Python pandas time series interpolation and regularization
I am using Python Pandas for the first time. I have 5-min lag traffic data in csv format: ... 2015-01-04 08:29:05,271238 2015-01-04 08:34:05,329285 2015-01-04 08:39:05,-1 2015-01-04 08:44:05,260260 2015-01-04 08:49:05,263711 ... There are several issues: for some timestamps there's missing data (-1) missing entries (also 2/3 consecutive hours) the frequency of the observations is not exactly 5 minutes, but actually loses some seconds once in a while I would like to obtain a regular time series, so with entries every (exactly) 5 minutes (and no missing valus). I have successfully interpolated