-
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
-
numpy.ma.maximum_fill_value()
2017-01-10 18:15:40
Please login to continue.