In Pandas DataFrames, their methods for interpolating and fillna have a limit keyword, which essentially cuts the imputing routine short after a certain number of fills.
This is useful if you want to forward fill timeseries data by a "reasonable" amount, but not necessarily to the next point. Is this implemented somewhere else, or would it be useful in this package? Or is there a trivial workaround I haven't thought of. I'm not averse to trying to implement it myself.
Please take a look at #117 to confirm that it does what you'd like. LOCF and NOCB will fill up-to the limit, but Interpolate will only fill gap_sz <= limit.
Hi,
In Pandas DataFrames, their methods for interpolating and fillna have a
limit
keyword, which essentially cuts the imputing routine short after a certain number of fills.This is useful if you want to forward fill timeseries data by a "reasonable" amount, but not necessarily to the next point. Is this implemented somewhere else, or would it be useful in this package? Or is there a trivial workaround I haven't thought of. I'm not averse to trying to implement it myself.
Thanks!