skrub.Expr.skb.concat#
- Expr.skb.concat(others, axis=0)[source]#
Concatenate dataframes vertically or horizontally.
- Parameters:
- others
list
of dataframes The dataframes to stack horizontally with
self
- axis{0, 1}, default 0
The axis to concatenate along. 0: stack vertically (rows) 1: stack horizontally (columns)
- others
- Returns:
- dataframe
The combined dataframes.
Examples
>>> import pandas as pd >>> import skrub >>> a = skrub.var('a', pd.DataFrame({'a1': [0], 'a2': [1]})) >>> b = skrub.var('b', pd.DataFrame({'b1': [2], 'b2': [3]})) >>> c = skrub.var('c', pd.DataFrame({'c1': [4], 'c2': [5]})) >>> d = skrub.var('d', pd.DataFrame({'c1': [6], 'c2': [7]})) >>> a <Var 'a'> Result: ――――――― a1 a2 0 0 1 >>> a.skb.concat([b, c], axis=1) <Concat: 3 dataframes> Result: ――――――― a1 a2 b1 b2 c1 c2 0 0 1 2 3 4 5
>>> c.skb.concat([d], axis=0) <Concat: 2 dataframes> Result: ――――――― c1 c2 0 4 5 1 6 7
Note that even if we want to concatenate a single dataframe we must still put it in a list:
>>> a.skb.concat([b], axis=1) <Concat: 2 dataframes> Result: ――――――― a1 a2 b1 b2 0 0 1 2 3