check_valid_y
Functions
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Ensure y is a non-empty Pandas series or Numpy array, and raise errors according to conditions of failed check |
Module Contents
- check_valid_y.check_valid_y(y, order)
Ensure y is a non-empty Pandas series or Numpy array, and raise errors according to conditions of failed check
- Parameters:
(Any) (y)
(Str) (order)
Raises
TypeError (If y is of an unsupported type)
ValueError (If y is an empty Pandas series or Numpy array)
Returns
None
Examples
>>> check_valid_y(np.empty(0), 'second')