In [1]:

    

%matplotlib inline
from matplotlib import pyplot as plt
import seaborn as sns
import antipackage 
from github.ellisonbg.misc import vizarray as va
import numpy as np


    

    




Downloading:  https://raw.githubusercontent.com/ellisonbg/misc/master/vizarray.py
Using existing version:  github.ellisonbg.misc.vizarray

In [5]:

    

c = np.arange(0.0, 10.0, 1.0)
c


    

    
Out[5]:

In [6]:

    

e = np.linspace(0.0, 5.0, 11)
e
len(e)


    

    
Out[6]:





11

In [7]:

    

a = np.array([0,1,2,3])
a, a.dtype


    

    
Out[7]:





(array([0, 1, 2, 3]), dtype('int64'))

In [8]:

    

a = np.empty((3,3))
a.fill(0.1)
a


    

    
Out[8]:

In [9]:

    

b = np.ones((3,3))
b


    

    
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In [10]:

    

a+b


    

    
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In [11]:

    

a = np.random.rand(10,10)
a


    

    
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In [12]:

    

np.round(a,2)


    

    
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In [13]:

    

a[0,0]


    

    
Out[13]:





0.71191231202550531

In [14]:

    

a[9,9]


    

    
Out[14]:





0.77102897400984383

In [15]:

    

a[1,:]


    

    
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In [16]:

    

a[-8,]


    

    
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In [17]:

    

b = np.array([1,2,3,4])
b


    

    
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In [18]:

    

b[-1]


    

    
Out[18]:





4

In [19]:

    

b[-3]


    

    
Out[19]:





2

In [20]:

    

ages = np.array([23,56,67,89,23,56,27,12,8,72])
genders = np.array(['m','m','f','f','m','f','m','m','m','f'])


    

In [21]:

    

ages > 30


    

    
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In [22]:

    

mask = (genders == 'f')
ages[mask]


    

    
Out[22]:

In [23]:

    

a = np.random.rand(3,4)
a


    

    
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In [24]:

    

a.T


    

    
Out[24]:

In [25]:

    

a.shape


    

    
Out[25]:





(3, 4)

In [26]:

    

a.size


    

    
Out[26]:





12

In [27]:

    

a.dim


    

    




---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-27-71f4bf5f17ce> in <module>()
----> 1 a.dim

AttributeError: 'numpy.ndarray' object has no attribute 'dim'

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a.dtype


    

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a.reshape(2,6)


    

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a.reshape(6,2)


    

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a.reshape(12,1)


    

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a.ravel()


    

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a


    

In [28]:

    

va.disable()


    

In [2]:

    

va.set_block_size(5)
va.enable()
t = np.linspace(0.0, 4*np.pi, 100)
t


    

    
Out[2]:

In [31]:

    

np.sin(t)


    

    
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In [33]:

    

np.exp(np.sqrt(t))


    

    
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In [34]:

    

va.disable()
va.set_block_size(30)


    

In [3]:

    

plt.plot(t, np.exp(-0.1*t)*np.sin(t))


    

    
Out[3]:





[<matplotlib.lines.Line2D at 0x7f4ceb8e1b50>]






    

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