How To Draw A Heatmap In Pandas With Items That Don't Occur In Both Columns
In How to draw a graphical count table in pandas I asked how to draw a heatmap from input data such as: customer1,customer2 a,b a,c a,c b,a b,c b,c c,c a,a b,c b,c The answer was
Solution 1:
Try this:
In [129]: df
Out[129]:
customer1 customer2
0 a b
1 a c
2 a c
3 b b
4 b c
5 b c
6 c c
7 a b
8 b c
9 b c
In [130]: x = df.pivot_table(index='customer1',columns='customer2',aggfunc='size',fill_value=0)
In [131]: idx = x.max(axis=1).sort_values(ascending=0).index
In [132]: cols = x.max().sort_values(ascending=0).index
In [133]: sns.heatmap(x[cols].reindex(idx), annot=True)
Out[133]: <matplotlib.axes._subplots.AxesSubplot at 0xbb22588>
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