How to plot two DataFrame on same graph for comparison

Question

I have two DataFrames (trail1 and trail2) with the following columns: Genre, City, and Number Sold. Now I want to create a bar graph of both data sets for a side by side compari

Answer 1

You're one the right track, but you want merge rather than concat. Try this:

DF = pd.merge(df1,df2,on=['Genre','City'])
DF.Groupby([['Genre','City']]).sum().unstack().plot(kind = 'bar')

Answer 2

I found a solution to my question. I welcome others to post a better approach.

Solution:

df1 = pd.DataFrame(myData1, columns=['Genre', 'City', 'Sold'])
df2 = pd.DataFrame(myData2, columns=['Genre', 'City', 'Sold'])

df1['Key'] = 'trail1'
df2['Key'] = 'trail2'

DF = pd.concat([df1,df2],keys=['trail1','trail2'])

DFGroup = DF.groupby(['Genre','Key'])

DFGPlot = DFGroup.sum().unstack('Key').plot(kind='bar')

Here is an example of the generated graph: