[英]different plot for same x-axis value in seaborn
I have a pandas dataframe, which looks like this:我有一个 pandas dataframe,它看起来像这样:
import seaborn as sns
import pandas as pd
d = {'a': [100, 125, 300, 520], 'b': [250, 270, 278, 248]}
df = pd.DataFrame(data=d, index=[25, 26, 26, 30])
a b
25 100 250
26 125 270
26 300 278
30 520 248
When I try to plot this dataframe with当我尝试 plot 这个 dataframe 时
df=sns.lineplot(data=df, dashes=False)
the values for 26 are averaged and a error bar shows up. 26 的值是平均的,并显示错误栏。 However I want the values for 26 plotted separately.
但是我想单独绘制 26 的值。
That's what the estimator
parameter does.这就是
estimator
参数的作用。 See the docs: https://seaborn.pydata.org/generated/seaborn.lineplot.html请参阅文档: https://seaborn.pydata.org/generated/seaborn.lineplot.html
sns.lineplot(data=df, dashes=False, estimator=None)
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