allequal(a, b, fill_value=True)

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.

Return True if all entries of a and b are equal, using fill_value as a truth value where either or both are masked.

See Also

all

any

numpy.ma.allclose

Examples

This example is valid syntax, but we were not able to check execution

>>> 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)

This example is valid syntax, but we were not able to check execution

>>> b = np.array([1e10, 1e-7, -42.0])
... b
array([  1.00000000e+10,   1.00000000e-07,  -4.20000000e+01])

This example is valid syntax, but we were not able to check execution

>>> np.ma.allequal(a, b, fill_value=False)
False

This example is valid syntax, but we were not able to check execution

>>> np.ma.allequal(a, b)
True

See :

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GitHub : /numpy/ma/core.py#7744
type: <class 'function'>
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