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1 {
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8 {
9 {
9 "cells": [
10 "cells": [
10 {
11 {
11 "cell_type": "heading",
12 "cell_type": "heading",
12 "level": 1,
13 "level": 1,
13 "metadata": {},
14 "metadata": {},
14 "source": [
15 "source": [
15 "Basic Output"
16 "Basic Output"
16 ]
17 ]
17 },
18 },
18 {
19 {
19 "cell_type": "markdown",
20 "cell_type": "markdown",
20 "metadata": {},
21 "metadata": {},
21 "source": [
22 "source": [
22 "When a cell is run, it can generate *output*. In IPython, the definition of output is quite general; it can be text, images, LaTeX, HTML or JSON. All output is displayed below the code that generated it, in the *output area*.\n",
23 "When a cell is run, it can generate *output*. In IPython, the definition of output is quite general; it can be text, images, LaTeX, HTML or JSON. All output is displayed below the code that generated it, in the *output area*.\n",
23 "\n",
24 "\n",
24 "This Notebook describes the basics of output and shows how the `stdout/stderr` streams are handled."
25 "This Notebook describes the basics of output and shows how the `stdout/stderr` streams are handled."
25 ]
26 ]
26 },
27 },
27 {
28 {
28 "cell_type": "heading",
29 "cell_type": "heading",
29 "level": 2,
30 "level": 2,
30 "metadata": {},
31 "metadata": {},
31 "source": [
32 "source": [
32 "Displayhook"
33 "Displayhook"
33 ]
34 ]
34 },
35 },
35 {
36 {
36 "cell_type": "markdown",
37 "cell_type": "markdown",
37 "metadata": {},
38 "metadata": {},
38 "source": [
39 "source": [
39 "When a Python object is returned by an expression, Python's `displayhook` mechanism is triggered. In IPython, this results in an output prompt, such as `Out[2]`. These objects are then available under the variables:\n",
40 "When a Python object is returned by an expression, Python's `displayhook` mechanism is triggered. In IPython, this results in an output prompt, such as `Out[2]`. These objects are then available under the variables:\n",
40 "\n",
41 "\n",
41 "* `_` (last output)\n",
42 "* `_` (last output)\n",
42 "* `__` (second to last output)\n",
43 "* `__` (second to last output)\n",
43 "* `_N` (`Out[N]`)"
44 "* `_N` (`Out[N]`)"
44 ]
45 ]
45 },
46 },
46 {
47 {
47 "cell_type": "code",
48 "cell_type": "code",
48 "collapsed": false,
49 "collapsed": false,
49 "input": [
50 "input": [
50 "import numpy as np\n",
51 "import numpy as np\n",
51 "import sys"
52 "import sys"
52 ],
53 ],
53 "language": "python",
54 "language": "python",
54 "metadata": {},
55 "metadata": {},
55 "outputs": [],
56 "outputs": [],
56 "prompt_number": 1
57 "prompt_number": 1
57 },
58 },
58 {
59 {
59 "cell_type": "code",
60 "cell_type": "code",
60 "collapsed": false,
61 "collapsed": false,
61 "input": [
62 "input": [
62 "np.random.rand(10)"
63 "np.random.rand(10)"
63 ],
64 ],
64 "language": "python",
65 "language": "python",
65 "metadata": {},
66 "metadata": {},
66 "outputs": [
67 "outputs": [
67 {
68 {
68 "metadata": {},
69 "metadata": {},
69 "output_type": "pyout",
70 "output_type": "pyout",
70 "prompt_number": 2,
71 "prompt_number": 2,
71 "text": [
72 "text": [
72 "array([ 0.75222263, 0.72102181, 0.15122973, 0.00386071, 0.21584229,\n",
73 "array([ 0.95903549, 0.20840774, 0.89732074, 0.72494962, 0.30424358,\n",
73 " 0.72508214, 0.16864276, 0.96639874, 0.92500381, 0.30806583])"
74 " 0.03881097, 0.72698477, 0.92148251, 0.96582423, 0.95202918])"
74 ]
75 ]
75 }
76 }
76 ],
77 ],
77 "prompt_number": 2
78 "prompt_number": 2
78 },
79 },
79 {
80 {
80 "cell_type": "code",
81 "cell_type": "code",
81 "collapsed": false,
82 "collapsed": false,
82 "input": [
83 "input": [
83 "np.sin(_)"
84 "np.sin(_)"
84 ],
85 ],
85 "language": "python",
86 "language": "python",
86 "metadata": {},
87 "metadata": {},
87 "outputs": [
88 "outputs": [
88 {
89 {
89 "metadata": {},
90 "metadata": {},
90 "output_type": "pyout",
91 "output_type": "pyout",
91 "prompt_number": 3,
92 "prompt_number": 3,
92 "text": [
93 "text": [
93 "array([ 0.68326335, 0.66015253, 0.15065394, 0.0038607 , 0.21417025,\n",
94 "array([ 0.81863802, 0.20690236, 0.78165864, 0.66309773, 0.29957159,\n",
94 " 0.66319692, 0.16784452, 0.82284458, 0.79862306, 0.3032161 ])"
95 " 0.03880123, 0.66461974, 0.79649888, 0.82251797, 0.81459417])"
95 ]
96 ]
96 }
97 }
97 ],
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98 "prompt_number": 3
99 "prompt_number": 3
99 },
100 },
100 {
101 {
101 "cell_type": "heading",
102 "cell_type": "heading",
102 "level": 2,
103 "level": 2,
103 "metadata": {},
104 "metadata": {},
104 "source": [
105 "source": [
105 "sys.stdout and sys.stderr"
106 "sys.stdout and sys.stderr"
106 ]
107 ]
107 },
108 },
108 {
109 {
109 "cell_type": "markdown",
110 "cell_type": "markdown",
110 "metadata": {},
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112 "source": [
112 "The stdout and stderr streams are displayed as text in the output area."
113 "The stdout and stderr streams are displayed as text in the output area."
113 ]
114 ]
114 },
115 },
115 {
116 {
116 "cell_type": "code",
117 "cell_type": "code",
117 "collapsed": false,
118 "collapsed": false,
118 "input": [
119 "input": [
119 "print(\"hi, stdout\")"
120 "print(\"hi, stdout\")"
120 ],
121 ],
121 "language": "python",
122 "language": "python",
122 "metadata": {},
123 "metadata": {},
123 "outputs": [
124 "outputs": [
124 {
125 {
125 "output_type": "stream",
126 "output_type": "stream",
126 "stream": "stdout",
127 "stream": "stdout",
127 "text": [
128 "text": [
128 "hi, stdout\n"
129 "hi, stdout\n"
129 ]
130 ]
130 }
131 }
131 ],
132 ],
132 "prompt_number": 4
133 "prompt_number": 4
133 },
134 },
134 {
135 {
135 "cell_type": "code",
136 "cell_type": "code",
136 "collapsed": false,
137 "collapsed": false,
137 "input": [
138 "input": [
138 "from __future__ import print_function\n",
139 "from __future__ import print_function\n",
139 "print('hi, stderr', file=sys.stderr)"
140 "print('hi, stderr', file=sys.stderr)"
140 ],
141 ],
141 "language": "python",
142 "language": "python",
142 "metadata": {},
143 "metadata": {},
143 "outputs": [
144 "outputs": [
144 {
145 {
145 "output_type": "stream",
146 "output_type": "stream",
146 "stream": "stderr",
147 "stream": "stderr",
147 "text": [
148 "text": [
148 "hi, stderr\n"
149 "hi, stderr\n"
149 ]
150 ]
150 }
151 }
151 ],
152 ],
152 "prompt_number": 5
153 "prompt_number": 5
153 },
154 },
154 {
155 {
155 "cell_type": "heading",
156 "cell_type": "heading",
156 "level": 2,
157 "level": 2,
157 "metadata": {},
158 "metadata": {},
158 "source": [
159 "source": [
159 "Output is asynchronous"
160 "Output is asynchronous"
160 ]
161 ]
161 },
162 },
162 {
163 {
163 "cell_type": "markdown",
164 "cell_type": "markdown",
164 "metadata": {},
165 "metadata": {},
165 "source": [
166 "source": [
166 "All output is displayed asynchronously as it is generated in the Kernel. If you execute the next cell, you will see the output one piece at a time, not all at the end."
167 "All output is displayed asynchronously as it is generated in the Kernel. If you execute the next cell, you will see the output one piece at a time, not all at the end."
167 ]
168 ]
168 },
169 },
169 {
170 {
170 "cell_type": "code",
171 "cell_type": "code",
171 "collapsed": false,
172 "collapsed": false,
172 "input": [
173 "input": [
173 "import time, sys\n",
174 "import time, sys\n",
174 "for i in range(8):\n",
175 "for i in range(8):\n",
175 " print(i)\n",
176 " print(i)\n",
176 " time.sleep(0.5)"
177 " time.sleep(0.5)"
177 ],
178 ],
178 "language": "python",
179 "language": "python",
179 "metadata": {},
180 "metadata": {},
180 "outputs": [
181 "outputs": [
181 {
182 {
182 "output_type": "stream",
183 "output_type": "stream",
183 "stream": "stdout",
184 "stream": "stdout",
184 "text": [
185 "text": [
185 "0\n",
186 "0\n",
186 "1"
187 "1"
187 ]
188 ]
188 },
189 },
189 {
190 {
190 "output_type": "stream",
191 "output_type": "stream",
191 "stream": "stdout",
192 "stream": "stdout",
192 "text": [
193 "text": [
193 "\n",
194 "\n",
194 "2"
195 "2"
195 ]
196 ]
196 },
197 },
197 {
198 {
198 "output_type": "stream",
199 "output_type": "stream",
199 "stream": "stdout",
200 "stream": "stdout",
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201 "text": [
201 "\n",
202 "\n",
202 "3"
203 "3"
203 ]
204 ]
204 },
205 },
205 {
206 {
206 "output_type": "stream",
207 "output_type": "stream",
207 "stream": "stdout",
208 "stream": "stdout",
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210 "\n",
210 "4"
211 "4"
211 ]
212 ]
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214 {
214 "output_type": "stream",
215 "output_type": "stream",
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218 "5"
219 "5"
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226 "\n",
226 "6"
227 "6"
227 ]
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230 {
230 "output_type": "stream",
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232 "stream": "stdout",
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233 "text": [
233 "\n",
234 "\n",
234 "7"
235 "7"
235 ]
236 ]
236 },
237 },
237 {
238 {
238 "output_type": "stream",
239 "output_type": "stream",
239 "stream": "stdout",
240 "stream": "stdout",
240 "text": [
241 "text": [
241 "\n"
242 "\n"
242 ]
243 ]
243 }
244 }
244 ],
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246 "prompt_number": 6
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248 {
248 "cell_type": "heading",
249 "cell_type": "heading",
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252 "source": [
252 "Large outputs"
253 "Large outputs"
253 ]
254 ]
254 },
255 },
255 {
256 {
256 "cell_type": "markdown",
257 "cell_type": "markdown",
257 "metadata": {},
258 "metadata": {},
258 "source": [
259 "source": [
259 "To better handle large outputs, the output area can be collapsed. Run the following cell and then single- or double- click on the active area to the left of the output:"
260 "To better handle large outputs, the output area can be collapsed. Run the following cell and then single- or double- click on the active area to the left of the output:"
260 ]
261 ]
261 },
262 },
262 {
263 {
263 "cell_type": "code",
264 "cell_type": "code",
264 "collapsed": false,
265 "collapsed": false,
265 "input": [
266 "input": [
266 "for i in range(50):\n",
267 "for i in range(50):\n",
267 " print(i)"
268 " print(i)"
268 ],
269 ],
269 "language": "python",
270 "language": "python",
270 "metadata": {},
271 "metadata": {},
271 "outputs": [
272 "outputs": [
272 {
273 {
273 "output_type": "stream",
274 "output_type": "stream",
274 "stream": "stdout",
275 "stream": "stdout",
275 "text": [
276 "text": [
276 "0\n",
277 "0\n",
277 "1\n",
278 "1\n",
278 "2\n",
279 "2\n",
279 "3\n",
280 "3\n",
280 "4\n",
281 "4\n",
281 "5\n",
282 "5\n",
282 "6\n",
283 "6\n",
283 "7\n",
284 "7\n",
284 "8\n",
285 "8\n",
285 "9\n",
286 "9\n",
286 "10\n",
287 "10\n",
287 "11\n",
288 "11\n",
288 "12\n",
289 "12\n",
289 "13\n",
290 "13\n",
290 "14\n",
291 "14\n",
291 "15\n",
292 "15\n",
292 "16\n",
293 "16\n",
293 "17\n",
294 "17\n",
294 "18\n",
295 "18\n",
295 "19\n",
296 "19\n",
296 "20\n",
297 "20\n",
297 "21\n",
298 "21\n",
298 "22\n",
299 "22\n",
299 "23\n",
300 "23\n",
300 "24\n",
301 "24\n",
301 "25\n",
302 "25\n",
302 "26\n",
303 "26\n",
303 "27\n",
304 "27\n",
304 "28\n",
305 "28\n",
305 "29\n",
306 "29\n",
306 "30\n",
307 "30\n",
307 "31\n",
308 "31\n",
308 "32\n",
309 "32\n",
309 "33\n",
310 "33\n",
310 "34\n",
311 "34\n",
311 "35\n",
312 "35\n",
312 "36\n",
313 "36\n",
313 "37\n",
314 "37\n",
314 "38\n",
315 "38\n",
315 "39\n",
316 "39\n",
316 "40\n",
317 "40\n",
317 "41\n",
318 "41\n",
318 "42\n",
319 "42\n",
319 "43\n",
320 "43\n",
320 "44\n",
321 "44\n",
321 "45\n",
322 "45\n",
322 "46\n",
323 "46\n",
323 "47\n",
324 "47\n",
324 "48\n",
325 "48\n",
325 "49\n"
326 "49\n"
326 ]
327 ]
327 }
328 }
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331 {
332 {
332 "cell_type": "markdown",
333 "cell_type": "markdown",
333 "metadata": {},
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335 "source": [
335 "Beyond a certain point, output will scroll automatically:"
336 "Beyond a certain point, output will scroll automatically:"
336 ]
337 ]
337 },
338 },
338 {
339 {
339 "cell_type": "code",
340 "cell_type": "code",
340 "collapsed": false,
341 "collapsed": false,
341 "input": [
342 "input": [
342 "for i in range(500):\n",
343 "for i in range(500):\n",
343 " print(2**i - 1)"
344 " print(2**i - 1)"
344 ],
345 ],
345 "language": "python",
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853 }
854 }
854 ],
855 ],
855 "prompt_number": 8
856 "prompt_number": 8
856 },
857 },
857 {
858 {
858 "cell_type": "heading",
859 "cell_type": "heading",
859 "level": 2,
860 "level": 2,
860 "metadata": {},
861 "metadata": {},
861 "source": [
862 "source": [
862 "Capturing output with <tt>%%capture</tt>"
863 "Capturing output with <tt>%%capture</tt>"
863 ]
864 ]
864 },
865 },
865 {
866 {
866 "cell_type": "markdown",
867 "cell_type": "markdown",
867 "metadata": {},
868 "metadata": {},
868 "source": [
869 "source": [
869 "IPython has a [cell magic](Cell%20Magics.ipynb), `%%capture`, which captures the stdout/stderr of a cell. With this magic you can discard these streams or store them in a variable."
870 "IPython has a [cell magic](Cell%20Magics.ipynb), `%%capture`, which captures the stdout/stderr of a cell. With this magic you can discard these streams or store them in a variable."
870 ]
871 ]
871 },
872 },
872 {
873 {
873 "cell_type": "code",
874 "cell_type": "code",
874 "collapsed": false,
875 "collapsed": false,
875 "input": [
876 "input": [
876 "from __future__ import print_function\n",
877 "from __future__ import print_function\n",
877 "import sys"
878 "import sys"
878 ],
879 ],
879 "language": "python",
880 "language": "python",
880 "metadata": {},
881 "metadata": {},
881 "outputs": [],
882 "outputs": [],
882 "prompt_number": 9
883 "prompt_number": 9
883 },
884 },
884 {
885 {
885 "cell_type": "markdown",
886 "cell_type": "markdown",
886 "metadata": {},
887 "metadata": {},
887 "source": [
888 "source": [
888 "By default, `%%capture` discards these streams. This is a simple way to suppress unwanted output."
889 "By default, `%%capture` discards these streams. This is a simple way to suppress unwanted output."
889 ]
890 ]
890 },
891 },
891 {
892 {
892 "cell_type": "code",
893 "cell_type": "code",
893 "collapsed": false,
894 "collapsed": false,
894 "input": [
895 "input": [
895 "%%capture\n",
896 "%%capture\n",
896 "print('hi, stdout')\n",
897 "print('hi, stdout')\n",
897 "print('hi, stderr', file=sys.stderr)"
898 "print('hi, stderr', file=sys.stderr)"
898 ],
899 ],
899 "language": "python",
900 "language": "python",
900 "metadata": {},
901 "metadata": {},
901 "outputs": [],
902 "outputs": [],
902 "prompt_number": 10
903 "prompt_number": 10
903 },
904 },
904 {
905 {
905 "cell_type": "markdown",
906 "cell_type": "markdown",
906 "metadata": {},
907 "metadata": {},
907 "source": [
908 "source": [
908 "If you specify a name, then stdout/stderr will be stored in an object in your namespace."
909 "If you specify a name, then stdout/stderr will be stored in an object in your namespace."
909 ]
910 ]
910 },
911 },
911 {
912 {
912 "cell_type": "code",
913 "cell_type": "code",
913 "collapsed": false,
914 "collapsed": false,
914 "input": [
915 "input": [
915 "%%capture captured\n",
916 "%%capture captured\n",
916 "print('hi, stdout')\n",
917 "print('hi, stdout')\n",
917 "print('hi, stderr', file=sys.stderr)"
918 "print('hi, stderr', file=sys.stderr)"
918 ],
919 ],
919 "language": "python",
920 "language": "python",
920 "metadata": {},
921 "metadata": {},
921 "outputs": [],
922 "outputs": [],
922 "prompt_number": 11
923 "prompt_number": 11
923 },
924 },
924 {
925 {
925 "cell_type": "code",
926 "cell_type": "code",
926 "collapsed": false,
927 "collapsed": false,
927 "input": [
928 "input": [
928 "captured"
929 "captured"
929 ],
930 ],
930 "language": "python",
931 "language": "python",
931 "metadata": {},
932 "metadata": {},
932 "outputs": [
933 "outputs": [
933 {
934 {
934 "metadata": {},
935 "metadata": {},
935 "output_type": "pyout",
936 "output_type": "pyout",
936 "prompt_number": 12,
937 "prompt_number": 12,
937 "text": [
938 "text": [
938 "<IPython.utils.capture.CapturedIO at 0x2b9f710>"
939 "<IPython.utils.capture.CapturedIO at 0x1076c9310>"
939 ]
940 ]
940 }
941 }
941 ],
942 ],
942 "prompt_number": 12
943 "prompt_number": 12
943 },
944 },
944 {
945 {
945 "cell_type": "markdown",
946 "cell_type": "markdown",
946 "metadata": {},
947 "metadata": {},
947 "source": [
948 "source": [
948 "Calling the object writes the output to stdout/stderr as appropriate."
949 "Calling the object writes the output to stdout/stderr as appropriate."
949 ]
950 ]
950 },
951 },
951 {
952 {
952 "cell_type": "code",
953 "cell_type": "code",
953 "collapsed": false,
954 "collapsed": false,
954 "input": [
955 "input": [
955 "captured()"
956 "captured()"
956 ],
957 ],
957 "language": "python",
958 "language": "python",
958 "metadata": {},
959 "metadata": {},
959 "outputs": [
960 "outputs": [
960 {
961 {
961 "output_type": "stream",
962 "output_type": "stream",
962 "stream": "stdout",
963 "stream": "stdout",
963 "text": [
964 "text": [
964 "hi, stdout\n"
965 "hi, stdout\n"
965 ]
966 ]
966 },
967 },
967 {
968 {
968 "output_type": "stream",
969 "output_type": "stream",
969 "stream": "stderr",
970 "stream": "stderr",
970 "text": [
971 "text": [
971 "hi, stderr\n"
972 "hi, stderr\n"
972 ]
973 ]
973 }
974 }
974 ],
975 ],
975 "prompt_number": 13
976 "prompt_number": 13
976 },
977 },
977 {
978 {
978 "cell_type": "code",
979 "cell_type": "code",
979 "collapsed": false,
980 "collapsed": false,
980 "input": [
981 "input": [
981 "captured.stdout"
982 "captured.stdout"
982 ],
983 ],
983 "language": "python",
984 "language": "python",
984 "metadata": {},
985 "metadata": {},
985 "outputs": [
986 "outputs": [
986 {
987 {
987 "metadata": {},
988 "metadata": {},
988 "output_type": "pyout",
989 "output_type": "pyout",
989 "prompt_number": 14,
990 "prompt_number": 14,
990 "text": [
991 "text": [
991 "'hi, stdout\\n'"
992 "'hi, stdout\\n'"
992 ]
993 ]
993 }
994 }
994 ],
995 ],
995 "prompt_number": 14
996 "prompt_number": 14
996 },
997 },
997 {
998 {
998 "cell_type": "code",
999 "cell_type": "code",
999 "collapsed": false,
1000 "collapsed": false,
1000 "input": [
1001 "input": [
1001 "captured.stderr"
1002 "captured.stderr"
1002 ],
1003 ],
1003 "language": "python",
1004 "language": "python",
1004 "metadata": {},
1005 "metadata": {},
1005 "outputs": [
1006 "outputs": [
1006 {
1007 {
1007 "metadata": {},
1008 "metadata": {},
1008 "output_type": "pyout",
1009 "output_type": "pyout",
1009 "prompt_number": 15,
1010 "prompt_number": 15,
1010 "text": [
1011 "text": [
1011 "'hi, stderr\\n'"
1012 "'hi, stderr\\n'"
1012 ]
1013 ]
1013 }
1014 }
1014 ],
1015 ],
1015 "prompt_number": 15
1016 "prompt_number": 15
1016 },
1017 },
1017 {
1018 {
1018 "cell_type": "markdown",
1019 "cell_type": "markdown",
1019 "metadata": {},
1020 "metadata": {},
1020 "source": [
1021 "source": [
1021 "`%%capture` grabs all output types, not just stdout/stderr, so you can do plots and use IPython's display system inside `%%capture`"
1022 "`%%capture` grabs all output types, not just stdout/stderr, so you can do plots and use IPython's display system inside `%%capture`"
1022 ]
1023 ]
1023 },
1024 },
1024 {
1025 {
1025 "cell_type": "code",
1026 "cell_type": "code",
1026 "collapsed": false,
1027 "collapsed": false,
1027 "input": [
1028 "input": [
1028 "%matplotlib inline\n",
1029 "%matplotlib inline\n",
1029 "import matplotlib.pyplot as plt\n",
1030 "import matplotlib.pyplot as plt\n",
1030 "import numpy as np"
1031 "import numpy as np"
1031 ],
1032 ],
1032 "language": "python",
1033 "language": "python",
1033 "metadata": {},
1034 "metadata": {},
1034 "outputs": [],
1035 "outputs": [],
1035 "prompt_number": 16
1036 "prompt_number": 16
1036 },
1037 },
1037 {
1038 {
1038 "cell_type": "code",
1039 "cell_type": "code",
1039 "collapsed": false,
1040 "collapsed": false,
1040 "input": [
1041 "input": [
1041 "%%capture wontshutup\n",
1042 "%%capture wontshutup\n",
1042 "\n",
1043 "\n",
1043 "print(\"setting up X\")\n",
1044 "print(\"setting up X\")\n",
1044 "x = np.linspace(0,5,1000)\n",
1045 "x = np.linspace(0,5,1000)\n",
1045 "print(\"step 2: constructing y-data\")\n",
1046 "print(\"step 2: constructing y-data\")\n",
1046 "y = np.sin(x)\n",
1047 "y = np.sin(x)\n",
1047 "print(\"step 3: display info about y\")\n",
1048 "print(\"step 3: display info about y\")\n",
1048 "plt.plot(x,y)\n",
1049 "plt.plot(x,y)\n",
1049 "print(\"okay, I'm done now\")"
1050 "print(\"okay, I'm done now\")"
1050 ],
1051 ],
1051 "language": "python",
1052 "language": "python",
1052 "metadata": {},
1053 "metadata": {},
1053 "outputs": [],
1054 "outputs": [],
1054 "prompt_number": 17
1055 "prompt_number": 17
1055 },
1056 },
1056 {
1057 {
1057 "cell_type": "code",
1058 "cell_type": "code",
1058 "collapsed": false,
1059 "collapsed": false,
1059 "input": [
1060 "input": [
1060 "wontshutup()"
1061 "wontshutup()"
1061 ],
1062 ],
1062 "language": "python",
1063 "language": "python",
1063 "metadata": {},
1064 "metadata": {},
1064 "outputs": [
1065 "outputs": [
1065 {
1066 {
1066 "output_type": "stream",
1067 "output_type": "stream",
1067 "stream": "stdout",
1068 "stream": "stdout",
1068 "text": [
1069 "text": [
1069 "setting up X\n",
1070 "setting up X\n",
1070 "step 2: constructing y-data\n",
1071 "step 2: constructing y-data\n",
1071 "step 3: display info about y\n",
1072 "step 3: display info about y\n",
1072 "okay, I'm done now\n"
1073 "okay, I'm done now\n"
1073 ]
1074 ]
1074 },
1075 },
1075 {
1076 {
1076 "metadata": {},
1077 "metadata": {},
1077 "output_type": "display_data",
1078 "output_type": "display_data",
1078 "png": 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1079 "png": 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1079 "text": [
1080 "text": [
1080 "<matplotlib.figure.Figure at 0x3817cd0>"
1081 "<matplotlib.figure.Figure at 0x10866ae90>"
1081 ]
1082 ]
1082 }
1083 }
1083 ],
1084 ],
1084 "prompt_number": 18
1085 "prompt_number": 18
1085 },
1086 },
1086 {
1087 {
1087 "cell_type": "markdown",
1088 "cell_type": "markdown",
1088 "metadata": {},
1089 "metadata": {},
1089 "source": [
1090 "source": [
1090 "And you can selectively disable capturing stdout, stderr or rich display, by passing `--no-stdout`, `--no-stderr` and `--no-display`"
1091 "And you can selectively disable capturing stdout, stderr or rich display, by passing `--no-stdout`, `--no-stderr` and `--no-display`"
1091 ]
1092 ]
1092 },
1093 },
1093 {
1094 {
1094 "cell_type": "code",
1095 "cell_type": "code",
1095 "collapsed": false,
1096 "collapsed": false,
1096 "input": [
1097 "input": [
1097 "%%capture cap --no-stderr\n",
1098 "%%capture cap --no-stderr\n",
1098 "print('hi, stdout')\n",
1099 "print('hi, stdout')\n",
1099 "print(\"hello, stderr\", file=sys.stderr)"
1100 "print(\"hello, stderr\", file=sys.stderr)"
1100 ],
1101 ],
1101 "language": "python",
1102 "language": "python",
1102 "metadata": {},
1103 "metadata": {},
1103 "outputs": [
1104 "outputs": [
1104 {
1105 {
1105 "output_type": "stream",
1106 "output_type": "stream",
1106 "stream": "stderr",
1107 "stream": "stderr",
1107 "text": [
1108 "text": [
1108 "hello, stderr\n"
1109 "hello, stderr\n"
1109 ]
1110 ]
1110 }
1111 }
1111 ],
1112 ],
1112 "prompt_number": 19
1113 "prompt_number": 19
1113 },
1114 },
1114 {
1115 {
1115 "cell_type": "code",
1116 "cell_type": "code",
1116 "collapsed": false,
1117 "collapsed": false,
1117 "input": [
1118 "input": [
1118 "cap.stdout"
1119 "cap.stdout"
1119 ],
1120 ],
1120 "language": "python",
1121 "language": "python",
1121 "metadata": {},
1122 "metadata": {},
1122 "outputs": [
1123 "outputs": [
1123 {
1124 {
1124 "metadata": {},
1125 "metadata": {},
1125 "output_type": "pyout",
1126 "output_type": "pyout",
1126 "prompt_number": 20,
1127 "prompt_number": 20,
1127 "text": [
1128 "text": [
1128 "'hi, stdout\\n'"
1129 "'hi, stdout\\n'"
1129 ]
1130 ]
1130 }
1131 }
1131 ],
1132 ],
1132 "prompt_number": 20
1133 "prompt_number": 20
1133 },
1134 },
1134 {
1135 {
1135 "cell_type": "code",
1136 "cell_type": "code",
1136 "collapsed": false,
1137 "collapsed": false,
1137 "input": [
1138 "input": [
1138 "cap.stderr"
1139 "cap.stderr"
1139 ],
1140 ],
1140 "language": "python",
1141 "language": "python",
1141 "metadata": {},
1142 "metadata": {},
1142 "outputs": [
1143 "outputs": [
1143 {
1144 {
1144 "metadata": {},
1145 "metadata": {},
1145 "output_type": "pyout",
1146 "output_type": "pyout",
1146 "prompt_number": 21,
1147 "prompt_number": 21,
1147 "text": [
1148 "text": [
1148 "''"
1149 "''"
1149 ]
1150 ]
1150 }
1151 }
1151 ],
1152 ],
1152 "prompt_number": 21
1153 "prompt_number": 21
1153 },
1154 },
1154 {
1155 {
1155 "cell_type": "code",
1156 "cell_type": "code",
1156 "collapsed": false,
1157 "collapsed": false,
1157 "input": [
1158 "input": [
1158 "cap.outputs"
1159 "cap.outputs"
1159 ],
1160 ],
1160 "language": "python",
1161 "language": "python",
1161 "metadata": {},
1162 "metadata": {},
1162 "outputs": [
1163 "outputs": [
1163 {
1164 {
1164 "metadata": {},
1165 "metadata": {},
1165 "output_type": "pyout",
1166 "output_type": "pyout",
1166 "prompt_number": 22,
1167 "prompt_number": 22,
1167 "text": [
1168 "text": [
1168 "[]"
1169 "[]"
1169 ]
1170 ]
1170 }
1171 }
1171 ],
1172 ],
1172 "prompt_number": 22
1173 "prompt_number": 22
1173 }
1174 }
1174 ],
1175 ],
1175 "metadata": {}
1176 "metadata": {}
1176 }
1177 }
1177 ]
1178 ]
1178 } No newline at end of file
1179 }
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