Line plot with data points in pandas

Question

Using pandas I can easily make a line plot:

import pandas as pd import numpy as np %matplotlib inline # to use it in jupyter notebooks  df = pd.DataFrame(np.random.randn(50, 4),          index=pd.date_range('1/1/2000', periods=50), columns=list('ABCD')) df = df.cumsum() df.plot(); 

But I can't figure out how to also plot the data as points over the lines, as in this example:

This matplotlib example seems to suggest the direction, but I can't find how to do it using pandas plotting capabilities. And I am specially interested in learning how to do it with pandas because I am always working with dataframes.

Any clues?

Answer 1

You can use the style kwarg to the df.plot command. From the docs:

style : list or dict

matplotlib line style per column

So, you could either just set one linestyle for all the lines, or a different one for each line.

e.g. this does something similar to what you asked for:

df.plot(style='.-') 

To define a different marker and linestyle for each line, you can use a list:

df.plot(style=['+-','o-','.--','s:']) 

You can also pass the markevery kwarg onto matplotlib's plot command, to only draw markers at a given interval

df.plot(style='.-', markevery=5)