{"id":227801,"date":"2024-07-14T14:04:08","date_gmt":"2024-07-14T14:04:08","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/?p=227801"},"modified":"2024-07-14T14:04:08","modified_gmt":"2024-07-14T14:04:08","slug":"how-to-add-a-constant-value-column-to-dataframe-python-2","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/how-to-add-a-constant-value-column-to-dataframe-python-2\/","title":{"rendered":"How to add a constant value column to DataFrame Python?"},"content":{"rendered":"

Adding a constant value column to a DataFrame in Python is a common task in data analysis and manipulation. Whether you want to add a constant value to perform calculations or as a placeholder, Pandas provides a simple and efficient way to accomplish this. In this article, we will explore how to add a constant value column to a DataFrame using Python and Pandas.<\/p>\n

First, let’s create a sample DataFrame to work with:<\/p>\n

“`python
\nimport pandas as pd<\/p>\n

data = {‘Name’: [‘John’, ‘Emma’, ‘Mike’, ‘Sophia’],
\n ‘Age’: [35, 27, 40, 32]}
\ndf = pd.DataFrame(data)
\n“`<\/p>\n

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