如何根据来自多列的数据在 Pandas Python 中的一个图中绘制多条线？
声明：本页面是StackOverFlow热门问题的中英对照翻译，遵循CC BY-SA 4.0协议，如果您需要使用它，必须同样遵循CC BY-SA许可，注明原文地址和作者信息，同时你必须将它归于原作者（不是我）：StackOverFlow
原文地址: http://stackoverflow.com/questions/40071096/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
How to plot multiple lines in one figure in Pandas Python based on data from multiple columns?
提问by Jolie
I have a dataframe with 3 columns, like this:
我有一个包含 3 列的数据框，如下所示：
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]
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:
我如何为 A、B 和 C 绘制一条线，它显示了它们的体重多年来的发展情况。所以我试过这个：
df.groupby("euro").plot(x="year", y="MKM")
However, I get multiple plots and that is not what I want. I want all those plots in one figure.
但是，我得到了多个图，这不是我想要的。我希望所有这些情节都集中在一个数字中。
采纳答案by Angus Williams
Does this produce what you're looking for?
这是否会产生您正在寻找的东西？
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')
