Note
Click here to download the full example code
12.3.10.1.18. GGPlotΒΆ
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).
![demo ggplot](../../../_images/sphx_glr_demo_ggplot_001.png)
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()
Total running time of the script: ( 0 minutes 0.224 seconds)