In [ ]:

    

%matplotlib inline
from matplotlib import pyplot as plt
import seaborn as sns


    

In [4]:

    

import antipackage
from github.ellisonbg.misc import vizarray as va


    

In [5]:

    

import numpy as np


    

In [15]:

    

data = [0.0,2,4,6,10,12,100]
a = np.array(data)


    

In [16]:

    

type(a)


    

    
Out[16]:





numpy.ndarray

In [17]:

    

a


    

    
Out[17]:





array([   0.,    2.,    4.,    6.,   10.,   12.,  100.])

In [18]:

    

va.vizarray(a)


    

    
Out[18]:

In [19]:

    

a.shape


    

    
Out[19]:





(7,)

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a.ndim


    

    
Out[20]:





1

In [21]:

    

a.size


    

    
Out[21]:





7

In [22]:

    

a.nbytes


    

    
Out[22]:





56

In [23]:

    

a.dtype


    

    
Out[23]:





dtype('float64')

In [36]:

    

data = [5,5,5,5,2,2,2,2,2,2,2],[5,5,5,5,0,0,0,0,0,0,0],[5,5,5,5,2,2,2,2,2,2,2],[5,5,5,5,0,0,0,0,0,0,0],[2,2,2,2,2,2,2,2,2,2,2],[0,0,0,0,0,0,0,0,0,0,0],[2,2,2,2,2,2,2,2,2,2,2],[0,0,0,0,0,0,0,0,0,0,0]
b = np.array(data)


    

In [37]:

    

b


    

    
Out[37]:





array([[5, 5, 5, 5, 2, 2, 2, 2, 2, 2, 2],
       [5, 5, 5, 5, 0, 0, 0, 0, 0, 0, 0],
       [5, 5, 5, 5, 2, 2, 2, 2, 2, 2, 2],
       [5, 5, 5, 5, 0, 0, 0, 0, 0, 0, 0],
       [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2],
       [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
       [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2],
       [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]])

In [38]:

    

va.vizarray(b)


    

    
Out[38]:

In [39]:

    

b.shape,b.ndim,b.size,b.nbytes


    

    
Out[39]:





((8, 11), 2, 88, 704)

In [ ]:

    

c = np.arange