Pandas.plot Multiple plot same figure

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…

For now I have:

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?

Answer

The structure is

1. create an axes to plot to
2. run the loop to populate the axes
3. save and/or show (save before show)

In terms of code:

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()