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numpy.who() function in Python

  • Last Updated : 05 Sep, 2020

numpy.who(vardict=None) function prints the Numpy ndarrays in the given dictionary. If there is no dictionary passed in or vardict is None then prints NumPy arrays in the globals() dictionary.

Parameters:

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vardict: A dictionary possibly containing ndarrays. Default is globals().



Returns:

out: None

Note: It prints out the name, shape, bytes and type of all of the ndarrays present in vardict but returns none.

Example #1: In this example a dictionary is passed as argument to the numpy.who() function.

Python3




# import the numpy module as np
import numpy as np
  
# dictionary containing numpy ndarrays
gfg = {'arr_1': np.arange(3), 'arr_2': np.arange(6),
       'name': 'some text', 'number': 34523}
  
# passing the dict as argument
np.who(gfg)

Output:

Example #2: In this example no argument is passed to the numpy.who() function so it prints ndarray in globals() dictionary.

Python3




# import the numpy module as np
import numpy as np
  
# creating numpy ndarrays
x = np.arange(20)
y = np.ones(5)
z = np.zeros(10)
  
# function called without passing any argument
np.who()

Output:




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