How to plot a Percentage graph in Python?

Question

Suppose I have a data like

 df = pd.Dataframe({'id': [1,2,3,4,5], 'Disease' : [0,0,1,0,1], 'code':['A', 'B', 'B', 'A', 'A']})

Now I know that if I groupby code

m = df.groupby(df.code).size()

I have the frequency chart of people with code A and B. I need to plot this as a bar graph but I want the percentage graph. That is y axis is percentage from 0 to 100 and x-axis to be code. I want see what percent of people with code A has status 0 and 1, similarly the other way round. As someone dealt with this before ?

Hezi Resheff · Accepted Answer · 2015-03-09 17:23:48Z

1

How about this?

df.groupby('code').mean()['Disease'].plot(kind='bar')

It will be a fraction, not percentage, but I'm sure you can take it form here.

answered Mar 9, 2015 at 17:23

Hezi Resheff

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3 Comments

Hezi Resheff Over a year ago

this is a more elegant version: df['Disease'].groupby(df.code).mean().plot(kind='bar')

Shiva Prakash Over a year ago

I want stacked in this with showing status 0 and 1 in different colors

Hezi Resheff Over a year ago

Use the 'color' variable of DataFrame.plot , like this: df['Disease'].groupby(df.code).mean().plot(kind='bar', color=['red', 'green'])

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