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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
- 
      - objndarray, dtype or scalar
- 
        An object that can be queried for it’s numeric type. 
 
- Returns
- 
      - valscalar
- 
        The minimum representable value. 
 
- Raises
- 
      - TypeError
- 
        If objisn’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) -2147483648An 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
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 https://numpy.org/doc/1.19/reference/generated/numpy.ma.maximum_fill_value.html