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Merge pull request #1399 from asmeurer/sympyprinting...
Merge pull request #1399 from asmeurer/sympyprinting Use LaTeX to display, on output, various built-in types with the SymPy printing extension. SymPy's latex() function supports printing lists, tuples, and dicts using latex notation (it uses bmatrix, pmatrix, and Bmatrix, respectively). This provides a more unified experience with SymPy functions that return these types (such as solve()). Also display ints, longs, and floats using LaTeX, to get a more unified printing experience (so that, e.g., x/x will print the same as just 1). The string form can always be obtained by manually calling the actual print function, or 2d unicode printing using pprint(). SymPy's latex() function doesn't treat set() or frosenset() correctly presently (see http://code.google.com/p/sympy/issues /detail?id=3062), so for the present, we leave those alone.

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phistogram.py
40 lines | 1.2 KiB | text/x-python | PythonLexer
"""Parallel histogram function"""
import numpy
from IPython.parallel import Reference
def phistogram(view, a, bins=10, rng=None, normed=False):
"""Compute the histogram of a remote array a.
Parameters
----------
view
IPython DirectView instance
a : str
String name of the remote array
bins : int
Number of histogram bins
rng : (float, float)
Tuple of min, max of the range to histogram
normed : boolean
Should the histogram counts be normalized to 1
"""
nengines = len(view.targets)
# view.push(dict(bins=bins, rng=rng))
with view.sync_imports():
import numpy
rets = view.apply_sync(lambda a, b, rng: numpy.histogram(a,b,rng), Reference(a), bins, rng)
hists = [ r[0] for r in rets ]
lower_edges = [ r[1] for r in rets ]
# view.execute('hist, lower_edges = numpy.histogram(%s, bins, rng)' % a)
lower_edges = view.pull('lower_edges', targets=0)
hist_array = numpy.array(hists).reshape(nengines, -1)
# hist_array.shape = (nengines,-1)
total_hist = numpy.sum(hist_array, 0)
if normed:
total_hist = total_hist/numpy.sum(total_hist,dtype=float)
return total_hist, lower_edges