Pandas: Adding new column to dataframe which is a copy of the index column

Question

I have a dataframe which I want to plot with matplotlib, but the index column is the time and I cannot plot it.

This is the dataframe (df3):

but whe

Answer 1

You can directly access in the index and get it plotted, following is an example:

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

df = pd.DataFrame(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))

#Get index in horizontal axis
plt.plot(df.index, df[0])
plt.show()

 #Get index in vertiacal axis
 plt.plot(df[0], df.index)
 plt.show()