在Seaborn pointplot中更改x轴上两个相邻值之间的间隙

Question

当我使用Seaborn点图进行绘图时，x轴上两个相邻值之间的差距应该不同，但现在所有这些值都相同，我怎么能改变它？

例如，5和7之间的间隙是2，其他间隙是1，但在图中它们都具有相同的长度。

import seaborn as sns
tips = sns.load_dataset('tips')
tips.loc[(tips['size'] == 6), 'size'] = 7
sns.pointplot('size', 'total_bill', 'sex', tips, dodge=True)

Answer 1

这在Seaborn中是不可能的，原因似乎是它会干扰hue=参数的嵌套分组，如changelog describing why this functionality was removed from the sns.violinplot所示，曾经positions= 1}}关键字（与plt.boxplot一样）。

如评论中所示，可以使用plt.errorbar来实现预期结果。

import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np

tips = sns.load_dataset('tips')
tips.loc[(tips['size'] == 6), 'size'] = 7

# This is to avoid that the points from the different curves are in the
# exact same x-position (so that the error bars to not obfuscate each other)
offset_amount = 0.1
gender_groups = tips.groupby('sex')
num_groups = gender_groups.ngroups
lims =  num_groups * offset_amount / 2
offsets = np.linspace(-lims, lims, num_groups) 

# Calculate and plot the mean and error estimates.
fig, ax = plt.subplots()
for offset, (gender_name, gender) in zip(offsets, gender_groups):
    means = gender.groupby('size')['total_bill'].mean()
    errs = gender.groupby('size')['total_bill'].sem() * 1.96 #95% CI
    ax.errorbar(means.index-offset, means, marker='o', yerr=errs, lw=2)

https://jenkins.io/doc/pipeline/examples/#get-build-cause