bigframes.geopandas.GeoSeries.combine#

GeoSeries.combine(other,func)→Series#

Combine the Series with a Series or scalar according tofunc.

Combine the Series andother usingfunc to perform elementwiseselection for combined Series.fill_value is assumed when value is missing at some indexfrom one of the two objects being combined.

Examples:

Consider 2 Datasetss1 ands2 containinghighest clocked speeds of different birds.

>>>importbigframes.pandasasbpd>>>s1=bpd.Series({'falcon':330.0,'eagle':160.0})>>>s1falcon    330.0eagle     160.0dtype: Float64>>>s2=bpd.Series({'falcon':345.0,'eagle':200.0,'duck':30.0})>>>s2falcon    345.0eagle     200.0duck       30.0dtype: Float64

Now, to combine the two datasets and view the highest speedsof the birds across the two datasets

>>>s1.combine(s2,np.maximum)falcon    345.0eagle     200.0duck       <NA>dtype: Float64

Parameters:

• other (Series orscalar) – The value(s) to be combined with theSeries.

• func (function) – BigFrames DataFramesremote_function to apply.Takes two scalars as inputs and returns an element.Also accepts some numpy binary functions.

Returns:

The result of combining the Series with the other object.

Return type:

bigframes.pandas.Series