matplotlib/examples/style_sheets/plot_ggplot.py at master · feisuo/matplotlib · GitHub

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"""

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://had.co.nz/ggplot/

.. _R: http://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.prop_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=list(plt.rcParams['axes.prop_cycle'])[2]['color'])

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.prop_cycle']):

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

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

ax4.axis('equal')

ax4.margins(0)

plt.show()

matplotlib/examples/style_sheets/plot_ggplot.py at master · feisuo/matplotlib · GitHub

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