Horizontal bar chart

This example is based on barh.py example from matplotlib.

import matplotlib.pyplot as plt
import numpy as np

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

fig, ax = plt.subplots()

# Example data
people = ('Tom', 'Dick', 'Harry', 'Slim', 'Jim')
y_pos = np.arange(len(people))
performance = 3 + 10 * np.random.rand(len(people))
error = np.random.rand(len(people))

bars = ax.barh(y_pos, performance, xerr=error, align='center')
ax.set_yticks(y_pos, labels=people)
ax.invert_yaxis()  # labels read top-to-bottom
ax.set_xlabel('Performance')
ax.set_title('How fast do you want to go today?')

# Now we pick Harry's bar and change its luminosity at 50 20%, and set
# luminosity of others at 80%.
from mpl_visual_context.patheffects import HLSModify, ColorMatrix

pe_active = HLSModify(l="-80%")
pe_inactive = HLSModify(l="-30%") | ColorMatrix("grayscale")

for name, p in zip(people, bars.patches):
    if name == "Harry":
        p.set_path_effects([pe_active])
    else:
        p.set_path_effects([pe_inactive])

# The plot also shows errorbar for each bar plot. The errorbar is represented
# as a line_collection, and it is not straight forward to apply path_effects
# only to the part of them. So, it it not attempted in this example.

plt.show()