具有seaborn tsplot的多线图 [英] Multi-line chart with seaborn tsplot

问题描述

我想使用matplotlib和seaborn创建平滑的折线图.

I want to create a smoothed line chart using matplotlib and seaborn.

这是我的数据框df:

hour    direction    hourly_avg_count
0       1            20
1       1            22
2       1            21
3       1            21
..      ...          ...
24      1            15
0       2            24
1       2            28
...     ...          ...

折线图应包含两条线，一条表示direction等于1，另一条表示direction等于2.X轴是hour，Y轴是hourly_avg_count.

The line chart should contain two lines, one for direction equal to 1, another for direction equal to 2. The X axis is hour and Y axis is hourly_avg_count.

我尝试过，但是看不到线条.

I tried this, but I cannot see the lines.

import pandas as pd
import seaborn as sns
import matplotlib
import matplotlib.pyplot as plt

plt.figure(figsize=(12,8))
sns.tsplot(df, time='hour', condition='direction', value='hourly_avg_count')

推荐答案

tsplot有点奇怪，或者至少被严格记录在案.如果提供了一个数据框，则它假定必须存在unit和time列，因为它在内部围绕这两个旋转.因此，要使用tsplot绘制多个时间序列，您还需要向unit提供一个参数.这可以与condition相同.

The tsplot is a bit strange or at least strangly documented. If a dataframe is supplied to it, it assumes that there must be a unit and a time column present, as it internally pivots about those two. To use tsplot to plot several time series you would therefore need to supply an argument to unit as well; this can be the same as condition.

sns.tsplot(df, time='hour', unit = "direction", 
               condition='direction', value='hourly_avg_count')

完整示例:

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

hour, direction = np.meshgrid(np.arange(24), np.arange(1,3))
df = pd.DataFrame({"hour": hour.flatten(), "direction": direction.flatten()})
df["hourly_avg_count"] = np.random.randint(14,30, size=len(df))

plt.figure(figsize=(12,8))
sns.tsplot(df, time='hour', unit = "direction", 
               condition='direction', value='hourly_avg_count')

plt.show()

还值得注意的是， tsplot已弃用为版本0.8的版本.因此，可能仍然值得使用其他方式来绘制数据.

Also worth noting that tsplot is deprecated as of seaborn version 0.8. It might thus be worth to use some other way to plot the data anyways.

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