numpy.ma.allequal
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numpy.ma.allequal(a, b, fill_value=True)
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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
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a, barray_like
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Input arrays to compare.
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fill_valuebool, optional
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Whether masked values in a or b are considered equal (True) or not (False).
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- Returns
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ybool
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Returns True if the two arrays are equal within the given tolerance, False otherwise. If either array contains NaN, then False is returned.
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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
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https://numpy.org/doc/1.19/reference/generated/numpy.ma.allequal.html