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 its numeric type.

Returns:

valscalar

The maximum representable value.

Raises:

TypeError

If obj isnt 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

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>>> 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

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