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‎.circleci/config.yml‎

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texlive-xetex \
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graphviz \
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libgeos-dev \
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fonts-crosextra-carlito \
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otf-freefont
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fonts-run: &fonts-install

‎doc/_templates/layout.html‎

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<li><a href="{{ pathto('index') }}">home</a>|&nbsp;</li>
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<li><a href="{{ pathto('gallery/index') }}">examples</a>|&nbsp;</li>
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<li><a href="{{ pathto('tutorials/index') }}">tutorials</a>|&nbsp;</li>
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<li><a href="{{ pathto('api/api_overview') }}">API</a>|&nbsp;</li>
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<li><a href="{{ pathto('api/index') }}">API</a>|&nbsp;</li>
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<li><a href="{{ pathto('contents') }}">contents</a> &raquo;</li>
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{%- for parent in parents %}

‎doc/api/api_overview.rst‎

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‎doc/api/index.rst‎

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API Overview
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============
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.. toctree::
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:hidden:
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api_changes
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.. contents:: :local:
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See also the :doc:`api_changes`.
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Usage patterns
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--------------
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Below we describe several common approaches to plotting with Matplotlib.
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The pyplot API
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^^^^^^^^^^^^^^
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`matplotlib.pyplot` is a collection of command style functions that make
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Matplotlib work like MATLAB. Each pyplot function makes some change to a
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figure: e.g., creates a figure, creates a plotting area in a figure, plots
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some lines in a plotting area, decorates the plot with labels, etc.
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`.pyplot` is mainly intended for interactive plots and simple cases of
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programmatic plot generation.
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Further reading:
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- The `matplotlib.pyplot` function reference
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- :doc:`/tutorials/introductory/pyplot`
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- :ref:`Pyplot examples <pyplots_examples>`
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.. _api-index:
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####################
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The Matplotlib API
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####################
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The object-oriented API
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^^^^^^^^^^^^^^^^^^^^^^^
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.. toctree::
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:maxdepth: 1
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At its core, Matplotlib is object-oriented. We recommend directly working
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with the objects, if you need more control and customization of your plots.
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In many cases you will create a `.Figure` and one or more
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`~matplotlib.axes.Axes` using `.pyplot.subplots` and from then on only work
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on these objects. However, it's also possible to create `.Figure`\ s
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explicitly (e.g. when including them in GUI applications).
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api_overview.rst
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api_changes.rst
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Further reading:
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- `matplotlib.axes.Axes` and `matplotlib.figure.Figure` for an overview of
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plotting functions.
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- Most of the :ref:`examples <examples-index>` use the object-oriented approach
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(except for the pyplot section)
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The pylab API (disapproved)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^
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.. warning::
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Since heavily importing into the global namespace may result in unexpected
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behavior, the use of pylab is strongly discouraged. Use `matplotlib.pyplot`
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instead.
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`pylab` is a module that includes `matplotlib.pyplot`, `numpy`
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and some additional functions within a single namespace. Its original purpose
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was to mimic a MATLAB-like way of working by importing all functions into the
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global namespace. This is considered bad style nowadays.
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Modules
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=======
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-------
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Matplotlib consists of the following submodules:
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.. toctree::
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:maxdepth: 1
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widgets_api.rst
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Toolkits
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========
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--------
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:ref:`toolkits-index` are collections of application-specific functions that extend
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Matplotlib. The following toolkits are included:
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.. toctree::
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:maxdepth: 1

‎doc/users/credits.rst‎

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John Porter,
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and Jonathon Taylor.
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Thanks to Tony Yu for the original logo design.
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We also thank all who have reported bugs, commented on
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proposed changes, or otherwise contributed to Matplotlib's
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development and usefulness.

‎doc/users/generate_credits.py‎

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John Porter,
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and Jonathon Taylor.
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Thanks to Tony Yu for the original logo design.
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We also thank all who have reported bugs, commented on
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proposed changes, or otherwise contributed to Matplotlib's
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development and usefulness.

‎doc/users/history.rst‎

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plt.axis([1, 1.72, -60, 10])
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plt.gca().set_xticklabels([])
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plt.gca().set_yticklabels([])
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Matplotlib logo (2008 - 2015).
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..
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This logo was added in 325e47b.
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.. plot::
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import numpy as np
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import matplotlib as mpl
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import matplotlib.pyplot as plt
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import matplotlib.cm as cm
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mpl.rcParams['xtick.labelsize'] = 10
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mpl.rcParams['ytick.labelsize'] = 12
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mpl.rcParams['axes.edgecolor'] = 'gray'
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axalpha = 0.05
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figcolor = 'white'
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dpi = 80
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fig = plt.figure(figsize=(6, 1.1), dpi=dpi)
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fig.patch.set_edgecolor(figcolor)
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fig.patch.set_facecolor(figcolor)
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def add_math_background():
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ax = fig.add_axes([0., 0., 1., 1.])
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text = []
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text.append(
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(r"$W^{3\beta}_{\delta_1 \rho_1 \sigma_2} = "
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r"U^{3\beta}_{\delta_1 \rho_1} + \frac{1}{8 \pi 2}"
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r"\int^{\alpha_2}_{\alpha_2} d \alpha^\prime_2 "
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r"\left[\frac{ U^{2\beta}_{\delta_1 \rho_1} - "
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r"\alpha^\prime_2U^{1\beta}_{\rho_1 \sigma_2} "
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r"}{U^{0\beta}_{\rho_1 \sigma_2}}\right]$", (0.7, 0.2), 20))
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text.append((r"$\frac{d\rho}{d t} + \rho \vec{v}\cdot\nabla\vec{v} "
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r"= -\nabla p + \mu\nabla^2 \vec{v} + \rho \vec{g}$",
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(0.35, 0.9), 20))
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text.append((r"$\int_{-\infty}^\infty e^{-x^2}dx=\sqrt{\pi}$",
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(0.15, 0.3), 25))
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text.append((r"$F_G = G\frac{m_1m_2}{r^2}$",
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(0.85, 0.7), 30))
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for eq, (x, y), size in text:
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ax.text(x, y, eq, ha='center', va='center', color="#11557c",
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alpha=0.25, transform=ax.transAxes, fontsize=size)
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ax.set_axis_off()
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return ax
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def add_matplotlib_text(ax):
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ax.text(0.95, 0.5, 'matplotlib', color='#11557c', fontsize=65,
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ha='right', va='center', alpha=1.0, transform=ax.transAxes)
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def add_polar_bar():
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ax = fig.add_axes([0.025, 0.075, 0.2, 0.85], projection='polar')
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ax.patch.set_alpha(axalpha)
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ax.set_axisbelow(True)
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N = 7
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arc = 2. * np.pi
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theta = np.arange(0.0, arc, arc/N)
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radii = 10 * np.array([0.2, 0.6, 0.8, 0.7, 0.4, 0.5, 0.8])
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width = np.pi / 4 * np.array([0.4, 0.4, 0.6, 0.8, 0.2, 0.5, 0.3])
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bars = ax.bar(theta, radii, width=width, bottom=0.0)
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for r, bar in zip(radii, bars):
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bar.set_facecolor(cm.jet(r/10.))
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bar.set_alpha(0.6)
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ax.tick_params(labelbottom=False, labeltop=False,
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labelleft=False, labelright=False)
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ax.grid(lw=0.8, alpha=0.9, ls='-', color='0.5')
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ax.set_yticks(np.arange(1, 9, 2))
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ax.set_rmax(9)
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main_axes = add_math_background()
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add_polar_bar()
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add_matplotlib_text(main_axes)

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