I have a pandas dataframe with three columns (A,B,C). I have drawn a regression line of A vs B using
sns.lmplot(x='A', y='B', data = df, x_bins=10, ci=None)
I am using 10 bins and no confidence interval as I have a large number (~5million) datapoints.
I would like to show the value of C on this plot. C has nothing to do with the regression of A against B. I would just like to show C by making the marker size of each bin equal to the average value of C within that bin.
It seems seaborn doesn't have a markersize parameter that can be set equal to a column of the dataframe. Is this even possible?
I cam across this stackexchange post which suggests using scatter_kws={"s": 100} to set the marker size. However, when I tried scatter_kws={"s": df['C']} it threw an error.
If this is not possible in seaborn, are there any alternative solutions?
