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# numpy.ma.masked_values

`numpy.ma.``masked_values`(x, value, rtol=1.0000000000000001e-05, atol=1e-08, copy=True, shrink=True)

  Mask the array x where the data are approximately equal in value, i.e. `(abs(x - value) <= atol+rtol*abs(value))`

  Suitable only for floating points. For integers, please use `masked_equal`. The mask is set to `nomask` if posible.

  Parameters: | x : array_like Array to fill. value : float Masking value. rtol : {float}, optional Tolerance parameter. atol : {float}, optional Tolerance parameter (1e-8). copy : {True, False}, optional Whether to return a copy of x. shrink : {True, False}, optional Whether to collapse a mask full of False to nomask

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