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.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