如何为我的数据集创建多线图?

How to create a multi-line plot for my dataset?

我有以下 pandas DataFrame df:

df = pd.DataFrame(columns=["Event1", "Event2", "Event3"], 
                                data=[[15,1,22],
                                      [16,1.26,80],
                                      [27,0,15]])

df = df.set_index([["Series1", "Series2", "Series3"]])

我想创建一个X轴包含Event1Event2Event3的多线图,而Y轴应该是相应的数值。应该有 3 个系列:Series1Series2Series3.

如何在 sns.pointplot(x=???, y=???, hue=???,data=df) 中定义 xyhue

plt.figure(figsize=(12,8))
ax = sns.pointplot(x=???, y=???, hue=???,data=df)
ax.grid(b=True, which='major', color='#d3d3d3', linewidth=1.0)
ax.grid(b=True, which='minor', color='#d3d3d3', linewidth=0.5)
plt.show()

我不确定如何用 seaborn 做到这一点,但用 matplolib 是这样的:

for i in df.index.values:
    plt.plot(list(df.loc[i]))
plt.show()

在这种情况下,X ax 将取值 0、1 和 2,而 Y ax 将取您的行的值。只需在最后执行 plt.show() 即可将所有图都放在一个图中。在 seaborn 中应该以同样的方式工作。

将枢轴 df table 重组为经典数据框并根据需要绘制:

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

df = pd.DataFrame(columns=["Event1", "Event2", "Event3"], 
                                data=[[15,1,22],
                                      [16,1.26,80],
                                      [27,0,15]])
df = df.set_index([["Series1", "Series2", "Series3"]])
print(df)

# reorganize df to classic table
df2=df.stack().reset_index()
df2.columns = ['Series','Event','Values']
print(df2)

plt.figure(figsize=(12,8))
ax = sns.pointplot(x='Event', y='Values', hue='Series',data=df2)
ax.grid(b=True, which='major', color='#d3d3d3', linewidth=1.0)
ax.grid(b=True, which='minor', color='#d3d3d3', linewidth=0.5)
plt.show()

df2:

    Series   Event  Values
0  Series1  Event1   15.00
1  Series1  Event2    1.00
2  Series1  Event3   22.00
3  Series2  Event1   16.00
4  Series2  Event2    1.26
5  Series2  Event3   80.00
6  Series3  Event1   27.00
7  Series3  Event2    0.00
8  Series3  Event3   15.00

获得所需情节的最简单方法是df.T.plot()

import pandas as pd

df = pd.DataFrame(columns=["Event1", "Event2", "Event3"], 
                                data=[[15,1,22],
                                      [16,1.26,80],
                                      [27,0,15]])

df = df.set_index([["Series1", "Series2", "Series3"]])

df.T.plot()