On this page
numpy.ma.allequal
- numpy.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
© 2005–2020 NumPy Developers
Licensed under the 3-clause BSD License.
 https://numpy.org/doc/1.19/reference/generated/numpy.ma.allequal.html