numpy.isnan() in Python

numpy.full() in Python

Last Updated : 09 Mar, 2022

numpy.full(shape, fill_value, dtype = None, order = ‘C’) : Return a new array with the same shape and type as a given array filled with a fill_value.
Parameters :

shape      : Number of rows
order      : C_contiguous or F_contiguous
dtype      : [optional, float(by Default)] Data type of returned array.  
fill_value : [bool, optional] Value to fill in the array.

Returns :

ndarray

# Python Programming illustrating 
# numpy.full method 
  
import numpy as geek 
  
a = geek.full([2, 2], 67, dtype = int) 
print("\nMatrix a : \n", a) 
  
c = geek.full([3, 3], 10.1) 
print("\nMatrix c : \n", c) 

Output :

Matrix a : 
 [[67 67]
 [67 67]]

Matrix c : 
 [[ 10.1  10.1  10.1]
 [ 10.1  10.1  10.1]
 [ 10.1  10.1  10.1]]

References :
https://docs.scipy.org/doc/numpy/reference/generated/numpy.full.html#numpy.full
Note :
These NumPy-Python programs won’t run on online IDE’s, so run them on your systems to explore them
.

numpy.isnan() in Python

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