Capital-Bikeshare | View status of Captial Bikeshare stations
kandi X-RAY | Capital-Bikeshare Summary
kandi X-RAY | Capital-Bikeshare Summary
Note there are two versions here. One that uses Sinatra, one that is pure javascript (no server required). The javascript one is way cooler, the Sinatra one was easier to code.
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QUESTION
I'm working with the following dataset with hourly counts (df): The datframe has 8784 rows (for the year 2016, hourly).
I'd like to see if there are daily trends (e.g if there is an increase in the morning hours. For this i'd like to create a plot that has the hour of the day (from 0 to 24) on the x-axis and number of cyclists on the y axis (something like in the picture below from http://ofdataandscience.blogspot.co.uk/2013/03/capital-bikeshare-time-series-clustering.html).
I experimented with differet ways of pivot
, resample
and set_index
and plotting it with matplotlib, without success. In other words, i couldn't find a way to sum up every observation at a certain hour and then plot those for each weekday
Any ideas how to do this? Thanks in advance!
...ANSWER
Answered 2017-Apr-24 at 11:27I think you can use groupby
by hour
and weekday
and aggregate sum
(or maybe mean
), last reshape by unstack
and DataFrame.plot
:
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