12.3.10.1.18. GGPlot

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/

import numpy as np
import matplotlib.pyplot as plt

plt.style.use("ggplot")

# Fixing random state for reproducibility
np.random.seed(19680801)

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()