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How can I plot a Python Pandas multiindex dataframe as a bar chart with group labels? Do any of the plotting libraries directly support this? This SO post shows a custom solution using matplotlib, but is there direct support for it?
As an example:
quarter company Q1 Blue 100 Green 300 Q2 Blue 200 Green 350 Q3 Blue 300 Green 400 Q4 Blue 400 Green 450 Name: count, dtype: int64 ...can this dataframe be plotted with group labels like this?
Thanks in advance,
Rafi
899
Plotting Bar charts using pandas DataFrame: Using the plot instance various diagrams for visualization can be drawn including the Bar Chart. The bar() method draws a vertical bar chart and the barh() method draws a horizontal bar chart. The bar() and barh() of the plot member accepts X and Y parameters.
You can slice a MultiIndex by providing multiple indexers. You can provide any of the selectors as if you are indexing by label, see Selection by Label, including slices, lists of labels, labels, and boolean indexers. You can use slice(None) to select all the contents of that level.
import pandas as pd data = pd.DataFrame([ ('Q1','Blue',100), ('Q1','Green',300), ('Q2','Blue',200), ('Q2','Green',350), ('Q3','Blue',300), ('Q3','Green',400), ('Q4','Blue',400), ('Q4','Green',450), ], columns=['quarter', 'company', 'value'] ) data = data.set_index(['quarter', 'company']).value data.unstack().plot(kind='bar', stacked=True) 
If you don't want to stack your bar chart:
data.unstack().plot(kind='bar') 
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