NumPy and Matplotlib examples

First import NumPy and Matplotlib:



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%pylab inline









    



Welcome to pylab, a matplotlib-based Python environment [backend: module://ipykernel.pylab.backend_inline].
For more information, type 'help(pylab)'.



In [2]:

    
import numpy as np

Now we show some very basic examples of how they can be used.



In [6]:

    
a = np.random.uniform(size=(100,100))



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a.shape









    Out[7]:





(100, 100)



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evs = np.linalg.eigvals(a)



In [10]:

    
evs.shape









    Out[10]:





(100,)

Here is a cell that has both text and PNG output:



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hist(evs.real)









    Out[14]:





(array([95,  4,  0,  0,  0,  0,  0,  0,  0,  1]),
 array([ -2.93566063,   2.35937011,   7.65440086,  12.9494316 ,
        18.24446235,  23.53949309,  28.83452384,  34.12955458,
        39.42458533,  44.71961607,  50.01464682]),
 <a list of 10 Patch objects>)

This cell is just markdown for testing whether an ASCIIDoc quirk is caught.

one test two tests. three tests



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