numpy.who() function in Python
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 npimport numpy as np # dictionary containing numpy ndarraysgfg = {'arr_1': np.arange(3), 'arr_2': np.arange(6), 'name': 'some text', 'number': 34523} # passing the dict as argumentnp.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 npimport numpy as np # creating numpy ndarraysx = np.arange(20)y = np.ones(5)z = np.zeros(10) # function called without passing any argumentnp.who() |
Output:
