Tag: How To Get Unique Items And Counts In Numpy ?


  • How To Get Unique Items And Counts In Numpy ?

    How To Get Unique Items And Counts In Numpy ?

    How To Get Unique Items And Counts In Numpy ? Table Of Contents: np.unique() Examples Of ‘np.unique( )’ (1) np.unique() Returns the sorted unique elements of an array. You can also get the unique element counts. Syntax: numpy.unique(ar, return_index=False, return_inverse=False, return_counts=False, axis=None, *, equal_nan=True) Parameters: ar: array_like – Input array. Unless axis is specified, this will be flattened if it is not already 1-D. return_index: bool, optional – If True, also return the indices of ar (along the specified axis, if provided, or in the flattened array) that result in the unique array. return_inverse: bool, optional – If True, also return the indices of

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