Plot Multiple Pandas Dataframes In One Graph

I have created 6 different dataframes that eliminate the outliers of their own original data frames. Now, I'm trying to plot all of the dataframes that eliminate the outliers on th

Solution 1:

You need to use the ax parameter in pandas.dataframe.plot.

Use on the first df.plot to grab a handle on that axes:

ax = newdf.plot() 

then on subsequent plots use the ax parameter.

newdf2.plot(ax=ax)
...
newdf5.plot(ax=ax)

Solution 2:

Am I missing something? Normally, I just do this for multiple dataframes:

fig = plt.figure()

forframein [newdf, newdf2, newdf3, newdf4, newdf5]:
    plt.plot(frame['Time'], frame['Data'])

plt.xlim(0,18000)
plt.ylim(0,30)
plt.show()

Solution 3:

The answer 26 is very good solution. I've tried on my dataframe, if the x column is Date, then need little change, for instance,

DateKeyConfirmedDeaths141842020-02-12  US_TX1.00.0145962020-02-13  US_TX2.00.0150072020-02-14  US_TX2.00.0154182020-02-15  US_TX2.00.0158232020-02-16  US_TX2.00.0...............2702282020-11-07  US_TX950549.019002.02712182020-11-08  US_TX956234.019003.02722082020-11-09  US_TX963019.019004.02731502020-11-10  US_TX973970.019004.02740292020-11-11  US_TX985380.019544.0

DateKeyConfirmedDeaths219692020-03-01  US_NY1.00.0224822020-03-02  US_NY1.00.0230142020-03-03  US_NY2.00.0235552020-03-04  US_NY11.00.0240992020-03-05  US_NY22.00.0...............2702182020-11-07  US_NY530354.033287.02712082020-11-08  US_NY533784.033314.02721982020-11-09  US_NY536933.033343.02731402020-11-10  US_NY540897.033373.02740192020-11-11  US_NY545718.033398.0

import pandas as pd
from matplotlib import pyplot as plt

firstPlot = firstDataframe.plot(x='Date') # where the 'Date' is the column with date.

secondDataframe.plot(x='Date', ax=firstPlot)

...
plt.show()