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Given the following data frame and pivot table:

import pandas as pd df=pd.DataFrame({'A':['a','a','a','a','a','b','b','b','b'], 'B':['x','y','z','x','y','z','x','y','z'], 'C':['a','b','a','b','a','b','a','b','a'], 'D':[7,5,3,4,1,6,5,3,1]}) table = pd.pivot_table(df, index=['A', 'B','C'],aggfunc='sum') table D A B C a x a 7 b 4 y a 1 b 5 z a 3 b x a 5 y b 3 z a 1 b 6

I'd like to create a heat map with divisions per indices A and B like this:

enter image description here

Is it possible?

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1 Answer 1

Reset to default
3

You can use Styler in jupyter notebook, see docs and notebook:

import seaborn as sns import pandas as pd df=pd.DataFrame({'A':['a','a','a','a','a','b','b','b','b'], 'B':['x','y','z','x','y','z','x','y','z'], 'C':['a','b','a','b','a','b','a','b','a'], 'D':[7,5,3,4,1,6,5,3,1]}) table = pd.pivot_table(df, index=['A', 'B','C'],aggfunc='sum') table cm = sns.light_palette("blue", as_cmap=True) s = df.reset_index().style.background_gradient(cmap=cm) s

heatmap

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2 Comments

Thanks! Can you tell me how I can export it as a Seaborn Heatmap or something cleaner-looking like my sample?
Ok, you can try open Jupyter notebook. for me it open new tab in browser. Then you can create new notebook (right up) and it is possible download as html, pdf, rst...

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