Add zero columns to Pandas Dataframe Last Updated : 11 Dec, 2020 Comments Improve Suggest changes Like Article Like Report Prerequisites: Pandas The task here is to generate a Python program using its Pandas module that can add a column with all entries as zero to an existing dataframe. A Dataframe is a two-dimensional, size-mutable, potentially heterogeneous tabular data.It is used to represent data in tabular form like an Excel file format. Below is the syntax for creating a dataframe in pandas. It can be imagines as a dictionary like container for series object. Syntax: DataFrame(data=None, index=None, columns=None, dtype=None, copy=False) ApproachImport required librariesCreate or import dataAdd a new column with all zeroes. Example 1: Python3 # import pandas library import pandas as pd # creating dictionary of lists dict = {'name': ["sohom", "rakesh", "rajshekhar", "sumit"], 'department': ["ECE", "CSE", "EE", "MCA"], 'CGPA': [9.2, 8.7, 8.6, 7.7]} # creating a dataframe df = pd.DataFrame(dict) print("data frame before adding the column:") display(df) # creating a new column # of zeroes to the # dataframe df['new'] = 0 # showing the dataframe print("data frame after adding the column:") display(df) Output: Example 2: Python3 # import pandas library import pandas as pd # create data data = [["geeks", 1], ["for", 2], ["best", 3]] # creating a dataframe df = pd.DataFrame(data, columns=['col1', 'col2']) print("data frame before adding the column:") display(df) # creating a new column with all zero entries df['col3'] = 0 # showing the dataframe print("data frame after adding the column:") display(df) Output: Comment More infoAdvertise with us Next Article Add zero columns to Pandas Dataframe D dassohom5 Follow Improve Article Tags : Technical Scripter Python Technical Scripter 2020 Python-pandas Python pandas-dataFrame +1 More Practice Tags : python Similar Reads Add column names to dataframe in Pandas Sometimes, Pandas DataFrames are created without column names, or with generic default names (like 0, 1, 2, etc.). 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