NumPy and Matplotlib examples

First import NumPy and Matplotlib:



In [1]:

    
%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))



In [7]:

    
a.shape









    Out[7]:





(100, 100)



In [8]:

    
evs = np.linalg.eigvals(a)



In [10]:

    
evs.shape









    Out[10]:





(100,)

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



In [14]:

    
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 testing whether an ASCIIDoc quirk is caught and whether header links are rendered even if they don't resolve correctly now.

one test two tests. three tests