To rename a single column, we can use the pandas rename() function. tzzs 11Seriesdf DataFrame.rename(mapperNone, indexNone, columnsNone, axisNone. Pandas Rename a single column using rename() If ‘ignore’, existing keys will be renamed and extra keys will be ignored. 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: Use set_axis() to change all your column names.In this tutorial we will discuss different ways of renaming column names: We will see that the rename() function is very useful for this kind of situation but it is not the only option. This allows you to correct a spelling mistake, for example, or to give more comprehensive column names. df.columns 'NFLX', 'AAPL', 'GOOGL', 'FB', 'TSLA' However, there are ways to make large chunks of your code more concise which also allow you to specify the stock names as column names cleanly.
#Dataframe rename column Patch#
When manipulating data, it may be necessary to modify the names of specific columns in a dataframe. 2 Answers Sorted by: 3 A simple way to patch up the code you've written is to just assign a list of names to df.columns. 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.
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