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Backport PR #13101: Add input hooks for GTK4.
Matthias Bussonnier -
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@@ -0,0 +1,43 b''
1 """
2 Enable Gtk4 to be used interactively by IPython.
3 """
4 # -----------------------------------------------------------------------------
5 # Copyright (c) 2021, the IPython Development Team.
6 #
7 # Distributed under the terms of the Modified BSD License.
8 #
9 # The full license is in the file COPYING.txt, distributed with this software.
10 # -----------------------------------------------------------------------------
11
12 # -----------------------------------------------------------------------------
13 # Imports
14 # -----------------------------------------------------------------------------
15
16 import sys
17
18 from gi.repository import GLib
19
20 # -----------------------------------------------------------------------------
21 # Code
22 # -----------------------------------------------------------------------------
23
24
25 class _InputHook:
26 def __init__(self, context):
27 self._quit = False
28 GLib.io_add_watch(sys.stdin, GLib.PRIORITY_DEFAULT, GLib.IO_IN, self.quit)
29
30 def quit(self, *args, **kwargs):
31 self._quit = True
32 return False
33
34 def run(self):
35 context = GLib.MainContext.default()
36 while not self._quit:
37 context.iteration(True)
38
39
40 def inputhook_gtk4():
41 hook = _InputHook()
42 hook.run()
43 return 0
@@ -0,0 +1,27 b''
1 """
2 prompt_toolkit input hook for GTK 4.
3 """
4
5 from gi.repository import GLib
6
7
8 class _InputHook:
9 def __init__(self, context):
10 self._quit = False
11 GLib.io_add_watch(
12 context.fileno(), GLib.PRIORITY_DEFAULT, GLib.IO_IN, self.quit
13 )
14
15 def quit(self, *args, **kwargs):
16 self._quit = True
17 return False
18
19 def run(self):
20 context = GLib.MainContext.default()
21 while not self._quit:
22 context.iteration(True)
23
24
25 def inputhook(context):
26 hook = _InputHook(context)
27 hook.run()
@@ -0,0 +1,37 b''
1 #!/usr/bin/env python
2 """Simple Gtk example to manually test event loop integration.
3
4 This is meant to run tests manually in ipython as:
5
6 In [1]: %gui gtk4
7
8 In [2]: %run gui-gtk4.py
9 """
10
11 import gi
12
13 gi.require_version("Gtk", "4.0")
14 from gi.repository import Gtk, GLib # noqa
15
16
17 def hello_world(wigdet, data=None):
18 print("Hello World")
19
20
21 def close_request_cb(widget, data=None):
22 global running
23 running = False
24
25
26 running = True
27 window = Gtk.Window()
28 window.connect("close-request", close_request_cb)
29 button = Gtk.Button(label="Hello World")
30 button.connect("clicked", hello_world, None)
31
32 window.set_child(button)
33 window.show()
34
35 context = GLib.MainContext.default()
36 while running:
37 context.iteration(True)
@@ -1,663 +1,664 b''
1 1 """Implementation of basic magic functions."""
2 2
3 3
4 4 import argparse
5 5 from logging import error
6 6 import io
7 7 from pprint import pformat
8 8 import sys
9 9 from warnings import warn
10 10
11 11 from traitlets.utils.importstring import import_item
12 12 from IPython.core import magic_arguments, page
13 13 from IPython.core.error import UsageError
14 14 from IPython.core.magic import Magics, magics_class, line_magic, magic_escapes
15 15 from IPython.utils.text import format_screen, dedent, indent
16 16 from IPython.testing.skipdoctest import skip_doctest
17 17 from IPython.utils.ipstruct import Struct
18 18
19 19
20 20 class MagicsDisplay(object):
21 21 def __init__(self, magics_manager, ignore=None):
22 22 self.ignore = ignore if ignore else []
23 23 self.magics_manager = magics_manager
24 24
25 25 def _lsmagic(self):
26 26 """The main implementation of the %lsmagic"""
27 27 mesc = magic_escapes['line']
28 28 cesc = magic_escapes['cell']
29 29 mman = self.magics_manager
30 30 magics = mman.lsmagic()
31 31 out = ['Available line magics:',
32 32 mesc + (' '+mesc).join(sorted([m for m,v in magics['line'].items() if (v not in self.ignore)])),
33 33 '',
34 34 'Available cell magics:',
35 35 cesc + (' '+cesc).join(sorted([m for m,v in magics['cell'].items() if (v not in self.ignore)])),
36 36 '',
37 37 mman.auto_status()]
38 38 return '\n'.join(out)
39 39
40 40 def _repr_pretty_(self, p, cycle):
41 41 p.text(self._lsmagic())
42 42
43 43 def __str__(self):
44 44 return self._lsmagic()
45 45
46 46 def _jsonable(self):
47 47 """turn magics dict into jsonable dict of the same structure
48 48
49 49 replaces object instances with their class names as strings
50 50 """
51 51 magic_dict = {}
52 52 mman = self.magics_manager
53 53 magics = mman.lsmagic()
54 54 for key, subdict in magics.items():
55 55 d = {}
56 56 magic_dict[key] = d
57 57 for name, obj in subdict.items():
58 58 try:
59 59 classname = obj.__self__.__class__.__name__
60 60 except AttributeError:
61 61 classname = 'Other'
62 62
63 63 d[name] = classname
64 64 return magic_dict
65 65
66 66 def _repr_json_(self):
67 67 return self._jsonable()
68 68
69 69
70 70 @magics_class
71 71 class BasicMagics(Magics):
72 72 """Magics that provide central IPython functionality.
73 73
74 74 These are various magics that don't fit into specific categories but that
75 75 are all part of the base 'IPython experience'."""
76 76
77 77 @magic_arguments.magic_arguments()
78 78 @magic_arguments.argument(
79 79 '-l', '--line', action='store_true',
80 80 help="""Create a line magic alias."""
81 81 )
82 82 @magic_arguments.argument(
83 83 '-c', '--cell', action='store_true',
84 84 help="""Create a cell magic alias."""
85 85 )
86 86 @magic_arguments.argument(
87 87 'name',
88 88 help="""Name of the magic to be created."""
89 89 )
90 90 @magic_arguments.argument(
91 91 'target',
92 92 help="""Name of the existing line or cell magic."""
93 93 )
94 94 @magic_arguments.argument(
95 95 '-p', '--params', default=None,
96 96 help="""Parameters passed to the magic function."""
97 97 )
98 98 @line_magic
99 99 def alias_magic(self, line=''):
100 100 """Create an alias for an existing line or cell magic.
101 101
102 102 Examples
103 103 --------
104 104 ::
105 105
106 106 In [1]: %alias_magic t timeit
107 107 Created `%t` as an alias for `%timeit`.
108 108 Created `%%t` as an alias for `%%timeit`.
109 109
110 110 In [2]: %t -n1 pass
111 111 1 loops, best of 3: 954 ns per loop
112 112
113 113 In [3]: %%t -n1
114 114 ...: pass
115 115 ...:
116 116 1 loops, best of 3: 954 ns per loop
117 117
118 118 In [4]: %alias_magic --cell whereami pwd
119 119 UsageError: Cell magic function `%%pwd` not found.
120 120 In [5]: %alias_magic --line whereami pwd
121 121 Created `%whereami` as an alias for `%pwd`.
122 122
123 123 In [6]: %whereami
124 124 Out[6]: u'/home/testuser'
125 125
126 126 In [7]: %alias_magic h history "-p -l 30" --line
127 127 Created `%h` as an alias for `%history -l 30`.
128 128 """
129 129
130 130 args = magic_arguments.parse_argstring(self.alias_magic, line)
131 131 shell = self.shell
132 132 mman = self.shell.magics_manager
133 133 escs = ''.join(magic_escapes.values())
134 134
135 135 target = args.target.lstrip(escs)
136 136 name = args.name.lstrip(escs)
137 137
138 138 params = args.params
139 139 if (params and
140 140 ((params.startswith('"') and params.endswith('"'))
141 141 or (params.startswith("'") and params.endswith("'")))):
142 142 params = params[1:-1]
143 143
144 144 # Find the requested magics.
145 145 m_line = shell.find_magic(target, 'line')
146 146 m_cell = shell.find_magic(target, 'cell')
147 147 if args.line and m_line is None:
148 148 raise UsageError('Line magic function `%s%s` not found.' %
149 149 (magic_escapes['line'], target))
150 150 if args.cell and m_cell is None:
151 151 raise UsageError('Cell magic function `%s%s` not found.' %
152 152 (magic_escapes['cell'], target))
153 153
154 154 # If --line and --cell are not specified, default to the ones
155 155 # that are available.
156 156 if not args.line and not args.cell:
157 157 if not m_line and not m_cell:
158 158 raise UsageError(
159 159 'No line or cell magic with name `%s` found.' % target
160 160 )
161 161 args.line = bool(m_line)
162 162 args.cell = bool(m_cell)
163 163
164 164 params_str = "" if params is None else " " + params
165 165
166 166 if args.line:
167 167 mman.register_alias(name, target, 'line', params)
168 168 print('Created `%s%s` as an alias for `%s%s%s`.' % (
169 169 magic_escapes['line'], name,
170 170 magic_escapes['line'], target, params_str))
171 171
172 172 if args.cell:
173 173 mman.register_alias(name, target, 'cell', params)
174 174 print('Created `%s%s` as an alias for `%s%s%s`.' % (
175 175 magic_escapes['cell'], name,
176 176 magic_escapes['cell'], target, params_str))
177 177
178 178 @line_magic
179 179 def lsmagic(self, parameter_s=''):
180 180 """List currently available magic functions."""
181 181 return MagicsDisplay(self.shell.magics_manager, ignore=[])
182 182
183 183 def _magic_docs(self, brief=False, rest=False):
184 184 """Return docstrings from magic functions."""
185 185 mman = self.shell.magics_manager
186 186 docs = mman.lsmagic_docs(brief, missing='No documentation')
187 187
188 188 if rest:
189 189 format_string = '**%s%s**::\n\n%s\n\n'
190 190 else:
191 191 format_string = '%s%s:\n%s\n'
192 192
193 193 return ''.join(
194 194 [format_string % (magic_escapes['line'], fname,
195 195 indent(dedent(fndoc)))
196 196 for fname, fndoc in sorted(docs['line'].items())]
197 197 +
198 198 [format_string % (magic_escapes['cell'], fname,
199 199 indent(dedent(fndoc)))
200 200 for fname, fndoc in sorted(docs['cell'].items())]
201 201 )
202 202
203 203 @line_magic
204 204 def magic(self, parameter_s=''):
205 205 """Print information about the magic function system.
206 206
207 207 Supported formats: -latex, -brief, -rest
208 208 """
209 209
210 210 mode = ''
211 211 try:
212 212 mode = parameter_s.split()[0][1:]
213 213 except IndexError:
214 214 pass
215 215
216 216 brief = (mode == 'brief')
217 217 rest = (mode == 'rest')
218 218 magic_docs = self._magic_docs(brief, rest)
219 219
220 220 if mode == 'latex':
221 221 print(self.format_latex(magic_docs))
222 222 return
223 223 else:
224 224 magic_docs = format_screen(magic_docs)
225 225
226 226 out = ["""
227 227 IPython's 'magic' functions
228 228 ===========================
229 229
230 230 The magic function system provides a series of functions which allow you to
231 231 control the behavior of IPython itself, plus a lot of system-type
232 232 features. There are two kinds of magics, line-oriented and cell-oriented.
233 233
234 234 Line magics are prefixed with the % character and work much like OS
235 235 command-line calls: they get as an argument the rest of the line, where
236 236 arguments are passed without parentheses or quotes. For example, this will
237 237 time the given statement::
238 238
239 239 %timeit range(1000)
240 240
241 241 Cell magics are prefixed with a double %%, and they are functions that get as
242 242 an argument not only the rest of the line, but also the lines below it in a
243 243 separate argument. These magics are called with two arguments: the rest of the
244 244 call line and the body of the cell, consisting of the lines below the first.
245 245 For example::
246 246
247 247 %%timeit x = numpy.random.randn((100, 100))
248 248 numpy.linalg.svd(x)
249 249
250 250 will time the execution of the numpy svd routine, running the assignment of x
251 251 as part of the setup phase, which is not timed.
252 252
253 253 In a line-oriented client (the terminal or Qt console IPython), starting a new
254 254 input with %% will automatically enter cell mode, and IPython will continue
255 255 reading input until a blank line is given. In the notebook, simply type the
256 256 whole cell as one entity, but keep in mind that the %% escape can only be at
257 257 the very start of the cell.
258 258
259 259 NOTE: If you have 'automagic' enabled (via the command line option or with the
260 260 %automagic function), you don't need to type in the % explicitly for line
261 261 magics; cell magics always require an explicit '%%' escape. By default,
262 262 IPython ships with automagic on, so you should only rarely need the % escape.
263 263
264 264 Example: typing '%cd mydir' (without the quotes) changes your working directory
265 265 to 'mydir', if it exists.
266 266
267 267 For a list of the available magic functions, use %lsmagic. For a description
268 268 of any of them, type %magic_name?, e.g. '%cd?'.
269 269
270 270 Currently the magic system has the following functions:""",
271 271 magic_docs,
272 272 "Summary of magic functions (from %slsmagic):" % magic_escapes['line'],
273 273 str(self.lsmagic()),
274 274 ]
275 275 page.page('\n'.join(out))
276 276
277 277
278 278 @line_magic
279 279 def page(self, parameter_s=''):
280 280 """Pretty print the object and display it through a pager.
281 281
282 282 %page [options] OBJECT
283 283
284 284 If no object is given, use _ (last output).
285 285
286 286 Options:
287 287
288 288 -r: page str(object), don't pretty-print it."""
289 289
290 290 # After a function contributed by Olivier Aubert, slightly modified.
291 291
292 292 # Process options/args
293 293 opts, args = self.parse_options(parameter_s, 'r')
294 294 raw = 'r' in opts
295 295
296 296 oname = args and args or '_'
297 297 info = self.shell._ofind(oname)
298 298 if info['found']:
299 299 txt = (raw and str or pformat)( info['obj'] )
300 300 page.page(txt)
301 301 else:
302 302 print('Object `%s` not found' % oname)
303 303
304 304 @line_magic
305 305 def pprint(self, parameter_s=''):
306 306 """Toggle pretty printing on/off."""
307 307 ptformatter = self.shell.display_formatter.formatters['text/plain']
308 308 ptformatter.pprint = bool(1 - ptformatter.pprint)
309 309 print('Pretty printing has been turned',
310 310 ['OFF','ON'][ptformatter.pprint])
311 311
312 312 @line_magic
313 313 def colors(self, parameter_s=''):
314 314 """Switch color scheme for prompts, info system and exception handlers.
315 315
316 316 Currently implemented schemes: NoColor, Linux, LightBG.
317 317
318 318 Color scheme names are not case-sensitive.
319 319
320 320 Examples
321 321 --------
322 322 To get a plain black and white terminal::
323 323
324 324 %colors nocolor
325 325 """
326 326 def color_switch_err(name):
327 327 warn('Error changing %s color schemes.\n%s' %
328 328 (name, sys.exc_info()[1]), stacklevel=2)
329 329
330 330
331 331 new_scheme = parameter_s.strip()
332 332 if not new_scheme:
333 333 raise UsageError(
334 334 "%colors: you must specify a color scheme. See '%colors?'")
335 335 # local shortcut
336 336 shell = self.shell
337 337
338 338 # Set shell colour scheme
339 339 try:
340 340 shell.colors = new_scheme
341 341 shell.refresh_style()
342 342 except:
343 343 color_switch_err('shell')
344 344
345 345 # Set exception colors
346 346 try:
347 347 shell.InteractiveTB.set_colors(scheme = new_scheme)
348 348 shell.SyntaxTB.set_colors(scheme = new_scheme)
349 349 except:
350 350 color_switch_err('exception')
351 351
352 352 # Set info (for 'object?') colors
353 353 if shell.color_info:
354 354 try:
355 355 shell.inspector.set_active_scheme(new_scheme)
356 356 except:
357 357 color_switch_err('object inspector')
358 358 else:
359 359 shell.inspector.set_active_scheme('NoColor')
360 360
361 361 @line_magic
362 362 def xmode(self, parameter_s=''):
363 363 """Switch modes for the exception handlers.
364 364
365 365 Valid modes: Plain, Context, Verbose, and Minimal.
366 366
367 367 If called without arguments, acts as a toggle.
368 368
369 369 When in verbose mode the value --show (and --hide)
370 370 will respectively show (or hide) frames with ``__tracebackhide__ =
371 371 True`` value set.
372 372 """
373 373
374 374 def xmode_switch_err(name):
375 375 warn('Error changing %s exception modes.\n%s' %
376 376 (name,sys.exc_info()[1]))
377 377
378 378 shell = self.shell
379 379 if parameter_s.strip() == "--show":
380 380 shell.InteractiveTB.skip_hidden = False
381 381 return
382 382 if parameter_s.strip() == "--hide":
383 383 shell.InteractiveTB.skip_hidden = True
384 384 return
385 385
386 386 new_mode = parameter_s.strip().capitalize()
387 387 try:
388 388 shell.InteractiveTB.set_mode(mode=new_mode)
389 389 print('Exception reporting mode:',shell.InteractiveTB.mode)
390 390 except:
391 391 xmode_switch_err('user')
392 392
393 393 @line_magic
394 394 def quickref(self, arg):
395 395 """ Show a quick reference sheet """
396 396 from IPython.core.usage import quick_reference
397 397 qr = quick_reference + self._magic_docs(brief=True)
398 398 page.page(qr)
399 399
400 400 @line_magic
401 401 def doctest_mode(self, parameter_s=''):
402 402 """Toggle doctest mode on and off.
403 403
404 404 This mode is intended to make IPython behave as much as possible like a
405 405 plain Python shell, from the perspective of how its prompts, exceptions
406 406 and output look. This makes it easy to copy and paste parts of a
407 407 session into doctests. It does so by:
408 408
409 409 - Changing the prompts to the classic ``>>>`` ones.
410 410 - Changing the exception reporting mode to 'Plain'.
411 411 - Disabling pretty-printing of output.
412 412
413 413 Note that IPython also supports the pasting of code snippets that have
414 414 leading '>>>' and '...' prompts in them. This means that you can paste
415 415 doctests from files or docstrings (even if they have leading
416 416 whitespace), and the code will execute correctly. You can then use
417 417 '%history -t' to see the translated history; this will give you the
418 418 input after removal of all the leading prompts and whitespace, which
419 419 can be pasted back into an editor.
420 420
421 421 With these features, you can switch into this mode easily whenever you
422 422 need to do testing and changes to doctests, without having to leave
423 423 your existing IPython session.
424 424 """
425 425
426 426 # Shorthands
427 427 shell = self.shell
428 428 meta = shell.meta
429 429 disp_formatter = self.shell.display_formatter
430 430 ptformatter = disp_formatter.formatters['text/plain']
431 431 # dstore is a data store kept in the instance metadata bag to track any
432 432 # changes we make, so we can undo them later.
433 433 dstore = meta.setdefault('doctest_mode',Struct())
434 434 save_dstore = dstore.setdefault
435 435
436 436 # save a few values we'll need to recover later
437 437 mode = save_dstore('mode',False)
438 438 save_dstore('rc_pprint',ptformatter.pprint)
439 439 save_dstore('xmode',shell.InteractiveTB.mode)
440 440 save_dstore('rc_separate_out',shell.separate_out)
441 441 save_dstore('rc_separate_out2',shell.separate_out2)
442 442 save_dstore('rc_separate_in',shell.separate_in)
443 443 save_dstore('rc_active_types',disp_formatter.active_types)
444 444
445 445 if not mode:
446 446 # turn on
447 447
448 448 # Prompt separators like plain python
449 449 shell.separate_in = ''
450 450 shell.separate_out = ''
451 451 shell.separate_out2 = ''
452 452
453 453
454 454 ptformatter.pprint = False
455 455 disp_formatter.active_types = ['text/plain']
456 456
457 457 shell.magic('xmode Plain')
458 458 else:
459 459 # turn off
460 460 shell.separate_in = dstore.rc_separate_in
461 461
462 462 shell.separate_out = dstore.rc_separate_out
463 463 shell.separate_out2 = dstore.rc_separate_out2
464 464
465 465 ptformatter.pprint = dstore.rc_pprint
466 466 disp_formatter.active_types = dstore.rc_active_types
467 467
468 468 shell.magic('xmode ' + dstore.xmode)
469 469
470 470 # mode here is the state before we switch; switch_doctest_mode takes
471 471 # the mode we're switching to.
472 472 shell.switch_doctest_mode(not mode)
473 473
474 474 # Store new mode and inform
475 475 dstore.mode = bool(not mode)
476 476 mode_label = ['OFF','ON'][dstore.mode]
477 477 print('Doctest mode is:', mode_label)
478 478
479 479 @line_magic
480 480 def gui(self, parameter_s=''):
481 481 """Enable or disable IPython GUI event loop integration.
482 482
483 483 %gui [GUINAME]
484 484
485 485 This magic replaces IPython's threaded shells that were activated
486 486 using the (pylab/wthread/etc.) command line flags. GUI toolkits
487 487 can now be enabled at runtime and keyboard
488 488 interrupts should work without any problems. The following toolkits
489 489 are supported: wxPython, PyQt4, PyGTK, Tk and Cocoa (OSX)::
490 490
491 491 %gui wx # enable wxPython event loop integration
492 492 %gui qt4|qt # enable PyQt4 event loop integration
493 493 %gui qt5 # enable PyQt5 event loop integration
494 494 %gui gtk # enable PyGTK event loop integration
495 495 %gui gtk3 # enable Gtk3 event loop integration
496 %gui gtk4 # enable Gtk4 event loop integration
496 497 %gui tk # enable Tk event loop integration
497 498 %gui osx # enable Cocoa event loop integration
498 499 # (requires %matplotlib 1.1)
499 500 %gui # disable all event loop integration
500 501
501 502 WARNING: after any of these has been called you can simply create
502 503 an application object, but DO NOT start the event loop yourself, as
503 504 we have already handled that.
504 505 """
505 506 opts, arg = self.parse_options(parameter_s, '')
506 507 if arg=='': arg = None
507 508 try:
508 509 return self.shell.enable_gui(arg)
509 510 except Exception as e:
510 511 # print simple error message, rather than traceback if we can't
511 512 # hook up the GUI
512 513 error(str(e))
513 514
514 515 @skip_doctest
515 516 @line_magic
516 517 def precision(self, s=''):
517 518 """Set floating point precision for pretty printing.
518 519
519 520 Can set either integer precision or a format string.
520 521
521 522 If numpy has been imported and precision is an int,
522 523 numpy display precision will also be set, via ``numpy.set_printoptions``.
523 524
524 525 If no argument is given, defaults will be restored.
525 526
526 527 Examples
527 528 --------
528 529 ::
529 530
530 531 In [1]: from math import pi
531 532
532 533 In [2]: %precision 3
533 534 Out[2]: u'%.3f'
534 535
535 536 In [3]: pi
536 537 Out[3]: 3.142
537 538
538 539 In [4]: %precision %i
539 540 Out[4]: u'%i'
540 541
541 542 In [5]: pi
542 543 Out[5]: 3
543 544
544 545 In [6]: %precision %e
545 546 Out[6]: u'%e'
546 547
547 548 In [7]: pi**10
548 549 Out[7]: 9.364805e+04
549 550
550 551 In [8]: %precision
551 552 Out[8]: u'%r'
552 553
553 554 In [9]: pi**10
554 555 Out[9]: 93648.047476082982
555 556 """
556 557 ptformatter = self.shell.display_formatter.formatters['text/plain']
557 558 ptformatter.float_precision = s
558 559 return ptformatter.float_format
559 560
560 561 @magic_arguments.magic_arguments()
561 562 @magic_arguments.argument(
562 563 '-e', '--export', action='store_true', default=False,
563 564 help=argparse.SUPPRESS
564 565 )
565 566 @magic_arguments.argument(
566 567 'filename', type=str,
567 568 help='Notebook name or filename'
568 569 )
569 570 @line_magic
570 571 def notebook(self, s):
571 572 """Export and convert IPython notebooks.
572 573
573 574 This function can export the current IPython history to a notebook file.
574 575 For example, to export the history to "foo.ipynb" do "%notebook foo.ipynb".
575 576
576 577 The -e or --export flag is deprecated in IPython 5.2, and will be
577 578 removed in the future.
578 579 """
579 580 args = magic_arguments.parse_argstring(self.notebook, s)
580 581
581 582 from nbformat import write, v4
582 583
583 584 cells = []
584 585 hist = list(self.shell.history_manager.get_range())
585 586 if(len(hist)<=1):
586 587 raise ValueError('History is empty, cannot export')
587 588 for session, execution_count, source in hist[:-1]:
588 589 cells.append(v4.new_code_cell(
589 590 execution_count=execution_count,
590 591 source=source
591 592 ))
592 593 nb = v4.new_notebook(cells=cells)
593 594 with io.open(args.filename, 'w', encoding='utf-8') as f:
594 595 write(nb, f, version=4)
595 596
596 597 @magics_class
597 598 class AsyncMagics(BasicMagics):
598 599
599 600 @line_magic
600 601 def autoawait(self, parameter_s):
601 602 """
602 603 Allow to change the status of the autoawait option.
603 604
604 605 This allow you to set a specific asynchronous code runner.
605 606
606 607 If no value is passed, print the currently used asynchronous integration
607 608 and whether it is activated.
608 609
609 610 It can take a number of value evaluated in the following order:
610 611
611 612 - False/false/off deactivate autoawait integration
612 613 - True/true/on activate autoawait integration using configured default
613 614 loop
614 615 - asyncio/curio/trio activate autoawait integration and use integration
615 616 with said library.
616 617
617 618 - `sync` turn on the pseudo-sync integration (mostly used for
618 619 `IPython.embed()` which does not run IPython with a real eventloop and
619 620 deactivate running asynchronous code. Turning on Asynchronous code with
620 621 the pseudo sync loop is undefined behavior and may lead IPython to crash.
621 622
622 623 If the passed parameter does not match any of the above and is a python
623 624 identifier, get said object from user namespace and set it as the
624 625 runner, and activate autoawait.
625 626
626 627 If the object is a fully qualified object name, attempt to import it and
627 628 set it as the runner, and activate autoawait.
628 629
629 630
630 631 The exact behavior of autoawait is experimental and subject to change
631 632 across version of IPython and Python.
632 633 """
633 634
634 635 param = parameter_s.strip()
635 636 d = {True: "on", False: "off"}
636 637
637 638 if not param:
638 639 print("IPython autoawait is `{}`, and set to use `{}`".format(
639 640 d[self.shell.autoawait],
640 641 self.shell.loop_runner
641 642 ))
642 643 return None
643 644
644 645 if param.lower() in ('false', 'off'):
645 646 self.shell.autoawait = False
646 647 return None
647 648 if param.lower() in ('true', 'on'):
648 649 self.shell.autoawait = True
649 650 return None
650 651
651 652 if param in self.shell.loop_runner_map:
652 653 self.shell.loop_runner, self.shell.autoawait = self.shell.loop_runner_map[param]
653 654 return None
654 655
655 656 if param in self.shell.user_ns :
656 657 self.shell.loop_runner = self.shell.user_ns[param]
657 658 self.shell.autoawait = True
658 659 return None
659 660
660 661 runner = import_item(param)
661 662
662 663 self.shell.loop_runner = runner
663 664 self.shell.autoawait = True
@@ -1,166 +1,166 b''
1 1 """Implementation of magic functions for matplotlib/pylab support.
2 2 """
3 3 #-----------------------------------------------------------------------------
4 4 # Copyright (c) 2012 The IPython Development Team.
5 5 #
6 6 # Distributed under the terms of the Modified BSD License.
7 7 #
8 8 # The full license is in the file COPYING.txt, distributed with this software.
9 9 #-----------------------------------------------------------------------------
10 10
11 11 #-----------------------------------------------------------------------------
12 12 # Imports
13 13 #-----------------------------------------------------------------------------
14 14
15 15 # Our own packages
16 16 from traitlets.config.application import Application
17 17 from IPython.core import magic_arguments
18 18 from IPython.core.magic import Magics, magics_class, line_magic
19 19 from IPython.testing.skipdoctest import skip_doctest
20 20 from warnings import warn
21 21 from IPython.core.pylabtools import backends
22 22
23 23 #-----------------------------------------------------------------------------
24 24 # Magic implementation classes
25 25 #-----------------------------------------------------------------------------
26 26
27 27 magic_gui_arg = magic_arguments.argument(
28 28 'gui', nargs='?',
29 29 help="""Name of the matplotlib backend to use %s.
30 30 If given, the corresponding matplotlib backend is used,
31 31 otherwise it will be matplotlib's default
32 32 (which you can set in your matplotlib config file).
33 33 """ % str(tuple(sorted(backends.keys())))
34 34 )
35 35
36 36
37 37 @magics_class
38 38 class PylabMagics(Magics):
39 39 """Magics related to matplotlib's pylab support"""
40 40
41 41 @skip_doctest
42 42 @line_magic
43 43 @magic_arguments.magic_arguments()
44 44 @magic_arguments.argument('-l', '--list', action='store_true',
45 45 help='Show available matplotlib backends')
46 46 @magic_gui_arg
47 47 def matplotlib(self, line=''):
48 48 """Set up matplotlib to work interactively.
49 49
50 50 This function lets you activate matplotlib interactive support
51 51 at any point during an IPython session. It does not import anything
52 52 into the interactive namespace.
53 53
54 54 If you are using the inline matplotlib backend in the IPython Notebook
55 55 you can set which figure formats are enabled using the following::
56 56
57 57 In [1]: from IPython.display import set_matplotlib_formats
58 58
59 59 In [2]: set_matplotlib_formats('pdf', 'svg')
60 60
61 61 The default for inline figures sets `bbox_inches` to 'tight'. This can
62 62 cause discrepancies between the displayed image and the identical
63 63 image created using `savefig`. This behavior can be disabled using the
64 64 `%config` magic::
65 65
66 66 In [3]: %config InlineBackend.print_figure_kwargs = {'bbox_inches':None}
67 67
68 68 In addition, see the docstring of
69 69 `IPython.display.set_matplotlib_formats` and
70 70 `IPython.display.set_matplotlib_close` for more information on
71 71 changing additional behaviors of the inline backend.
72 72
73 73 Examples
74 74 --------
75 75 To enable the inline backend for usage with the IPython Notebook::
76 76
77 77 In [1]: %matplotlib inline
78 78
79 79 In this case, where the matplotlib default is TkAgg::
80 80
81 81 In [2]: %matplotlib
82 82 Using matplotlib backend: TkAgg
83 83
84 84 But you can explicitly request a different GUI backend::
85 85
86 86 In [3]: %matplotlib qt
87 87
88 88 You can list the available backends using the -l/--list option::
89 89
90 90 In [4]: %matplotlib --list
91 Available matplotlib backends: ['osx', 'qt4', 'qt5', 'gtk3', 'notebook', 'wx', 'qt', 'nbagg',
91 Available matplotlib backends: ['osx', 'qt4', 'qt5', 'gtk3', 'gtk4', 'notebook', 'wx', 'qt', 'nbagg',
92 92 'gtk', 'tk', 'inline']
93 93 """
94 94 args = magic_arguments.parse_argstring(self.matplotlib, line)
95 95 if args.list:
96 96 backends_list = list(backends.keys())
97 97 print("Available matplotlib backends: %s" % backends_list)
98 98 else:
99 99 gui, backend = self.shell.enable_matplotlib(args.gui.lower() if isinstance(args.gui, str) else args.gui)
100 100 self._show_matplotlib_backend(args.gui, backend)
101 101
102 102 @skip_doctest
103 103 @line_magic
104 104 @magic_arguments.magic_arguments()
105 105 @magic_arguments.argument(
106 106 '--no-import-all', action='store_true', default=None,
107 107 help="""Prevent IPython from performing ``import *`` into the interactive namespace.
108 108
109 109 You can govern the default behavior of this flag with the
110 110 InteractiveShellApp.pylab_import_all configurable.
111 111 """
112 112 )
113 113 @magic_gui_arg
114 114 def pylab(self, line=''):
115 115 """Load numpy and matplotlib to work interactively.
116 116
117 117 This function lets you activate pylab (matplotlib, numpy and
118 118 interactive support) at any point during an IPython session.
119 119
120 120 %pylab makes the following imports::
121 121
122 122 import numpy
123 123 import matplotlib
124 124 from matplotlib import pylab, mlab, pyplot
125 125 np = numpy
126 126 plt = pyplot
127 127
128 128 from IPython.display import display
129 129 from IPython.core.pylabtools import figsize, getfigs
130 130
131 131 from pylab import *
132 132 from numpy import *
133 133
134 134 If you pass `--no-import-all`, the last two `*` imports will be excluded.
135 135
136 136 See the %matplotlib magic for more details about activating matplotlib
137 137 without affecting the interactive namespace.
138 138 """
139 139 args = magic_arguments.parse_argstring(self.pylab, line)
140 140 if args.no_import_all is None:
141 141 # get default from Application
142 142 if Application.initialized():
143 143 app = Application.instance()
144 144 try:
145 145 import_all = app.pylab_import_all
146 146 except AttributeError:
147 147 import_all = True
148 148 else:
149 149 # nothing specified, no app - default True
150 150 import_all = True
151 151 else:
152 152 # invert no-import flag
153 153 import_all = not args.no_import_all
154 154
155 155 gui, backend, clobbered = self.shell.enable_pylab(args.gui, import_all=import_all)
156 156 self._show_matplotlib_backend(args.gui, backend)
157 157 print("Populating the interactive namespace from numpy and matplotlib")
158 158 if clobbered:
159 159 warn("pylab import has clobbered these variables: %s" % clobbered +
160 160 "\n`%matplotlib` prevents importing * from pylab and numpy"
161 161 )
162 162
163 163 def _show_matplotlib_backend(self, gui, backend):
164 164 """show matplotlib message backend message"""
165 165 if not gui or gui == 'auto':
166 166 print("Using matplotlib backend: %s" % backend)
@@ -1,389 +1,391 b''
1 1 # -*- coding: utf-8 -*-
2 2 """Pylab (matplotlib) support utilities."""
3 3
4 4 # Copyright (c) IPython Development Team.
5 5 # Distributed under the terms of the Modified BSD License.
6 6
7 7 from io import BytesIO
8 8 import warnings
9 9
10 10 from IPython.core.display import _pngxy
11 11 from IPython.utils.decorators import flag_calls
12 12
13 13 # If user specifies a GUI, that dictates the backend, otherwise we read the
14 14 # user's mpl default from the mpl rc structure
15 15 backends = {
16 16 "tk": "TkAgg",
17 17 "gtk": "GTKAgg",
18 18 "gtk3": "GTK3Agg",
19 "gtk4": "GTK4Agg",
19 20 "wx": "WXAgg",
20 21 "qt4": "Qt4Agg",
21 22 "qt5": "Qt5Agg",
22 23 "qt6": "QtAgg",
23 24 "qt": "Qt5Agg",
24 25 "osx": "MacOSX",
25 26 "nbagg": "nbAgg",
26 27 "notebook": "nbAgg",
27 28 "agg": "agg",
28 29 "svg": "svg",
29 30 "pdf": "pdf",
30 31 "ps": "ps",
31 32 "inline": "module://matplotlib_inline.backend_inline",
32 33 "ipympl": "module://ipympl.backend_nbagg",
33 34 "widget": "module://ipympl.backend_nbagg",
34 35 }
35 36
36 37 # We also need a reverse backends2guis mapping that will properly choose which
37 38 # GUI support to activate based on the desired matplotlib backend. For the
38 39 # most part it's just a reverse of the above dict, but we also need to add a
39 40 # few others that map to the same GUI manually:
40 41 backend2gui = dict(zip(backends.values(), backends.keys()))
41 42 # Our tests expect backend2gui to just return 'qt'
42 43 backend2gui['Qt4Agg'] = 'qt'
43 44 # In the reverse mapping, there are a few extra valid matplotlib backends that
44 45 # map to the same GUI support
45 backend2gui['GTK'] = backend2gui['GTKCairo'] = 'gtk'
46 backend2gui['GTK3Cairo'] = 'gtk3'
47 backend2gui['WX'] = 'wx'
48 backend2gui['CocoaAgg'] = 'osx'
46 backend2gui["GTK"] = backend2gui["GTKCairo"] = "gtk"
47 backend2gui["GTK3Cairo"] = "gtk3"
48 backend2gui["GTK4Cairo"] = "gtk4"
49 backend2gui["WX"] = "wx"
50 backend2gui["CocoaAgg"] = "osx"
49 51 # And some backends that don't need GUI integration
50 52 del backend2gui["nbAgg"]
51 53 del backend2gui["agg"]
52 54 del backend2gui["svg"]
53 55 del backend2gui["pdf"]
54 56 del backend2gui["ps"]
55 57 del backend2gui["module://matplotlib_inline.backend_inline"]
56 58
57 59 #-----------------------------------------------------------------------------
58 60 # Matplotlib utilities
59 61 #-----------------------------------------------------------------------------
60 62
61 63
62 64 def getfigs(*fig_nums):
63 65 """Get a list of matplotlib figures by figure numbers.
64 66
65 67 If no arguments are given, all available figures are returned. If the
66 68 argument list contains references to invalid figures, a warning is printed
67 69 but the function continues pasting further figures.
68 70
69 71 Parameters
70 72 ----------
71 73 figs : tuple
72 74 A tuple of ints giving the figure numbers of the figures to return.
73 75 """
74 76 from matplotlib._pylab_helpers import Gcf
75 77 if not fig_nums:
76 78 fig_managers = Gcf.get_all_fig_managers()
77 79 return [fm.canvas.figure for fm in fig_managers]
78 80 else:
79 81 figs = []
80 82 for num in fig_nums:
81 83 f = Gcf.figs.get(num)
82 84 if f is None:
83 85 print('Warning: figure %s not available.' % num)
84 86 else:
85 87 figs.append(f.canvas.figure)
86 88 return figs
87 89
88 90
89 91 def figsize(sizex, sizey):
90 92 """Set the default figure size to be [sizex, sizey].
91 93
92 94 This is just an easy to remember, convenience wrapper that sets::
93 95
94 96 matplotlib.rcParams['figure.figsize'] = [sizex, sizey]
95 97 """
96 98 import matplotlib
97 99 matplotlib.rcParams['figure.figsize'] = [sizex, sizey]
98 100
99 101
100 102 def print_figure(fig, fmt='png', bbox_inches='tight', **kwargs):
101 103 """Print a figure to an image, and return the resulting file data
102 104
103 105 Returned data will be bytes unless ``fmt='svg'``,
104 106 in which case it will be unicode.
105 107
106 108 Any keyword args are passed to fig.canvas.print_figure,
107 109 such as ``quality`` or ``bbox_inches``.
108 110 """
109 111 # When there's an empty figure, we shouldn't return anything, otherwise we
110 112 # get big blank areas in the qt console.
111 113 if not fig.axes and not fig.lines:
112 114 return
113 115
114 116 dpi = fig.dpi
115 117 if fmt == 'retina':
116 118 dpi = dpi * 2
117 119 fmt = 'png'
118 120
119 121 # build keyword args
120 122 kw = {
121 123 "format":fmt,
122 124 "facecolor":fig.get_facecolor(),
123 125 "edgecolor":fig.get_edgecolor(),
124 126 "dpi":dpi,
125 127 "bbox_inches":bbox_inches,
126 128 }
127 129 # **kwargs get higher priority
128 130 kw.update(kwargs)
129 131
130 132 bytes_io = BytesIO()
131 133 if fig.canvas is None:
132 134 from matplotlib.backend_bases import FigureCanvasBase
133 135 FigureCanvasBase(fig)
134 136
135 137 fig.canvas.print_figure(bytes_io, **kw)
136 138 data = bytes_io.getvalue()
137 139 if fmt == 'svg':
138 140 data = data.decode('utf-8')
139 141 return data
140 142
141 143 def retina_figure(fig, **kwargs):
142 144 """format a figure as a pixel-doubled (retina) PNG"""
143 145 pngdata = print_figure(fig, fmt='retina', **kwargs)
144 146 # Make sure that retina_figure acts just like print_figure and returns
145 147 # None when the figure is empty.
146 148 if pngdata is None:
147 149 return
148 150 w, h = _pngxy(pngdata)
149 151 metadata = {"width": w//2, "height":h//2}
150 152 return pngdata, metadata
151 153
152 154 # We need a little factory function here to create the closure where
153 155 # safe_execfile can live.
154 156 def mpl_runner(safe_execfile):
155 157 """Factory to return a matplotlib-enabled runner for %run.
156 158
157 159 Parameters
158 160 ----------
159 161 safe_execfile : function
160 162 This must be a function with the same interface as the
161 163 :meth:`safe_execfile` method of IPython.
162 164
163 165 Returns
164 166 -------
165 167 A function suitable for use as the ``runner`` argument of the %run magic
166 168 function.
167 169 """
168 170
169 171 def mpl_execfile(fname,*where,**kw):
170 172 """matplotlib-aware wrapper around safe_execfile.
171 173
172 174 Its interface is identical to that of the :func:`execfile` builtin.
173 175
174 176 This is ultimately a call to execfile(), but wrapped in safeties to
175 177 properly handle interactive rendering."""
176 178
177 179 import matplotlib
178 180 import matplotlib.pyplot as plt
179 181
180 182 #print '*** Matplotlib runner ***' # dbg
181 183 # turn off rendering until end of script
182 184 is_interactive = matplotlib.rcParams['interactive']
183 185 matplotlib.interactive(False)
184 186 safe_execfile(fname,*where,**kw)
185 187 matplotlib.interactive(is_interactive)
186 188 # make rendering call now, if the user tried to do it
187 189 if plt.draw_if_interactive.called:
188 190 plt.draw()
189 191 plt.draw_if_interactive.called = False
190 192
191 193 # re-draw everything that is stale
192 194 try:
193 195 da = plt.draw_all
194 196 except AttributeError:
195 197 pass
196 198 else:
197 199 da()
198 200
199 201 return mpl_execfile
200 202
201 203
202 204 def _reshow_nbagg_figure(fig):
203 205 """reshow an nbagg figure"""
204 206 try:
205 207 reshow = fig.canvas.manager.reshow
206 208 except AttributeError:
207 209 raise NotImplementedError()
208 210 else:
209 211 reshow()
210 212
211 213
212 214 def select_figure_formats(shell, formats, **kwargs):
213 215 """Select figure formats for the inline backend.
214 216
215 217 Parameters
216 218 ==========
217 219 shell : InteractiveShell
218 220 The main IPython instance.
219 221 formats : str or set
220 222 One or a set of figure formats to enable: 'png', 'retina', 'jpeg', 'svg', 'pdf'.
221 223 **kwargs : any
222 224 Extra keyword arguments to be passed to fig.canvas.print_figure.
223 225 """
224 226 import matplotlib
225 227 from matplotlib.figure import Figure
226 228
227 229 svg_formatter = shell.display_formatter.formatters['image/svg+xml']
228 230 png_formatter = shell.display_formatter.formatters['image/png']
229 231 jpg_formatter = shell.display_formatter.formatters['image/jpeg']
230 232 pdf_formatter = shell.display_formatter.formatters['application/pdf']
231 233
232 234 if isinstance(formats, str):
233 235 formats = {formats}
234 236 # cast in case of list / tuple
235 237 formats = set(formats)
236 238
237 239 [ f.pop(Figure, None) for f in shell.display_formatter.formatters.values() ]
238 240 mplbackend = matplotlib.get_backend().lower()
239 241 if mplbackend == 'nbagg' or mplbackend == 'module://ipympl.backend_nbagg':
240 242 formatter = shell.display_formatter.ipython_display_formatter
241 243 formatter.for_type(Figure, _reshow_nbagg_figure)
242 244
243 245 supported = {'png', 'png2x', 'retina', 'jpg', 'jpeg', 'svg', 'pdf'}
244 246 bad = formats.difference(supported)
245 247 if bad:
246 248 bs = "%s" % ','.join([repr(f) for f in bad])
247 249 gs = "%s" % ','.join([repr(f) for f in supported])
248 250 raise ValueError("supported formats are: %s not %s" % (gs, bs))
249 251
250 252 if 'png' in formats:
251 253 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
252 254 if 'retina' in formats or 'png2x' in formats:
253 255 png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))
254 256 if 'jpg' in formats or 'jpeg' in formats:
255 257 jpg_formatter.for_type(Figure, lambda fig: print_figure(fig, 'jpg', **kwargs))
256 258 if 'svg' in formats:
257 259 svg_formatter.for_type(Figure, lambda fig: print_figure(fig, 'svg', **kwargs))
258 260 if 'pdf' in formats:
259 261 pdf_formatter.for_type(Figure, lambda fig: print_figure(fig, 'pdf', **kwargs))
260 262
261 263 #-----------------------------------------------------------------------------
262 264 # Code for initializing matplotlib and importing pylab
263 265 #-----------------------------------------------------------------------------
264 266
265 267
266 268 def find_gui_and_backend(gui=None, gui_select=None):
267 269 """Given a gui string return the gui and mpl backend.
268 270
269 271 Parameters
270 272 ----------
271 273 gui : str
272 274 Can be one of ('tk','gtk','wx','qt','qt4','inline','agg').
273 275 gui_select : str
274 276 Can be one of ('tk','gtk','wx','qt','qt4','inline').
275 277 This is any gui already selected by the shell.
276 278
277 279 Returns
278 280 -------
279 281 A tuple of (gui, backend) where backend is one of ('TkAgg','GTKAgg',
280 282 'WXAgg','Qt4Agg','module://matplotlib_inline.backend_inline','agg').
281 283 """
282 284
283 285 import matplotlib
284 286
285 287 if gui and gui != 'auto':
286 288 # select backend based on requested gui
287 289 backend = backends[gui]
288 290 if gui == 'agg':
289 291 gui = None
290 292 else:
291 293 # We need to read the backend from the original data structure, *not*
292 294 # from mpl.rcParams, since a prior invocation of %matplotlib may have
293 295 # overwritten that.
294 296 # WARNING: this assumes matplotlib 1.1 or newer!!
295 297 backend = matplotlib.rcParamsOrig['backend']
296 298 # In this case, we need to find what the appropriate gui selection call
297 299 # should be for IPython, so we can activate inputhook accordingly
298 300 gui = backend2gui.get(backend, None)
299 301
300 302 # If we have already had a gui active, we need it and inline are the
301 303 # ones allowed.
302 304 if gui_select and gui != gui_select:
303 305 gui = gui_select
304 306 backend = backends[gui]
305 307
306 308 return gui, backend
307 309
308 310
309 311 def activate_matplotlib(backend):
310 312 """Activate the given backend and set interactive to True."""
311 313
312 314 import matplotlib
313 315 matplotlib.interactive(True)
314 316
315 317 # Matplotlib had a bug where even switch_backend could not force
316 318 # the rcParam to update. This needs to be set *before* the module
317 319 # magic of switch_backend().
318 320 matplotlib.rcParams['backend'] = backend
319 321
320 322 # Due to circular imports, pyplot may be only partially initialised
321 323 # when this function runs.
322 324 # So avoid needing matplotlib attribute-lookup to access pyplot.
323 325 from matplotlib import pyplot as plt
324 326
325 327 plt.switch_backend(backend)
326 328
327 329 plt.show._needmain = False
328 330 # We need to detect at runtime whether show() is called by the user.
329 331 # For this, we wrap it into a decorator which adds a 'called' flag.
330 332 plt.draw_if_interactive = flag_calls(plt.draw_if_interactive)
331 333
332 334
333 335 def import_pylab(user_ns, import_all=True):
334 336 """Populate the namespace with pylab-related values.
335 337
336 338 Imports matplotlib, pylab, numpy, and everything from pylab and numpy.
337 339
338 340 Also imports a few names from IPython (figsize, display, getfigs)
339 341
340 342 """
341 343
342 344 # Import numpy as np/pyplot as plt are conventions we're trying to
343 345 # somewhat standardize on. Making them available to users by default
344 346 # will greatly help this.
345 347 s = ("import numpy\n"
346 348 "import matplotlib\n"
347 349 "from matplotlib import pylab, mlab, pyplot\n"
348 350 "np = numpy\n"
349 351 "plt = pyplot\n"
350 352 )
351 353 exec(s, user_ns)
352 354
353 355 if import_all:
354 356 s = ("from matplotlib.pylab import *\n"
355 357 "from numpy import *\n")
356 358 exec(s, user_ns)
357 359
358 360 # IPython symbols to add
359 361 user_ns['figsize'] = figsize
360 362 from IPython.core.display import display
361 363 # Add display and getfigs to the user's namespace
362 364 user_ns['display'] = display
363 365 user_ns['getfigs'] = getfigs
364 366
365 367
366 368 def configure_inline_support(shell, backend):
367 369 """
368 370 .. deprecated: 7.23
369 371
370 372 use `matplotlib_inline.backend_inline.configure_inline_support()`
371 373
372 374 Configure an IPython shell object for matplotlib use.
373 375
374 376 Parameters
375 377 ----------
376 378 shell : InteractiveShell instance
377 379
378 380 backend : matplotlib backend
379 381 """
380 382 warnings.warn(
381 383 "`configure_inline_support` is deprecated since IPython 7.23, directly "
382 384 "use `matplotlib_inline.backend_inline.configure_inline_support()`",
383 385 DeprecationWarning,
384 386 stacklevel=2,
385 387 )
386 388
387 389 from matplotlib_inline.backend_inline import configure_inline_support as configure_inline_support_orig
388 390
389 391 configure_inline_support_orig(shell, backend)
@@ -1,61 +1,62 b''
1 1 import importlib
2 2 import os
3 3
4 4 aliases = {
5 5 'qt4': 'qt',
6 6 'gtk2': 'gtk',
7 7 }
8 8
9 9 backends = [
10 10 "qt",
11 11 "qt4",
12 12 "qt5",
13 13 "qt6",
14 14 "gtk",
15 15 "gtk2",
16 16 "gtk3",
17 "gtk4",
17 18 "tk",
18 19 "wx",
19 20 "pyglet",
20 21 "glut",
21 22 "osx",
22 23 "asyncio",
23 24 ]
24 25
25 26 registered = {}
26 27
27 28 def register(name, inputhook):
28 29 """Register the function *inputhook* as an event loop integration."""
29 30 registered[name] = inputhook
30 31
31 32
32 33 class UnknownBackend(KeyError):
33 34 def __init__(self, name):
34 35 self.name = name
35 36
36 37 def __str__(self):
37 38 return ("No event loop integration for {!r}. "
38 39 "Supported event loops are: {}").format(self.name,
39 40 ', '.join(backends + sorted(registered)))
40 41
41 42
42 43 def get_inputhook_name_and_func(gui):
43 44 if gui in registered:
44 45 return gui, registered[gui]
45 46
46 47 if gui not in backends:
47 48 raise UnknownBackend(gui)
48 49
49 50 if gui in aliases:
50 51 return get_inputhook_name_and_func(aliases[gui])
51 52
52 53 gui_mod = gui
53 54 if gui == "qt5":
54 55 os.environ["QT_API"] = "pyqt5"
55 56 gui_mod = "qt"
56 57 elif gui == "qt6":
57 58 os.environ["QT_API"] = "pyqt6"
58 59 gui_mod = "qt"
59 60
60 61 mod = importlib.import_module('IPython.terminal.pt_inputhooks.'+gui_mod)
61 62 return gui, mod.inputhook
@@ -1,108 +1,108 b''
1 1 ================================
2 2 Integrating with GUI event loops
3 3 ================================
4 4
5 5 When the user types ``%gui qt``, IPython integrates itself with the Qt event
6 6 loop, so you can use both a GUI and an interactive prompt together. IPython
7 7 supports a number of common GUI toolkits, but from IPython 3.0, it is possible
8 8 to integrate other event loops without modifying IPython itself.
9 9
10 Supported event loops include ``qt4``, ``qt5``, ``gtk2``, ``gtk3``, ``wx``,
11 ``osx`` and ``tk``. Make sure the event loop you specify matches the GUI
12 toolkit used by your own code.
10 Supported event loops include ``qt4``, ``qt5``, ``gtk2``, ``gtk3``, ``gtk4``,
11 ``wx``, ``osx`` and ``tk``. Make sure the event loop you specify matches the
12 GUI toolkit used by your own code.
13 13
14 14 To make IPython GUI event loop integration occur automatically at every
15 15 startup, set the ``c.InteractiveShellApp.gui`` configuration key in your
16 16 IPython profile (see :ref:`setting_config`).
17 17
18 18 If the event loop you use is supported by IPython, turning on event loop
19 19 integration follows the steps just described whether you use Terminal IPython
20 20 or an IPython kernel.
21 21
22 22 However, the way Terminal IPython handles event loops is very different from
23 23 the way IPython kernel does, so if you need to integrate with a new kind of
24 24 event loop, different steps are needed to integrate with each.
25 25
26 26 Integrating with a new event loop in the terminal
27 27 -------------------------------------------------
28 28
29 29 .. versionchanged:: 5.0
30 30
31 31 There is a new API for event loop integration using prompt_toolkit.
32 32
33 33 In the terminal, IPython uses prompt_toolkit to prompt the user for input.
34 34 prompt_toolkit provides hooks to integrate with an external event loop.
35 35
36 36 To integrate an event loop, define a function which runs the GUI event loop
37 37 until there is input waiting for prompt_toolkit to process. There are two ways
38 38 to detect this condition::
39 39
40 40 # Polling for input.
41 41 def inputhook(context):
42 42 while not context.input_is_ready():
43 43 # Replace this with the appropriate call for the event loop:
44 44 iterate_loop_once()
45 45
46 46 # Using a file descriptor to notify the event loop to stop.
47 47 def inputhook2(context):
48 48 fd = context.fileno()
49 49 # Replace the functions below with those for the event loop.
50 50 add_file_reader(fd, callback=stop_the_loop)
51 51 run_the_loop()
52 52
53 53 Once you have defined this function, register it with IPython:
54 54
55 55 .. currentmodule:: IPython.terminal.pt_inputhooks
56 56
57 57 .. function:: register(name, inputhook)
58 58
59 59 Register the function *inputhook* as the event loop integration for the
60 60 GUI *name*. If ``name='foo'``, then the user can enable this integration
61 61 by running ``%gui foo``.
62 62
63 63
64 64 Integrating with a new event loop in the kernel
65 65 -----------------------------------------------
66 66
67 67 The kernel runs its own event loop, so it's simpler to integrate with others.
68 68 IPython allows the other event loop to take control, but it must call
69 69 :meth:`IPython.kernel.zmq.kernelbase.Kernel.do_one_iteration` periodically.
70 70
71 71 To integrate with this, write a function that takes a single argument,
72 72 the IPython kernel instance, arranges for your event loop to call
73 73 ``kernel.do_one_iteration()`` at least every ``kernel._poll_interval`` seconds,
74 74 and starts the event loop.
75 75
76 76 Decorate this function with :func:`IPython.kernel.zmq.eventloops.register_integration`,
77 77 passing in the names you wish to register it for. Here is a slightly simplified
78 78 version of the Tkinter integration already included in IPython::
79 79
80 80 @register_integration('tk')
81 81 def loop_tk(kernel):
82 82 """Start a kernel with the Tk event loop."""
83 83 from tkinter import Tk
84 84
85 85 # Tk uses milliseconds
86 86 poll_interval = int(1000*kernel._poll_interval)
87 87 # For Tkinter, we create a Tk object and call its withdraw method.
88 88 class Timer(object):
89 89 def __init__(self, func):
90 90 self.app = Tk()
91 91 self.app.withdraw()
92 92 self.func = func
93 93
94 94 def on_timer(self):
95 95 self.func()
96 96 self.app.after(poll_interval, self.on_timer)
97 97
98 98 def start(self):
99 99 self.on_timer() # Call it once to get things going.
100 100 self.app.mainloop()
101 101
102 102 kernel.timer = Timer(kernel.do_one_iteration)
103 103 kernel.timer.start()
104 104
105 105 Some event loops can go one better, and integrate checking for messages on the
106 106 kernel's ZMQ sockets, making the kernel more responsive than plain polling. How
107 107 to do this is outside the scope of this document; if you are interested, look at
108 108 the integration with Qt in :mod:`IPython.kernel.zmq.eventloops`.
@@ -1,1043 +1,1044 b''
1 1 =================
2 2 IPython reference
3 3 =================
4 4
5 5 .. _command_line_options:
6 6
7 7 Command-line usage
8 8 ==================
9 9
10 10 You start IPython with the command::
11 11
12 12 $ ipython [options] files
13 13
14 14 If invoked with no options, it executes the file and exits, passing the
15 15 remaining arguments to the script, just as if you had specified the same
16 16 command with python. You may need to specify `--` before args to be passed
17 17 to the script, to prevent IPython from attempting to parse them.
18 18 If you add the ``-i`` flag, it drops you into the interpreter while still
19 19 acknowledging any options you may have set in your ``ipython_config.py``. This
20 20 behavior is different from standard Python, which when called as python ``-i``
21 21 will only execute one file and ignore your configuration setup.
22 22
23 23 Please note that some of the configuration options are not available at the
24 24 command line, simply because they are not practical here. Look into your
25 25 configuration files for details on those. There are separate configuration files
26 26 for each profile, and the files look like :file:`ipython_config.py` or
27 27 :file:`ipython_config_{frontendname}.py`. Profile directories look like
28 28 :file:`profile_{profilename}` and are typically installed in the
29 29 :envvar:`IPYTHONDIR` directory, which defaults to :file:`$HOME/.ipython`. For
30 30 Windows users, :envvar:`HOME` resolves to :file:`C:\\Users\\{YourUserName}` in
31 31 most instances.
32 32
33 33 Command-line Options
34 34 --------------------
35 35
36 36 To see the options IPython accepts, use ``ipython --help`` (and you probably
37 37 should run the output through a pager such as ``ipython --help | less`` for
38 38 more convenient reading). This shows all the options that have a single-word
39 39 alias to control them, but IPython lets you configure all of its objects from
40 40 the command-line by passing the full class name and a corresponding value; type
41 41 ``ipython --help-all`` to see this full list. For example::
42 42
43 43 $ ipython --help-all
44 44 <...snip...>
45 45 --matplotlib=<CaselessStrEnum> (InteractiveShellApp.matplotlib)
46 46 Default: None
47 Choices: ['auto', 'gtk', 'gtk3', 'inline', 'nbagg', 'notebook', 'osx', 'qt', 'qt4', 'qt5', 'tk', 'wx']
47 Choices: ['auto', 'gtk', 'gtk3', 'gtk4', 'inline', 'nbagg', 'notebook', 'osx', 'qt', 'qt4', 'qt5', 'tk', 'wx']
48 48 Configure matplotlib for interactive use with the default matplotlib
49 49 backend.
50 50 <...snip...>
51 51
52 52
53 53 Indicate that the following::
54 54
55 55 $ ipython --matplotlib qt
56 56
57 57
58 58 is equivalent to::
59 59
60 60 $ ipython --TerminalIPythonApp.matplotlib='qt'
61 61
62 62 Note that in the second form, you *must* use the equal sign, as the expression
63 63 is evaluated as an actual Python assignment. While in the above example the
64 64 short form is more convenient, only the most common options have a short form,
65 65 while any configurable variable in IPython can be set at the command-line by
66 66 using the long form. This long form is the same syntax used in the
67 67 configuration files, if you want to set these options permanently.
68 68
69 69
70 70 Interactive use
71 71 ===============
72 72
73 73 IPython is meant to work as a drop-in replacement for the standard interactive
74 74 interpreter. As such, any code which is valid python should execute normally
75 75 under IPython (cases where this is not true should be reported as bugs). It
76 76 does, however, offer many features which are not available at a standard python
77 77 prompt. What follows is a list of these.
78 78
79 79
80 80 Caution for Windows users
81 81 -------------------------
82 82
83 83 Windows, unfortunately, uses the ``\`` character as a path separator. This is a
84 84 terrible choice, because ``\`` also represents the escape character in most
85 85 modern programming languages, including Python. For this reason, using '/'
86 86 character is recommended if you have problems with ``\``. However, in Windows
87 87 commands '/' flags options, so you can not use it for the root directory. This
88 88 means that paths beginning at the root must be typed in a contrived manner
89 89 like: ``%copy \opt/foo/bar.txt \tmp``
90 90
91 91 .. _magic:
92 92
93 93 Magic command system
94 94 --------------------
95 95
96 96 IPython will treat any line whose first character is a % as a special
97 97 call to a 'magic' function. These allow you to control the behavior of
98 98 IPython itself, plus a lot of system-type features. They are all
99 99 prefixed with a % character, but parameters are given without
100 100 parentheses or quotes.
101 101
102 102 Lines that begin with ``%%`` signal a *cell magic*: they take as arguments not
103 103 only the rest of the current line, but all lines below them as well, in the
104 104 current execution block. Cell magics can in fact make arbitrary modifications
105 105 to the input they receive, which need not even be valid Python code at all.
106 106 They receive the whole block as a single string.
107 107
108 108 As a line magic example, the :magic:`cd` magic works just like the OS command of
109 109 the same name::
110 110
111 111 In [8]: %cd
112 112 /home/fperez
113 113
114 114 The following uses the builtin :magic:`timeit` in cell mode::
115 115
116 116 In [10]: %%timeit x = range(10000)
117 117 ...: min(x)
118 118 ...: max(x)
119 119 ...:
120 120 1000 loops, best of 3: 438 us per loop
121 121
122 122 In this case, ``x = range(10000)`` is called as the line argument, and the
123 123 block with ``min(x)`` and ``max(x)`` is called as the cell body. The
124 124 :magic:`timeit` magic receives both.
125 125
126 126 If you have 'automagic' enabled (as it is by default), you don't need to type in
127 127 the single ``%`` explicitly for line magics; IPython will scan its internal
128 128 list of magic functions and call one if it exists. With automagic on you can
129 129 then just type ``cd mydir`` to go to directory 'mydir'::
130 130
131 131 In [9]: cd mydir
132 132 /home/fperez/mydir
133 133
134 134 Cell magics *always* require an explicit ``%%`` prefix, automagic
135 135 calling only works for line magics.
136 136
137 137 The automagic system has the lowest possible precedence in name searches, so
138 138 you can freely use variables with the same names as magic commands. If a magic
139 139 command is 'shadowed' by a variable, you will need the explicit ``%`` prefix to
140 140 use it:
141 141
142 142 .. sourcecode:: ipython
143 143
144 144 In [1]: cd ipython # %cd is called by automagic
145 145 /home/fperez/ipython
146 146
147 147 In [2]: cd=1 # now cd is just a variable
148 148
149 149 In [3]: cd .. # and doesn't work as a function anymore
150 150 File "<ipython-input-3-9fedb3aff56c>", line 1
151 151 cd ..
152 152 ^
153 153 SyntaxError: invalid syntax
154 154
155 155
156 156 In [4]: %cd .. # but %cd always works
157 157 /home/fperez
158 158
159 159 In [5]: del cd # if you remove the cd variable, automagic works again
160 160
161 161 In [6]: cd ipython
162 162
163 163 /home/fperez/ipython
164 164
165 165 Line magics, if they return a value, can be assigned to a variable using the
166 166 syntax ``l = %sx ls`` (which in this particular case returns the result of `ls`
167 167 as a python list). See :ref:`below <manual_capture>` for more information.
168 168
169 169 Type ``%magic`` for more information, including a list of all available magic
170 170 functions at any time and their docstrings. You can also type
171 171 ``%magic_function_name?`` (see :ref:`below <dynamic_object_info>` for
172 172 information on the '?' system) to get information about any particular magic
173 173 function you are interested in.
174 174
175 175 The API documentation for the :mod:`IPython.core.magic` module contains the full
176 176 docstrings of all currently available magic commands.
177 177
178 178 .. seealso::
179 179
180 180 :doc:`magics`
181 181 A list of the line and cell magics available in IPython by default
182 182
183 183 :ref:`defining_magics`
184 184 How to define and register additional magic functions
185 185
186 186
187 187 Access to the standard Python help
188 188 ----------------------------------
189 189
190 190 Simply type ``help()`` to access Python's standard help system. You can
191 191 also type ``help(object)`` for information about a given object, or
192 192 ``help('keyword')`` for information on a keyword. You may need to configure your
193 193 PYTHONDOCS environment variable for this feature to work correctly.
194 194
195 195 .. _dynamic_object_info:
196 196
197 197 Dynamic object information
198 198 --------------------------
199 199
200 200 Typing ``?word`` or ``word?`` prints detailed information about an object. If
201 201 certain strings in the object are too long (e.g. function signatures) they get
202 202 snipped in the center for brevity. This system gives access variable types and
203 203 values, docstrings, function prototypes and other useful information.
204 204
205 205 If the information will not fit in the terminal, it is displayed in a pager
206 206 (``less`` if available, otherwise a basic internal pager).
207 207
208 208 Typing ``??word`` or ``word??`` gives access to the full information, including
209 209 the source code where possible. Long strings are not snipped.
210 210
211 211 The following magic functions are particularly useful for gathering
212 212 information about your working environment:
213 213
214 214 * :magic:`pdoc` **<object>**: Print (or run through a pager if too long) the
215 215 docstring for an object. If the given object is a class, it will
216 216 print both the class and the constructor docstrings.
217 217 * :magic:`pdef` **<object>**: Print the call signature for any callable
218 218 object. If the object is a class, print the constructor information.
219 219 * :magic:`psource` **<object>**: Print (or run through a pager if too long)
220 220 the source code for an object.
221 221 * :magic:`pfile` **<object>**: Show the entire source file where an object was
222 222 defined via a pager, opening it at the line where the object
223 223 definition begins.
224 224 * :magic:`who`/:magic:`whos`: These functions give information about identifiers
225 225 you have defined interactively (not things you loaded or defined
226 226 in your configuration files). %who just prints a list of
227 227 identifiers and %whos prints a table with some basic details about
228 228 each identifier.
229 229
230 230 The dynamic object information functions (?/??, ``%pdoc``,
231 231 ``%pfile``, ``%pdef``, ``%psource``) work on object attributes, as well as
232 232 directly on variables. For example, after doing ``import os``, you can use
233 233 ``os.path.abspath??``.
234 234
235 235
236 236 Command line completion
237 237 +++++++++++++++++++++++
238 238
239 239 At any time, hitting TAB will complete any available python commands or
240 240 variable names, and show you a list of the possible completions if
241 241 there's no unambiguous one. It will also complete filenames in the
242 242 current directory if no python names match what you've typed so far.
243 243
244 244
245 245 Search command history
246 246 ++++++++++++++++++++++
247 247
248 248 IPython provides two ways for searching through previous input and thus
249 249 reduce the need for repetitive typing:
250 250
251 251 1. Start typing, and then use the up and down arrow keys (or :kbd:`Ctrl-p`
252 252 and :kbd:`Ctrl-n`) to search through only the history items that match
253 253 what you've typed so far.
254 254 2. Hit :kbd:`Ctrl-r`: to open a search prompt. Begin typing and the system
255 255 searches your history for lines that contain what you've typed so
256 256 far, completing as much as it can.
257 257
258 258 IPython will save your input history when it leaves and reload it next
259 259 time you restart it. By default, the history file is named
260 260 :file:`.ipython/profile_{name}/history.sqlite`.
261 261
262 262 Autoindent
263 263 ++++++++++
264 264
265 265 Starting with 5.0, IPython uses `prompt_toolkit` in place of ``readline``,
266 266 it thus can recognize lines ending in ':' and indent the next line,
267 267 while also un-indenting automatically after 'raise' or 'return',
268 268 and support real multi-line editing as well as syntactic coloration
269 269 during edition.
270 270
271 271 This feature does not use the ``readline`` library anymore, so it will
272 272 not honor your :file:`~/.inputrc` configuration (or whatever
273 273 file your :envvar:`INPUTRC` environment variable points to).
274 274
275 275 In particular if you want to change the input mode to ``vi``, you will need to
276 276 set the ``TerminalInteractiveShell.editing_mode`` configuration option of IPython.
277 277
278 278 Session logging and restoring
279 279 -----------------------------
280 280
281 281 You can log all input from a session either by starting IPython with the
282 282 command line switch ``--logfile=foo.py`` (see :ref:`here <command_line_options>`)
283 283 or by activating the logging at any moment with the magic function :magic:`logstart`.
284 284
285 285 Log files can later be reloaded by running them as scripts and IPython
286 286 will attempt to 'replay' the log by executing all the lines in it, thus
287 287 restoring the state of a previous session. This feature is not quite
288 288 perfect, but can still be useful in many cases.
289 289
290 290 The log files can also be used as a way to have a permanent record of
291 291 any code you wrote while experimenting. Log files are regular text files
292 292 which you can later open in your favorite text editor to extract code or
293 293 to 'clean them up' before using them to replay a session.
294 294
295 295 The :magic:`logstart` function for activating logging in mid-session is used as
296 296 follows::
297 297
298 298 %logstart [log_name [log_mode]]
299 299
300 300 If no name is given, it defaults to a file named 'ipython_log.py' in your
301 301 current working directory, in 'rotate' mode (see below).
302 302
303 303 '%logstart name' saves to file 'name' in 'backup' mode. It saves your
304 304 history up to that point and then continues logging.
305 305
306 306 %logstart takes a second optional parameter: logging mode. This can be
307 307 one of (note that the modes are given unquoted):
308 308
309 309 * [over:] overwrite existing log_name.
310 310 * [backup:] rename (if exists) to log_name~ and start log_name.
311 311 * [append:] well, that says it.
312 312 * [rotate:] create rotating logs log_name.1~, log_name.2~, etc.
313 313
314 314 Adding the '-o' flag to '%logstart' magic (as in '%logstart -o [log_name [log_mode]]')
315 315 will also include output from iPython in the log file.
316 316
317 317 The :magic:`logoff` and :magic:`logon` functions allow you to temporarily stop and
318 318 resume logging to a file which had previously been started with
319 319 %logstart. They will fail (with an explanation) if you try to use them
320 320 before logging has been started.
321 321
322 322 .. _system_shell_access:
323 323
324 324 System shell access
325 325 -------------------
326 326
327 327 Any input line beginning with a ``!`` character is passed verbatim (minus
328 328 the ``!``, of course) to the underlying operating system. For example,
329 329 typing ``!ls`` will run 'ls' in the current directory.
330 330
331 331 .. _manual_capture:
332 332
333 333 Manual capture of command output and magic output
334 334 -------------------------------------------------
335 335
336 336 You can assign the result of a system command to a Python variable with the
337 337 syntax ``myfiles = !ls``. Similarly, the result of a magic (as long as it returns
338 338 a value) can be assigned to a variable. For example, the syntax ``myfiles = %sx ls``
339 339 is equivalent to the above system command example (the :magic:`sx` magic runs a shell command
340 340 and captures the output). Each of these gets machine
341 341 readable output from stdout (e.g. without colours), and splits on newlines. To
342 342 explicitly get this sort of output without assigning to a variable, use two
343 343 exclamation marks (``!!ls``) or the :magic:`sx` magic command without an assignment.
344 344 (However, ``!!`` commands cannot be assigned to a variable.)
345 345
346 346 The captured list in this example has some convenience features. ``myfiles.n`` or ``myfiles.s``
347 347 returns a string delimited by newlines or spaces, respectively. ``myfiles.p``
348 348 produces `path objects <http://pypi.python.org/pypi/path.py>`_ from the list items.
349 349 See :ref:`string_lists` for details.
350 350
351 351 IPython also allows you to expand the value of python variables when
352 352 making system calls. Wrap variables or expressions in {braces}::
353 353
354 354 In [1]: pyvar = 'Hello world'
355 355 In [2]: !echo "A python variable: {pyvar}"
356 356 A python variable: Hello world
357 357 In [3]: import math
358 358 In [4]: x = 8
359 359 In [5]: !echo {math.factorial(x)}
360 360 40320
361 361
362 362 For simple cases, you can alternatively prepend $ to a variable name::
363 363
364 364 In [6]: !echo $sys.argv
365 365 [/home/fperez/usr/bin/ipython]
366 366 In [7]: !echo "A system variable: $$HOME" # Use $$ for literal $
367 367 A system variable: /home/fperez
368 368
369 369 Note that `$$` is used to represent a literal `$`.
370 370
371 371 System command aliases
372 372 ----------------------
373 373
374 374 The :magic:`alias` magic function allows you to define magic functions which are in fact
375 375 system shell commands. These aliases can have parameters.
376 376
377 377 ``%alias alias_name cmd`` defines 'alias_name' as an alias for 'cmd'
378 378
379 379 Then, typing ``alias_name params`` will execute the system command 'cmd
380 380 params' (from your underlying operating system).
381 381
382 382 You can also define aliases with parameters using ``%s`` specifiers (one per
383 383 parameter). The following example defines the parts function as an
384 384 alias to the command ``echo first %s second %s`` where each ``%s`` will be
385 385 replaced by a positional parameter to the call to %parts::
386 386
387 387 In [1]: %alias parts echo first %s second %s
388 388 In [2]: parts A B
389 389 first A second B
390 390 In [3]: parts A
391 391 ERROR: Alias <parts> requires 2 arguments, 1 given.
392 392
393 393 If called with no parameters, :magic:`alias` prints the table of currently
394 394 defined aliases.
395 395
396 396 The :magic:`rehashx` magic allows you to load your entire $PATH as
397 397 ipython aliases. See its docstring for further details.
398 398
399 399
400 400 .. _dreload:
401 401
402 402 Recursive reload
403 403 ----------------
404 404
405 405 The :mod:`IPython.lib.deepreload` module allows you to recursively reload a
406 406 module: changes made to any of its dependencies will be reloaded without
407 407 having to exit. To start using it, do::
408 408
409 409 from IPython.lib.deepreload import reload as dreload
410 410
411 411
412 412 Verbose and colored exception traceback printouts
413 413 -------------------------------------------------
414 414
415 415 IPython provides the option to see very detailed exception tracebacks,
416 416 which can be especially useful when debugging large programs. You can
417 417 run any Python file with the %run function to benefit from these
418 418 detailed tracebacks. Furthermore, both normal and verbose tracebacks can
419 419 be colored (if your terminal supports it) which makes them much easier
420 420 to parse visually.
421 421
422 422 See the magic :magic:`xmode` and :magic:`colors` functions for details.
423 423
424 424 These features are basically a terminal version of Ka-Ping Yee's cgitb
425 425 module, now part of the standard Python library.
426 426
427 427
428 428 .. _input_caching:
429 429
430 430 Input caching system
431 431 --------------------
432 432
433 433 IPython offers numbered prompts (In/Out) with input and output caching
434 434 (also referred to as 'input history'). All input is saved and can be
435 435 retrieved as variables (besides the usual arrow key recall), in
436 436 addition to the :magic:`rep` magic command that brings a history entry
437 437 up for editing on the next command line.
438 438
439 439 The following variables always exist:
440 440
441 441 * ``_i``, ``_ii``, ``_iii``: store previous, next previous and next-next
442 442 previous inputs.
443 443
444 444 * ``In``, ``_ih`` : a list of all inputs; ``_ih[n]`` is the input from line
445 445 ``n``. If you overwrite In with a variable of your own, you can remake the
446 446 assignment to the internal list with a simple ``In=_ih``.
447 447
448 448 Additionally, global variables named ``_i<n>`` are dynamically created (``<n>``
449 449 being the prompt counter), so ``_i<n> == _ih[<n>] == In[<n>]``.
450 450
451 451 For example, what you typed at prompt 14 is available as ``_i14``, ``_ih[14]``
452 452 and ``In[14]``.
453 453
454 454 This allows you to easily cut and paste multi line interactive prompts
455 455 by printing them out: they print like a clean string, without prompt
456 456 characters. You can also manipulate them like regular variables (they
457 457 are strings), modify or exec them.
458 458
459 459 You can also re-execute multiple lines of input easily by using the magic
460 460 :magic:`rerun` or :magic:`macro` functions. The macro system also allows you to
461 461 re-execute previous lines which include magic function calls (which require
462 462 special processing). Type %macro? for more details on the macro system.
463 463
464 464 A history function :magic:`history` allows you to see any part of your input
465 465 history by printing a range of the _i variables.
466 466
467 467 You can also search ('grep') through your history by typing
468 468 ``%hist -g somestring``. This is handy for searching for URLs, IP addresses,
469 469 etc. You can bring history entries listed by '%hist -g' up for editing
470 470 with the %recall command, or run them immediately with :magic:`rerun`.
471 471
472 472 .. _output_caching:
473 473
474 474 Output caching system
475 475 ---------------------
476 476
477 477 For output that is returned from actions, a system similar to the input
478 478 cache exists but using _ instead of _i. Only actions that produce a
479 479 result (NOT assignments, for example) are cached. If you are familiar
480 480 with Mathematica, IPython's _ variables behave exactly like
481 481 Mathematica's % variables.
482 482
483 483 The following variables always exist:
484 484
485 485 * [_] (a single underscore): stores previous output, like Python's
486 486 default interpreter.
487 487 * [__] (two underscores): next previous.
488 488 * [___] (three underscores): next-next previous.
489 489
490 490 Additionally, global variables named _<n> are dynamically created (<n>
491 491 being the prompt counter), such that the result of output <n> is always
492 492 available as _<n> (don't use the angle brackets, just the number, e.g.
493 493 ``_21``).
494 494
495 495 These variables are also stored in a global dictionary (not a
496 496 list, since it only has entries for lines which returned a result)
497 497 available under the names _oh and Out (similar to _ih and In). So the
498 498 output from line 12 can be obtained as ``_12``, ``Out[12]`` or ``_oh[12]``. If you
499 499 accidentally overwrite the Out variable you can recover it by typing
500 500 ``Out=_oh`` at the prompt.
501 501
502 502 This system obviously can potentially put heavy memory demands on your
503 503 system, since it prevents Python's garbage collector from removing any
504 504 previously computed results. You can control how many results are kept
505 505 in memory with the configuration option ``InteractiveShell.cache_size``.
506 506 If you set it to 0, output caching is disabled. You can also use the :magic:`reset`
507 507 and :magic:`xdel` magics to clear large items from memory.
508 508
509 509 Directory history
510 510 -----------------
511 511
512 512 Your history of visited directories is kept in the global list _dh, and
513 513 the magic :magic:`cd` command can be used to go to any entry in that list. The
514 514 :magic:`dhist` command allows you to view this history. Do ``cd -<TAB>`` to
515 515 conveniently view the directory history.
516 516
517 517
518 518 Automatic parentheses and quotes
519 519 --------------------------------
520 520
521 521 These features were adapted from Nathan Gray's LazyPython. They are
522 522 meant to allow less typing for common situations.
523 523
524 524 Callable objects (i.e. functions, methods, etc) can be invoked like this
525 525 (notice the commas between the arguments)::
526 526
527 527 In [1]: callable_ob arg1, arg2, arg3
528 528 ------> callable_ob(arg1, arg2, arg3)
529 529
530 530 .. note::
531 531 This feature is disabled by default. To enable it, use the ``%autocall``
532 532 magic command. The commands below with special prefixes will always work,
533 533 however.
534 534
535 535 You can force automatic parentheses by using '/' as the first character
536 536 of a line. For example::
537 537
538 538 In [2]: /globals # becomes 'globals()'
539 539
540 540 Note that the '/' MUST be the first character on the line! This won't work::
541 541
542 542 In [3]: print /globals # syntax error
543 543
544 544 In most cases the automatic algorithm should work, so you should rarely
545 545 need to explicitly invoke /. One notable exception is if you are trying
546 546 to call a function with a list of tuples as arguments (the parenthesis
547 547 will confuse IPython)::
548 548
549 549 In [4]: zip (1,2,3),(4,5,6) # won't work
550 550
551 551 but this will work::
552 552
553 553 In [5]: /zip (1,2,3),(4,5,6)
554 554 ------> zip ((1,2,3),(4,5,6))
555 555 Out[5]: [(1, 4), (2, 5), (3, 6)]
556 556
557 557 IPython tells you that it has altered your command line by displaying
558 558 the new command line preceded by ``--->``.
559 559
560 560 You can force automatic quoting of a function's arguments by using ``,``
561 561 or ``;`` as the first character of a line. For example::
562 562
563 563 In [1]: ,my_function /home/me # becomes my_function("/home/me")
564 564
565 565 If you use ';' the whole argument is quoted as a single string, while ',' splits
566 566 on whitespace::
567 567
568 568 In [2]: ,my_function a b c # becomes my_function("a","b","c")
569 569
570 570 In [3]: ;my_function a b c # becomes my_function("a b c")
571 571
572 572 Note that the ',' or ';' MUST be the first character on the line! This
573 573 won't work::
574 574
575 575 In [4]: x = ,my_function /home/me # syntax error
576 576
577 577 IPython as your default Python environment
578 578 ==========================================
579 579
580 580 Python honors the environment variable :envvar:`PYTHONSTARTUP` and will
581 581 execute at startup the file referenced by this variable. If you put the
582 582 following code at the end of that file, then IPython will be your working
583 583 environment anytime you start Python::
584 584
585 585 import os, IPython
586 586 os.environ['PYTHONSTARTUP'] = '' # Prevent running this again
587 587 IPython.start_ipython()
588 588 raise SystemExit
589 589
590 590 The ``raise SystemExit`` is needed to exit Python when
591 591 it finishes, otherwise you'll be back at the normal Python ``>>>``
592 592 prompt.
593 593
594 594 This is probably useful to developers who manage multiple Python
595 595 versions and don't want to have correspondingly multiple IPython
596 596 versions. Note that in this mode, there is no way to pass IPython any
597 597 command-line options, as those are trapped first by Python itself.
598 598
599 599 .. _Embedding:
600 600
601 601 Embedding IPython
602 602 =================
603 603
604 604 You can start a regular IPython session with
605 605
606 606 .. sourcecode:: python
607 607
608 608 import IPython
609 609 IPython.start_ipython(argv=[])
610 610
611 611 at any point in your program. This will load IPython configuration,
612 612 startup files, and everything, just as if it were a normal IPython session.
613 613 For information on setting configuration options when running IPython from
614 614 python, see :ref:`configure_start_ipython`.
615 615
616 616 It is also possible to embed an IPython shell in a namespace in your Python
617 617 code. This allows you to evaluate dynamically the state of your code, operate
618 618 with your variables, analyze them, etc. For example, if you run the following
619 619 code snippet::
620 620
621 621 import IPython
622 622
623 623 a = 42
624 624 IPython.embed()
625 625
626 626 and within the IPython shell, you reassign `a` to `23` to do further testing of
627 627 some sort, you can then exit::
628 628
629 629 >>> IPython.embed()
630 630 Python 3.6.2 (default, Jul 17 2017, 16:44:45)
631 631 Type 'copyright', 'credits' or 'license' for more information
632 632 IPython 6.2.0.dev -- An enhanced Interactive Python. Type '?' for help.
633 633
634 634 In [1]: a = 23
635 635
636 636 In [2]: exit()
637 637
638 638 Once you exit and print `a`, the value 23 will be shown::
639 639
640 640
641 641 In: print(a)
642 642 23
643 643
644 644 It's important to note that the code run in the embedded IPython shell will
645 645 *not* change the state of your code and variables, **unless** the shell is
646 646 contained within the global namespace. In the above example, `a` is changed
647 647 because this is true.
648 648
649 649 To further exemplify this, consider the following example::
650 650
651 651 import IPython
652 652 def do():
653 653 a = 42
654 654 print(a)
655 655 IPython.embed()
656 656 print(a)
657 657
658 658 Now if call the function and complete the state changes as we did above, the
659 659 value `42` will be printed. Again, this is because it's not in the global
660 660 namespace::
661 661
662 662 do()
663 663
664 664 Running a file with the above code can lead to the following session::
665 665
666 666 >>> do()
667 667 42
668 668 Python 3.6.2 (default, Jul 17 2017, 16:44:45)
669 669 Type 'copyright', 'credits' or 'license' for more information
670 670 IPython 6.2.0.dev -- An enhanced Interactive Python. Type '?' for help.
671 671
672 672 In [1]: a = 23
673 673
674 674 In [2]: exit()
675 675 42
676 676
677 677 .. note::
678 678
679 679 At present, embedding IPython cannot be done from inside IPython.
680 680 Run the code samples below outside IPython.
681 681
682 682 This feature allows you to easily have a fully functional python
683 683 environment for doing object introspection anywhere in your code with a
684 684 simple function call. In some cases a simple print statement is enough,
685 685 but if you need to do more detailed analysis of a code fragment this
686 686 feature can be very valuable.
687 687
688 688 It can also be useful in scientific computing situations where it is
689 689 common to need to do some automatic, computationally intensive part and
690 690 then stop to look at data, plots, etc.
691 691 Opening an IPython instance will give you full access to your data and
692 692 functions, and you can resume program execution once you are done with
693 693 the interactive part (perhaps to stop again later, as many times as
694 694 needed).
695 695
696 696 The following code snippet is the bare minimum you need to include in
697 697 your Python programs for this to work (detailed examples follow later)::
698 698
699 699 from IPython import embed
700 700
701 701 embed() # this call anywhere in your program will start IPython
702 702
703 703 You can also embed an IPython *kernel*, for use with qtconsole, etc. via
704 704 ``IPython.embed_kernel()``. This should work the same way, but you can
705 705 connect an external frontend (``ipython qtconsole`` or ``ipython console``),
706 706 rather than interacting with it in the terminal.
707 707
708 708 You can run embedded instances even in code which is itself being run at
709 709 the IPython interactive prompt with '%run <filename>'. Since it's easy
710 710 to get lost as to where you are (in your top-level IPython or in your
711 711 embedded one), it's a good idea in such cases to set the in/out prompts
712 712 to something different for the embedded instances. The code examples
713 713 below illustrate this.
714 714
715 715 You can also have multiple IPython instances in your program and open
716 716 them separately, for example with different options for data
717 717 presentation. If you close and open the same instance multiple times,
718 718 its prompt counters simply continue from each execution to the next.
719 719
720 720 Please look at the docstrings in the :mod:`~IPython.frontend.terminal.embed`
721 721 module for more details on the use of this system.
722 722
723 723 The following sample file illustrating how to use the embedding
724 724 functionality is provided in the examples directory as embed_class_long.py.
725 725 It should be fairly self-explanatory:
726 726
727 727 .. literalinclude:: ../../../examples/Embedding/embed_class_long.py
728 728 :language: python
729 729
730 730 Once you understand how the system functions, you can use the following
731 731 code fragments in your programs which are ready for cut and paste:
732 732
733 733 .. literalinclude:: ../../../examples/Embedding/embed_class_short.py
734 734 :language: python
735 735
736 736 Using the Python debugger (pdb)
737 737 ===============================
738 738
739 739 Running entire programs via pdb
740 740 -------------------------------
741 741
742 742 pdb, the Python debugger, is a powerful interactive debugger which
743 743 allows you to step through code, set breakpoints, watch variables,
744 744 etc. IPython makes it very easy to start any script under the control
745 745 of pdb, regardless of whether you have wrapped it into a 'main()'
746 746 function or not. For this, simply type ``%run -d myscript`` at an
747 747 IPython prompt. See the :magic:`run` command's documentation for more details, including
748 748 how to control where pdb will stop execution first.
749 749
750 750 For more information on the use of the pdb debugger, see :ref:`debugger-commands`
751 751 in the Python documentation.
752 752
753 753 IPython extends the debugger with a few useful additions, like coloring of
754 754 tracebacks. The debugger will adopt the color scheme selected for IPython.
755 755
756 756 The ``where`` command has also been extended to take as argument the number of
757 757 context line to show. This allows to a many line of context on shallow stack trace:
758 758
759 759 .. code::
760 760
761 761 In [5]: def foo(x):
762 762 ...: 1
763 763 ...: 2
764 764 ...: 3
765 765 ...: return 1/x+foo(x-1)
766 766 ...: 5
767 767 ...: 6
768 768 ...: 7
769 769 ...:
770 770
771 771 In[6]: foo(1)
772 772 # ...
773 773 ipdb> where 8
774 774 <ipython-input-6-9e45007b2b59>(1)<module>
775 775 ----> 1 foo(1)
776 776
777 777 <ipython-input-5-7baadc3d1465>(5)foo()
778 778 1 def foo(x):
779 779 2 1
780 780 3 2
781 781 4 3
782 782 ----> 5 return 1/x+foo(x-1)
783 783 6 5
784 784 7 6
785 785 8 7
786 786
787 787 > <ipython-input-5-7baadc3d1465>(5)foo()
788 788 1 def foo(x):
789 789 2 1
790 790 3 2
791 791 4 3
792 792 ----> 5 return 1/x+foo(x-1)
793 793 6 5
794 794 7 6
795 795 8 7
796 796
797 797
798 798 And less context on shallower Stack Trace:
799 799
800 800 .. code::
801 801
802 802 ipdb> where 1
803 803 <ipython-input-13-afa180a57233>(1)<module>
804 804 ----> 1 foo(7)
805 805
806 806 <ipython-input-5-7baadc3d1465>(5)foo()
807 807 ----> 5 return 1/x+foo(x-1)
808 808
809 809 <ipython-input-5-7baadc3d1465>(5)foo()
810 810 ----> 5 return 1/x+foo(x-1)
811 811
812 812 <ipython-input-5-7baadc3d1465>(5)foo()
813 813 ----> 5 return 1/x+foo(x-1)
814 814
815 815 <ipython-input-5-7baadc3d1465>(5)foo()
816 816 ----> 5 return 1/x+foo(x-1)
817 817
818 818
819 819 Post-mortem debugging
820 820 ---------------------
821 821
822 822 Going into a debugger when an exception occurs can be
823 823 extremely useful in order to find the origin of subtle bugs, because pdb
824 824 opens up at the point in your code which triggered the exception, and
825 825 while your program is at this point 'dead', all the data is still
826 826 available and you can walk up and down the stack frame and understand
827 827 the origin of the problem.
828 828
829 829 You can use the :magic:`debug` magic after an exception has occurred to start
830 830 post-mortem debugging. IPython can also call debugger every time your code
831 831 triggers an uncaught exception. This feature can be toggled with the :magic:`pdb` magic
832 832 command, or you can start IPython with the ``--pdb`` option.
833 833
834 834 For a post-mortem debugger in your programs outside IPython,
835 835 put the following lines toward the top of your 'main' routine::
836 836
837 837 import sys
838 838 from IPython.core import ultratb
839 839 sys.excepthook = ultratb.FormattedTB(mode='Verbose',
840 840 color_scheme='Linux', call_pdb=1)
841 841
842 842 The mode keyword can be either 'Verbose' or 'Plain', giving either very
843 843 detailed or normal tracebacks respectively. The color_scheme keyword can
844 844 be one of 'NoColor', 'Linux' (default) or 'LightBG'. These are the same
845 845 options which can be set in IPython with ``--colors`` and ``--xmode``.
846 846
847 847 This will give any of your programs detailed, colored tracebacks with
848 848 automatic invocation of pdb.
849 849
850 850 .. _pasting_with_prompts:
851 851
852 852 Pasting of code starting with Python or IPython prompts
853 853 =======================================================
854 854
855 855 IPython is smart enough to filter out input prompts, be they plain Python ones
856 856 (``>>>`` and ``...``) or IPython ones (``In [N]:`` and ``...:``). You can
857 857 therefore copy and paste from existing interactive sessions without worry.
858 858
859 859 The following is a 'screenshot' of how things work, copying an example from the
860 860 standard Python tutorial::
861 861
862 862 In [1]: >>> # Fibonacci series:
863 863
864 864 In [2]: ... # the sum of two elements defines the next
865 865
866 866 In [3]: ... a, b = 0, 1
867 867
868 868 In [4]: >>> while b < 10:
869 869 ...: ... print(b)
870 870 ...: ... a, b = b, a+b
871 871 ...:
872 872 1
873 873 1
874 874 2
875 875 3
876 876 5
877 877 8
878 878
879 879 And pasting from IPython sessions works equally well::
880 880
881 881 In [1]: In [5]: def f(x):
882 882 ...: ...: "A simple function"
883 883 ...: ...: return x**2
884 884 ...: ...:
885 885
886 886 In [2]: f(3)
887 887 Out[2]: 9
888 888
889 889 .. _gui_support:
890 890
891 891 GUI event loop support
892 892 ======================
893 893
894 894 IPython has excellent support for working interactively with Graphical User
895 895 Interface (GUI) toolkits, such as wxPython, PyQt4/PySide, PyGTK and Tk. This is
896 896 implemented by running the toolkit's event loop while IPython is waiting for
897 897 input.
898 898
899 899 For users, enabling GUI event loop integration is simple. You simple use the
900 900 :magic:`gui` magic as follows::
901 901
902 902 %gui [GUINAME]
903 903
904 904 With no arguments, ``%gui`` removes all GUI support. Valid ``GUINAME``
905 arguments include ``wx``, ``qt``, ``qt5``, ``gtk``, ``gtk3`` and ``tk``.
905 arguments include ``wx``, ``qt``, ``qt5``, ``gtk``, ``gtk3`` ``gtk4``, and
906 ``tk``.
906 907
907 908 Thus, to use wxPython interactively and create a running :class:`wx.App`
908 909 object, do::
909 910
910 911 %gui wx
911 912
912 913 You can also start IPython with an event loop set up using the `--gui`
913 914 flag::
914 915
915 916 $ ipython --gui=qt
916 917
917 918 For information on IPython's matplotlib_ integration (and the ``matplotlib``
918 919 mode) see :ref:`this section <matplotlib_support>`.
919 920
920 921 For developers that want to integrate additional event loops with IPython, see
921 922 :doc:`/config/eventloops`.
922 923
923 924 When running inside IPython with an integrated event loop, a GUI application
924 925 should *not* start its own event loop. This means that applications that are
925 926 meant to be used both
926 927 in IPython and as standalone apps need to have special code to detects how the
927 928 application is being run. We highly recommend using IPython's support for this.
928 929 Since the details vary slightly between toolkits, we point you to the various
929 930 examples in our source directory :file:`examples/IPython Kernel/gui/` that
930 931 demonstrate these capabilities.
931 932
932 933 PyQt and PySide
933 934 ---------------
934 935
935 936 .. attempt at explanation of the complete mess that is Qt support
936 937
937 938 When you use ``--gui=qt`` or ``--matplotlib=qt``, IPython can work with either
938 939 PyQt4 or PySide. There are three options for configuration here, because
939 940 PyQt4 has two APIs for QString and QVariant: v1, which is the default on
940 941 Python 2, and the more natural v2, which is the only API supported by PySide.
941 942 v2 is also the default for PyQt4 on Python 3. IPython's code for the QtConsole
942 943 uses v2, but you can still use any interface in your code, since the
943 944 Qt frontend is in a different process.
944 945
945 946 The default will be to import PyQt4 without configuration of the APIs, thus
946 947 matching what most applications would expect. It will fall back to PySide if
947 948 PyQt4 is unavailable.
948 949
949 950 If specified, IPython will respect the environment variable ``QT_API`` used
950 951 by ETS. ETS 4.0 also works with both PyQt4 and PySide, but it requires
951 952 PyQt4 to use its v2 API. So if ``QT_API=pyside`` PySide will be used,
952 953 and if ``QT_API=pyqt`` then PyQt4 will be used *with the v2 API* for
953 954 QString and QVariant, so ETS codes like MayaVi will also work with IPython.
954 955
955 956 If you launch IPython in matplotlib mode with ``ipython --matplotlib=qt``,
956 957 then IPython will ask matplotlib which Qt library to use (only if QT_API is
957 958 *not set*), via the 'backend.qt4' rcParam. If matplotlib is version 1.0.1 or
958 959 older, then IPython will always use PyQt4 without setting the v2 APIs, since
959 960 neither v2 PyQt nor PySide work.
960 961
961 962 .. warning::
962 963
963 964 Note that this means for ETS 4 to work with PyQt4, ``QT_API`` *must* be set
964 965 to work with IPython's qt integration, because otherwise PyQt4 will be
965 966 loaded in an incompatible mode.
966 967
967 968 It also means that you must *not* have ``QT_API`` set if you want to
968 969 use ``--gui=qt`` with code that requires PyQt4 API v1.
969 970
970 971
971 972 .. _matplotlib_support:
972 973
973 974 Plotting with matplotlib
974 975 ========================
975 976
976 977 matplotlib_ provides high quality 2D and 3D plotting for Python. matplotlib_
977 978 can produce plots on screen using a variety of GUI toolkits, including Tk,
978 979 PyGTK, PyQt4 and wxPython. It also provides a number of commands useful for
979 980 scientific computing, all with a syntax compatible with that of the popular
980 981 Matlab program.
981 982
982 983 To start IPython with matplotlib support, use the ``--matplotlib`` switch. If
983 984 IPython is already running, you can run the :magic:`matplotlib` magic. If no
984 985 arguments are given, IPython will automatically detect your choice of
985 986 matplotlib backend. You can also request a specific backend with
986 987 ``%matplotlib backend``, where ``backend`` must be one of: 'tk', 'qt', 'wx',
987 988 'gtk', 'osx'. In the web notebook and Qt console, 'inline' is also a valid
988 989 backend value, which produces static figures inlined inside the application
989 990 window instead of matplotlib's interactive figures that live in separate
990 991 windows.
991 992
992 993 .. _interactive_demos:
993 994
994 995 Interactive demos with IPython
995 996 ==============================
996 997
997 998 IPython ships with a basic system for running scripts interactively in
998 999 sections, useful when presenting code to audiences. A few tags embedded
999 1000 in comments (so that the script remains valid Python code) divide a file
1000 1001 into separate blocks, and the demo can be run one block at a time, with
1001 1002 IPython printing (with syntax highlighting) the block before executing
1002 1003 it, and returning to the interactive prompt after each block. The
1003 1004 interactive namespace is updated after each block is run with the
1004 1005 contents of the demo's namespace.
1005 1006
1006 1007 This allows you to show a piece of code, run it and then execute
1007 1008 interactively commands based on the variables just created. Once you
1008 1009 want to continue, you simply execute the next block of the demo. The
1009 1010 following listing shows the markup necessary for dividing a script into
1010 1011 sections for execution as a demo:
1011 1012
1012 1013 .. literalinclude:: ../../../examples/IPython Kernel/example-demo.py
1013 1014 :language: python
1014 1015
1015 1016 In order to run a file as a demo, you must first make a Demo object out
1016 1017 of it. If the file is named myscript.py, the following code will make a
1017 1018 demo::
1018 1019
1019 1020 from IPython.lib.demo import Demo
1020 1021
1021 1022 mydemo = Demo('myscript.py')
1022 1023
1023 1024 This creates the mydemo object, whose blocks you run one at a time by
1024 1025 simply calling the object with no arguments. Then call it to run each step
1025 1026 of the demo::
1026 1027
1027 1028 mydemo()
1028 1029
1029 1030 Demo objects can be
1030 1031 restarted, you can move forward or back skipping blocks, re-execute the
1031 1032 last block, etc. See the :mod:`IPython.lib.demo` module and the
1032 1033 :class:`~IPython.lib.demo.Demo` class for details.
1033 1034
1034 1035 Limitations: These demos are limited to
1035 1036 fairly simple uses. In particular, you cannot break up sections within
1036 1037 indented code (loops, if statements, function definitions, etc.)
1037 1038 Supporting something like this would basically require tracking the
1038 1039 internal execution state of the Python interpreter, so only top-level
1039 1040 divisions are allowed. If you want to be able to open an IPython
1040 1041 instance at an arbitrary point in a program, you can use IPython's
1041 1042 :ref:`embedding facilities <Embedding>`.
1042 1043
1043 1044 .. include:: ../links.txt
@@ -1,199 +1,201 b''
1 1 {
2 2 "cells": [
3 3 {
4 4 "cell_type": "markdown",
5 5 "metadata": {},
6 6 "source": [
7 7 "<img src=\"../images/ipython_logo.png\">"
8 8 ]
9 9 },
10 10 {
11 11 "cell_type": "markdown",
12 12 "metadata": {},
13 13 "source": [
14 14 "Back to the main [Index](../Index.ipynb)"
15 15 ]
16 16 },
17 17 {
18 18 "cell_type": "markdown",
19 19 "metadata": {},
20 20 "source": [
21 21 "# IPython Kernel"
22 22 ]
23 23 },
24 24 {
25 25 "cell_type": "markdown",
26 26 "metadata": {},
27 27 "source": [
28 28 "IPython provides extensions to the Python programming language that make working interactively convenient and efficient. These extensions are implemented in the IPython Kernel and are available in all of the IPython Frontends (Notebook, Terminal, Console and Qt Console) when running this kernel."
29 29 ]
30 30 },
31 31 {
32 32 "cell_type": "markdown",
33 33 "metadata": {},
34 34 "source": [
35 35 "## Tutorials"
36 36 ]
37 37 },
38 38 {
39 39 "cell_type": "markdown",
40 40 "metadata": {},
41 41 "source": [
42 42 "* [Cell Magics](Cell Magics.ipynb)\n",
43 43 "* [Script Magics](Script Magics.ipynb)\n",
44 44 "* [Rich Output](Rich Output.ipynb)\n",
45 45 "* [Custom Display Logic](Custom Display Logic.ipynb)\n",
46 46 "* [Plotting in the Notebook](Plotting in the Notebook.ipynb)\n",
47 47 "* [Capturing Output](Capturing Output.ipynb)"
48 48 ]
49 49 },
50 50 {
51 51 "cell_type": "markdown",
52 52 "metadata": {},
53 53 "source": [
54 54 "## Examples"
55 55 ]
56 56 },
57 57 {
58 58 "cell_type": "markdown",
59 59 "metadata": {},
60 60 "source": [
61 61 "* [Background Jobs](Background Jobs.ipynb)\n",
62 62 "* [Trapezoid Rule](Trapezoid Rule.ipynb)\n",
63 63 "* [SymPy](SymPy.ipynb)\n",
64 64 "* [Raw Input in the Notebook](Raw Input in the Notebook.ipynb)\n",
65 65 "* [Importing Notebooks](Importing Notebooks.ipynb)"
66 66 ]
67 67 },
68 68 {
69 69 "cell_type": "markdown",
70 70 "metadata": {},
71 71 "source": [
72 72 "## Non-notebook examples"
73 73 ]
74 74 },
75 75 {
76 76 "cell_type": "markdown",
77 77 "metadata": {},
78 78 "source": [
79 79 "This directory also contains examples that are regular Python (`.py`) files."
80 80 ]
81 81 },
82 82 {
83 83 "cell_type": "code",
84 84 "execution_count": 1,
85 85 "metadata": {
86 86 "collapsed": false
87 87 },
88 88 "outputs": [
89 89 {
90 90 "data": {
91 91 "text/html": [
92 92 "<a href='example-demo.py' target='_blank'>example-demo.py</a><br>"
93 93 ],
94 94 "text/plain": [
95 95 "/Users/minrk/dev/ip/mine/examples/IPython Kernel/example-demo.py"
96 96 ]
97 97 },
98 98 "metadata": {},
99 99 "output_type": "display_data"
100 100 },
101 101 {
102 102 "data": {
103 103 "text/html": [
104 104 "<a href='ipython-get-history.py' target='_blank'>ipython-get-history.py</a><br>"
105 105 ],
106 106 "text/plain": [
107 107 "/Users/minrk/dev/ip/mine/examples/IPython Kernel/ipython-get-history.py"
108 108 ]
109 109 },
110 110 "metadata": {},
111 111 "output_type": "display_data"
112 112 }
113 113 ],
114 114 "source": [
115 115 "%run ../utils/list_pyfiles.ipy"
116 116 ]
117 117 },
118 118 {
119 119 "cell_type": "markdown",
120 120 "metadata": {},
121 121 "source": [
122 122 "There are also a set of examples that show how to integrate IPython with different GUI event loops:"
123 123 ]
124 124 },
125 125 {
126 126 "cell_type": "code",
127 127 "execution_count": 2,
128 128 "metadata": {
129 129 "collapsed": false
130 130 },
131 131 "outputs": [
132 132 {
133 133 "data": {
134 134 "text/html": [
135 135 "data/<br>\n",
136 136 "&nbsp;&nbsp;<a href='data/flare.json' target='_blank'>flare.json</a><br>"
137 137 ],
138 138 "text/plain": [
139 139 "data/\n",
140 140 " flare.json"
141 141 ]
142 142 },
143 143 "metadata": {},
144 144 "output_type": "display_data"
145 145 },
146 146 {
147 147 "data": {
148 148 "text/html": [
149 149 "gui/<br>\n",
150 150 "&nbsp;&nbsp;<a href='gui/gui-glut.py' target='_blank'>gui-glut.py</a><br>\n",
151 151 "&nbsp;&nbsp;<a href='gui/gui-gtk.py' target='_blank'>gui-gtk.py</a><br>\n",
152 152 "&nbsp;&nbsp;<a href='gui/gui-gtk3.py' target='_blank'>gui-gtk3.py</a><br>\n",
153 "&nbsp;&nbsp;<a href='gui/gui-gtk4.py' target='_blank'>gui-gtk4.py</a><br>\n",
153 154 "&nbsp;&nbsp;<a href='gui/gui-pyglet.py' target='_blank'>gui-pyglet.py</a><br>\n",
154 155 "&nbsp;&nbsp;<a href='gui/gui-qt.py' target='_blank'>gui-qt.py</a><br>\n",
155 156 "&nbsp;&nbsp;<a href='gui/gui-tk.py' target='_blank'>gui-tk.py</a><br>\n",
156 157 "&nbsp;&nbsp;<a href='gui/gui-wx.py' target='_blank'>gui-wx.py</a><br>"
157 158 ],
158 159 "text/plain": [
159 160 "gui/\n",
160 161 " gui-glut.py\n",
161 162 " gui-gtk.py\n",
162 163 " gui-gtk3.py\n",
164 " gui-gtk4.py\n",
163 165 " gui-pyglet.py\n",
164 166 " gui-qt.py\n",
165 167 " gui-tk.py\n",
166 168 " gui-wx.py"
167 169 ]
168 170 },
169 171 "metadata": {},
170 172 "output_type": "display_data"
171 173 }
172 174 ],
173 175 "source": [
174 176 "%run ../utils/list_subdirs.ipy"
175 177 ]
176 178 }
177 179 ],
178 180 "metadata": {
179 181 "kernelspec": {
180 182 "display_name": "Python 3",
181 183 "language": "python",
182 184 "name": "python3"
183 185 },
184 186 "language_info": {
185 187 "codemirror_mode": {
186 188 "name": "ipython",
187 189 "version": 3
188 190 },
189 191 "file_extension": ".py",
190 192 "mimetype": "text/x-python",
191 193 "name": "python",
192 194 "nbconvert_exporter": "python",
193 195 "pygments_lexer": "ipython3",
194 196 "version": "3.4.3"
195 197 }
196 198 },
197 199 "nbformat": 4,
198 200 "nbformat_minor": 0
199 201 }
@@ -1,3311 +1,3313 b''
1 1 {
2 2 "cells": [
3 3 {
4 4 "cell_type": "markdown",
5 5 "metadata": {},
6 6 "source": [
7 7 "# Rich Output"
8 8 ]
9 9 },
10 10 {
11 11 "cell_type": "markdown",
12 12 "metadata": {},
13 13 "source": [
14 14 "In Python, objects can declare their textual representation using the `__repr__` method. IPython expands on this idea and allows objects to declare other, rich representations including:\n",
15 15 "\n",
16 16 "* HTML\n",
17 17 "* JSON\n",
18 18 "* PNG\n",
19 19 "* JPEG\n",
20 20 "* SVG\n",
21 21 "* LaTeX\n",
22 22 "\n",
23 23 "A single object can declare some or all of these representations; all are handled by IPython's *display system*. This Notebook shows how you can use this display system to incorporate a broad range of content into your Notebooks."
24 24 ]
25 25 },
26 26 {
27 27 "cell_type": "markdown",
28 28 "metadata": {},
29 29 "source": [
30 30 "## Basic display imports"
31 31 ]
32 32 },
33 33 {
34 34 "cell_type": "markdown",
35 35 "metadata": {},
36 36 "source": [
37 37 "The `display` function is a general purpose tool for displaying different representations of objects. Think of it as `print` for these rich representations."
38 38 ]
39 39 },
40 40 {
41 41 "cell_type": "code",
42 42 "execution_count": 1,
43 43 "metadata": {
44 44 "collapsed": false
45 45 },
46 46 "outputs": [],
47 47 "source": [
48 48 "from IPython.display import display"
49 49 ]
50 50 },
51 51 {
52 52 "cell_type": "markdown",
53 53 "metadata": {},
54 54 "source": [
55 55 "A few points:\n",
56 56 "\n",
57 57 "* Calling `display` on an object will send **all** possible representations to the Notebook.\n",
58 58 "* These representations are stored in the Notebook document.\n",
59 59 "* In general the Notebook will use the richest available representation.\n",
60 60 "\n",
61 61 "If you want to display a particular representation, there are specific functions for that:"
62 62 ]
63 63 },
64 64 {
65 65 "cell_type": "code",
66 66 "execution_count": 2,
67 67 "metadata": {
68 68 "collapsed": false
69 69 },
70 70 "outputs": [],
71 71 "source": [
72 72 "from IPython.display import (\n",
73 73 " display_pretty, display_html, display_jpeg,\n",
74 74 " display_png, display_json, display_latex, display_svg\n",
75 75 ")"
76 76 ]
77 77 },
78 78 {
79 79 "cell_type": "markdown",
80 80 "metadata": {},
81 81 "source": [
82 82 "## Images"
83 83 ]
84 84 },
85 85 {
86 86 "cell_type": "markdown",
87 87 "metadata": {},
88 88 "source": [
89 89 "To work with images (JPEG, PNG) use the `Image` class."
90 90 ]
91 91 },
92 92 {
93 93 "cell_type": "code",
94 94 "execution_count": 3,
95 95 "metadata": {
96 96 "collapsed": false
97 97 },
98 98 "outputs": [],
99 99 "source": [
100 100 "from IPython.display import Image"
101 101 ]
102 102 },
103 103 {
104 104 "cell_type": "code",
105 105 "execution_count": 4,
106 106 "metadata": {
107 107 "collapsed": false
108 108 },
109 109 "outputs": [],
110 110 "source": [
111 111 "i = Image(filename='../images/ipython_logo.png')"
112 112 ]
113 113 },
114 114 {
115 115 "cell_type": "markdown",
116 116 "metadata": {},
117 117 "source": [
118 118 "Returning an `Image` object from an expression will automatically display it:"
119 119 ]
120 120 },
121 121 {
122 122 "cell_type": "code",
123 123 "execution_count": 5,
124 124 "metadata": {
125 125 "collapsed": false
126 126 },
127 127 "outputs": [
128 128 {
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293 293 ],
294 294 "text/plain": [
295 295 "<IPython.core.display.Image object>"
296 296 ]
297 297 },
298 298 "execution_count": 5,
299 299 "metadata": {},
300 300 "output_type": "execute_result"
301 301 }
302 302 ],
303 303 "source": [
304 304 "i"
305 305 ]
306 306 },
307 307 {
308 308 "cell_type": "markdown",
309 309 "metadata": {},
310 310 "source": [
311 311 "Or you can pass an object with a rich representation to `display`:"
312 312 ]
313 313 },
314 314 {
315 315 "cell_type": "code",
316 316 "execution_count": 6,
317 317 "metadata": {
318 318 "collapsed": false
319 319 },
320 320 "outputs": [
321 321 {
322 322 "data": {
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486 486 ],
487 487 "text/plain": [
488 488 "<IPython.core.display.Image object>"
489 489 ]
490 490 },
491 491 "metadata": {},
492 492 "output_type": "display_data"
493 493 }
494 494 ],
495 495 "source": [
496 496 "display(i)"
497 497 ]
498 498 },
499 499 {
500 500 "cell_type": "markdown",
501 501 "metadata": {},
502 502 "source": [
503 503 "An image can also be displayed from raw data or a URL."
504 504 ]
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610 610 "text/plain": [
611 611 "<IPython.core.display.SVG object>"
612 612 ]
613 613 },
614 614 "execution_count": 8,
615 615 "metadata": {},
616 616 "output_type": "execute_result"
617 617 }
618 618 ],
619 619 "source": [
620 620 "from IPython.display import SVG\n",
621 621 "SVG(filename='../images/python_logo.svg')"
622 622 ]
623 623 },
624 624 {
625 625 "cell_type": "markdown",
626 626 "metadata": {},
627 627 "source": [
628 628 "### Embedded vs non-embedded Images"
629 629 ]
630 630 },
631 631 {
632 632 "cell_type": "markdown",
633 633 "metadata": {},
634 634 "source": [
635 635 "By default, image data is embedded in the notebook document so that the images can be viewed offline. However it is also possible to tell the `Image` class to only store a *link* to the image. Let's see how this works using a webcam at Berkeley."
636 636 ]
637 637 },
638 638 {
639 639 "cell_type": "code",
640 640 "execution_count": 9,
641 641 "metadata": {
642 642 "collapsed": false
643 643 },
644 644 "outputs": [],
645 645 "source": [
646 646 "from IPython.display import Image\n",
647 647 "img_url = 'http://www.lawrencehallofscience.org/static/scienceview/scienceview.berkeley.edu/html/view/view_assets/images/newview.jpg'\n",
648 648 "\n",
649 649 "# by default Image data are embedded\n",
650 650 "Embed = Image(img_url)\n",
651 651 "\n",
652 652 "# if kwarg `url` is given, the embedding is assumed to be false\n",
653 653 "SoftLinked = Image(url=img_url)\n",
654 654 "\n",
655 655 "# In each case, embed can be specified explicitly with the `embed` kwarg\n",
656 656 "# ForceEmbed = Image(url=img_url, embed=True)"
657 657 ]
658 658 },
659 659 {
660 660 "cell_type": "markdown",
661 661 "metadata": {},
662 662 "source": [
663 663 "Here is the embedded version. Note that this image was pulled from the webcam when this code cell was originally run and stored in the Notebook. Unless we rerun this cell, this is not today's image."
664 664 ]
665 665 },
666 666 {
667 667 "cell_type": "code",
668 668 "execution_count": 10,
669 669 "metadata": {
670 670 "collapsed": false
671 671 },
672 672 "outputs": [
673 673 {
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980 980 "Oe1RxNfUIk0xtp9NVH08k4K4o4jWQD92knhaMaSzfyYpcLB5aOjRIwQpIz8Z5qwqAV0pnlCZpraF\n",
981 981 "sNIAfiqrTwSEgKSR2x71E5pdm+LFOf4RBkmDAnAX6irSzR42iTvWUcqezqn47joGRvMZQrekVgYQ\n",
982 982 "uN2D9afPdjWLSRfR9+MBSKcqknGzjHfNbKVnK41olY0dsA5OcYo/3e0gwkf9KwyZ8cdNnTi8bLKm\n",
983 983 "kKOnshw6Y/EVsbLT92DtFeb5M048kev4kJKXGR0ul6eFKhl/KtzLp6onmIhBx7CvFlK2ezFUii8E\n",
984 984 "5UExtg1rbuG6VsNHtB96uDVkSTKTR3G3G40poJ2PLn8K6YzivYwlCTDjiZeDzTTBIRlUY1Ep27Lh\n",
985 985 "ClQ63s5WG4g1ehs2UZc8VjKRqlRjqgbC96WyE+1ShiJYM9jikrAVPqq0yWiXj4pQX1cimmJoMwxn\n",
986 986 "+UVrdQsY8+YqgnueK6PGyvFkTOfycSy43EobUA5iyPwpsRtnIUAA/BFfQYvJhk0fN5vEyY1Y77PH\n",
987 987 "/cX9KwW6f3B+ldNo49mfZ0I+4P0rDaQkYMan8qNfA7a6I+w257xL+lA2l2bHJgXP4UuMfganL5J+\n",
988 988 "wWy8eSv6Ut9NtZBhoV4+lDjFoanJbskaZZ9/IXj6UwWFqP8AkqPypKMfgHOT9wv3fangwL+lEtlb\n",
989 989 "jtEv6U+MfgXOXuwjYwPw0YrF023J/wCGBRSDkxi2cIwAopn2dOwUYp3RL2CbZD/IP0qRbR/3B+lP\n",
990 990 "kKghCo7KKzyR7CjkLiZ5QqPL5p2OjPK+lZ5dCYuJPl1gj96OQ6J8vmsEX0o5C4hiIVnl0cg4kiP6\n",
991 991 "UQiFHIOIXl0Jjz7UuQ6FNDj270Ple2KLHRgtz8VD24YYxSuxpFV7PBPpqtLZbx2qHs0TEjTwv8tE\n",
992 992 "tgMZ20kkPkZ+7wRjZSH0hBzihxBSoFNMUNytNGnKO60kiZSOSM6DEm71DnvRz67MyYEhX5xXHiyv\n",
993 993 "dnflwRlRVN8SQ4ctn55rZWN7AF3PwcZwayyybR0YYKLLC6hFN6Xi2g+9KRAZigb6j8KnE3GVGmVX\n",
994 994 "GzC3lE85rEnViQT+tbytGEaY60uFjmAaTCHvmtlNqNvHGfKO4sMCt4zqNs5cuLlkSQzTbiMYZ+5r\n",
995 995 "eQzoFzkV4Odtuz6HAlGKMluLeRcE0dheR2x9IB54zWdycOJpUVPkjoLDW4klyYwBjjPNdGNX0/y0\n",
996 996 "MkyneOwrjlGmdUZaF3up6dBbttIZ2GFA9q5G5vJ5sBpCQOcVWNfJM2CkwxllBqzC1q+S4C1bsSGC\n",
997 997 "3tt25SpoxtTj+lQ22PoMTLEuSoIqpcXbl8KePihLYNiVlIPPvVqEqxyabAc1sHGQaXLaYGFNSpDo\n",
998 998 "pyROmQRVdyPwrRMhi/MxxmkyuGFWuyZdFOQKeRWvvF9BIH6V14nTOTIrQeizs0rxSOeRkAnityIx\n",
999 999 "Xu4p8opnznkY+E2kTs+lZtFaWY0QVAG4kAD3rE2SKGjYMD2IosVexhjofK+lHIfEwx1ITjtRyDiT\n",
1000 1000 "sogvHfvRyDiQXCyBCjds5A4p4TPaiw4sny6zyz2o5D4meX9KnZz2osOJOzio8v5pcg4k+XUeXT5B\n",
1001 1001 "xM8v6Vnl/SjkLiT5XFZ5VHIfEkR1nlfSjkFBhM+1Z5X0osOJIjxUhPpRyDiTsqPLpWHEgx5qBFRY\n",
1002 1002 "cSfKrPKyO1HIfEA24PcUJtFPtS5BQDWnB4oVteO1OxtGfZPpWG19PajkKhf2MZzisa2+lFktHmSa\n",
1003 1003 "XcOuFBJIqneaZe27bJInAxnI7Vw8aPSjlUnTFWsTs3l85Jq6sE6HaUPHNQ02bqaQwyMi4bimQXN1\n",
1004 1004 "vBSLORShGnbHOXJUMJuAwLqxzyaaAqjMiYz901vdmCVdAyrEGwDuPemrG2AQOKylL2N4R92WYZvL\n",
1005 1005 "YAGtta3O8YdzXBlR3YnaCknXdtU5FQLrZ2OaxrRrZbt9QOR6sVfXUcLw2RWU47Noy0OjvllIyacf\n",
1006 1006 "LYZzWfRotgk7aJShH3sGgKM84oc7s/FSbtyd27mlQIP7UZFwxodwJzS6GYXAHNQs5jPDcUdgWY9S\n",
1007 1007 "IG0tThfq3uKlxHyAeZXPPatdckIxIPFXEllN5x881XebOcGtooxkyvI7HtVO4mdBhxxW8OzGRrrm\n",
1008 1008 "6XaSp2n2IrX/ANttb04kER3CL7OOf1Fer4kkrTPK8vFzprs1+rdfX2px7Ime1zwVVuP1rVr1TqaQ\n",
1009 1009 "C3+3TFFPALdq71JLSOH0FWyxN1fqlzZpZtfShRkMQeWBrZdKdWfuedkui8tvIMEA/dPzTu9C9JKP\n",
1010 1010 "5nfab1Lo+qzPBa3HqQBvVxkH4rbbB3rGVx7ISswxCpEdTyGkT5Q9xRLCPijkOifJ5xjg0SxkADHF\n",
1011 1011 "HIKC8vPFYUNHIKMCVmz6UcgoLZ9KgpS5BRmypCU+QUYI6ny6OQUT5f0rPL+lHIKMEdTso5BROypC\n",
1012 1012 "fSjkFGbPipCUWFGbPas8ujkFGeXUiP6UcgokRc9qzy6XIKM8v4FT5X0o5BRnkZ7ihNvznFHIdGfZ\n",
1013 1013 "8DtUGAn2pcw4sz7JIVL+WSo7nHApTwY9qXqJ6QPG0to5n7JHj0qFJ+lQbRWUqyqwPzWd2Skaa40L\n",
1014 1014 "ZN5sSADvkDsa2NrYo0KqyqTjvikbuVxQm/0OGRAypgg+1HDpUJi8sQjcBwSKF+ZXN1ofDp4jG2aF\n",
1015 1015 "XqtqOlvMMW8eB8YrKSadnTiknoonp+9P/Dj+tHDpV+MpJAc+31rCU0dcYt9EPp19GMy27jHGSKZH\n",
1016 1016 "DKgIKkEVlJpm0Vx7DCOeSpxWC3kYZTNZFhR20xOOxp4S4QYwTUyotBJcTREek5FW4tUcHDjGazlG\n",
1017 1017 "zSMmhsl7kAqakXnsTUUVyM+1A/zVAucHhqKCxyXi9jTo7uM8E4/GpcSlIKSeM/zDNLEoI+9SoGxb\n",
1018 1018 "zr3BoDeFP5qtIV0SuqAHBaiOo27DD85o4N9E80U7qSInMLcfFV3k4BPGa1ijOTJaRdmVYfhmqNzO\n",
1019 1019 "siFWxkVpDszkc5fzNEx54rQXVwCxz2r0cLo4chpLneJTsHBpR8xTzXYpHK4krIc4q1DOAvJp8ia0\n",
1020 1020 "GLye3YTQyFT8g10eneJGsW0cVtLOCI12AkZ4reNTVM58kN2jpv8AxMRbeJvJR2x6z9a2f/iDoxsR\n",
1021 1021 "dRZaU4zETg/XmoeH4M1Jrs3+ka5petQiWxuVY4BZCcMufkVtUTjtXPJOLpmkakrQYQfFZ5YqbKoz\n",
1022 1022 "y8HtUBM8kYo5BRnl4rAlHIKJ2Vnl/NHIVGbKzy6LHRISpEdHIVE7KzZT5BRmz6Vmz6UcgozZxUha\n",
1023 1023 "XIOJISnLZTsARGQD81nkzRxq5GuLBPM6ih40qYrkkCgfT5EHLLn4Ncy86LdUdj+zZpXYkwMpIxnF\n",
1024 1024 "FHAXOO1dDzRceSOX7vLnwZYFgDkBuaP91uVBVhn3rm++pdo7P/j+X4WTHpT7x5jDHuBW1t9NtkXc\n",
1025 1025 "EGfk1zeT5jkqh0dPi+Csbue2Nk021mTGxQfc4pTdP2rjCMyn8c1zw8vJj0dOTwsWXbQsdNoW4mOB\n",
1026 1026 "3GK2Fp0/a5JKDA+avL5s8ipaIw+BjxO3s2aaZBFHsVEH5Vppun4Hnkll8oKewArnhmnjbaZ05MEM\n",
1027 1027 "iUWujzOK1ExwOPqTUvaGPnvj3Fex94V0fPLw5cbASAswG3NOlsRCBIijB7gDtUvP9SNo+L/43fYn\n",
1028 1028 "yGY5HIIo0tiOD3rdzOVY9llbB2AJA/GmrZMMHAJrml5EZKmduPxZQakWFiKj1RinpEhHMan8RXFN\n",
1029 1029 "np4x5hWdDG8SEfhVK50C0JDhMZ71nGbi9GjgpLZWbQ4l5jQED6Vn9nVlXdkIfireQhYypLod1FL9\n",
1030 1030 "3cB8UttPkU8Rnj5o5KSBRcWA9uQfVAD+VJlsTIDttyPwFTTTK7KzaZc87A2P8qU9jdR+zZq0yGis\n",
1031 1031 "6Xa/8t8fhS/PlHGCTVUSZ9sZO+aJdVjAy5xS4WHKg11eAjPmYxQvrUSjiUUekx+ohH77gzgygZ+t\n",
1032 1032 "Lk1iDBxKp/On6bJ9RGvm12NWOHzj61C6/Ge71ooNGbmmWY9VVwCHxTW1D04J4p8Q5FKfVUQZD/1r\n",
1033 1033 "VSdRwlisjjI4rWMDOUxE17FeqUU544PxWkuIbgeojIrox/SYzXI1t2ZFByDkVVFxOy42Ej5rri1R\n",
1034 1034 "yS0xYuGQkEHn5pgvcCroi6HRXKyAgmnQ7GdTt5zxmri6Jey69g7sAAV3c4HOauW1kwUxuBg9ufen\n",
1035 1035 "6tIPSt2dN03p2p6NdR3kRAH8y57iu7t9buHUksASe3xXLlzKbtGi8dx7Lceub22OAv1HtW2sZxcR\n",
1036 1036 "AkgsPvYqE7jZEocXRZ25qCtTyDiRj/CakL9KOQcSQPms2CjkHEjZ9KB4mY8MRQpBxARZ0O1l3D5z\n",
1037 1037 "TwuRnGKfJBxDCcc1mzHFLkHEzYKjYKOQcTNvyKzbntQ5fA1HexsCopDsM49q2lvdx7QHHNeVncpP\n",
1038 1038 "Z7njqMV9KL0O2QcYKn6Uu6tocZZQfw71yW0zsq0UmtI2XKHgGsW0Q/cPOPat45WtGEsUZDXtXjRR\n",
1039 1039 "jknuTV+2tFVRkf1rOeTl0XDGohSBVBwO1KjvAsnkXETAtkKR71mlZb0WofIjOwsQe/J71bR4lGCV\n",
1040 1040 "wffNJlKjGbeyiIY9qXKxVseYePrxSGEktx5eJEJU8jHcfjVaaQkEbqCWeXjZjCFjRrJEvBDCu7bP\n",
1041 1041 "OXHsfG0Z7EVbDRyoFAy3aodmqpqit9ieLJdhg88Vd03S4rtHMkgUg4UZxW0/Iah9JjDxU5/UXF0O\n",
1042 1042 "duEuECHgAnkUo6S0JZd7bh7g8VzrP+R0+h+YyGxJPrcmr0NjF+NZzyW9GuPHxQ77HEvbg/SsFqvd\n",
1043 1043 "iMfWs7NaMktIyvBAJ7VrZlYMVYdvinFiaFE7e+SKjMLd8D8RV/oToVJHGeQtJO0HBNUmSzN0Q9hS\n",
1044 1044 "38lh90GmGmQqxgbdi/pS/sNmW3eSgOc5xStoKTIbTrJuTAh/9tIk0XTZDua1TP4VUZtCcE/YU2ga\n",
1045 1045 "Y3e1jx+FV7npnSWjKrbgfga2jlZjLEqOZ1Po+xAYxTSKT25rUJ0c7kiOWRyfpXoY5LjbODJFqVIN\n",
1046 1046 "fD7UHlBViFz71vLTw6TysTSt5hHfFTkywXRUMWR9ibnoG6iIaK5kUjgDbkGkTdDaw0atHdZz3G3t\n",
1047 1047 "WSywas09KfRo77ojqMMVVGcZ71Sl8PNemc7IiCBklq2jkhXZk4T+A5Ojep7KEv5Knb7A5zWuk6a6\n",
1048 1048 "olzKsLE+49/0rSMod2ZyU+ivN0v1AyebJYu2PvcUj+zWqxpufT5duc5CnitYyj8mcot+xYg6Qu75\n",
1049 1049 "SIUbPfDDFWx4d3iIrzLgfzEcgVqsiiZODaKN50zJaoWSBmCnDMAeKtaP0rdX04VAxXGc47Grc41Z\n",
1050 1050 "Ci7Omtei77crOSBjg96vr0jcwDIj3gjO6uWeVdI6YQl7otQaVqYxGsTYHari6ZqFrIpmiJBGe1c/\n",
1051 1051 "KKdWbuMnG0jYSWZa33rHh8U3RriS3VtxNaKRzSg32W7jqK6ilFvDZh2Y8HNW7fUL9nJltfRx34Iq\n",
1052 1052 "qjXZm1JOjZBgQD80YGay5FcWTj2NZiiw4mBakr8Ucg4kAfFYcLyxxRYUYHBHpIOKqTXk8MvqXMZP\n",
1053 1053 "sOaaa9w42UL6/uYyr2z5Gcke9MstfgmYRyja2O5+adpor02X0vonYopAYfJrEvrcuY5GAxxn2rny\n",
1054 1054 "ZHVROnF46u5l22uLbeI1AZiPbmrT3CWw37VA+tefNyb2epBRitFduppUlGyIMAMbabNrcVxtZYyp\n",
1055 1055 "7nmh4q2Cy3oxL6NvVvwD3FFDqscEwwNyg/nip4t6HyXY6bUIpphLBkLjAU+xp1xqEiWwUHEj8ZBq\n",
1056 1056 "K2kXy9zWRSzPIVZ9rE471caRoZFEsytKgwNvOR9at/kSgoJWeRTLMCRzmr4mjzwcg++aiX5DRaFw\n",
1057 1057 "baIsGyPn3psDJcqHXa4yDx3qCy2bgYCHg1XkiV+AASaBnlxuoWO2FS/1ANLLrna2EJ9sV1q0cGns\n",
1058 1058 "xgiDdtP6USXG3+8AKq7HVB/ahjmQ/rRpdqO0hzU02UmWI9TlTGyT+lPTUJTy0hP51m4I0UmWorxz\n",
1059 1059 "93FPW5c/z1m0aJjUuD3LkUQnUDO7NQWhou1YDOOKrzbGy4xQDKMw3DII4pMZBYg+3zVpk0RJheQ1\n",
1060 1060 "VXfnJNaR2Q9CnfPalbnHtVpE2EHkPYUxDKaTSKTJZpB78fhUGV8dqFFMltoW0pB70ieWUj0kVrGK\n",
1061 1061 "M5S1o5/Uftxc4GfwpOm63qujSbzYLcRE8ow/1FelGGPJj4N0ebKeTHPmlZdl67aa4y+mG1jOPUoJ\n",
1062 1062 "xV+117LFrSaKcnvkkn9Kzl4axxq7XyXHzHN30/gtHXrxRmW2jIPbisGvTycC2X8ga5/u0O0zf7zP\n",
1063 1063 "poW+qzHvan8hUpqybCHtHBPvin6KrTD1nf1IH7acZaFh+VYLsd1tXJ7fdo9P8w9T8hZv2Y7TZt8E\n",
1064 1064 "YrHuEK7WsB9QVyKpY6/5E+o5dxBCWrj06fGD9KbFYlshYVRT7E1XPitslQU9pDG0mB12ypGynvxV\n",
1065 1065 "mz0q1gOY41XPBwKynmbVI1jhVm1gsIsbyi5+KCW3jUn0cH4rl9RtnXwSRZsoIsYKD6cU2fyWOxot\n",
1066 1066 "xXjO2ocnyKSXEqmxsZMlzsP41QfTreJ9yMCR7g10Y80ujnyYY9iZbG3lIbdtZTwcVbhEu4R+SHB7\n",
1067 1067 "sK29S1syWL4R1FnpdjNapG77tpyT8VF5ptq2TDEBgYyBivP9aSZ3LFCqo0GoW8sZBiPHwecVUzIv\n",
1068 1068 "DPt/Cu6GZOP5nFk8dcrJWQdhIwP41jSezOT+Jp+oxelEs24hlXIQEj60UuexjUCsXkldWbLFGtIr\n",
1069 1069 "zBsZRRj6Ujz2RtsmT+NNTbVWHppbK1wQTvRFAFam/tzN6ovQ4rbFOmZZYJoG3e7G0sTuXgfWtsjT\n",
1070 1070 "TxBzsyOCo71WVx7JxJ9D4DNbnzADk/DVN1d3E6B9xGPY1zacrOjaVFBLq4VuVJ+uKsx3UrcBMflW\n",
1071 1071 "kkjNNjC82M5OfY1KTTbhk/lUaL2XIruOLBlfGf6UybUkfAjf8DmsXG2aKSRWj1JS7LK2APn5q5DP\n",
1072 1072 "GzB2nPfnBzRJUKMkywbiG2B/jDkk5NDDqcRfiQsp/pUU2jRtIcdUWIjfIdg571esdZaPLbgVP+VZ\n",
1073 1073 "uNDUjYnUoZAJVIyRyKAa0sRKHHHes6ZpZ53HeDAC7UB9wad51oq+Z5gLY4JNbu10c8aatipNStsf\n",
1074 1074 "xXRMnGc0K6pY7tnnxsfcZqlCTQucE+xd9exIykBBn5OKo3V/dbw/lgRfOORW2OPVmWSXdDTcSCIS\n",
1075 1075 "RYIxzzTrbUmniwJkBBx35quKasFJp0WYbxky32oKo7nPFFca8lpB57XKSZ7KO5qPT5uqNPU4K2yL\n",
1076 1076 "PqeO5YI4KMewJzV8Xavg+b/Ws54njdFwyqasE6mEbCy5qDrCj70lT6dlc0AdYizw2PrSH1UclMNV\n",
1077 1077 "RxEvIhDarI/G2hOoknlMmtVjRm8lhLfykYCqPyovtDnv/lQ0kCbYxZmH3Wpq3bjgkfpWbo1QQvDj\n",
1078 1078 "kCoM6t2AFKgexEiqckMQaTmQHBCkVtGVmUotdEFVbugzSJLdW7KK1jKjKUU0VZ7X04MQIrX+RFvy\n",
1079 1079 "IgGHY+9dWPI60zlnjVltWkKgM5bHyaZukUEq5Xj5qXJdDUQYbqYkgyNx75ovtrZ9TZqXG3opSrsw\n",
1080 1080 "anEW2EkmiTVVU5yOah42WsiDbXLRO/3j7YoTq8TtkduxqViktst5YvohNXWF8gBgT29xW7stTtZk\n",
1081 1081 "3P6PxpZYOrQ8U1dMi61G0XBjkDj/AA80+21SxZAzqQfes3jk4miyRUqL9rf2sjbvN2qPmthJ9j8r\n",
1082 1082 "e0igHHOa5ZKSZ0RlFoyJIlKkSAA9ue9UtW1WO0KopWRz3we1EIucqCTUY2a2HUEndhLnPtRl0Odp\n",
1083 1083 "5+K3a4ujFNSRivHjLOFP1pxkNuqvG2T7gGk2+mUkvYfaa55MpG78RmtweoLeSIIxUfX3rHJjaZrC\n",
1084 1084 "aZpL29WV2KsCK1txert3H2rXGmZzZTGpws2CcUua+eMAqM55rp4b2cznrREOp5OVfaffBq/BqErA\n",
1085 1085 "CSTcKU4V2VjnY43IIJWQqKpXExZsmc5+KyiqfRpJ6KM11tOWkNVmvMnJauqMdHNOXsEl9ngdqsQX\n",
1086 1086 "wjO4Hn8aJQFGZsE1KNlxvFKmvUJ+8K5lBpnS5poyK7jzzirTzDAYYFEk0wi00bC0MV7Bl4guz09+\n",
1087 1087 "9JuLaBDlCQfxrBScZUbUnGzXXC+YCGYke2a173QtMjcD+ddUFy0ck9OytcazAybt4GDgc1XTqKRH\n",
1088 1088 "CrMPzNbrDapmLy+6Cu+pQG23B4zyQ1OtOpbeR9qOFX25pPx3Wg9fezbW+sQzZPn8L3+tPh1i3ztS\n",
1089 1089 "Zc/Q1yyxP4OhZUPj1qQAosqhscc1RfqmTzHjuAY3UcZPD/hURw2ypZnFHmM3UE8ow10dvwOKQnVH\n",
1090 1090 "2YGNb+NcjlS9ehGCqkjz3Jp3Yk9WwyKd2oRkA7SN9YnU9mSFF7Hn29Yya1WP4RPNfI2fqmABRNfK\n",
1091 1091 "Mdiz0X9tYwNp1SPHblxQsVrofqV7jB1pHGgP7wTb2+/xQp1dbO29L6Lce/rFUsNbSF6l+5ZTqpXX\n",
1092 1092 "Yt1Fg+ysOTRHWVf70g/I0cEiuVjk1lCwcPgjsQa2A6nkUACQMfxrKWNS7NIzaWhh6ocvlWUfSjXW\n",
1093 1093 "zJltwB781HopF+rY46vEACwQk+4NRHqiJuPnZB9jS9P2HzQUOpxcpLMeexHtTlnQkNHdggnjNQ4t\n",
1094 1094 "exSkn7hSX81uRuKsv0NDDrUwb18qT+lCxKSsHkcXRa/fkSgnOcUS65A+Mgj8ayeBmvrroYdUt8ZM\n",
1095 1095 "mPrQjVrTP/GpejJj9WK7Hrf28gysv6GgGp2G7DXIB+tJY5+yG8kfcel1akApKpz9aySeMLu3A/nS\n",
1096 1096 "XJOmNtNaKzXgCnGMfWqbtvJZRiumC49nNN30JNwUP3wKxLhtxLcqe5+K1pMzsi5uBDxHsOfg1r3a\n",
1097 1097 "dx5rOoX3Ge1Xj1tmc96QayleVVTx3zQG6DEhgVNXSeyNoZAIHcCRSwP1pgtDNdssTrCn17VlKVdm\n",
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1870 1870 "T0WulOlzreqypd3QgFunmnABy24DHJA967mCwi0J2VU+2KxCFTEr8HBztDYx9eazllXLgaRwtY/U\n",
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1881 1881 "PpxxCjyKcuLtnW63+0T1dpvTNtZ6TfeVO7eXKs9vHInloq4O0grkkkYxjC/NeMazrWpa3qVxr+pl\n",
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1885 1885 "mNnAxgA/NCaSGbm00W12hriNwccgHv8AjSbvpq0DeZZ4z/dL/wC9ZrNsTXwTpg1nRHaew822eRGi\n",
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1909 1909 "vJHxVY3WhWUbtdPvI0ikfYqjO5FAx/T3qu2mI0geznjkixgk8Y+ldA++jU3yz210I5E27jkH2I/2\n",
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1911 1911 "70tZcHO0cjPzQkFCxM2SQAfpio8x8EsvB4FUAjB/lIIq9ZKbgpCgwQMk/wC9KXQGzjjAY2kihh33\n",
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1913 1913 "Qc/pRpOmJsXfWd9DCszKCrHHfJFUA5SQqSPgkc1pBqS0Ls32k6hdwx+XBcSJHIQGKk+kA5yOa6S0\n",
1914 1914 "u76W3jFvLdTs02PRCJOdoAz+fNNb0VBtG86jh/dXTUM1xdRzXMhMDKsUZ28knJGcY47e9Jj16ye0\n",
1915 1915 "sLlEhecbGuFMaAZXIAB754J+nFKl0VzdnLJcyQyvKqqGLZwVz/Q0GqaxqeqXP2i/vpJ2wACzZwB2\n",
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1918 1918 "ieVqU0+Hgk06FllA43FlTJP40ubW0WpKWml/U8O6+6m1DqrqvUtd1W4Se7u7h3lkWNUDnOMhV4Hb\n",
1919 1919 "2rkpZyzgdyD+n0qo7M5O2ej+E3V3T+i6g9v1NbXj2lwrEtbIjMCDkH1DtjcD+I+K3vT3X/RDa0k3\n",
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1921 1921 "5XisrZfuqC3Ix8VN+5T0bXTeo20vQn01LLffCRpEmVhtAOOSMcnvzn4GK0razrE8r3txqtyJ29LH\n",
1922 1922 "zCDgdhx7c9qXK9kXSpFUXDOTIzvnkn6/jSJZYlGRtznPfFCW9AvkdviSaKVwThQwCnGe4/0qncXT\n",
1923 1923 "EJBEQqEchT7/AB9aaWyjEto125Zsk/kBVyO4dT5LHcu30t74+KUtgLYMHL7gv51jHIG5Qw7mktgR\n",
1924 1924 "M/lDYSWH8rD/ACpFqUspzNIWAPOMcHjt/WnegYm/aFpmkgyqn+UntSIrhgogX3PIJ96F0B0+h6zL\n",
1925 1925 "p9mYoroW7tOk+eQ+V7Mp+mff8vek33UF7dOrvcTSrwFZiRwAB+HAAou9CRj3/mW8e04AJCE9+Tk0\n",
1926 1926 "d3FDHaWt3DcGUSL/ABAUx5b5+7/nzTTsZo5rkvlsjIOMk0cVxHJGxfuCME9qdaF7lqHUWiUwQzSC\n",
1927 1927 "LPIAwWq1JcpZ2mxJQ0kpMmcA4H49/wAqloZrmuI97SE4PxjvVN5QkhYsTk5wDQkIsrMNucYb498f\n",
1928 1928 "FLdJH9QO4ZJJpVsQJMsQ9Q/DBpKy7iwbIB+R2qh9GvwpZkGcgnGaIM2AVbnPqqiUPLhUXng80ksR\n",
1929 1929 "6iMg/FR2IBiFXd3ogVIIBpjHRM0mRkHjt+FTLIww204J7+1TWwQnzJGPckfU/SrVu7BwCCcHIHtQ\n",
1930 1930 "0NG/t7dxAsqjd343Yx+VC10QeXJPwOwrGUbY5JoF7qXPDAD3qtdagVQEnGz6ZJohHaM0a5NTdSzX\n",
1931 1931 "CtJu7Ak4FXNO1mJB5cabQTyMZrdqkXZvEtNOvl3yKhJHAYZ/T3Fa+56blHrtCHHPGcGsI5a1Imxf\n",
1932 1932 "9nL0KpIUO3aPPP8AtSbnSNRjAjFm5LfH/SuhNMLKElu0J2OmzaOQRVGQQYztOaaGLjj3tgZ79qXl\n",
1933 1933 "RIY3bgfFO9gT5kYBCkVhKoAxfcfYD2o2Ah5A8igLj+8KuWhxK0hUqWHpwaH0Bt7W4hJB8wYAzgji\n",
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1937 1937 "yB+FUnQGPcqjIIwME8596TI/DSBgDjGB7VJIDXszW627OSincF3cDPB/yp9rcRxIUy25uVIOAOf6\n",
1938 1938 "8VS+C0wZ5oFkaTazt8k9j+FVSqSkGNQBn1GqiIbLOFlVowQuNoA9hR+cN4X5PuM4qqHZZtr1lQhD\n",
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2019 2019 "3A7VAkMp2kf14FLsXuEQqZPmBTjjNVxJEjLIGMmDyB7/AEqoqx0gr3UJJ1SCORl29wTjj2qDcNGv\n",
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2216 2216 ],
2217 2217 "text/plain": [
2218 2218 "<IPython.core.display.Image object>"
2219 2219 ]
2220 2220 },
2221 2221 "execution_count": 10,
2222 2222 "metadata": {},
2223 2223 "output_type": "execute_result"
2224 2224 }
2225 2225 ],
2226 2226 "source": [
2227 2227 "Embed"
2228 2228 ]
2229 2229 },
2230 2230 {
2231 2231 "cell_type": "markdown",
2232 2232 "metadata": {},
2233 2233 "source": [
2234 2234 "Here is today's image from same webcam at Berkeley, (refreshed every minutes, if you reload the notebook), visible only with an active internet connection, that should be different from the previous one. Notebooks saved with this kind of image will be smaller and always reflect the current version of the source, but the image won't display offline."
2235 2235 ]
2236 2236 },
2237 2237 {
2238 2238 "cell_type": "code",
2239 2239 "execution_count": 11,
2240 2240 "metadata": {
2241 2241 "collapsed": false
2242 2242 },
2243 2243 "outputs": [
2244 2244 {
2245 2245 "data": {
2246 2246 "text/html": [
2247 2247 "<img src=\"http://www.lawrencehallofscience.org/static/scienceview/scienceview.berkeley.edu/html/view/view_assets/images/newview.jpg\"/>"
2248 2248 ],
2249 2249 "text/plain": [
2250 2250 "<IPython.core.display.Image object>"
2251 2251 ]
2252 2252 },
2253 2253 "execution_count": 11,
2254 2254 "metadata": {},
2255 2255 "output_type": "execute_result"
2256 2256 }
2257 2257 ],
2258 2258 "source": [
2259 2259 "SoftLinked"
2260 2260 ]
2261 2261 },
2262 2262 {
2263 2263 "cell_type": "markdown",
2264 2264 "metadata": {},
2265 2265 "source": [
2266 2266 "Of course, if you re-run this Notebook, the two images will be the same again."
2267 2267 ]
2268 2268 },
2269 2269 {
2270 2270 "cell_type": "markdown",
2271 2271 "metadata": {},
2272 2272 "source": [
2273 2273 "## HTML"
2274 2274 ]
2275 2275 },
2276 2276 {
2277 2277 "cell_type": "markdown",
2278 2278 "metadata": {},
2279 2279 "source": [
2280 2280 "Python objects can declare HTML representations that will be displayed in the Notebook. If you have some HTML you want to display, simply use the `HTML` class."
2281 2281 ]
2282 2282 },
2283 2283 {
2284 2284 "cell_type": "code",
2285 2285 "execution_count": 12,
2286 2286 "metadata": {
2287 2287 "collapsed": false
2288 2288 },
2289 2289 "outputs": [],
2290 2290 "source": [
2291 2291 "from IPython.display import HTML"
2292 2292 ]
2293 2293 },
2294 2294 {
2295 2295 "cell_type": "code",
2296 2296 "execution_count": 13,
2297 2297 "metadata": {
2298 2298 "collapsed": false
2299 2299 },
2300 2300 "outputs": [],
2301 2301 "source": [
2302 2302 "s = \"\"\"<table>\n",
2303 2303 "<tr>\n",
2304 2304 "<th>Header 1</th>\n",
2305 2305 "<th>Header 2</th>\n",
2306 2306 "</tr>\n",
2307 2307 "<tr>\n",
2308 2308 "<td>row 1, cell 1</td>\n",
2309 2309 "<td>row 1, cell 2</td>\n",
2310 2310 "</tr>\n",
2311 2311 "<tr>\n",
2312 2312 "<td>row 2, cell 1</td>\n",
2313 2313 "<td>row 2, cell 2</td>\n",
2314 2314 "</tr>\n",
2315 2315 "</table>\"\"\""
2316 2316 ]
2317 2317 },
2318 2318 {
2319 2319 "cell_type": "code",
2320 2320 "execution_count": 14,
2321 2321 "metadata": {
2322 2322 "collapsed": false
2323 2323 },
2324 2324 "outputs": [],
2325 2325 "source": [
2326 2326 "h = HTML(s)"
2327 2327 ]
2328 2328 },
2329 2329 {
2330 2330 "cell_type": "code",
2331 2331 "execution_count": 15,
2332 2332 "metadata": {
2333 2333 "collapsed": false
2334 2334 },
2335 2335 "outputs": [
2336 2336 {
2337 2337 "data": {
2338 2338 "text/html": [
2339 2339 "<table>\n",
2340 2340 "<tr>\n",
2341 2341 "<th>Header 1</th>\n",
2342 2342 "<th>Header 2</th>\n",
2343 2343 "</tr>\n",
2344 2344 "<tr>\n",
2345 2345 "<td>row 1, cell 1</td>\n",
2346 2346 "<td>row 1, cell 2</td>\n",
2347 2347 "</tr>\n",
2348 2348 "<tr>\n",
2349 2349 "<td>row 2, cell 1</td>\n",
2350 2350 "<td>row 2, cell 2</td>\n",
2351 2351 "</tr>\n",
2352 2352 "</table>"
2353 2353 ],
2354 2354 "text/plain": [
2355 2355 "<IPython.core.display.HTML object>"
2356 2356 ]
2357 2357 },
2358 2358 "metadata": {},
2359 2359 "output_type": "display_data"
2360 2360 }
2361 2361 ],
2362 2362 "source": [
2363 2363 "display(h)"
2364 2364 ]
2365 2365 },
2366 2366 {
2367 2367 "cell_type": "markdown",
2368 2368 "metadata": {},
2369 2369 "source": [
2370 2370 "You can also use the `%%html` cell magic to accomplish the same thing."
2371 2371 ]
2372 2372 },
2373 2373 {
2374 2374 "cell_type": "code",
2375 2375 "execution_count": 16,
2376 2376 "metadata": {
2377 2377 "collapsed": false
2378 2378 },
2379 2379 "outputs": [
2380 2380 {
2381 2381 "data": {
2382 2382 "text/html": [
2383 2383 "<table>\n",
2384 2384 "<tr>\n",
2385 2385 "<th>Header 1</th>\n",
2386 2386 "<th>Header 2</th>\n",
2387 2387 "</tr>\n",
2388 2388 "<tr>\n",
2389 2389 "<td>row 1, cell 1</td>\n",
2390 2390 "<td>row 1, cell 2</td>\n",
2391 2391 "</tr>\n",
2392 2392 "<tr>\n",
2393 2393 "<td>row 2, cell 1</td>\n",
2394 2394 "<td>row 2, cell 2</td>\n",
2395 2395 "</tr>\n",
2396 2396 "</table>"
2397 2397 ],
2398 2398 "text/plain": [
2399 2399 "<IPython.core.display.HTML object>"
2400 2400 ]
2401 2401 },
2402 2402 "metadata": {},
2403 2403 "output_type": "display_data"
2404 2404 }
2405 2405 ],
2406 2406 "source": [
2407 2407 "%%html\n",
2408 2408 "<table>\n",
2409 2409 "<tr>\n",
2410 2410 "<th>Header 1</th>\n",
2411 2411 "<th>Header 2</th>\n",
2412 2412 "</tr>\n",
2413 2413 "<tr>\n",
2414 2414 "<td>row 1, cell 1</td>\n",
2415 2415 "<td>row 1, cell 2</td>\n",
2416 2416 "</tr>\n",
2417 2417 "<tr>\n",
2418 2418 "<td>row 2, cell 1</td>\n",
2419 2419 "<td>row 2, cell 2</td>\n",
2420 2420 "</tr>\n",
2421 2421 "</table>"
2422 2422 ]
2423 2423 },
2424 2424 {
2425 2425 "cell_type": "markdown",
2426 2426 "metadata": {},
2427 2427 "source": [
2428 2428 "## JavaScript"
2429 2429 ]
2430 2430 },
2431 2431 {
2432 2432 "cell_type": "markdown",
2433 2433 "metadata": {},
2434 2434 "source": [
2435 2435 "The Notebook also enables objects to declare a JavaScript representation. At first, this may seem odd as output is inherently visual and JavaScript is a programming language. However, this opens the door for rich output that leverages the full power of JavaScript and associated libraries such as [d3.js](http://d3js.org) for output."
2436 2436 ]
2437 2437 },
2438 2438 {
2439 2439 "cell_type": "code",
2440 2440 "execution_count": 17,
2441 2441 "metadata": {
2442 2442 "collapsed": false
2443 2443 },
2444 2444 "outputs": [],
2445 2445 "source": [
2446 2446 "from IPython.display import Javascript"
2447 2447 ]
2448 2448 },
2449 2449 {
2450 2450 "cell_type": "markdown",
2451 2451 "metadata": {},
2452 2452 "source": [
2453 2453 "Pass a string of JavaScript source code to the `JavaScript` object and then display it."
2454 2454 ]
2455 2455 },
2456 2456 {
2457 2457 "cell_type": "code",
2458 2458 "execution_count": 18,
2459 2459 "metadata": {
2460 2460 "collapsed": false
2461 2461 },
2462 2462 "outputs": [],
2463 2463 "source": [
2464 2464 "js = Javascript('alert(\"hi\")');"
2465 2465 ]
2466 2466 },
2467 2467 {
2468 2468 "cell_type": "code",
2469 2469 "execution_count": 19,
2470 2470 "metadata": {
2471 2471 "collapsed": false
2472 2472 },
2473 2473 "outputs": [
2474 2474 {
2475 2475 "data": {
2476 2476 "application/javascript": [
2477 2477 "alert(\"hi\")"
2478 2478 ],
2479 2479 "text/plain": [
2480 2480 "<IPython.core.display.Javascript object>"
2481 2481 ]
2482 2482 },
2483 2483 "metadata": {},
2484 2484 "output_type": "display_data"
2485 2485 }
2486 2486 ],
2487 2487 "source": [
2488 2488 "display(js)"
2489 2489 ]
2490 2490 },
2491 2491 {
2492 2492 "cell_type": "markdown",
2493 2493 "metadata": {},
2494 2494 "source": [
2495 2495 "The same thing can be accomplished using the `%%javascript` cell magic:"
2496 2496 ]
2497 2497 },
2498 2498 {
2499 2499 "cell_type": "code",
2500 2500 "execution_count": 20,
2501 2501 "metadata": {
2502 2502 "collapsed": false
2503 2503 },
2504 2504 "outputs": [
2505 2505 {
2506 2506 "data": {
2507 2507 "application/javascript": [
2508 2508 "\n",
2509 2509 "alert(\"hi\");"
2510 2510 ],
2511 2511 "text/plain": [
2512 2512 "<IPython.core.display.Javascript object>"
2513 2513 ]
2514 2514 },
2515 2515 "metadata": {},
2516 2516 "output_type": "display_data"
2517 2517 }
2518 2518 ],
2519 2519 "source": [
2520 2520 "%%javascript\n",
2521 2521 "\n",
2522 2522 "alert(\"hi\");"
2523 2523 ]
2524 2524 },
2525 2525 {
2526 2526 "cell_type": "markdown",
2527 2527 "metadata": {},
2528 2528 "source": [
2529 2529 "Here is a more complicated example that loads `d3.js` from a CDN, uses the `%%html` magic to load CSS styles onto the page and then runs ones of the `d3.js` examples."
2530 2530 ]
2531 2531 },
2532 2532 {
2533 2533 "cell_type": "code",
2534 2534 "execution_count": 21,
2535 2535 "metadata": {
2536 2536 "collapsed": false
2537 2537 },
2538 2538 "outputs": [
2539 2539 {
2540 2540 "data": {
2541 2541 "application/javascript": [
2542 2542 "$.getScript('//cdnjs.cloudflare.com/ajax/libs/d3/3.2.2/d3.v3.min.js')"
2543 2543 ],
2544 2544 "text/plain": [
2545 2545 "<IPython.core.display.Javascript object>"
2546 2546 ]
2547 2547 },
2548 2548 "execution_count": 21,
2549 2549 "metadata": {},
2550 2550 "output_type": "execute_result"
2551 2551 }
2552 2552 ],
2553 2553 "source": [
2554 2554 "Javascript(\n",
2555 2555 " \"\"\"$.getScript('//cdnjs.cloudflare.com/ajax/libs/d3/3.2.2/d3.v3.min.js')\"\"\"\n",
2556 2556 ")"
2557 2557 ]
2558 2558 },
2559 2559 {
2560 2560 "cell_type": "code",
2561 2561 "execution_count": 22,
2562 2562 "metadata": {
2563 2563 "collapsed": false
2564 2564 },
2565 2565 "outputs": [
2566 2566 {
2567 2567 "data": {
2568 2568 "text/html": [
2569 2569 "<style type=\"text/css\">\n",
2570 2570 "\n",
2571 2571 "circle {\n",
2572 2572 " fill: rgb(31, 119, 180);\n",
2573 2573 " fill-opacity: .25;\n",
2574 2574 " stroke: rgb(31, 119, 180);\n",
2575 2575 " stroke-width: 1px;\n",
2576 2576 "}\n",
2577 2577 "\n",
2578 2578 ".leaf circle {\n",
2579 2579 " fill: #ff7f0e;\n",
2580 2580 " fill-opacity: 1;\n",
2581 2581 "}\n",
2582 2582 "\n",
2583 2583 "text {\n",
2584 2584 " font: 10px sans-serif;\n",
2585 2585 "}\n",
2586 2586 "\n",
2587 2587 "</style>"
2588 2588 ],
2589 2589 "text/plain": [
2590 2590 "<IPython.core.display.HTML object>"
2591 2591 ]
2592 2592 },
2593 2593 "metadata": {},
2594 2594 "output_type": "display_data"
2595 2595 }
2596 2596 ],
2597 2597 "source": [
2598 2598 "%%html\n",
2599 2599 "<style type=\"text/css\">\n",
2600 2600 "\n",
2601 2601 "circle {\n",
2602 2602 " fill: rgb(31, 119, 180);\n",
2603 2603 " fill-opacity: .25;\n",
2604 2604 " stroke: rgb(31, 119, 180);\n",
2605 2605 " stroke-width: 1px;\n",
2606 2606 "}\n",
2607 2607 "\n",
2608 2608 ".leaf circle {\n",
2609 2609 " fill: #ff7f0e;\n",
2610 2610 " fill-opacity: 1;\n",
2611 2611 "}\n",
2612 2612 "\n",
2613 2613 "text {\n",
2614 2614 " font: 10px sans-serif;\n",
2615 2615 "}\n",
2616 2616 "\n",
2617 2617 "</style>"
2618 2618 ]
2619 2619 },
2620 2620 {
2621 2621 "cell_type": "code",
2622 2622 "execution_count": 23,
2623 2623 "metadata": {
2624 2624 "collapsed": false
2625 2625 },
2626 2626 "outputs": [
2627 2627 {
2628 2628 "data": {
2629 2629 "application/javascript": [
2630 2630 "\n",
2631 2631 "// element is the jQuery element we will append to\n",
2632 2632 "var e = element.get(0);\n",
2633 2633 " \n",
2634 2634 "var diameter = 600,\n",
2635 2635 " format = d3.format(\",d\");\n",
2636 2636 "\n",
2637 2637 "var pack = d3.layout.pack()\n",
2638 2638 " .size([diameter - 4, diameter - 4])\n",
2639 2639 " .value(function(d) { return d.size; });\n",
2640 2640 "\n",
2641 2641 "var svg = d3.select(e).append(\"svg\")\n",
2642 2642 " .attr(\"width\", diameter)\n",
2643 2643 " .attr(\"height\", diameter)\n",
2644 2644 " .append(\"g\")\n",
2645 2645 " .attr(\"transform\", \"translate(2,2)\");\n",
2646 2646 "\n",
2647 2647 "d3.json(\"data/flare.json\", function(error, root) {\n",
2648 2648 " var node = svg.datum(root).selectAll(\".node\")\n",
2649 2649 " .data(pack.nodes)\n",
2650 2650 " .enter().append(\"g\")\n",
2651 2651 " .attr(\"class\", function(d) { return d.children ? \"node\" : \"leaf node\"; })\n",
2652 2652 " .attr(\"transform\", function(d) { return \"translate(\" + d.x + \",\" + d.y + \")\"; });\n",
2653 2653 "\n",
2654 2654 " node.append(\"title\")\n",
2655 2655 " .text(function(d) { return d.name + (d.children ? \"\" : \": \" + format(d.size)); });\n",
2656 2656 "\n",
2657 2657 " node.append(\"circle\")\n",
2658 2658 " .attr(\"r\", function(d) { return d.r; });\n",
2659 2659 "\n",
2660 2660 " node.filter(function(d) { return !d.children; }).append(\"text\")\n",
2661 2661 " .attr(\"dy\", \".3em\")\n",
2662 2662 " .style(\"text-anchor\", \"middle\")\n",
2663 2663 " .text(function(d) { return d.name.substring(0, d.r / 3); });\n",
2664 2664 "});\n",
2665 2665 "\n",
2666 2666 "d3.select(self.frameElement).style(\"height\", diameter + \"px\");"
2667 2667 ],
2668 2668 "text/plain": [
2669 2669 "<IPython.core.display.Javascript object>"
2670 2670 ]
2671 2671 },
2672 2672 "metadata": {},
2673 2673 "output_type": "display_data"
2674 2674 }
2675 2675 ],
2676 2676 "source": [
2677 2677 "%%javascript\n",
2678 2678 "\n",
2679 2679 "// element is the jQuery element we will append to\n",
2680 2680 "var e = element.get(0);\n",
2681 2681 " \n",
2682 2682 "var diameter = 600,\n",
2683 2683 " format = d3.format(\",d\");\n",
2684 2684 "\n",
2685 2685 "var pack = d3.layout.pack()\n",
2686 2686 " .size([diameter - 4, diameter - 4])\n",
2687 2687 " .value(function(d) { return d.size; });\n",
2688 2688 "\n",
2689 2689 "var svg = d3.select(e).append(\"svg\")\n",
2690 2690 " .attr(\"width\", diameter)\n",
2691 2691 " .attr(\"height\", diameter)\n",
2692 2692 " .append(\"g\")\n",
2693 2693 " .attr(\"transform\", \"translate(2,2)\");\n",
2694 2694 "\n",
2695 2695 "d3.json(\"data/flare.json\", function(error, root) {\n",
2696 2696 " var node = svg.datum(root).selectAll(\".node\")\n",
2697 2697 " .data(pack.nodes)\n",
2698 2698 " .enter().append(\"g\")\n",
2699 2699 " .attr(\"class\", function(d) { return d.children ? \"node\" : \"leaf node\"; })\n",
2700 2700 " .attr(\"transform\", function(d) { return \"translate(\" + d.x + \",\" + d.y + \")\"; });\n",
2701 2701 "\n",
2702 2702 " node.append(\"title\")\n",
2703 2703 " .text(function(d) { return d.name + (d.children ? \"\" : \": \" + format(d.size)); });\n",
2704 2704 "\n",
2705 2705 " node.append(\"circle\")\n",
2706 2706 " .attr(\"r\", function(d) { return d.r; });\n",
2707 2707 "\n",
2708 2708 " node.filter(function(d) { return !d.children; }).append(\"text\")\n",
2709 2709 " .attr(\"dy\", \".3em\")\n",
2710 2710 " .style(\"text-anchor\", \"middle\")\n",
2711 2711 " .text(function(d) { return d.name.substring(0, d.r / 3); });\n",
2712 2712 "});\n",
2713 2713 "\n",
2714 2714 "d3.select(self.frameElement).style(\"height\", diameter + \"px\");"
2715 2715 ]
2716 2716 },
2717 2717 {
2718 2718 "cell_type": "markdown",
2719 2719 "metadata": {},
2720 2720 "source": [
2721 2721 "## LaTeX"
2722 2722 ]
2723 2723 },
2724 2724 {
2725 2725 "cell_type": "markdown",
2726 2726 "metadata": {},
2727 2727 "source": [
2728 2728 "The IPython display system also has builtin support for the display of mathematical expressions typeset in LaTeX, which is rendered in the browser using [MathJax](http://mathjax.org)."
2729 2729 ]
2730 2730 },
2731 2731 {
2732 2732 "cell_type": "markdown",
2733 2733 "metadata": {},
2734 2734 "source": [
2735 2735 "You can pass raw LaTeX test as a string to the `Math` object:"
2736 2736 ]
2737 2737 },
2738 2738 {
2739 2739 "cell_type": "code",
2740 2740 "execution_count": 24,
2741 2741 "metadata": {
2742 2742 "collapsed": false
2743 2743 },
2744 2744 "outputs": [
2745 2745 {
2746 2746 "data": {
2747 2747 "text/latex": [
2748 2748 "$$F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx$$"
2749 2749 ],
2750 2750 "text/plain": [
2751 2751 "<IPython.core.display.Math object>"
2752 2752 ]
2753 2753 },
2754 2754 "execution_count": 24,
2755 2755 "metadata": {},
2756 2756 "output_type": "execute_result"
2757 2757 }
2758 2758 ],
2759 2759 "source": [
2760 2760 "from IPython.display import Math\n",
2761 2761 "Math(r'F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx')"
2762 2762 ]
2763 2763 },
2764 2764 {
2765 2765 "cell_type": "markdown",
2766 2766 "metadata": {},
2767 2767 "source": [
2768 2768 "With the `Latex` class, you have to include the delimiters yourself. This allows you to use other LaTeX modes such as `eqnarray`:"
2769 2769 ]
2770 2770 },
2771 2771 {
2772 2772 "cell_type": "code",
2773 2773 "execution_count": 25,
2774 2774 "metadata": {
2775 2775 "collapsed": false
2776 2776 },
2777 2777 "outputs": [
2778 2778 {
2779 2779 "data": {
2780 2780 "text/latex": [
2781 2781 "\\begin{eqnarray}\n",
2782 2782 "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
2783 2783 "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
2784 2784 "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
2785 2785 "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
2786 2786 "\\end{eqnarray}"
2787 2787 ],
2788 2788 "text/plain": [
2789 2789 "<IPython.core.display.Latex object>"
2790 2790 ]
2791 2791 },
2792 2792 "execution_count": 25,
2793 2793 "metadata": {},
2794 2794 "output_type": "execute_result"
2795 2795 }
2796 2796 ],
2797 2797 "source": [
2798 2798 "from IPython.display import Latex\n",
2799 2799 "Latex(r\"\"\"\\begin{eqnarray}\n",
2800 2800 "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
2801 2801 "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
2802 2802 "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
2803 2803 "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
2804 2804 "\\end{eqnarray}\"\"\")"
2805 2805 ]
2806 2806 },
2807 2807 {
2808 2808 "cell_type": "markdown",
2809 2809 "metadata": {},
2810 2810 "source": [
2811 2811 "Or you can enter LaTeX directly with the `%%latex` cell magic:"
2812 2812 ]
2813 2813 },
2814 2814 {
2815 2815 "cell_type": "code",
2816 2816 "execution_count": 26,
2817 2817 "metadata": {
2818 2818 "collapsed": false
2819 2819 },
2820 2820 "outputs": [
2821 2821 {
2822 2822 "data": {
2823 2823 "text/latex": [
2824 2824 "\\begin{align}\n",
2825 2825 "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
2826 2826 "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
2827 2827 "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
2828 2828 "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0\n",
2829 2829 "\\end{align}"
2830 2830 ],
2831 2831 "text/plain": [
2832 2832 "<IPython.core.display.Latex object>"
2833 2833 ]
2834 2834 },
2835 2835 "metadata": {},
2836 2836 "output_type": "display_data"
2837 2837 }
2838 2838 ],
2839 2839 "source": [
2840 2840 "%%latex\n",
2841 2841 "\\begin{align}\n",
2842 2842 "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
2843 2843 "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
2844 2844 "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
2845 2845 "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0\n",
2846 2846 "\\end{align}"
2847 2847 ]
2848 2848 },
2849 2849 {
2850 2850 "cell_type": "markdown",
2851 2851 "metadata": {},
2852 2852 "source": [
2853 2853 "## Audio"
2854 2854 ]
2855 2855 },
2856 2856 {
2857 2857 "cell_type": "markdown",
2858 2858 "metadata": {},
2859 2859 "source": [
2860 2860 "IPython makes it easy to work with sounds interactively. The `Audio` display class allows you to create an audio control that is embedded in the Notebook. The interface is analogous to the interface of the `Image` display class. All audio formats supported by the browser can be used. Note that no single format is presently supported in all browsers."
2861 2861 ]
2862 2862 },
2863 2863 {
2864 2864 "cell_type": "code",
2865 2865 "execution_count": 27,
2866 2866 "metadata": {
2867 2867 "collapsed": false
2868 2868 },
2869 2869 "outputs": [
2870 2870 {
2871 2871 "data": {
2872 2872 "text/html": [
2873 2873 "\n",
2874 2874 " <audio controls=\"controls\" >\n",
2875 2875 " <source src=\"http://www.nch.com.au/acm/8k16bitpcm.wav\" type=\"audio/x-wav\" />\n",
2876 2876 " Your browser does not support the audio element.\n",
2877 2877 " </audio>\n",
2878 2878 " "
2879 2879 ],
2880 2880 "text/plain": [
2881 2881 "<IPython.lib.display.Audio object>"
2882 2882 ]
2883 2883 },
2884 2884 "execution_count": 27,
2885 2885 "metadata": {},
2886 2886 "output_type": "execute_result"
2887 2887 }
2888 2888 ],
2889 2889 "source": [
2890 2890 "from IPython.display import Audio\n",
2891 2891 "Audio(url=\"http://www.nch.com.au/acm/8k16bitpcm.wav\")"
2892 2892 ]
2893 2893 },
2894 2894 {
2895 2895 "cell_type": "markdown",
2896 2896 "metadata": {},
2897 2897 "source": [
2898 2898 "A NumPy array can be auralized automatically. The `Audio` class normalizes and encodes the data and embeds the resulting audio in the Notebook.\n",
2899 2899 "\n",
2900 2900 "For instance, when two sine waves with almost the same frequency are superimposed a phenomena known as [beats](https://en.wikipedia.org/wiki/Beat_%28acoustics%29) occur. This can be auralised as follows:"
2901 2901 ]
2902 2902 },
2903 2903 {
2904 2904 "cell_type": "code",
2905 2905 "execution_count": 28,
2906 2906 "metadata": {
2907 2907 "collapsed": false
2908 2908 },
2909 2909 "outputs": [
2910 2910 {
2911 2911 "data": {
2912 2912 "text/html": [
2913 2913 "\n",
2914 2914 " <audio controls=\"controls\" >\n",
2915 2915 " <source 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\" type=\"audio/wav\" />\n",
2916 2916 " Your browser does not support the audio element.\n",
2917 2917 " </audio>\n",
2918 2918 " "
2919 2919 ],
2920 2920 "text/plain": [
2921 2921 "<IPython.lib.display.Audio object>"
2922 2922 ]
2923 2923 },
2924 2924 "execution_count": 28,
2925 2925 "metadata": {},
2926 2926 "output_type": "execute_result"
2927 2927 }
2928 2928 ],
2929 2929 "source": [
2930 2930 "import numpy as np\n",
2931 2931 "max_time = 3\n",
2932 2932 "f1 = 220.0\n",
2933 2933 "f2 = 224.0\n",
2934 2934 "rate = 8000.0\n",
2935 2935 "L = 3\n",
2936 2936 "times = np.linspace(0,L,rate*L)\n",
2937 2937 "signal = np.sin(2*np.pi*f1*times) + np.sin(2*np.pi*f2*times)\n",
2938 2938 "\n",
2939 2939 "Audio(data=signal, rate=rate)"
2940 2940 ]
2941 2941 },
2942 2942 {
2943 2943 "cell_type": "markdown",
2944 2944 "metadata": {},
2945 2945 "source": [
2946 2946 "## Video"
2947 2947 ]
2948 2948 },
2949 2949 {
2950 2950 "cell_type": "markdown",
2951 2951 "metadata": {},
2952 2952 "source": [
2953 2953 "More exotic objects can also be displayed, as long as their representation supports the IPython display protocol. For example, videos hosted externally on YouTube are easy to load:"
2954 2954 ]
2955 2955 },
2956 2956 {
2957 2957 "cell_type": "code",
2958 2958 "execution_count": 29,
2959 2959 "metadata": {
2960 2960 "collapsed": false
2961 2961 },
2962 2962 "outputs": [
2963 2963 {
2964 2964 "data": {
2965 2965 "text/html": [
2966 2966 "\n",
2967 2967 " <iframe\n",
2968 2968 " width=\"400\"\n",
2969 2969 " height=\"300\"\n",
2970 2970 " src=\"https://www.youtube.com/embed/sjfsUzECqK0\"\n",
2971 2971 " frameborder=\"0\"\n",
2972 2972 " allowfullscreen\n",
2973 2973 " ></iframe>\n",
2974 2974 " "
2975 2975 ],
2976 2976 "text/plain": [
2977 2977 "<IPython.lib.display.YouTubeVideo at 0x1058e5cf8>"
2978 2978 ]
2979 2979 },
2980 2980 "execution_count": 29,
2981 2981 "metadata": {},
2982 2982 "output_type": "execute_result"
2983 2983 }
2984 2984 ],
2985 2985 "source": [
2986 2986 "from IPython.display import YouTubeVideo\n",
2987 2987 "YouTubeVideo('sjfsUzECqK0')"
2988 2988 ]
2989 2989 },
2990 2990 {
2991 2991 "cell_type": "markdown",
2992 2992 "metadata": {},
2993 2993 "source": [
2994 2994 "Using the nascent video capabilities of modern browsers, you may also be able to display local\n",
2995 2995 "videos. At the moment this doesn't work very well in all browsers, so it may or may not work for you;\n",
2996 2996 "we will continue testing this and looking for ways to make it more robust. \n",
2997 2997 "\n",
2998 2998 "The following cell loads a local file called `animation.m4v`, encodes the raw video as base64 for http\n",
2999 2999 "transport, and uses the HTML5 video tag to load it. On Chrome 15 it works correctly, displaying a control bar at the bottom with a play/pause button and a location slider."
3000 3000 ]
3001 3001 },
3002 3002 {
3003 3003 "cell_type": "code",
3004 3004 "execution_count": 30,
3005 3005 "metadata": {
3006 3006 "collapsed": false
3007 3007 },
3008 3008 "outputs": [
3009 3009 {
3010 3010 "data": {
3011 3011 "text/html": [
3012 3012 "<video controls alt=\"test\" 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3013 3013 ],
3014 3014 "text/plain": [
3015 3015 "<IPython.core.display.HTML object>"
3016 3016 ]
3017 3017 },
3018 3018 "execution_count": 30,
3019 3019 "metadata": {},
3020 3020 "output_type": "execute_result"
3021 3021 }
3022 3022 ],
3023 3023 "source": [
3024 3024 "from IPython.display import HTML\n",
3025 3025 "from base64 import b64encode\n",
3026 3026 "with open(\"../images/animation.m4v\", \"rb\") as f:\n",
3027 3027 " video = f.read()\n",
3028 3028 "video_encoded = b64encode(video).decode('ascii')\n",
3029 3029 "video_tag = '<video controls alt=\"test\" src=\"data:video/x-m4v;base64,{0}\">'.format(video_encoded)\n",
3030 3030 "HTML(data=video_tag)"
3031 3031 ]
3032 3032 },
3033 3033 {
3034 3034 "cell_type": "markdown",
3035 3035 "metadata": {},
3036 3036 "source": [
3037 3037 "## External sites"
3038 3038 ]
3039 3039 },
3040 3040 {
3041 3041 "cell_type": "markdown",
3042 3042 "metadata": {},
3043 3043 "source": [
3044 3044 "You can even embed an entire page from another site in an iframe; for example this is today's Wikipedia\n",
3045 3045 "page for mobile users:"
3046 3046 ]
3047 3047 },
3048 3048 {
3049 3049 "cell_type": "code",
3050 3050 "execution_count": 31,
3051 3051 "metadata": {
3052 3052 "collapsed": false
3053 3053 },
3054 3054 "outputs": [
3055 3055 {
3056 3056 "data": {
3057 3057 "text/html": [
3058 3058 "\n",
3059 3059 " <iframe\n",
3060 3060 " width=\"100%\"\n",
3061 3061 " height=\"350\"\n",
3062 3062 " src=\"https://jupyter.org\"\n",
3063 3063 " frameborder=\"0\"\n",
3064 3064 " allowfullscreen\n",
3065 3065 " ></iframe>\n",
3066 3066 " "
3067 3067 ],
3068 3068 "text/plain": [
3069 3069 "<IPython.lib.display.IFrame at 0x1059ae7b8>"
3070 3070 ]
3071 3071 },
3072 3072 "execution_count": 31,
3073 3073 "metadata": {},
3074 3074 "output_type": "execute_result"
3075 3075 }
3076 3076 ],
3077 3077 "source": [
3078 3078 "from IPython.display import IFrame\n",
3079 3079 "IFrame('https://jupyter.org', width='100%', height=350)"
3080 3080 ]
3081 3081 },
3082 3082 {
3083 3083 "cell_type": "markdown",
3084 3084 "metadata": {},
3085 3085 "source": [
3086 3086 "## Links to local files"
3087 3087 ]
3088 3088 },
3089 3089 {
3090 3090 "cell_type": "markdown",
3091 3091 "metadata": {},
3092 3092 "source": [
3093 3093 "IPython provides builtin display classes for generating links to local files. Create a link to a single file using the `FileLink` object:"
3094 3094 ]
3095 3095 },
3096 3096 {
3097 3097 "cell_type": "code",
3098 3098 "execution_count": 32,
3099 3099 "metadata": {
3100 3100 "collapsed": false
3101 3101 },
3102 3102 "outputs": [
3103 3103 {
3104 3104 "data": {
3105 3105 "text/html": [
3106 3106 "<a href='Cell Magics.ipynb' target='_blank'>Cell Magics.ipynb</a><br>"
3107 3107 ],
3108 3108 "text/plain": [
3109 3109 "/Users/minrk/dev/ip/mine/examples/IPython Kernel/Cell Magics.ipynb"
3110 3110 ]
3111 3111 },
3112 3112 "execution_count": 32,
3113 3113 "metadata": {},
3114 3114 "output_type": "execute_result"
3115 3115 }
3116 3116 ],
3117 3117 "source": [
3118 3118 "from IPython.display import FileLink, FileLinks\n",
3119 3119 "FileLink('Cell Magics.ipynb')"
3120 3120 ]
3121 3121 },
3122 3122 {
3123 3123 "cell_type": "markdown",
3124 3124 "metadata": {},
3125 3125 "source": [
3126 3126 "Alternatively, to generate links to all of the files in a directory, use the `FileLinks` object, passing `'.'` to indicate that we want links generated for the current working directory. Note that if there were other directories under the current directory, `FileLinks` would work in a recursive manner creating links to files in all sub-directories as well."
3127 3127 ]
3128 3128 },
3129 3129 {
3130 3130 "cell_type": "code",
3131 3131 "execution_count": 33,
3132 3132 "metadata": {
3133 3133 "collapsed": false
3134 3134 },
3135 3135 "outputs": [
3136 3136 {
3137 3137 "data": {
3138 3138 "text/html": [
3139 3139 "./<br>\n",
3140 3140 "&nbsp;&nbsp;<a href='./Animations Using clear_output.ipynb' target='_blank'>Animations Using clear_output.ipynb</a><br>\n",
3141 3141 "&nbsp;&nbsp;<a href='./Background Jobs.ipynb' target='_blank'>Background Jobs.ipynb</a><br>\n",
3142 3142 "&nbsp;&nbsp;<a href='./Beyond Plain Python.ipynb' target='_blank'>Beyond Plain Python.ipynb</a><br>\n",
3143 3143 "&nbsp;&nbsp;<a href='./Capturing Output.ipynb' target='_blank'>Capturing Output.ipynb</a><br>\n",
3144 3144 "&nbsp;&nbsp;<a href='./Cell Magics.ipynb' target='_blank'>Cell Magics.ipynb</a><br>\n",
3145 3145 "&nbsp;&nbsp;<a href='./Custom Display Logic.ipynb' target='_blank'>Custom Display Logic.ipynb</a><br>\n",
3146 3146 "&nbsp;&nbsp;<a href='./example-demo.py' target='_blank'>example-demo.py</a><br>\n",
3147 3147 "&nbsp;&nbsp;<a href='./foo.py' target='_blank'>foo.py</a><br>\n",
3148 3148 "&nbsp;&nbsp;<a href='./Index.ipynb' target='_blank'>Index.ipynb</a><br>\n",
3149 3149 "&nbsp;&nbsp;<a href='./ipython-completion.bash' target='_blank'>ipython-completion.bash</a><br>\n",
3150 3150 "&nbsp;&nbsp;<a href='./ipython-get-history.py' target='_blank'>ipython-get-history.py</a><br>\n",
3151 3151 "&nbsp;&nbsp;<a href='./ipython-qtconsole.desktop' target='_blank'>ipython-qtconsole.desktop</a><br>\n",
3152 3152 "&nbsp;&nbsp;<a href='./ipython.desktop' target='_blank'>ipython.desktop</a><br>\n",
3153 3153 "&nbsp;&nbsp;<a href='./mod.py' target='_blank'>mod.py</a><br>\n",
3154 3154 "&nbsp;&nbsp;<a href='./Plotting in the Notebook.ipynb' target='_blank'>Plotting in the Notebook.ipynb</a><br>\n",
3155 3155 "&nbsp;&nbsp;<a href='./Raw Input in the Notebook.ipynb' target='_blank'>Raw Input in the Notebook.ipynb</a><br>\n",
3156 3156 "&nbsp;&nbsp;<a href='./Rich Output.ipynb' target='_blank'>Rich Output.ipynb</a><br>\n",
3157 3157 "&nbsp;&nbsp;<a href='./Script Magics.ipynb' target='_blank'>Script Magics.ipynb</a><br>\n",
3158 3158 "&nbsp;&nbsp;<a href='./SymPy.ipynb' target='_blank'>SymPy.ipynb</a><br>\n",
3159 3159 "&nbsp;&nbsp;<a href='./Terminal Usage.ipynb' target='_blank'>Terminal Usage.ipynb</a><br>\n",
3160 3160 "&nbsp;&nbsp;<a href='./test.txt' target='_blank'>test.txt</a><br>\n",
3161 3161 "&nbsp;&nbsp;<a href='./Third Party Rich Output.ipynb' target='_blank'>Third Party Rich Output.ipynb</a><br>\n",
3162 3162 "&nbsp;&nbsp;<a href='./Trapezoid Rule.ipynb' target='_blank'>Trapezoid Rule.ipynb</a><br>\n",
3163 3163 "&nbsp;&nbsp;<a href='./Working With External Code.ipynb' target='_blank'>Working With External Code.ipynb</a><br>\n",
3164 3164 "./.ipynb_checkpoints/<br>\n",
3165 3165 "&nbsp;&nbsp;<a href='./.ipynb_checkpoints/Animations Using clear_output-checkpoint.ipynb' target='_blank'>Animations Using clear_output-checkpoint.ipynb</a><br>\n",
3166 3166 "&nbsp;&nbsp;<a href='./.ipynb_checkpoints/Background Jobs-checkpoint.ipynb' target='_blank'>Background Jobs-checkpoint.ipynb</a><br>\n",
3167 3167 "&nbsp;&nbsp;<a href='./.ipynb_checkpoints/Beyond Plain Python-checkpoint.ipynb' target='_blank'>Beyond Plain Python-checkpoint.ipynb</a><br>\n",
3168 3168 "&nbsp;&nbsp;<a href='./.ipynb_checkpoints/Capturing Output-checkpoint.ipynb' target='_blank'>Capturing Output-checkpoint.ipynb</a><br>\n",
3169 3169 "&nbsp;&nbsp;<a href='./.ipynb_checkpoints/Cell Magics-checkpoint.ipynb' target='_blank'>Cell Magics-checkpoint.ipynb</a><br>\n",
3170 3170 "&nbsp;&nbsp;<a href='./.ipynb_checkpoints/Custom Display Logic-checkpoint.ipynb' target='_blank'>Custom Display Logic-checkpoint.ipynb</a><br>\n",
3171 3171 "&nbsp;&nbsp;<a href='./.ipynb_checkpoints/Index-checkpoint.ipynb' target='_blank'>Index-checkpoint.ipynb</a><br>\n",
3172 3172 "&nbsp;&nbsp;<a href='./.ipynb_checkpoints/Plotting in the Notebook-checkpoint.ipynb' target='_blank'>Plotting in the Notebook-checkpoint.ipynb</a><br>\n",
3173 3173 "&nbsp;&nbsp;<a href='./.ipynb_checkpoints/Raw Input in the Notebook-checkpoint.ipynb' target='_blank'>Raw Input in the Notebook-checkpoint.ipynb</a><br>\n",
3174 3174 "&nbsp;&nbsp;<a href='./.ipynb_checkpoints/Rich Output-checkpoint.ipynb' target='_blank'>Rich Output-checkpoint.ipynb</a><br>\n",
3175 3175 "./__pycache__/<br>\n",
3176 3176 "&nbsp;&nbsp;<a href='./__pycache__/mod.cpython-34.pyc' target='_blank'>mod.cpython-34.pyc</a><br>\n",
3177 3177 "./data/<br>\n",
3178 3178 "&nbsp;&nbsp;<a href='./data/flare.json' target='_blank'>flare.json</a><br>\n",
3179 3179 "./gui/<br>\n",
3180 3180 "&nbsp;&nbsp;<a href='./gui/gui-glut.py' target='_blank'>gui-glut.py</a><br>\n",
3181 3181 "&nbsp;&nbsp;<a href='./gui/gui-gtk.py' target='_blank'>gui-gtk.py</a><br>\n",
3182 3182 "&nbsp;&nbsp;<a href='./gui/gui-gtk3.py' target='_blank'>gui-gtk3.py</a><br>\n",
3183 "&nbsp;&nbsp;<a href='./gui/gui-gtk4.py' target='_blank'>gui-gtk4.py</a><br>\n",
3183 3184 "&nbsp;&nbsp;<a href='./gui/gui-pyglet.py' target='_blank'>gui-pyglet.py</a><br>\n",
3184 3185 "&nbsp;&nbsp;<a href='./gui/gui-qt.py' target='_blank'>gui-qt.py</a><br>\n",
3185 3186 "&nbsp;&nbsp;<a href='./gui/gui-tk.py' target='_blank'>gui-tk.py</a><br>\n",
3186 3187 "&nbsp;&nbsp;<a href='./gui/gui-wx.py' target='_blank'>gui-wx.py</a><br>"
3187 3188 ],
3188 3189 "text/plain": [
3189 3190 "./\n",
3190 3191 " Animations Using clear_output.ipynb\n",
3191 3192 " Background Jobs.ipynb\n",
3192 3193 " Beyond Plain Python.ipynb\n",
3193 3194 " Capturing Output.ipynb\n",
3194 3195 " Cell Magics.ipynb\n",
3195 3196 " Custom Display Logic.ipynb\n",
3196 3197 " example-demo.py\n",
3197 3198 " foo.py\n",
3198 3199 " Index.ipynb\n",
3199 3200 " ipython-completion.bash\n",
3200 3201 " ipython-get-history.py\n",
3201 3202 " ipython-qtconsole.desktop\n",
3202 3203 " ipython.desktop\n",
3203 3204 " mod.py\n",
3204 3205 " Plotting in the Notebook.ipynb\n",
3205 3206 " Raw Input in the Notebook.ipynb\n",
3206 3207 " Rich Output.ipynb\n",
3207 3208 " Script Magics.ipynb\n",
3208 3209 " SymPy.ipynb\n",
3209 3210 " Terminal Usage.ipynb\n",
3210 3211 " test.txt\n",
3211 3212 " Third Party Rich Output.ipynb\n",
3212 3213 " Trapezoid Rule.ipynb\n",
3213 3214 " Working With External Code.ipynb\n",
3214 3215 "./.ipynb_checkpoints/\n",
3215 3216 " Animations Using clear_output-checkpoint.ipynb\n",
3216 3217 " Background Jobs-checkpoint.ipynb\n",
3217 3218 " Beyond Plain Python-checkpoint.ipynb\n",
3218 3219 " Capturing Output-checkpoint.ipynb\n",
3219 3220 " Cell Magics-checkpoint.ipynb\n",
3220 3221 " Custom Display Logic-checkpoint.ipynb\n",
3221 3222 " Index-checkpoint.ipynb\n",
3222 3223 " Plotting in the Notebook-checkpoint.ipynb\n",
3223 3224 " Raw Input in the Notebook-checkpoint.ipynb\n",
3224 3225 " Rich Output-checkpoint.ipynb\n",
3225 3226 "./__pycache__/\n",
3226 3227 " mod.cpython-34.pyc\n",
3227 3228 "./data/\n",
3228 3229 " flare.json\n",
3229 3230 "./gui/\n",
3230 3231 " gui-glut.py\n",
3231 3232 " gui-gtk.py\n",
3232 3233 " gui-gtk3.py\n",
3234 " gui-gtk4.py\n",
3233 3235 " gui-pyglet.py\n",
3234 3236 " gui-qt.py\n",
3235 3237 " gui-tk.py\n",
3236 3238 " gui-wx.py"
3237 3239 ]
3238 3240 },
3239 3241 "execution_count": 33,
3240 3242 "metadata": {},
3241 3243 "output_type": "execute_result"
3242 3244 }
3243 3245 ],
3244 3246 "source": [
3245 3247 "FileLinks('.')"
3246 3248 ]
3247 3249 },
3248 3250 {
3249 3251 "cell_type": "markdown",
3250 3252 "metadata": {},
3251 3253 "source": [
3252 3254 "## Rich output and security"
3253 3255 ]
3254 3256 },
3255 3257 {
3256 3258 "cell_type": "markdown",
3257 3259 "metadata": {},
3258 3260 "source": [
3259 3261 "The IPython Notebook allows arbitrary code execution in both the IPython kernel and in the browser, though HTML and JavaScript output. More importantly, because IPython has a JavaScript API for running code in the browser, HTML and JavaScript output can actually trigger code to be run in the kernel. This poses a significant security risk as it would allow IPython Notebooks to execute arbitrary code on your computers.\n",
3260 3262 "\n",
3261 3263 "To protect against these risks, the IPython Notebook has a security model that specifies how dangerous output is handled. Here is a short summary:\n",
3262 3264 "\n",
3263 3265 "* When you run code in the Notebook, all rich output is displayed.\n",
3264 3266 "* When you open a notebook, rich output is only displayed if it doesn't contain security vulberabilities, ...\n",
3265 3267 "* ... or if you have trusted a notebook, all rich output will run upon opening it.\n",
3266 3268 "\n",
3267 3269 "A full description of the IPython security model can be found on [this page](https://ipython.org/ipython-doc/dev/notebook/security.html)."
3268 3270 ]
3269 3271 },
3270 3272 {
3271 3273 "cell_type": "markdown",
3272 3274 "metadata": {},
3273 3275 "source": [
3274 3276 "## Rich output and nbviewer"
3275 3277 ]
3276 3278 },
3277 3279 {
3278 3280 "cell_type": "markdown",
3279 3281 "metadata": {},
3280 3282 "source": [
3281 3283 "Much of the power of the Notebook is that it enables users to share notebooks with each other using http://nbviewer.ipython.org, without installing IPython locally. As of IPython 2.0, notebooks rendered on nbviewer will display all output, including HTML and JavaScript. Furthermore, to provide a consistent JavaScript environment on the live Notebook and nbviewer, the following JavaScript libraries are loaded onto the nbviewer page, *before* the notebook and its output is displayed:\n",
3282 3284 "\n",
3283 3285 "* [jQuery](http://jquery.com/)\n",
3284 3286 "* [RequireJS](http://requirejs.org/)\n",
3285 3287 "\n",
3286 3288 "Libraries such as [mpld3](http://mpld3.github.io/) use these capabilities to generate interactive visualizations that work on nbviewer."
3287 3289 ]
3288 3290 }
3289 3291 ],
3290 3292 "metadata": {
3291 3293 "kernelspec": {
3292 3294 "display_name": "Python 3",
3293 3295 "language": "python",
3294 3296 "name": "python3"
3295 3297 },
3296 3298 "language_info": {
3297 3299 "codemirror_mode": {
3298 3300 "name": "ipython",
3299 3301 "version": 3
3300 3302 },
3301 3303 "file_extension": ".py",
3302 3304 "mimetype": "text/x-python",
3303 3305 "name": "python",
3304 3306 "nbconvert_exporter": "python",
3305 3307 "pygments_lexer": "ipython3",
3306 3308 "version": "3.4.2"
3307 3309 }
3308 3310 },
3309 3311 "nbformat": 4,
3310 3312 "nbformat_minor": 0
3311 3313 }
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