Use an existing column as the key values and their respective values will be the values for new column. Right now this code will write three columns of data: csv_input['New Value'] = '' #simple and easy The column names Ι want to assign are: Sample code number: id number If not, check that post out! I am new to python and I have a csv file of the following type id, header1, header2 1, 80-80-20, a 2, 30,b 3,,c 4,60-20,d Now I would like to separate the values in header1 to new columns where the -is the "delimiter", i.e. Python: Add a column to an existing CSV file – thispointer.com, If using pandas is an option: import pandas as pd df = pd.read_csv('filename.csv') new_column = pd.DataFrame({'new_header': Add a column with same values to an existing CSV file. Add a new column in pandas python using existing column. In Python, Pandas Library provides a function to add columns i.e. Python: How to create a zip archive from multiple files or Directory; Python : How to remove a file if exists and handle errors | os.remove() | os.ulink() Python: How to append a new row to an existing csv file? Basically, it gets updated each time I run the Python script. The column has no name, and i have problem to add the column name, already tried reindex, pd.melt, rename, etc. Check out the newer post, about this topic, to learn more about converting columns in Python. not new columns. I have a csv file which is usually has between 100 and 200 columns. Right now I am storing the old csv rows values in a list and then deleting the csv file and creating it again with the new list value. To the existing dataframe, lets add new column named “Total_score” using by adding “Score1” and “Score2” using apply() function as shown below #### new columns based on existing columns df['Total_Score'] = df.apply(lambda row: row.Score1 + row.Score2, axis = 1) df DataFrame.assign(**kwargs) It accepts a keyword & value pairs, where a keyword is column name and value is either list / … Append a Column to Pandas Dataframe Example 2: I know if you open the file as "A" it will append the file, but I only know how to use it to add new rows to the document. Code faster with the Kite plugin for your code editor, featuring Line-of-Code Completions and cloudless processing. If you want that cell value doesn't gets copy, so first of all create a empty Column in your csv file manually, like you named it as Hours then, Now for this you can add this line in above code, csv_input['New Value'] = csv_input['Hours'] or simply we can, without adding the manual column, we can. it should look like this: id, header1, header2, header1_1, header1_2, header1_3 Kite is a free autocomplete for Python developers. After reading your data from a CSV file, renaming the column, and adding a new column, you also may need to change your data types to numeric. Python: Add a column to an existing CSV file; Python: How to unzip a file | Extract Single, multiple or all files from a ZIP archive I am trying to add a new row to my old csv file. Output: Method #4: By using a dictionary We can use a Python dictionary to add a new column in pandas DataFrame. 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