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who(vardict=None)

If there is no dictionary passed in or :None:None:`vardict` is None then returns NumPy arrays in the globals() dictionary (all NumPy arrays in the namespace).

Notes

Prints out the name, shape, bytes and type of all of the ndarrays present in :None:None:`vardict`.

Parameters

vardict : dict, optional

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

Returns

out : None

Returns 'None'.

Print the NumPy arrays in the given dictionary.

Examples

>>> a = np.arange(10)
... b = np.ones(20)
... np.who() Name Shape Bytes Type =========================================================== a 10 80 int64 b 20 160 float64 Upper bound on total bytes = 240
>>> d = {'x': np.arange(2.0), 'y': np.arange(3.0), 'txt': 'Some str',
... 'idx':5}
... np.who(d) Name Shape Bytes Type =========================================================== x 2 16 float64 y 3 24 float64 Upper bound on total bytes = 40
See :

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GitHub : /numpy/lib/utils.py#285
type: <class 'function'>
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