如何根据来自多列的数据在Pandas Python中的一张图中绘制多条线? [英] How to plot multiple lines in one figure in Pandas Python based on data from multiple columns?

问题描述

我有一个包含3列的数据框，如下所示:

I have a dataframe with 3 columns, like this:

df['year'] = ['2005, 2005, 2005, 2015, 2015, 2015, 2030, 2030, 2030']
df['name'] = ['A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C']
df['weight'] = [80, 65, 88, 65, 60, 70, 60, 55, 65]

我如何绘制A，B和C的线，以显示它们多年来的重量变化.所以我尝试了这个:

how can I plot a line for A, B and C, where it shows how their weight develops through the years. So I tried this:

df.groupby("euro").plot(x="year", y="MKM")

但是，我得到多个地块，而这不是我想要的.我希望所有这些图都在一个图中.

However, I get multiple plots and that is not what I want. I want all those plots in one figure.

推荐答案

这会产生您想要的东西吗?

Does this produce what you're looking for?

import matplotlib.pyplot as plt
fig,ax = plt.subplots()

for name in ['A','B','C']:
    ax.plot(df[df.name==name].year,df[df.name==name].weight,label=name)

ax.set_xlabel("year")
ax.set_ylabel("weight")
ax.legend(loc='best')

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