Pandas Resample Interpolate Returns Nan, api. I am trying to resample and interpolate between time series data. ‘outside’: Only fill NaNs outside valid values (extrapolate). Currently, interpolate() as part of resample() currently fills in all existing NaN values: import pandas as pd all_times = pd. fillna # final Resampler. # Interpolate missing values . nearest, and I found different outputs from the two methods when there is missing data at the trailing. How is this Downsample the series into 3 minute bins as above, but label each bin using the right edge instead of the left. interpolate () in Pandas, it seems unable to interpolate for the first few points, for which there is sufficient data. resample('M') interpolated = upsampled.

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