numpy.ma.allequal#
- ma.allequal(a, b, fill_value=True)[source]#
Return True if all entries of a and b are equal, using fill_value as a truth value where either or both are masked.
- Parameters:
- a, barray_like
Input arrays to compare.
- fill_valuebool, optional
Whether masked values in a or b are considered equal (True) or not (False).
- Returns:
- ybool
Returns True if the two arrays are equal within the given tolerance, False otherwise. If either array contains NaN, then False is returned.
See also
Examples
>>> a = np.ma.array([1e10, 1e-7, 42.0], mask=[0, 0, 1]) >>> a masked_array(data=[10000000000.0, 1e-07, --], mask=[False, False, True], fill_value=1e+20)
>>> b = np.array([1e10, 1e-7, -42.0]) >>> b array([ 1.00000000e+10, 1.00000000e-07, -4.20000000e+01]) >>> np.ma.allequal(a, b, fill_value=False) False >>> np.ma.allequal(a, b) True