Remove unused clip parameter

jkseppan · jkseppan · commit bfc96a656863 · 2015-09-03T15:33:12.000+03:00
Need to allow it in __call__ since colorbar can pass a value for clip.
diff --git a/lib/matplotlib/colors.py b/lib/matplotlib/colors.py
@@ -970,7 +970,7 @@ class PiecewiseLinearNorm(Normalize):
 
     Normalizes data into the ``[0.0, 1.0]`` interval.
     """
-    def __init__(self, vmin=None, vcenter=None, vmax=None, clip=False):
+    def __init__(self, vmin=None, vcenter=None, vmax=None):
         """Normalize data with an offset midpoint
 
         Useful when mapping data unequally centered around a conceptual
@@ -990,11 +990,6 @@ def __init__(self, vmin=None, vcenter=None, vmax=None, clip=False):
             The data value that defines ``1.0`` in the normalized data.
             Defaults to the the max value of the dataset.
 
-        clip : bool, optional (default is False)
-            If *clip* is True, values beyond *vmin* and *vmax* will be set
-            to ``0.0`` or ``1.0``, respectively. Otherwise, values outside
-            the ``[0.0, 1.0]`` will be returned.
-
         Examples
         --------
         >>> import matplotlib.colors as mcolors
@@ -1008,11 +1003,9 @@ def __init__(self, vmin=None, vcenter=None, vmax=None, clip=False):
         self.vmin = vmin
         self.vcenter = vcenter
         self.vmax = vmax
-        self.clip = clip
 
     def __call__(self, value, clip=None):
-        if clip is None:
-            clip = self.clip
+        """Map value to the interval [0, 1]. The clip argument is unused."""
 
         result, is_scalar = self.process_value(value)
 
@@ -1028,10 +1021,6 @@ def __call__(self, value, clip=None):
             vmin = float(vmin)
             vcenter = float(vcenter)
             vmax = float(vmax)
-            if clip:
-                mask = ma.getmask(result)
-                result = ma.array(np.clip(result.filled(vmax), vmin, vmax),
-                                  mask=mask)
 
             x, y = [vmin, vcenter, vmax], [0, 0.5, 1]
             # returns a scalar if shape == (1,)
