8000 DOC Convert style sheet examples to MEP12 by naoyak · Pull Request #7890 · matplotlib/matplotlib · GitHub
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Jan 21, 2017
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DOC Convert style sheet examples to MEP12 #7890

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Convert style sheet examples to MEP12
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@naoyak
naoyak committed Jan 20, 2017
commit 69eee924c89a54a1e8ac287637d549a8d485ad69
30 changes: 20 additions & 10 deletions examples/style_sheets/plot_bmh.py
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"""
This example demonstrates the "bmh" style, which is the design used in the
Bayesian Methods for Hackers online book.
========================================
Bayesian Methods for Hackers style sheet
========================================

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@NelleV does the length of the ='s need to match the title?

E.g.,

=====================
 Bayesian Methods for Hackers style sheet
=====================

vs

=========================================
 Bayesian Methods for Hackers style sheet
=========================================

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Yes, it does: our documentation build is else going to fail.

(To be precise, lines can be longer, but not shorter than the title)

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👍

This example demonstrates the style used in the Bayesian Methods for Hackers
[1]_ online book.

.. [1] http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
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Question to a PEP8 expert (@QuLogic ?) : are URLs longer than 80 characters OK with our pycodestyle setup?

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I was wondering about that too and pushed this to see if the build would fail.

Obviously there isn't much of a way around this short of using a URL shortener or something.

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I think it might ignore URLs in docstrings. You could get it to fit with backslashes, but it'd be ugly.


"""
from numpy.random import beta
import matplotlib.pyplot as plt

plt.style.use('bmh')


def plot_beta_hist(a, b):
plt.hist(beta(a, b, size=10000), histtype="stepfilled",
bins=25, alpha=0.8, normed=True)
return
def plot_beta_hist(ax, a, b):
ax.hist(beta(a, b, size=10000), histtype="stepfilled",
bins=25, alpha=0.8, normed=True)
return ax
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Remove this line; the return value is not used for anything.



plot_beta_hist(10, 10)
plot_beta_hist(4, 12)
plot_beta_hist(50, 12)
plot_beta_hist(6, 55)
fig, ax = plt.subplots()
plot_beta_hist(ax, 10, 10)
plot_beta_hist(ax, 4, 12)
plot_beta_hist(ax, 50, 12)
plot_beta_hist(ax, 6, 55)
ax.set_title("'bmh' style sheet")

plt.show()
18 changes: 12 additions & 6 deletions examples/style_sheets/plot_dark_background.py
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"""
===========================
Dark background style sheet
===========================

This example demonstrates the "dark_background" style, which uses white for
elements that are typically black (text, borders, etc). Note, however, that not
all plot elements default to colors defined by an rc parameter.
elements that are typically black (text, borders, etc). Note that not all plot
elements default to colors defined by an rc parameter.

"""
import numpy as np
Expand All @@ -10,14 +14,16 @@

plt.style.use('dark_background')

fig, ax = plt.subplots()

L = 6
x = np.linspace(0, L)
ncolors = len(plt.rcParams['axes.prop_cycle'])
shift = np.linspace(0, L, ncolors, endpoint=False)
for s in shift:
plt.plot(x, np.sin(x + s), 'o-')
plt.xlabel('x-axis')
plt.ylabel('y-axis')
plt.title('title')
ax.plot(x, np.sin(x + s), 'o-')
ax.set_xlabel('x-axis')
ax.set_ylabel('y-axis')
ax.set_title("'dark_background' style sheet")

plt.show()
19 changes: 13 additions & 6 deletions examples/style_sheets/plot_fivethirtyeight.py
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"""
===========================
FiveThirtyEight style sheet
===========================

This shows an example of the "fivethirtyeight" styling, which
tries to replicate the styles from FiveThirtyEight.com.
"""
Expand All @@ -12,13 +16,16 @@
# Fixing random state for reproducibility
np.random.seed(19680801)

fig, ax = plt.subplots()
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You might need to do this within the context to ensure that general figure styling matches the style.

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Or maybe change the example to use plt.style.use like the other ones.


with plt.style.context('fivethirtyeight'):
plt.plot(x, np.sin(x) + x + np.random.randn(50))
plt.plot(x, np.sin(x) + 0.5 * x + np.random.randn(50))
plt.plot(x, np.sin(x) + 2 * x + np.random.randn(50))
plt.plot(x, np.sin(x) - 0.5 * x + np.random.randn(50))
plt.plot(x, np.sin(x) - 2 * x + np.random.randn(50))
plt.plot(x, np.sin(x) + np.random.randn(50))
ax.plot(x, np.sin(x) + x + np.random.randn(50))
ax.plot(x, np.sin(x) + 0.5 * x + np.random.randn(50))
ax.plot(x, np.sin(x) + 2 * x + np.random.randn(50))
ax.plot(x, np.sin(x) - 0.5 * x + np.random.randn(50))
ax.plot(x, np.sin(x) - 2 * x + np.random.randn(50))
ax.plot(x, np.sin(x) + np.random.randn(50))
ax.set_title("'fivethirtyeight' style sheet")


plt.show()
4 changes: 4 additions & 0 deletions examples/style_sheets/plot_ggplot.py
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"""
==================
ggplot style sheet
==================

This example demonstrates the "ggplot" style, which adjusts the style to
emulate ggplot_ (a popular plotting package for R_).

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5 changes: 5 additions & 0 deletions examples/style_sheets/plot_grayscale.py
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"""
=====================
Grayscale style sheet
=====================

This example demonstrates the "grayscale" style sheet, which changes all colors
that are defined as rc parameters to grayscale. Note, however, that not all
plot elements default to colors defined by an rc parameter.
Expand Down Expand Up @@ -29,6 +33,7 @@ def image_and_patch_example(ax):
plt.style.use('grayscale')

fig, (ax1, ax2) = plt.subplots(ncols=2)
fig.suptitle("'grayscale' style sheet")

color_cycle_example(ax1)
image_and_patch_example(ax2)
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