This function is very useful because it is not necessary to create a new column to rename the column name we want to change. To rename a single column, we can use the pandas rename() function. Pandas Rename a single column using rename() So based on the key it will set the new column names.
It will take columns parameter with a dictionary and take new column names as values and old column names as keys. If ‘ignore’, existing keys will be renamed and extra keys will be ignored. Method 1 : change column names in pandas Using rename () The function rename () is used to change single or multiple columns at a time. In case of a MultiIndex, only rename labels in the specified level.Ĭontains labels that are not present in the Index being transformed. The rename() function can take 8 parameters: Nameĭict-like or function transformations to apply to that axis’ values. To explain these different points, we will use the following pandas dataframe: tzzs 11Seriesdf DataFrame.rename(mapperNone, indexNone, columnsNone, axisNone.
The Pandas library, available on python, allows to import data and to make quick analysis on loaded data. A pandas dataframe is a two-dimensional tabular data structure that can be modified in size with labeled axes that are commonly referred to as row and column labels, with different arithmetic operations aligned with the row and column labels.