<\/span><\/h2>\nThe simplest and most straightforward way to assign a new value to a data point is by using the loc[]<\/code> and iloc[]<\/code> methods, which allow accessing and modifying specific data in a DataFrame by label-based or integer-based indexing respectively.<\/p>\n# Import pandas library
\nimport pandas as pd
\n
\n# Create a sample DataFrame
\ndata = {'Name': ['John', 'Emma', 'Sam', 'Sarah'],
\n 'Age': [25, 30, 35, 40]}
\ndf = pd.DataFrame(data)
\n
\n# Assign a new value to a data point using loc[]
\ndf.loc[1, 'Age'] = 32
\n
\n# Assign a new value to a data point using iloc[]
\ndf.iloc[2, 1] = 37
\n
\n# Display the updated DataFrame
\nprint(df)
\n<\/code><\/pre>\nThe answer to the question “How to assign new value to data point in Pandas DataFrame?” is to use the loc[]<\/code> and iloc[]<\/code> methods.<\/strong><\/p>\n