{"action":"created","comment":{"url":"https://api.github.com/repos/matplotlib/matplotlib/pulls/comments/77600288","id":77600288,"diff_hunk":"@@ -418,24 +418,278 @@ or by setting::\n in your :file:`matplotlibrc` file.\n \n \n-\n-Other\n-=====\n-\n-- lines.color change, only hits raw usage of Line2D\n-\n Hatching\n ========\n \n-- The width of the lines in a hatch pattern is now configurable by the\n-  rcParam `hatch.linewidth`, with a default of 1 point.  The old\n-  behavior was different depending on backend:\n+The width of the lines in a hatch pattern is now configurable by the\n+rcParam `hatch.linewidth`, with a default of 1 point.  The old\n+behavior was different depending on backend:\n \n     - PDF: 0.1 pt\n     - SVG: 1.0 pt\n     - PS:  1 px\n     - Agg: 1 px\n \n+The old behavior can not be restored across all backends simultaneously, but\n+can be restored for a single backend by setting::\n+\n+   mpl.rcParams['hatch.linewidth'] = 0.1  # previous pdf hatch linewidth\n+   mpl.rcParams['hatch.linewidth'] = 1.0  # previous svg hatch linewidth\n+\n+The behavior of the PS and Agg backends was DPI dependent, thus::\n+\n+\n+   mpl.rcParams['figure.dpi'] = dpi\n+   mpl.rcParams['savefig.dpi'] = dpi  # or leave as default 'figure'\n+   mpl.rcParams['hatch.linewidth'] = 1.0 / dpi  # previous ps and Agg hatch linewidth\n+\n+\n+There is no API level control of the hacth linewidth.\n+\n+\n+.. _default_changes_font:\n+\n+Fonts\n+=====\n+\n+Normal text\n+-----------\n+\n+The default font has changed from \"Bitstream Vera Sans\" to \"DejaVu\n+Sans\".  \"DejaVu Sans\" is an improvement on \"Bistream Vera Sans\" that\n+adds more international and math characters, but otherwise has the\n+same appearance.  Latin, Greek, Cyrillic, Armenian, Georgian, Hebrew,\n+and Arabic are `all supported\n+<http://dejavu-fonts.org/wiki/Main_Page>`__ (but right-to-left render\n+is still not handled by matplotlib).  In addition , DejaVu contains a\n+sub-set of emoji symbols\n+\n+.. plot::\n+\n+   from __future__ import unicode_literals\n+\n+   import matplotlib.pyplot as plt\n+\n+   fig, ax = plt.subplots()\n+   tick_labels = ['😃', '😎', '😴', '😲', '😻']\n+   bar_labels = ['א', 'α', '☣', '⌬', 'ℝ']\n+   y = [1, 4, 9, 16, 25]\n+   x = range(5)\n+   ax.bar(x, y, tick_label=tick_labels, align='center')\n+   ax.xaxis.set_tick_params(labelsize=20)\n+   for _x, _y, t in zip(x, y, bar_labels):\n+       ax.annotate(t, (_x, _y), fontsize=20, ha='center',\n+                   xytext=(0, -2), textcoords='offset pixels',\n+                   bbox={'facecolor': 'w'})\n+\n+   ax.set_title('Диаграмма со смайликами')\n+\n+See the `DejaVu Sans PDF sample for full coverage\n+<http://dejavu.sourceforge.net/samples/DejaVuSans.pdf>`__.\n+\n+Math text\n+---------\n+\n+The default math font when using the built-in math rendering engine\n+(mathtext) has changed from \"Computer Modern\" (i.e. LaTeX-like) to\n+\"DejaVu Sans\".  This change has no effect if the\n+TeX backend is used (i.e. ``text.usetex`` is ``True``).\n+\n+\n+.. plot::\n+\n+   import matplotlib.pyplot as plt\n+   import matplotlib as mpl\n+\n+   mpl.rcParams['mathtext.fontset'] = 'cm'\n+   mpl.rcParams['mathtext.rm'] = 'serif'\n+\n+   fig, ax  = plt.subplots(tight_layout=True, figsize=(3, 3))\n+\n+   ax.plot(range(15), label='int: $15 \\int_0^\\infty dx$')\n+   ax.legend()\n+   ax.set_title('classic')\n+\n+\n+.. plot::\n+\n+   import matplotlib.pyplot as plt\n+   import matplotlib as mpl\n+\n+   fig, ax  = plt.subplots(tight_layout=True, figsize=(3, 3))\n+\n+   ax.plot(range(15), label='int: $15 \\int_0^\\infty dx$')\n+   ax.legend()\n+   ax.set_title('v2.0')\n+\n+\n+\n+To revert to the old behavior set the::\n+\n+   mpl.rcParams['mathtext.fontset'] = 'cm'\n+   mpl.rcParams['mathtext.rm'] = 'serif'\n+\n+or by setting::\n+\n+  mathetxt.fontset: cm\n+  mathtext.rm : serif\n+\n+\n+in your :file:`matplotlibrc` file.\n+\n+This ``rcParam`` is consulted when the text is drawn, not when the\n+artist is created. Thus all mathtext on a given ``canvas`` will use the\n+same fontset.\n+\n+\n+Legends\n+=======\n+\n+- By default, the number of points displayed in a legend is now 1.\n+- The default legend location is ``best``, so the legend will be\n+  automatically placed in a location to obscure the least amount of\n+  data possible.\n+- The legend now has rounded corners by default.\n+- The legend defaults now include rounded corners, a lighter\n+  boundary, and partially transparent boundary and background.\n+\n+.. plot::\n+\n+   import matplotlib as mpl\n+   import numpy as np\n+   import matplotlib.pyplot as plt\n+   import numpy as np\n+\n+   def demo(ax, rcparams, title):\n+       np.random.seed(2)\n+       N = 25\n+       with mpl.rc_context(rc=rcparams):\n+           x = range(N)\n+           y = np.cumsum(np.random.randn(N) )\n+           ln, = ax.plot(x, y, marker='s',\n+\t                 linestyle='-', label='plot')\n+\t   ax.fill_between(x, y, 0, label='fill', alpha=.5, color=ln.get_color())\n+           ax.scatter(N*np.random.rand(N), np.random.rand(N), label='scatter')\n+           ax.set_title(title)\n+           ax.legend()\n+\n+   fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(6, 3), tight_layout=True)\n+\n+   classic_rc = {'legend.fancybox': False,\n+                 'legend.numpoints': 2,\n+                 'legend.scatterpoints': 3,\n+                 'legend.framealpha': None,\n+                 'legend.edgecolor': 'inherit',\n+                 'legend.loc': 'upper right',\n+                 'legend.fontsize': 'large',\n+   }\n+\n+   demo(ax1, classic_rc, 'classic')\n+   demo(ax2, {}, 'v2.0')\n+\n+\n+The previous defaults can be restored by setting::\n+\n+   mpl.rcParams['legend.fancybox'] = False\n+   mpl.rcParams['legend.loc'] = 'upper right'\n+   mpl.rcParams['legend.numpoints'] = 2\n+   mpl.rcParams['legend.fontsize'] = 'large'\n+   mpl.rcParams['legend.framealpha'] = None\n+   mpl.rcParams['legend.scatterpoints'] = 3\n+   mpl.rcParams['legend.edgecolor'] = 'inherit'\n+\n+\n+or by setting::\n+\n+   legend.fancybox      : False\n+   legend.loc           : upper right\n+   legend.numpoints     : 2      # the number of points in the legend line\n+   legend.fontsize      : large\n+   legend.framealpha    : None    # opacity of of legend 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