Python Numpy ndarray flatten()
Description :
Example :
NumPy generally stands for Numerical Python and it is a general purpose array processing package.it always provides a high performance multidimensional array object. Numpy is usually for creating an array of n dimensions.
Method Name :numpy_array.flatten(order=’C’)
Description :By this function we can flatten a matrix to one dimension in python returns a copy of an
array.
Method Name :matrix.ravel()
Description :By this function we can get the flattened matrix from a given matrix.
In this article, I will tell you about the parameter and its description
Parameter Name: order
Description :'C'− row-major (default. 'F': column-major 'A': flatten in column-major order, if a is Fortran contiguous in memory, row-major order otherwise 'K': flatten a in the order the elements occur in the memory.
Return :Flattened 1-D matrix
The first step would be to give syntax
command:
numpy_array.flatten(order=’C’)
Example :
Code :
import numpy as np
a = np.arange(16).reshape(4,4)
print ('The original array is:' )
print (a )
print ('\n')
# default is column-major
print ('The flattened array is:' )
print (a.flatten() )
print ('\n' )
print ('The flattened array in F-style ordering:')
print (a.flatten(order = 'F'))
Output :
Example :Code :
import numpy as np
# make a matrix with numpy
gfg = np.matrix('[1, 2, 3; 4, 5, 6; 7, 8, -9]')
# applying matrix.ravel() method
abc = gfg.ravel()
print(abc)
Output :
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