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Update interpolation in fill_from_pandas to handle NaN values #180

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Update interpolation in fill_from_pandas to handle NaN values #180

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3 changes: 2 additions & 1 deletion src/fair/io/fill_from.py
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Original file line number Diff line number Diff line change
Expand Up @@ -212,7 +212,8 @@ def fill_from_pandas(self, mode, df):
data_in = data_in.squeeze()

# interpolate from the supplied file to our desired timepoints
interpolator = interp1d(times_array, data_in, bounds_error=False)
mask_nan = ~np.isnan(data_in)
interpolator = interp1d(times_array[mask_nan], data_in[mask_nan], bounds_error=False, fill_value=0.)
data = interpolator(mode_time[mode])

# Parse and possibly convert unit in input to what FaIR wants
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