In [2]:

    

import numpy as np
import matplotlib.pyplot as pp


    

In [2]:

    

a = np.array([1,2,3,4,5])
a


    

    
Out[2]:





array([1, 2, 3, 4, 5])

In [3]:

    

a.dtype


    

    
Out[3]:





dtype('int64')

In [4]:

    

a = np.array([1,2,3,4,5],dtype=np.float64)
a


    

    
Out[4]:





array([ 1.,  2.,  3.,  4.,  5.])

In [5]:

    

a.ndim, a.shape, a.size


    

    
Out[5]:





(1, (5,), 5)

In [6]:

    

b = np.array([[1,2,3,4,5],[6,7,8,9,10]],dtype=np.float64)


    

In [7]:

    

b


    

    
Out[7]:





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

In [8]:

    

b.dtype


    

    
Out[8]:





dtype('float64')

In [9]:

    

b.ndim, b.shape, b.size


    

    
Out[9]:





(2, (2, 5), 10)

In [10]:

    

np.zeros((3,3),'d')


    

    
Out[10]:





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

In [11]:

    

np.empty((4,4),'d')


    

    
Out[11]:





array([[  0.00000000e+000,   0.00000000e+000,   1.77863633e-322,
          0.00000000e+000],
       [  0.00000000e+000,   0.00000000e+000,   0.00000000e+000,
          0.00000000e+000],
       [  0.00000000e+000,   0.00000000e+000,   0.00000000e+000,
          0.00000000e+000],
       [  2.12215770e-314,   1.97626258e-323,   0.00000000e+000,
          0.00000000e+000]])

In [4]:

    

np.linspace(0,10,2)


    

    
Out[4]:





array([  0.,  10.])

In [13]:

    

np.arange(0,10,2)


    

    
Out[13]:





array([0, 2, 4, 6, 8])

In [14]:

    

np.random.standard_normal((2,4))


    

    
Out[14]:





array([[ 1.23440627, -0.39035196,  0.18185496,  1.56869647],
       [ 0.74160254,  0.15619149,  0.79453644, -0.65878599]])

In [15]:

    

a = np.random.standard_normal((2,3))
b = np.random.standard_normal((2,3))

np.vstack([a,b])


    

    
Out[15]:





array([[ 1.26328274, -1.90693522,  0.00379105],
       [-0.37768188, -0.34070629, -1.31688553],
       [-1.66929909,  0.82002641, -0.45799134],
       [-0.03446812,  0.11392679,  2.6503177 ]])

In [16]:

    

np.hstack([a,b])


    

    
Out[16]:





array([[ 1.26328274, -1.90693522,  0.00379105, -1.66929909,  0.82002641,
        -0.45799134],
       [-0.37768188, -0.34070629, -1.31688553, -0.03446812,  0.11392679,
         2.6503177 ]])

In [17]:

    

a.transpose()


    

    
Out[17]:





array([[ 1.26328274, -0.37768188],
       [-1.90693522, -0.34070629],
       [ 0.00379105, -1.31688553]])

In [18]:

    

np.save('example.npy',a)


    

In [19]:

    

a1 = np.load('example.npy')


    

In [20]:

    

a1


    

    
Out[20]:





array([[ 1.26328274, -1.90693522,  0.00379105],
       [-0.37768188, -0.34070629, -1.31688553]])

In [ ]: