CODEWITHSUNDEEP
pythonpandasmatplotlibbar-chartstacked-chart
Jake
Jake

Reputation: 474

Stacking three bar charts from different series in python

I am new to matplotlib and cannot figure out how to stack multiple series into one bar chart.

Here is some data:

import pandas as pd
import matplotlib.pyplot as plt
###Data
x_lab =  pd.Series(['a','b','c'])
Series1 = pd.Series([25,35,30])
Series2 = pd.Series([40,35,50])
Series3 = pd.Series([35,30,20])

##Creating the 3 bars to plot##
pl_1 = plt.bar(x= x_lab,height = Series1)
pl_2 = plt.bar(x= x_lab,height = Series2)
pl_3 = plt.bar(x= x_lab,height = Series3)

When I run this code the data is superimposed onto each other. I am hoping that the data would be able to be stacked instead.

I have tried this:

##First attempt
attempt_1 = plt.bar(x = x_lab, height = [pl_1,pl_2,pl_3], stacked = True)

And this: 

##Second Attempt 
pl_1 = plt.bar(x= x_lab,height = Series1, stacked = True)
pl_2 = plt.bar(x= x_lab,height = Series2, stacked = True)
pl_3 = plt.bar(x= x_lab,height = Series3, stacked = True)

But neither worked. The desired output wold look something like this (colors do not need to match): enter image description here

Any help or guidance would be greatly appreciated.

Upvotes: 1

Views: 188

Answers (1)

ALollz
ALollz

Reputation: 59529

concat + a bar plot with stacked=True

import pandas as pd

(pd.concat([Series1, Series2, Series3], axis=1)
     .assign(idx=x_lab).set_index('idx')       # just for the labeling
     .plot.bar(stacked=True))

enter image description here

Upvotes: 3

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