From 6f9251c8659521a1110382c84e269067fc98832a Mon Sep 17 00:00:00 2001
From: Jody Klymak <jklymak@gmail.com>
Date: Mon, 9 Apr 2018 15:20:11 -0700
Subject: [PATCH] MNT: Make hist2d use pcolormesh instead of pcolorfast

---
 doc/api/next_api_changes/2017-12-12-JMK.rst   |   7 +
 lib/matplotlib/axes/_axes.py                  |   4 +-
 .../baseline_images/test_axes/hist2d.pdf      | Bin 8618 -> 3422 bytes
 .../baseline_images/test_axes/hist2d.png      | Bin 8183 -> 3586 bytes
 .../baseline_images/test_axes/hist2d.svg      | 421 +++-------------
 .../test_axes/hist2d_transpose.pdf            | Bin 8946 -> 3176 bytes
 .../test_axes/hist2d_transpose.png            | Bin 8674 -> 3243 bytes
 .../test_axes/hist2d_transpose.svg            | 459 +++---------------
 lib/matplotlib/tests/test_axes.py             |  12 +-
 lib/matplotlib/tests/test_image.py            |   6 -
 10 files changed, 124 insertions(+), 785 deletions(-)
 create mode 100644 doc/api/next_api_changes/2017-12-12-JMK.rst

diff --git a/doc/api/next_api_changes/2017-12-12-JMK.rst b/doc/api/next_api_changes/2017-12-12-JMK.rst
new file mode 100644
index 000000000000..ff7af6595872
--- /dev/null
+++ b/doc/api/next_api_changes/2017-12-12-JMK.rst
@@ -0,0 +1,7 @@
+`.Axes.hist2d` now uses `~.Axes.pcolormesh` instead of `~.Axes.pcolorfast`
+--------------------------------------------------------------------------
+
+`.Axes.hist2d` now uses `~.Axes.pcolormesh` instead of `~.Axes.pcolorfast`,
+which will improve the handling of log-axes.  Note that the
+returned *image* now is of type `~.matplotlib.collections.QuadMesh`
+instead of `~.matplotlib.image.AxesImage`.
diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index 0292ccb64218..bb0402a88f8a 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -6505,7 +6505,7 @@ def hist2d(self, x, y, bins=10, range=None, normed=False, weights=None,
             The bin edges along the x axis.
         yedges : 1D array
             The bin edges along the y axis.
-        image : AxesImage
+        image : `~.matplotlib.collections.QuadMesh`
 
         Other Parameters
         ----------------
@@ -6545,7 +6545,7 @@ def hist2d(self, x, y, bins=10, range=None, normed=False, weights=None,
         if cmax is not None:
             h[h > cmax] = None
 
-        pc = self.pcolorfast(xedges, yedges, h.T, **kwargs)
+        pc = self.pcolormesh(xedges, yedges, h.T, **kwargs)
         self.set_xlim(xedges[0], xedges[-1])
         self.set_ylim(yedges[0], yedges[-1])
 
diff --git a/lib/matplotlib/tests/baseline_images/test_axes/hist2d.pdf b/lib/matplotlib/tests/baseline_images/test_axes/hist2d.pdf
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diff --git a/lib/matplotlib/tests/baseline_images/test_axes/hist2d.png b/lib/matplotlib/tests/baseline_images/test_axes/hist2d.png
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diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
index 6eae5a7227d5..7ef9445e6af0 100644
--- a/lib/matplotlib/tests/test_axes.py
+++ b/lib/matplotlib/tests/test_axes.py
@@ -1646,7 +1646,8 @@ def test_contour_colorbar():
     cbar.add_lines(cs2, erase=False)
 
 
-@image_comparison(baseline_images=['hist2d', 'hist2d'])
+@image_comparison(baseline_images=['hist2d', 'hist2d'],
+        remove_text=True, style='mpl20')
 def test_hist2d():
     np.random.seed(0)
     # make it not symmetric in case we switch x and y axis
@@ -1654,16 +1655,17 @@ def test_hist2d():
     y = np.random.randn(100)-2
     fig = plt.figure()
     ax = fig.add_subplot(111)
-    ax.hist2d(x, y, bins=10)
+    ax.hist2d(x, y, bins=10, rasterized=True)
 
     # Reuse testcase from above for a labeled data test
     data = {"x": x, "y": y}
     fig = plt.figure()
     ax = fig.add_subplot(111)
-    ax.hist2d("x", "y", bins=10, data=data)
+    ax.hist2d("x", "y", bins=10, data=data, rasterized=True)
 
 
-@image_comparison(baseline_images=['hist2d_transpose'])
+@image_comparison(baseline_images=['hist2d_transpose'],
+        remove_text=True, style='mpl20')
 def test_hist2d_transpose():
     np.random.seed(0)
     # make sure the output from np.histogram is transposed before
@@ -1672,7 +1674,7 @@ def test_hist2d_transpose():
     y = np.random.randn(100)-2
     fig = plt.figure()
     ax = fig.add_subplot(111)
-    ax.hist2d(x, y, bins=10)
+    ax.hist2d(x, y, bins=10, rasterized=True)
 
 
 @image_comparison(baseline_images=['scatter', 'scatter'])
diff --git a/lib/matplotlib/tests/test_image.py b/lib/matplotlib/tests/test_image.py
index a1feed5e4dca..82c44ffad0ca 100644
--- a/lib/matplotlib/tests/test_image.py
+++ b/lib/matplotlib/tests/test_image.py
@@ -586,12 +586,6 @@ def test_pcolorimage_setdata():
     assert im._A[0, 0] == im._Ax[0] == im._Ay[0] == 0, 'value changed'
 
 
-def test_pcolorimage_extent():
-    im = plt.hist2d([1, 2, 3], [3, 5, 6],
-                    bins=[[0, 3, 7], [1, 2, 3]])[-1]
-    assert im.get_extent() == (0, 7, 1, 3)
-
-
 def test_minimized_rasterized():
     # This ensures that the rasterized content in the colorbars is
     # only as thick as the colorbar, and doesn't extend to other parts