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)
Approach
- Import required libraries
- Create or import data
- Add a new column with all zeroes.
Example 1:
Python3
# import pandas libraryimport pandas as pd # creating dictionary of listsdict = {'name': ["sohom", "rakesh", "rajshekhar", "sumit"], 'department': ["ECE", "CSE", "EE", "MCA"], 'CGPA': [9.2, 8.7, 8.6, 7.7]} # creating a dataframedf = pd.DataFrame(dict) print("data frame before adding the column:")display(df) # creating a new column# of zeroes to the# dataframedf['new'] = 0 # showing the dataframeprint("data frame after adding the column:")display(df) |
Output:
Example 2:
Python3
# import pandas libraryimport pandas as pd # create datadata = [["Lazyroar", 1], ["for", 2], ["best", 3]] # creating a dataframedf = pd.DataFrame(data, columns=['col1', 'col2']) print("data frame before adding the column:")display(df) # creating a new column with all zero entriesdf['col3'] = 0 # showing the dataframeprint("data frame after adding the column:")display(df) |
Output:
