Here’s a good tutorial that you might want to follow to accomplish that. If needed, you might want to remove unnamed columns from your DataFrame. pandas DataFrame provides various functions such as rename(), setaxis(), addprefix(), and addsuffix() to rename the columns of the DataFrame. For example: hr.columns = Drop unnamed columns off your DataFrame This will return the column index: Index(, dtype='object') Assign new column names to the DataFrameĪn additional possibility, probably less elegant, is to directly assign into the Dataframe column index using a list. To find out the updated columns names, use the df.columns attribute. I'm trying to rename the column but I get de following error: TypeError: 'list' object is not callable. We will use the DataFrame rename() method and pass a Python mapping dictionary containing one or more columns to be renamed: hr.rename(columns =, inplace = True) I'm working with a little dataframe it has a column with dates. Hr = pd.read_clipboard() Rename an unnamed column Import the pandas library and use the pd.read_clipboard() method to create a simple DataFrame in your Jupyter or Colab notebook (or any other Python environment you might be using for Data Analysis.Īs mentioned above, feel free to copy the table then use the following snippet to construct your example HR DataFrame: import pandas as pd You can copy the table posted below to follow up with this tutorial. columns attribute allows you to specify a list of values to use as column labels. rename () method allows you to pass in existing labels and the ones you want to use. 3 Ways to Rename Columns in Pandas DataFrame In 3: DataFrame(data). You would like to tidy your data by either maintaining the relevant columns, or simply delete the unnecessary ones. To rename columns in a Pandas DataFrame, you have two options: using the rename () method or the columns attribute. It allows us to specify the columns’ names to be changed in the form of a dictionary with the keys and values as the current and new names of the respective columns. The data contains columns that are unnamed which is obviously confusing. This method is a way to rename the required columns in Pandas. With 0.21+, you can now specify an axis parameter with rename: df.rename()ĭf_renamed = df.rename(columns=lambda x: x + '2' if x in else x)ĭf_renamed = df.rename(columns=rename_some)ĭf_renamed = df.To mass rename columns without name in pandas use the following code: your_df.rename (columns = ('col_to_be_renamed':'new_name'), inplace=True) Understanding the use caseĪssume that you have acquired some data into your DataFrame from a CSV or Excel file. If we have our labeled DataFrame already created, the simplest method for overwriting the column labels is to call the columns method on the DataFrame object. Rename with axis=1 df = pd.DataFrame('x', columns=, index=range(5)) Options are available for in-place modification as well. If you need to rename ALL columns at once, This method allows you to specify a new name for one or more columns. The dictionary should contain the column names that need to be renamed as the keys. To rename the columns of a DataFrame in Pandas, you can use the DataFrame.rename() method. The new name replaces the corresponding old name of the column in the data frame. The columns of the data frame can be renamed by specifying the new column names as a vector. The rename() method, when invoked on a dataframe, takes a dictionary as its input argument. The method takes a mapping of old to new column names, so you can rename as many as you wish. Method 1: using colnames () method colnames () method in R is used to rename and replace the column names of the data frame in R. How do I rename a specific column in pandas?įrom v0.24+, to rename one (or more) columns at a time,ĭataFrame.rename() with axis=1 or axis='columns' (the axis argument was introduced in v0.21. Change Column Name Using rename() Method in a DataFrame We can use the rename() method to rename multiple columns using the index numbers.
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