如何使用“groupby”的结果绘制 Seaborn FacetGrid？

Question

I have the following pandas Dataframe :

             A  B              C
0   2017-01-01  1   4.199197e+06
1   2017-01-01  2   8.708300e+06
2   2017-01-01  3   5.401463e+06

the result of a groupby operation:

tot_reg = (sales.groupby(['A', 'B'])[['C']]
           .sum()
           .reset_index())

I would like an Seaborn sns.Facetgrid plotting A on the x-axis, C on the y-axis, for every B there is, I have:

sns.FacetGrid(tot_reg, col='B', col_wrap=4)

but although it does count the unique B and draws the correct number of subplots, the plots are empty.

How do I plot a Seaborn FacetGrid with the result of the groupby ?

Answer 1

You need to map the plot command to facetgrid:

fg = sns.FacetGrid(df, col='B', col_wrap=4)
fg.map(sns.scatterplot, 'A','C')

Output: