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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"

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<title>style_sheets example code: plot_ggplot.py — Matplotlib 1.5.3 documentation</title>

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<h1>style_sheets example code: plot_ggplot.py<a class="headerlink" href="#style-sheets-example-code-plot-ggplot-py" title="Permalink to this headline">¶</a></h1>

(<a class="reference external" href="../../mpl_examples/style_sheets/plot_ggplot.py">Source code</a>, <a class="reference external" href="../../mpl_examples/style_sheets/plot_ggplot.png">png</a>, <a class="reference external" href="../../mpl_examples/style_sheets/plot_ggplot.hires.png">hires.png</a>, <a class="reference external" href="../../mpl_examples/style_sheets/plot_ggplot.pdf">pdf</a>)

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<div class="highlight-default"><div class="highlight"><pre>"""

This example demonstrates the "ggplot" style, which adjusts the style to

emulate ggplot_ (a popular plotting package for R_).

These settings were shamelessly stolen from [1]_ (with permission).

.. [1] http://www.huyng.com/posts/sane-color-scheme-for-matplotlib/

.. _ggplot: http://ggplot2.org/

.. _R: https://www.r-project.org/

"""

import numpy as np

import matplotlib.pyplot as plt

plt.style.use('ggplot')

fig, axes = plt.subplots(ncols=2, nrows=2)

ax1, ax2, ax3, ax4 = axes.ravel()

# scatter plot (Note: `plt.scatter` doesn't use default colors)

x, y = np.random.normal(size=(2, 200))

ax1.plot(x, y, 'o')

# sinusoidal lines with colors from default color cycle

L = 2*np.pi

x = np.linspace(0, L)

ncolors = len(plt.rcParams['axes.color_cycle'])

shift = np.linspace(0, L, ncolors, endpoint=False)

for s in shift:

ax2.plot(x, np.sin(x + s), '-')

ax2.margins(0)

# bar graphs

x = np.arange(5)

y1, y2 = np.random.randint(1, 25, size=(2, 5))

width = 0.25

ax3.bar(x, y1, width)

ax3.bar(x + width, y2, width, color=plt.rcParams['axes.color_cycle'][2])

ax3.set_xticks(x + width)

ax3.set_xticklabels(['a', 'b', 'c', 'd', 'e'])

# circles with colors from default color cycle

for i, color in enumerate(plt.rcParams['axes.color_cycle']):

xy = np.random.normal(size=2)

ax4.add_patch(plt.Circle(xy, radius=0.3, color=color))

ax4.axis('equal')

ax4.margins(0)

plt.show()

</pre></div>

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Keywords: python, matplotlib, pylab, example, codex (see <a class="reference internal" href="../../faq/howto_faq.html#how-to-search-examples">Search examples</a>)

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