>>> """
==================
ggplot style sheet
==================

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] https://everyhue.me/posts/sane-color-scheme-for-matplotlib/

.. _ggplot: https://ggplot2.tidyverse.org/
.. _R: https://www.r-project.org/

"""
... import numpy as np
... import matplotlib.pyplot as plt
... 
... plt.style.use('ggplot')
... 
... # Fixing random state for reproducibility
... np.random.seed(19680801)
... 
... fig, axs = plt.subplots(ncols=2, nrows=2)
... ax1, ax2, ax3, ax4 = axs.flat
... 
... # 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, labels=['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()
...