Merge pull request matplotlib#6154 from jenshnielsen/quantifiedcodecleanup

Some small cleanups based on Quantified code

Author: tacaswell

doc/pyplots/whats_new_98_4_legend.py

@@ -1,6 +1,5 @@
 import matplotlib.pyplot as plt
 import numpy as np
-import matplotlib.pyplot as plt
 
 
 ax = plt.subplot(111)
@@ -13,6 +12,3 @@
 
 
 plt.show()
-
-
-

examples/lines_bars_and_markers/barh_demo.py

@@ -2,11 +2,11 @@
 Simple demo of a horizontal bar chart.
 """
 import matplotlib.pyplot as plt
-plt.rcdefaults()
 import numpy as np
-import matplotlib.pyplot as plt
 
 
+plt.rcdefaults()
+
 # Example data
 people = ('Tom', 'Dick', 'Harry', 'Slim', 'Jim')
 y_pos = np.arange(len(people))

examples/shapes_and_collections/artist_reference.py

@@ -9,16 +9,16 @@
 BSD License
 """
 import matplotlib.pyplot as plt
-plt.rcdefaults()
-
 import numpy as np
-import matplotlib.pyplot as plt
 import matplotlib.path as mpath
 import matplotlib.lines as mlines
 import matplotlib.patches as mpatches
 from matplotlib.collections import PatchCollection
 
 
+plt.rcdefaults()
+
+
 def label(xy, text):
     y = xy[1] - 0.15  # shift y-value for label so that it's below the artist
     plt.text(xy[0], y, text, ha="center", family='sans-serif', size=14)

lib/matplotlib/_mathtext_data.py

@@ -348,7 +348,6 @@
     r'\Rightarrow'               : ('psyr', 222),
     r'\Downarrow'                : ('psyr', 223),
     r'\Diamond'                  : ('psyr', 224),
-    r'\langle'                   : ('psyr', 225),
     r'\Sigma'                    : ('psyr', 229),
     r'\sum'                      : ('psyr', 229),
     r'\forall'                   : ('psyr',  34),
@@ -2111,7 +2110,6 @@
     'pitchfork'                : 8916,
     'blacktriangleleft'        : 9664,
     'nprec'                    : 8832,
-    'vdots'                    : 8942,
     'curvearrowright'          : 8631,
     'barwedge'                 : 8892,
     'multimap'                 : 8888,
@@ -2138,7 +2136,6 @@
     'Im'                       : 8465,
     'curvearrowleft'           : 8630,
     'wedgeq'                   : 8793,
-    'fallingdotseq'            : 8786,
     'curlyeqprec'              : 8926,
     'questeq'                  : 8799,
     'less'                     : 60,

lib/matplotlib/artist.py

@@ -1363,14 +1363,6 @@ def pprint_setters_rest(self, prop=None, leadingspace=2):
         lines.append(table_formatstr)
         lines.append('')
         return lines
-        ########
-
-        for prop, path in attrs:
-            accepts = self.get_valid_values(prop)
-            name = self.aliased_name_rest(prop, path)
-
-            lines.append('%s%s: %s' % (pad, name, accepts))
-        return lines
 
     def properties(self):
         """

lib/matplotlib/backends/backend_gtkagg.py

@@ -51,8 +51,9 @@ def new_figure_manager_given_figure(num, figure):
     Create a new figure manager instance for the given figure.
     """
     canvas = FigureCanvasGTKAgg(figure)
-    return FigureManagerGTKAgg(canvas, num)
+    figuremanager = FigureManagerGTKAgg(canvas, num)
     if DEBUG: print('backend_gtkagg.new_figure_manager done')
+    return figuremanager
 
 
 class FigureCanvasGTKAgg(FigureCanvasGTK, FigureCanvasAgg):

lib/matplotlib/rcsetup.py

@@ -1065,12 +1065,10 @@ def validate_animation_writer_path(p):
     # the number of points in the legend line for scatter
     'legend.scatterpoints': [3, validate_int],
     'legend.fontsize': ['large', validate_fontsize],
-     # the relative size of legend markers vs. original
-    'legend.markerscale': [1.0, validate_float],
-    'legend.shadow': [False, validate_bool],
-     # whether or not to draw a frame around legend
+
+    # whether or not to draw a frame around legend
     'legend.frameon': [True, validate_bool],
-     # alpha value of the legend frame
+    # alpha value of the legend frame
     'legend.framealpha': [None, validate_float_or_None],
 
     ## the following dimensions are in fraction of the font size

lib/matplotlib/testing/jpl_units/__init__.py

@@ -40,10 +40,6 @@
 from .Epoch import Epoch
 from .UnitDbl import UnitDbl
 
-from .Duration import Duration
-from .Epoch import Epoch
-from .UnitDbl import UnitDbl
-
 from .StrConverter import StrConverter
 from .EpochConverter import EpochConverter
 from .UnitDblConverter import UnitDblConverter

lib/matplotlib/tests/test_axes.py

@@ -25,7 +25,6 @@
 import matplotlib.pyplot as plt
 import matplotlib.markers as mmarkers
 from numpy.testing import assert_allclose, assert_array_equal
-import warnings
 from matplotlib.cbook import IgnoredKeywordWarning
 
 import sys

lib/matplotlib/tests/test_simplification.py

@@ -8,8 +8,6 @@
 from matplotlib.testing.decorators import image_comparison, knownfailureif, cleanup
 import matplotlib.pyplot as plt
 
-from pylab import *
-import numpy as np
 from matplotlib import patches, path, transforms
 
 from nose.tools import raises
@@ -24,7 +22,7 @@
 @image_comparison(baseline_images=['clipping'], remove_text=True)
 def test_clipping():
     t = np.arange(0.0, 2.0, 0.01)
-    s = np.sin(2*pi*t)
+    s = np.sin(2*np.pi*t)
 
     fig = plt.figure()
     ax = fig.add_subplot(111)
@@ -101,16 +99,16 @@ def test_simplify_curve():
 def test_hatch():
     fig = plt.figure()
     ax = fig.add_subplot(111)
-    ax.add_patch(Rectangle((0, 0), 1, 1, fill=False, hatch="/"))
+    ax.add_patch(plt.Rectangle((0, 0), 1, 1, fill=False, hatch="/"))
     ax.set_xlim((0.45, 0.55))
     ax.set_ylim((0.45, 0.55))
 
 @image_comparison(baseline_images=['fft_peaks'], remove_text=True)
 def test_fft_peaks():
     fig = plt.figure()
-    t = arange(65536)
+    t = np.arange(65536)
     ax = fig.add_subplot(111)
-    p1 = ax.plot(abs(fft(sin(2*pi*.01*t)*blackman(len(t)))))
+    p1 = ax.plot(abs(np.fft.fft(np.sin(2*np.pi*.01*t)*np.blackman(len(t)))))
 
     path = p1[0].get_path()
     transform = p1[0].get_transform()
@@ -163,7 +161,7 @@ def test_start_with_moveto():
 @cleanup
 @raises(OverflowError)
 def test_throw_rendering_complexity_exceeded():
-    rcParams['path.simplify'] = False
+    plt.rcParams['path.simplify'] = False
     xx = np.arange(200000)
     yy = np.random.rand(200000)
     yy[1000] = np.nan
@@ -173,7 +171,7 @@ def test_throw_rendering_complexity_exceeded():
     try:
         fig.savefig(io.BytesIO())
     finally:
-        rcParams['path.simplify'] = True
+        plt.rcParams['path.simplify'] = True
 
 @image_comparison(baseline_images=['clipper_edge'], remove_text=True)
 def test_clipper():