3

I have a data set:

ReviewDate_year,ReviewDate_month,Sales
 2010,11,1
 2011,02,2
 2011,11,1
 2011,12,6
 2012,01,11
 2012,02,8
 2012,03,3
 2012,04,1
 2012,05,8
 2012,06,3
 2012,07,1
 2012,08,2
 2012,09,1
 2012,11,1
 2012,12,8
 2013,01,2
 2013,02,2
 2013,03,4
 2013,04,4
 2013,05,7
 2013,06,5
 2013,07,6
 2013,08,4
 2013,09,4
 2013,10,5
 2013,11,3
 2013,12,5
 2014,01,9
 2014,02,4
 2014,03,8
 2014,04,7
 2014,05,3
 2014,06,7
 2014,07,1

How do I plot Sales by month and different year in different line

I can certainly do it by year

df_2013 = df_monthlycount[df_monthlycount['ReviewDate_year'] == 2013]
df_2014 = df_monthlycount[df_monthlycount['ReviewDate_year'] == 2014]

df_2013.plot(x='ReviewDate_month',y='ProductId')

plt.show()

but how can I make lines of different year in a single chart?

2

1 Answer 1

4

You can use groupby plot. Instead of creating one ax for each group, you can specify an ax and have everything plotted on that ax:

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

ax = plt.subplot(111)
df[df.ReviewDate_year.isin([2012,2013])].groupby('ReviewDate_year').plot(y='Sales', x='ReviewDate_month', kind='line', ax=ax)
L = plt.legend()
_ = [plt.setp(item, 'text', T) for item, T in zip(L.texts, ['2012','2013'])]
_ = ax.set_xticks(df.ReviewDate_month.unique())

enter image description here

Sign up to request clarification or add additional context in comments.

Comments

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.