Pandas.plot 多个绘图相同的图形
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Pandas.plot Multiple plot same figure
提问by Boat
I have multiple CSV files that I am trying to plot in same the figure to have a comparison between them. I already read some information about pandas problem not keeping memory plot and creating the new one every time. People were talking about using an ax var, but I do not understand it...
我有多个 CSV 文件，我试图在同一个图中绘制它们以进行比较。我已经阅读了一些关于Pandas问题的信息，而不是每次都保留内存图并创建新的。人们在谈论使用 ax var，但我不明白......
For now I have:
现在我有：
def scatter_plot(csvfile,param,exp):
for i in range (1,10):
df = pd.read_csv('{}{}.csv'.format(csvfile,i))
ax = df.plot(kind='scatter',x=param,y ='Adjusted')
df.plot.line(x=param,y='Adjusted',ax=ax,style='b')
plt.show()
plt.savefig('plot/{}/{}'.format(exp,param),dpi=100)
But it's showing me ten plot and only save the last one. Any idea?
但它向我展示了十个情节并且只保存了最后一个。任何的想法？
Thanks
谢谢
回答by ImportanceOfBeingErnest
The structure is
结构是
- create an axes to plot to
- run the loop to populate the axes
- save and/or show (save before show)
- 创建要绘制的轴
- 运行循环以填充轴
- 保存和/或显示（显示前保存）
In terms of code:
在代码方面：
import matplotlib.pyplot as plt
import pandas as pd
ax = plt.gca()
for i in range (1,10):
df = pd.read_csv(...)
df.plot(..., ax=ax)
df.plot.line(..., ax=ax)
plt.savefig(...)
plt.show()
