bigframes.pandas.Series.interpolate#

Series.interpolate(method: str = 'linear') → Series[source]#

Fill NaN values using an interpolation method.

Examples:

Filling in NaN in a Series via linear interpolation.

>>> s = bpd.Series([0, 1, np.nan, 3])
>>> s
0     0.0
1     1.0
2    <NA>
3     3.0
dtype: Float64

>>> s.interpolate()
0    0.0
1    1.0
2    2.0
3    3.0
dtype: Float64

Parameters:: method (str, default 'linear') – Interpolation technique to use. Only ‘linear’ supported. ‘linear’: Ignore the index and treat the values as equally spaced. This is the only method supported on MultiIndexes. ‘index’, ‘values’: use the actual numerical values of the index. ‘pad’: Fill in NaNs using existing values. ‘nearest’, ‘zero’, ‘slinear’: Emulates scipy.interpolate.interp1d
Returns:: Returns the same object type as the caller, interpolated at some or all NaN values
Return type:: bigframes.pandas.Series