07a9450b407ee5dc89b82e388840d510b009ef3e,lib/matplotlib/scale.py,LogitTransform,transform_non_affine,#LogitTransform#Any#,441

Before Change

    def transform_non_affine(self, a):
        logit transform (base 10), masked or clipped
        with np.errstate(invalid="ignore"):
            a = np.select(
                [a <= 0, a >= 1], [self._fill_value, 1 - self._fill_value], a)
        return np.log10(a / (1 - a))

    def inverted(self):
        return LogisticTransform(self._nonpos)

After Change

    def transform_non_affine(self, a):
        logit transform (base 10), masked or clipped
        with np.errstate(divide="ignore", invalid="ignore"):
            out = np.log10(a / (1 - a))
        if self._clip:  // See LogTransform for choice of clip value.
            out[a <= 0] = -1000
            out[1 <= a] = 1000
        return out

    def inverted(self):

Instances