plot all columns of a pandas dataframe with matplotlib

Question

I have a dataframe with a datetime-index and 65 columns.
And I want to plot all these colums among themselves, not in a grid or in one figure.

df= test[['one', 'two', 'three','four']]
fig, ax = plt.subplots(figsize=(24, 5))
df.plot(ax=ax)
plt.show()

The example is all in one plot and not all among themselves.

What does "among themselves" mean? Can you explain that in your own words? — ImportanceOfBeingErnest
– ImportanceOfBeingErnest, Commented Jun 23, 2019 at 21:51
possible duplicate of this: stackoverflow.com/questions/55567706/… — Neeraj Hanumante
– Neeraj Hanumante, Commented Dec 16, 2019 at 10:19

benrussell80 · Accepted Answer · 2019-06-24 06:41:46Z

2

You can loop over the columns of the DataFrame and create a new figure for each column. This will plot them all at once. If you want the next one to show up once the previous one is closed then put the call to plt.show() inside the for loop.

import pandas as pd 
import matplotlib.pyplot as plt 


df = pd.DataFrame({
        'one': [1, 3, 2, 5],
        'two': [9, 6, 4, 3],
        'three': [0, 1, 1, 0],
        'four': [-3, 2, -1, 0]})

for i, col in enumerate(df.columns):
    df[col].plot(fig=plt.figure(i))
    plt.title(col)

plt.show()

answered Jun 24, 2019 at 6:41

benrussell80

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