0

You would expect that to be the case, however, by default `seaborn.pointplot`

uses the average estimator to calculate the number for each hour. So the numbers you are seeing on the y-axis is the average number of bikes shared for each hour. Since the number of bikes shared is not equal for category `workingday=0`

and `workingday=1`

the two averages for those categories do not add up. Using `estimator=sum`

for `seaborn.pointplot`

does give the expected results.

you are right I missed "It is important to keep in mind that a point plot shows only the mean (or other estimator) value" in https://seaborn.pydata.org/generated/seaborn.pointplot.html

– 흐음흐음 – 2020-02-09T13:43:43.637