为什么在我的jupyter笔记本中，此线图中的线下方填充了seaborn/matplotlib? [英] Why has seaborn/matplotlib filled below the line in this lineplot in my jupyter notebook?

问题描述

我不知道为什么我的情节看起来像这样:

行下方有不想要的填充

我只想显示没有填充的行.下面的代码.请注意，如果我在Spyder或cmd中运行，也会发生这种情况.

import matplotlib.pyplot as plt
import seaborn as sns
df_ard= pd.read_csv(pathx, parse_dates=['Date'] )


plt.figure(figsize=(15,8))

sns.lineplot(x="Date", y='As',
             hue="Location",
             data=df_ard,
             palette='bright')

解决方案

这是有根据的猜测，因为您没有提供数据(请参见最小，完整和可验证的示例)，但我认为阴影来自于您为同一个x值拥有多个y值的事实.

如果您查看 sns.lineplot()的文档，您将阅读:

默认情况下，绘图会在每个值上聚合多个y值 x并显示对集中趋势的估计和置信度 该估算的时间间隔.

有几个选项可以删除阴影:

• 如果要继续聚合数据，但要删除阴影，请使用ci=None
• 如果您不想汇总数据，请使用estimator=None

I don't know why my plot looks like this:

I only want to display lines with no fill. Code below. Note this also happens if I run in Spyder or cmd.

import matplotlib.pyplot as plt
import seaborn as sns
df_ard= pd.read_csv(pathx, parse_dates=['Date'] )


plt.figure(figsize=(15,8))

sns.lineplot(x="Date", y='As',
             hue="Location",
             data=df_ard,
             palette='bright')

解决方案

This is an educated guess, since you don't provide your data (see Minimal, Complete, and Verifiable example), but I believe the shading comes from the fact that you have several y-values for the same x-value.

If you look at the documentation for sns.lineplot(), you'll read:

By default, the plot aggregates over multiple y values at each value of x and shows an estimate of the central tendency and a confidence interval for that estimate.

There are several options to remove the shading:

• if you want to continue aggregating the data, but remove the shading, use ci=None
• if you want to not aggregate the data, then use estimator=None

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