Numpy----np. reshape()

Learning goals ：

master np.reshape() function
When it comes to redefining shapes , Pay attention to some grammar ：

import numpy as np
a = np.arange(1,17).reshape(4,4) # Definition 4 That's ok 4 Column 1 To 16 Array of 
print(" The original array is ：\n",a)
# Will array a Redefined as （2,8） Array of 
# Method 1 
b1 = a.reshape(2,8)
print("b1 As the result of the ：\n",b1)
# Method 2 
b2 = np.reshape(a,(2,8))
print("b2 As the result of the ：\n",b2)

of np.reshape(A,(-1)) Several situations of

‘ See code for details ’

print("***********************")
import numpy as np
z = np.arange(1,17).reshape(4,4)
print(" Turn elements into a column （ A two-dimensional ）")
print(np.reshape(z,(-1,1)))
print(" Turn the element into a line ( A two-dimensional )")
print(np.reshape(z,(1,-1)))
print(" Change an element into a string （ A one-dimensional ）")
print(np.reshape(z,(-1)))
print("***********************")

It is mainly to flatten the given array into the form we need ！！！！