ENH: use hanning instead of lanczos

jklymak · jklymak · commit af9b9a784aa5 · 2019-03-22T08:06:25.000-07:00
diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
@@ -5436,7 +5436,7 @@ def imshow(self, X, cmap=None, norm=None, aspect=None,
                interpolation=None, alpha=None, vmin=None, vmax=None,
                origin=None, extent=None, shape=None, filternorm=1,
                filterrad=4.0, imlim=None, resample=None,
-               antialiased=True, url=None, **kwargs):
+               url=None, antialiased=True, **kwargs):
         """
         Display an image, i.e. data on a 2D regular raster.
 
diff --git a/lib/matplotlib/image.py b/lib/matplotlib/image.py
@@ -441,9 +441,10 @@ def _make_image(self, A, in_bbox, out_bbox, clip_bbox, magnification=1.0,
                 A_scaled += 0.1
                 A_resampled = np.zeros((out_height, out_width),
                                        dtype=A_scaled.dtype)
-                if self.get_antialiased() and A.shape[0] > out_height:
-                    self.set_interpolation('lanczos')
-                    self.set_filterrad(3.0 * A.shape[0] / out_height )
+                if (self.get_interpolation() == 'nearest' and
+                        self.get_antialiased() and
+                        A.shape[0] > 0.5 * out_height):
+                    self.set_interpolation('hanning')
 
                 # resample the input data to the correct resolution and shape
                 _image.resample(A_scaled, A_resampled,
@@ -1291,8 +1292,8 @@ def __init__(self, bbox,
                  filternorm=1,
                  filterrad=4.0,
                  resample=False,
-                 antialiased=True,
                  interp_at_native=True,
+                 antialiased=True,
                  **kwargs
                  ):
         """
