df1['01 h'] =df1['15min'].rolling(window=4,center=False).sum()
Note that the window=4 parameter means that it will accumulate 4 lines of 15 minute data, resulting in 1 hour precipitation. This parameter can be changed to whatever duration you want.
Showing posts with label rolling. Show all posts
Showing posts with label rolling. Show all posts
Friday, January 26, 2018
Accumulating Precipitation Data
If we have a pandas dataframe named df1 with a column '15min' containing 15 minute precipitation data, we can easily accumulate for other durations, using the rolling method as shown in the example below:
Note that the window=4 parameter means that it will accumulate 4 lines of 15 minute data, resulting in 1 hour precipitation. This parameter can be changed to whatever duration you want.
Note that the window=4 parameter means that it will accumulate 4 lines of 15 minute data, resulting in 1 hour precipitation. This parameter can be changed to whatever duration you want.
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