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Numpy size() function | Python
  • Last Updated : 24 Nov, 2020
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In Python, numpy.size() function count the number of elements along a given axis.
 

Synatx: numpy.size(arr, axis=None)
Parameters: 
arr: [array_like] Input data. 
axis: [int, optional] Axis(x,y,z) along which the elements(rows or columns) are counted. By default, give the total number of elements in a array
Returns: [int] Return the number of elements along a given axis. 
 

Code #1 : 
 

Python3




# Python program explaining
# numpy.size() method
 
# importing numpy
import numpy as np
 
# Making a random array
arr = np.array([[1, 2, 3, 4], [5, 6, 7, 8]])
 
# By default, give the total number of elements.
print(np.size(arr))
Output: 
8



 

  
Code #2 : 
 



Python3




# Python program explaining
# numpy.size() method
 
# importing numpy
import numpy as np
 
# Making a random array
arr = np.array([[1, 2, 3, 4], [5, 6, 7, 8]])
 
# count the number of elements along the axis.
# Here rows and colums are being treated
# as elements
 
#gives no. of rows along x-axis
print(np.size(arr, 0))
 
#gives no. of columns along y-axis
print(np.size(arr, 1))
Output: 
2
4



 

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