Merge remote-tracking branch 'upstream/v1.3.x'

Author: mdboom

doc/api/index_backend_api.rst

@@ -9,5 +9,6 @@ backends
    backend_qt4agg_api.rst
    backend_wxagg_api.rst
    backend_pdf_api.rst
+   backend_webagg.rst
    dviread.rst
    type1font.rst

examples/pylab_examples/multipage_pdf.py

@@ -2,42 +2,39 @@
 
 import datetime
 import numpy as np
-import matplotlib
 from matplotlib.backends.backend_pdf import PdfPages
-from pylab import *
+import matplotlib.pyplot as plt
 
 # Create the PdfPages object to which we will save the pages:
-pdf = PdfPages('multipage_pdf.pdf')
+# The with statement makes sure that the PdfPages object is closed properly at
+# the end of the block, even if an Exception occurs.
+with PdfPages('multipage_pdf.pdf') as pdf:
+    plt.figure(figsize=(3, 3))
+    plt.plot(range(7), [3, 1, 4, 1, 5, 9, 2], 'r-o')
+    plt.title('Page One')
+    pdf.savefig()  # saves the current figure into a pdf page
+    plt.close()
 
-figure(figsize=(3,3))
-plot(range(7), [3,1,4,1,5,9,2], 'r-o')
-title('Page One')
-savefig(pdf, format='pdf') # note the format='pdf' argument!
-close()
+    plt.rc('text', usetex=True)
+    plt.figure(figsize=(8, 6))
+    x = np.arange(0, 5, 0.1)
+    plt.plot(x, np.sin(x), 'b-')
+    plt.title('Page Two')
+    pdf.savefig()
+    plt.close()
 
-rc('text', usetex=True)
-figure(figsize=(8,6))
-x = np.arange(0,5,0.1)
-plot(x, np.sin(x), 'b-')
-title('Page Two')
-pdf.savefig() # here's another way - or you could do pdf.savefig(1)
-close()
+    plt.rc('text', usetex=False)
+    fig = plt.figure(figsize=(4, 5))
+    plt.plot(x, x*x, 'ko')
+    plt.title('Page Three')
+    pdf.savefig(fig)  # or you can pass a Figure object to pdf.savefig
+    plt.close()
 
-rc('text', usetex=False)
-fig=figure(figsize=(4,5))
-plot(x, x*x, 'ko')
-title('Page Three')
-pdf.savefig(fig) # or you can pass a Figure object to pdf.savefig
-close()
-
-# We can also set the file's metadata via the PdfPages object:
-d = pdf.infodict()
-d['Title'] = 'Multipage PDF Example'
-d['Author'] = u'Jouni K. Sepp\xe4nen'
-d['Subject'] = 'How to create a multipage pdf file and set its metadata'
-d['Keywords'] = 'PdfPages multipage keywords author title subject'
-d['CreationDate'] = datetime.datetime(2009,11,13)
-d['ModDate'] = datetime.datetime.today()
-
-# Remember to close the object - otherwise the file will not be usable
-pdf.close()
+    # We can also set the file's metadata via the PdfPages object:
+    d = pdf.infodict()
+    d['Title'] = 'Multipage PDF Example'
+    d['Author'] = u'Jouni K. Sepp\xe4nen'
+    d['Subject'] = 'How to create a multipage pdf file and set its metadata'
+    d['Keywords'] = 'PdfPages multipage keywords author title subject'
+    d['CreationDate'] = datetime.datetime(2009, 11, 13)
+    d['ModDate'] = datetime.datetime.today()

lib/matplotlib/backends/backend_pdf.py

@@ -2252,15 +2252,12 @@ class PdfPages(object):
     Use like this::
 
         # Initialize:
-        pp = PdfPages('foo.pdf')
+        with PdfPages('foo.pdf') as pdf:
 
-        # As many times as you like, create a figure fig, then either:
-        fig.savefig(pp, format='pdf') # note the format argument!
-        # or:
-        pp.savefig(fig)
-
-        # Once you are done, remember to close the object:
-        pp.close()
+            # As many times as you like, create a figure fig and save it:
+            # When no figure is specified the current figure is saved
+            pdf.savefig(fig)
+            pdf.savefig()
 
     (In reality PdfPages is a thin wrapper around PdfFile, in order to
     avoid confusion when using savefig and forgetting the format
@@ -2276,6 +2273,12 @@ def __init__(self, filename):
         """
         self._file = PdfFile(filename)
 
+    def __enter__(self):
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        self.close()
+
     def close(self):
         """
         Finalize this object, making the underlying file a complete

lib/matplotlib/testing/compare.py

@@ -309,32 +309,6 @@ def compare_images( expected, actual, tol, in_decorator=False ):
    expected_version = version.LooseVersion("1.6")
    found_version = version.LooseVersion(np.__version__)
 
-   # On Numpy 1.6, we can use bincount with minlength, which is much faster than
-   # using histogram
-   if found_version >= expected_version:
-      rms = 0
-
-      for i in xrange(0, 3):
-         h1p = expectedImage[:,:,i]
-         h2p = actualImage[:,:,i]
-
-         h1h = np.bincount(h1p.ravel(), minlength=256)
-         h2h = np.bincount(h2p.ravel(), minlength=256)
-
-         rms += np.sum(np.power((h1h-h2h), 2))
-   else:
-      rms = 0
-      ns = np.arange(257)
-
-      for i in xrange(0, 3):
-         h1p = expectedImage[:,:,i]
-         h2p = actualImage[:,:,i]
-
-         h1h = np.histogram(h1p, bins=ns)[0]
-         h2h = np.histogram(h2p, bins=ns)[0]
-
-         rms += np.sum(np.power((h1h-h2h), 2))
-
    rms = calculate_rms(expectedImage, actualImage)
 
    diff_image = make_test_filename(actual, 'failed-diff')