5.20 - Numpy Operations

In [1]:

    

import numpy as np


    

In [2]:

    

arr = np.arange(0,11)


    

In [3]:

    

arr


    

    
Out[3]:





array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])

In [4]:

    

arr + arr


    

    
Out[4]:





array([ 0,  2,  4,  6,  8, 10, 12, 14, 16, 18, 20])

In [5]:

    

arr - arr


    

    
Out[5]:





array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])

In [14]:

    

arr * arr


    

    
Out[14]:





array([  0,   1,   4,   9,  16,  25,  36,  49,  64,  81, 100])

In [15]:

    

arr / arr # world a splode?


    

    




/home/iannesbitt/bin/.ve/main/lib/python2.7/site-packages/ipykernel/__main__.py:1: RuntimeWarning: divide by zero encountered in divide
  if __name__ == '__main__':






    
Out[15]:





array([0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])

In [12]:

    

arr + 100


    

    
Out[12]:





array([   0,  100,  200,  300,  400,  500,  600,  700,  800,  900, 1000])

In [13]:

    

arr * 100


    

    
Out[13]:





array([   0,  100,  200,  300,  400,  500,  600,  700,  800,  900, 1000])

In [16]:

    

arr - 100


    

    
Out[16]:





array([-100,  -99,  -98,  -97,  -96,  -95,  -94,  -93,  -92,  -91,  -90])

In [17]:

    

arr / 5.0


    

    
Out[17]:





array([ 0. ,  0.2,  0.4,  0.6,  0.8,  1. ,  1.2,  1.4,  1.6,  1.8,  2. ])

In [18]:

    

1 / arr


    

    




/home/iannesbitt/bin/.ve/main/lib/python2.7/site-packages/ipykernel/__main__.py:1: RuntimeWarning: divide by zero encountered in divide
  if __name__ == '__main__':






    
Out[18]:





array([0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0])

In [20]:

    

arr ** arr # well that escalated quickly


    

    
Out[20]:





array([          1,           1,           4,          27,         256,
              3125,       46656,      823543,    16777216,   387420489,
       10000000000])

In [34]:

    

np.sqrt(arr)


    

    
Out[34]:





array([ 0.        ,  1.        ,  1.41421356,  1.73205081,  2.        ,
        2.23606798,  2.44948974,  2.64575131,  2.82842712,  3.        ,
        3.16227766])

In [22]:

    

np.exp(arr)


    

    
Out[22]:





array([  1.00000000e+00,   2.71828183e+00,   7.38905610e+00,
         2.00855369e+01,   5.45981500e+01,   1.48413159e+02,
         4.03428793e+02,   1.09663316e+03,   2.98095799e+03,
         8.10308393e+03,   2.20264658e+04])

In [26]:

    

np.max(arr) # same as below, but passing the array directly to the max() function


    

    
Out[26]:





10

In [27]:

    

arr.max() # same as above, but calling method off of array object


    

    
Out[27]:





10

In [32]:

    

np.sin(arr) # also np.cos(), np.tan(), np.arccos(), etc


    

    
Out[32]:





array([ 0.        ,  0.84147098,  0.90929743,  0.14112001, -0.7568025 ,
       -0.95892427, -0.2794155 ,  0.6569866 ,  0.98935825,  0.41211849,
       -0.54402111])

In [33]:

    

np.log(arr) # sploded


    

    




/home/iannesbitt/bin/.ve/main/lib/python2.7/site-packages/ipykernel/__main__.py:1: RuntimeWarning: divide by zero encountered in log
  if __name__ == '__main__':






    
Out[33]:





array([       -inf,  0.        ,  0.69314718,  1.09861229,  1.38629436,
        1.60943791,  1.79175947,  1.94591015,  2.07944154,  2.19722458,
        2.30258509])

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