backport: Merge pull request #7416 from NelleV/7315_spectral

efiring · efiring · commit f87100a02b4b · 2016-11-09T19:58:04.000-10:00
MAINT deprecated 'spectral' in favor of 'nipy_spectral' boilerplate.py was run after using 'git cherry-pick -n -m1 660aa65'
diff --git a/boilerplate.py b/boilerplate.py
@@ -87,6 +87,27 @@ def {name}():
 
 """
 
+CMAP_TEMPLATE_DEPRECATED = AUTOGEN_MSG + """
+def {name}():
+    '''
+    set the default colormap to {name} and apply to current image if any.
+    See help(colormaps) for more information
+    '''
+    from matplotlib.cbook import warn_deprecated
+    warn_deprecated(
+                    "2.0",
+                    name="{name}",
+                    obj_type="colormap"
+                    )
+
+    rc('image', cmap='{name}')
+    im = gci()
+
+    if im is not None:
+        im.set_cmap(cm.{name})
+
+"""
+
 
 def boilerplate_gen():
     """Generator of lines for the automated part of pyplot."""
@@ -322,16 +343,18 @@ def format_value(value):
         'spring',
         'summer',
         'winter',
-        'spectral',
-
         'magma',
         'inferno',
         'plasma',
-        'viridis'
+        'viridis',
+        "nipy_spectral"
     )
+    deprecated_cmaps = ("spectral", )
     # add all the colormaps (autumn, hsv, ....)
     for name in cmaps:
         yield CMAP_TEMPLATE.format(name=name)
+    for name in deprecated_cmaps:
+        yield CMAP_TEMPLATE_DEPRECATED.format(name=name)
 
     yield ''
     yield '_setup_pyplot_info_docstrings()'
diff --git a/doc/users/image_tutorial.rst b/doc/users/image_tutorial.rst
@@ -203,7 +203,7 @@ Note that you can also change colormaps on existing plot objects using the
 .. sourcecode:: ipython
 
     In [10]: imgplot = plt.imshow(lum_img)
-    In [11]: imgplot.set_cmap('spectral')
+    In [11]: imgplot.set_cmap('nipy_spectral')
 
 .. plot::
 
@@ -213,7 +213,7 @@ Note that you can also change colormaps on existing plot objects using the
         img = mpimg.imread('../_static/stinkbug.png')
         lum_img = img[:, :, 0]
         imgplot = plt.imshow(lum_img)
-        imgplot.set_cmap('spectral')
+        imgplot.set_cmap('nipy_spectral')
 
 .. note::
 
@@ -249,7 +249,7 @@ do that by adding color bars.
             img = mpimg.imread('../_static/stinkbug.png')
             lum_img = img[:, :, 0]
             imgplot = plt.imshow(lum_img)
-            imgplot.set_cmap('spectral')
+            imgplot.set_cmap('nipy_spectral')
             plt.colorbar()
 
 This adds a colorbar to your existing figure.  This won't
diff --git a/lib/matplotlib/_cm.py b/lib/matplotlib/_cm.py
@@ -9,6 +9,7 @@
 from __future__ import (absolute_import, division, print_function,
                         unicode_literals)
 
+from matplotlib.cbook import warn_deprecated
 import numpy as np
 
 _binary_data = {
@@ -1365,7 +1366,24 @@ def gfunc32(x):
     )
 
 
-datad = {
+class _deprecation_datad(dict):
+    """
+    This class only exists for the purpose of raising an appropriate warning
+    for the deprecation of spectral. It should be remove in 2.2, once the
+    colormap spectral disappears.
+    """
+    def __getitem__(self, key):
+        if key in ["spectral", "spectral_r"]:
+            warn_deprecated(
+                "2.0",
+                name="spectral and spectral_r",
+                alternative="nipy_spectral and nipy_spectral_r",
+                obj_type="colormap"
+                )
+        return super(_deprecation_datad, self).__getitem__(key)
+
+
+datad = _deprecation_datad({
     'afmhot': _afmhot_data,
     'autumn': _autumn_data,
     'bone':   _bone_data,
@@ -1394,7 +1412,7 @@ def gfunc32(x):
     'winter': _winter_data,
     'nipy_spectral': _nipy_spectral_data,
     'spectral': _nipy_spectral_data,  # alias for backward compatibility
-    }
+    })
 
 
 datad['Blues'] = _Blues_data
diff --git a/lib/matplotlib/cm.py b/lib/matplotlib/cm.py
@@ -10,17 +10,17 @@
 import six
 
 import os
-
+import warnings as _warnings  # To remove once spectral is removed
 import numpy as np
 from numpy import ma
 import matplotlib as mpl
 import matplotlib.colors as colors
 import matplotlib.cbook as cbook
-from matplotlib._cm import datad
+from matplotlib._cm import datad, _deprecation_datad
 from matplotlib._cm import cubehelix
 from matplotlib._cm_listed import cmaps as cmaps_listed
 
-cmap_d = dict()
+cmap_d = _deprecation_datad()
 
 # reverse all the colormaps.
 # reversed colormaps have '_r' appended to the name.
@@ -81,17 +81,22 @@ def _generate_cmap(name, lutsize):
 
 LUTSIZE = mpl.rcParams['image.lut']
 
-# Generate the reversed specifications ...
-for cmapname in list(six.iterkeys(datad)):
-    spec = datad[cmapname]
-    spec_reversed = _reverse_cmap_spec(spec)
-    datad[cmapname + '_r'] = spec_reversed
-
-# Precache the cmaps with ``lutsize = LUTSIZE`` ...
-
-# Use datad.keys() to also add the reversed ones added in the section above:
-for cmapname in six.iterkeys(datad):
-    cmap_d[cmapname] = _generate_cmap(cmapname, LUTSIZE)
+# We silence warnings here to avoid raising the deprecation warning for
+# spectral/spectral_r when this module is imported.
+with _warnings.catch_warnings():
+    _warnings.simplefilter("ignore")
+    # Generate the reversed specifications ...
+    for cmapname in list(six.iterkeys(datad)):
+        spec = datad[cmapname]
+        spec_reversed = _reverse_cmap_spec(spec)
+        datad[cmapname + '_r'] = spec_reversed
+
+    # Precache the cmaps with ``lutsize = LUTSIZE`` ...
+
+    # Use datad.keys() to also add the reversed ones added in the section
+    # above:
+    for cmapname in six.iterkeys(datad):
+        cmap_d[cmapname] = _generate_cmap(cmapname, LUTSIZE)
 
 cmap_d.update(cmaps_listed)
 
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
@@ -121,7 +121,6 @@
   spring - set the default colormap to spring
   summer - set the default colormap to summer
   winter - set the default colormap to winter
-  spectral - set the default colormap to spectral
 
 _Event handling
 
diff --git a/lib/matplotlib/pyplot.py b/lib/matplotlib/pyplot.py
@@ -2698,7 +2698,8 @@ def boxplot(x, notch=None, sym=None, vert=None, whis=None, positions=None,
             conf_intervals=None, meanline=None, showmeans=None, showcaps=None,
             showbox=None, showfliers=None, boxprops=None, labels=None,
             flierprops=None, medianprops=None, meanprops=None, capprops=None,
-            whiskerprops=None, manage_xticks=True, hold=None, data=None):
+            whiskerprops=None, manage_xticks=True, autorange=False, zorder=None,
+            hold=None, data=None):
     ax = gca()
     # allow callers to override the hold state by passing hold=True|False
     washold = ax.ishold()
@@ -2717,7 +2718,8 @@ def boxplot(x, notch=None, sym=None, vert=None, whis=None, positions=None,
                          flierprops=flierprops, medianprops=medianprops,
                          meanprops=meanprops, capprops=capprops,
                          whiskerprops=whiskerprops,
-                         manage_xticks=manage_xticks, data=data)
+                         manage_xticks=manage_xticks, autorange=autorange,
+                         zorder=zorder, data=data)
     finally:
         ax.hold(washold)
 
@@ -2950,7 +2952,7 @@ def hexbin(x, y, C=None, gridsize=100, bins=None, xscale='linear',
 # This function was autogenerated by boilerplate.py.  Do not edit as
 # changes will be lost
 @_autogen_docstring(Axes.hist)
-def hist(x, bins=10, range=None, normed=False, weights=None, cumulative=False,
+def hist(x, bins=None, range=None, normed=False, weights=None, cumulative=False,
          bottom=None, histtype='bar', align='mid', orientation='vertical',
          rwidth=None, log=False, color=None, label=None, stacked=False,
          hold=None, data=None, **kwargs):
@@ -3378,7 +3380,8 @@ def step(x, y, *args, **kwargs):
 @_autogen_docstring(Axes.streamplot)
 def streamplot(x, y, u, v, density=1, linewidth=None, color=None, cmap=None,
                norm=None, arrowsize=1, arrowstyle='-|>', minlength=0.1,
-               transform=None, zorder=2, start_points=None, hold=None, data=None):
+               transform=None, zorder=None, start_points=None, hold=None,
+               data=None):
     ax = gca()
     # allow callers to override the hold state by passing hold=True|False
     washold = ax.ishold()
@@ -3815,20 +3818,6 @@ def winter():
         im.set_cmap(cm.winter)
 
 
-# This function was autogenerated by boilerplate.py.  Do not edit as
-# changes will be lost
-def spectral():
-    '''
-    set the default colormap to spectral and apply to current image if any.
-    See help(colormaps) for more information
-    '''
-    rc('image', cmap='spectral')
-    im = gci()
-
-    if im is not None:
-        im.set_cmap(cm.spectral)
-
-
 # This function was autogenerated by boilerplate.py.  Do not edit as
 # changes will be lost
 def magma():
@@ -3884,4 +3873,39 @@ def viridis():
     if im is not None:
         im.set_cmap(cm.viridis)
 
+
+# This function was autogenerated by boilerplate.py.  Do not edit as
+# changes will be lost
+def nipy_spectral():
+    '''
+    set the default colormap to nipy_spectral and apply to current image if any.
+    See help(colormaps) for more information
+    '''
+    rc('image', cmap='nipy_spectral')
+    im = gci()
+
+    if im is not None:
+        im.set_cmap(cm.nipy_spectral)
+
+
+# This function was autogenerated by boilerplate.py.  Do not edit as
+# changes will be lost
+def spectral():
+    '''
+    set the default colormap to spectral and apply to current image if any.
+    See help(colormaps) for more information
+    '''
+    from matplotlib.cbook import warn_deprecated
+    warn_deprecated(
+                    "2.0",
+                    name="spectral",
+                    obj_type="colormap"
+                    )
+
+    rc('image', cmap='spectral')
+    im = gci()
+
+    if im is not None:
+        im.set_cmap(cm.spectral)
+
 _setup_pyplot_info_docstrings()
diff --git a/lib/mpl_toolkits/tests/test_axes_grid.py b/lib/mpl_toolkits/tests/test_axes_grid.py
@@ -29,7 +29,7 @@ def test_imagegrid_cbar_mode_edge():
                          cbar_mode='edge')
         ax1, ax2, ax3, ax4, = grid
 
-        im1 = ax1.imshow(arr.real, cmap='spectral')
+        im1 = ax1.imshow(arr.real, cmap='nipy_spectral')
         im2 = ax2.imshow(arr.imag, cmap='hot')
         im3 = ax3.imshow(np.abs(arr), cmap='jet')
         im4 = ax4.imshow(np.arctan2(arr.imag, arr.real), cmap='hsv')
