bigframes.pandas.DataFrame.copy#

DataFrame.copy()→DataFrame[source]#

Make a copy of this object’s indices and data.

A new object will be created with a copy of the calling object’s dataand indices. Modifications to the data or indices of the copy will notbe reflected in the original object.

Examples:

Modification in the original Series will not affect the copy Series:

>>>s=bpd.Series([1,2],index=["a","b"])>>>sa    1b    2dtype: Int64

>>>s_copy=s.copy()>>>s_copya    1b    2dtype: Int64

>>>s.loc['b']=22>>>sa     1b    22dtype: Int64>>>s_copya    1b    2dtype: Int64

Modification in the original DataFrame will not affect the copy DataFrame:

>>>df=bpd.DataFrame({'a':[1,3],'b':[2,4]})>>>df   a  b0  1  21  3  4[2 rows x 2 columns]

>>>df_copy=df.copy()>>>df_copy   a  b0  1  21  3  4[2 rows x 2 columns]

>>>df.loc[df["b"]==2,"b"]=22>>>df   a   b0  1  221  3   4[2 rows x 2 columns]>>>df_copy   a  b0  1  21  3  4[2 rows x 2 columns]

Returns:

Object type matches caller.

Return type:

bigframes.pandas.DataFrame orbigframes.pandas.Series