numpy.ma.maximum_fill_value¶
- numpy.ma.maximum_fill_value(obj)[source]¶
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