numpy.ma.minimum_fill_value#

ma.minimum_fill_value(obj)[source]#

Return the maximum value that can be represented by the dtype of an object.

This function is useful for calculating a fill value suitable for taking the minimum of an array with a given dtype.

Parameters:

objndarray, dtype or scalar: An object that can be queried for it’s numeric type.

Returns:

valscalar: The maximum representable value.

Raises:

TypeError: If obj isn’t a suitable numeric type.

See also

maximum_fill_value: The inverse function.
set_fill_value: Set the filling value of a masked array.
MaskedArray.fill_value: Return current fill value.

Examples

>>> import numpy as np
>>> import numpy.ma as ma
>>> a = np.int8()
>>> ma.minimum_fill_value(a)
127
>>> a = np.int32()
>>> ma.minimum_fill_value(a)
2147483647

An array of numeric data can also be passed.

>>> a = np.array([1, 2, 3], dtype=np.int8)
>>> ma.minimum_fill_value(a)
127
>>> a = np.array([1, 2, 3], dtype=np.float32)
>>> ma.minimum_fill_value(a)
inf