bigframes.geopandas.GeoSeries.drop#

GeoSeries.drop(labels:Any=None,*,axis:int|str=0,index:Any=None,columns:Hashable|Iterable[Hashable]=None,level:str|int|None=None)→Series#

Return Series with specified index labels removed.

Remove elements of a Series based on specifying the index labels.When using a multi-index, labels on different levels can be removedby specifying the level.

Examples:

>>>s=bpd.Series(data=np.arange(3),index=['A','B','C'])>>>sA    0B    1C    2dtype: Int64

Drop labels B and C:

>>>s.drop(labels=['B','C'])A    0dtype: Int64

Drop 2nd level label in MultiIndex Series:

>>>midx=pd.MultiIndex(levels=[['llama','cow','falcon'],...['speed','weight','length']],...codes=[[0,0,0,1,1,1,2,2,2],...[0,1,2,0,1,2,0,1,2]])

>>>s=bpd.Series([45,200,1.2,30,250,1.5,320,1,0.3],...index=midx)>>>sllama   speed      45.0        weight    200.0        length      1.2cow     speed      30.0        weight    250.0        length      1.5falcon  speed     320.0        weight      1.0        length      0.3dtype: Float64

>>>s.drop(labels='weight',level=1)llama   speed      45.0        length      1.2cow     speed      30.0        length      1.5falcon  speed     320.0        length      0.3dtype: Float64

Parameters:

• labels (single label orlist-like) – Index labels to drop.

• axis – Unused. Parameter needed for compatibility with DataFrame.

• index – Redundant for application on Series, but ‘index’ can be used insteadof ‘labels’.

• columns – No change is made to the Series; use ‘index’ or ‘labels’ instead.

• level – For MultiIndex, level for which the labels will be removed.

Returns:

Series with specified index labels removedor None ifinplace=True.

Return type:

bigframes.pandas.Series or None

Raises:

KeyError – If none of the labels are found in the index.