### Navigation

- index
- modules |
- modules |
- next |
- previous |
- NumPy v1.5 Manual (DRAFT) »
- NumPy Reference »
- Routines »
- Masked array operations »

# numpy.ma.allequal

`numpy.ma.``allequal`(a, b, fill_value=True)

  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, b : array_like Input arrays to compare. fill_value : bool, optional Whether masked values in a or b are considered equal (True) or not (False).
  Returns : | y : bool 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

  `all`, `any`, `numpy.ma.allclose`

  Examples

      >>> a = 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 = array([1e10, 1e-7, -42.0])
      >>> b
      array([  1.00000000e+10,   1.00000000e-07,  -4.20000000e+01])
      >>> ma.allequal(a, b, fill_value=False)
      False
      >>> ma.allequal(a, b)
      True

### Navigation

- index
- modules |
- modules |
- next |
- previous |
- NumPy v1.5 Manual (DRAFT) »
- NumPy Reference »
- Routines »
- Masked array operations »