matplotlib/Seaborn中的条形标签 [英] Bar labels in matplotlib/Seaborn
本文介绍了matplotlib/Seaborn中的条形标签的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
在 3.4 版本中,matplotlib 添加了自动 Bar 标签:
In version 3.4, matplotlib added automatic Bar labels: https://matplotlib.org/stable/users/whats_new.html#new-automatic-labeling-for-bar-charts
I'm trying to use this on a bar plot generated by Seaborn.
fig, axs = plt.subplots(
nrows=2,
)
for i, col in enumerate(['col_1', 'col_2']):
ax = axs[i]
sns.barplot(
x="class",
y=col,
hue="hue_col",
data=data_df,
edgecolor=".3",
linewidth=0.5,
ax=ax
)
ax.bar_label(ax.containers[i]) # Doesn't work
What do I need to do to make this work? example plot
解决方案
You can loop through the containers and call ax.bar_label(...)
for each of them. Note that seaborn creates one set of bars for each hue value.
The following example uses the titanic dataset and sets ci=None
to avoid the error bars overlapping with the text (if error bars are needed, one could set a lighter color, e.g. errcolor='gold'
).
import seaborn as sns
import matplotlib.pyplot as plt
titanic = sns.load_dataset('titanic')
fig, axs = plt.subplots(ncols=2, figsize=(12, 4))
for ax, col in zip(axs, ['age', 'fare']):
sns.barplot(
x='sex',
y=col,
hue="class",
data=titanic,
edgecolor=".3",
linewidth=0.5,
ci=None,
ax=ax
)
ax.set_title('mean ' + col)
ax.margins(y=0.1) # make room for the labels
for bars in ax.containers:
ax.bar_label(bars, fmt='%.1f')
plt.tight_layout()
plt.show()
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