How to add a y-axis label while using pandas.DataFrame.plot() for constructing a time series plot

Question

This is my code. I looked at the documentation but didn't find the answer.

 import pandas as pd
 import matplotlib.pyplot as plt
 from datetime import datetime
 avs = pd.read_csv('daily_2004_2014.csv')
 avs = avs.set_index(pd.DatetimeIndex(avs['Date']))
 fig = plt.figure()
 avs.plot()
 plt.show()

Here is the generated image

Keith · Accepted Answer · 2017-12-27 06:09:12Z

1

The plot function returns axes.

axes = avs.plot()

Then you can edit the axes in any way you want. In your case

axes.set_ylabel('Desired Label')

answered Dec 27, 2017 at 6:09

Keith

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4 Comments

FAli Over a year ago

Actually, I have another question. How to remove the automatically generated x-axis label 'Date' in the generated image above?

Keith Over a year ago

Essentially the same question. Just set the label to nothing axes.set_xlabel(' ')

FAli Over a year ago

Thanks, and I have another question. The generated plot shows x-axis tick labels for every alternate year 2004, 2006, 2008, ... Is there a way to show labels for every major tick i.e., 2004, 2005, 2006, 2007, ....., 2014?

Keith Over a year ago

You are going to want to use axes.set_xticks() and/or ax.set_xticklabels(). You may also want fig.autofmt_xdate(). This is all pretty basic plotting which is likely answered elsewhere, you should search around for these answers harder and read the documentation of the functions.

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