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.

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