SciPy

numpy.ma.maximum_fill_valueΒΆ

numpy.ma.maximum_fill_value(obj)[source]ΒΆ

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

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

Parameters:

obj : {ndarray, dtype}

An object that can be queried for it’s numeric type.

Returns:

val : scalar

The minimum representable value.

Raises:

TypeError

If obj isn’t a suitable numeric type.

See also

minimum_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.ma as ma
>>> a = np.int8()
>>> ma.maximum_fill_value(a)
-128
>>> a = np.int32()
>>> ma.maximum_fill_value(a)
-2147483648

An array of numeric data can also be passed.

>>> a = np.array([1, 2, 3], dtype=np.int8)
>>> ma.maximum_fill_value(a)
-128
>>> a = np.array([1, 2, 3], dtype=np.float32)
>>> ma.maximum_fill_value(a)
-inf