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
objisn’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
 
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    https://numpy.org/doc/1.21/reference/generated/numpy.ma.minimum_fill_value.html