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Plot bar chart with multiple groups of bars with matplotlib pyplot
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import numpy as np | |
import matplotlib.pyplot as plt | |
import matplotlib | |
# ugly hack to embed fonts | |
matplotlib.rc("pdf", fonttype=42) | |
edgecolor = "black" | |
bar_scale = 0.8 | |
plt.figure(figsize=(14, 4)) | |
things = [ | |
{ | |
"label": "The best", | |
"values": [0.4, 0.60, 0.52, 0.44, 0.2], | |
"color": "#00ff00", | |
}, | |
{ | |
"label": "Slightly worse", | |
"values": [0.3, 0.45, 0.39, 0.33, 0.15], | |
"color": "#dddddd", | |
}, | |
{ | |
"label": "Bad", | |
"values": [0.2, 0.30, 0.26, 0.22, 0.1], | |
"color": "#afafaf", | |
}, | |
{ | |
"label": "Trash", | |
"values": [0.1, 0.15, 0.13, 0.11, 0.05], | |
"color": "#666666", | |
}, | |
] | |
group_labels = ["Group #1", "Group #2", "Group #3", "Group #4", "Group #5"] | |
for i, data in enumerate(things): | |
x = 1 + np.arange(len(group_labels)) + (i - (len(things) - 1) / 2) * bar_scale / len(things) | |
plt.bar( | |
x=x, | |
height=data["values"], | |
width=bar_scale / len(things), | |
label=data["label"], | |
color=data["color"], | |
edgecolor=edgecolor, | |
linewidth=0.5, | |
) | |
plt.ticklabel_format(axis="y", style="sci", scilimits=(0, 0), useMathText=True) | |
plt.xticks(1 + np.arange(len(group_labels)), group_labels) | |
plt.xlim([0.5, len(group_labels) + 0.5]) | |
plt.ylabel("Goodness") | |
plt.legend() | |
plt.tight_layout() | |
plt.show() |
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