How do I paginate dicts in Python using pandas?

In Python, you can easily paginate dictionaries using the pandas library. This can be particularly useful when dealing with large datasets, allowing you to view a subset of the data at a time.

Using the built-in functionalities of pandas, you can convert a dictionary into a DataFrame and then slice it according to your pagination needs.

Example of Paginating a Dictionary

import pandas as pd # Sample dictionary data = { 'Name': ['Alice', 'Bob', 'Charlie', 'David', 'Edward', 'Fiona'], 'Age': [24, 30, 22, 29, 35, 28], 'City': ['New York', 'Los Angeles', 'Chicago', 'Houston', 'Phoenix', 'San Diego'] } # Convert dictionary to DataFrame df = pd.DataFrame(data) # Function to paginate DataFrame def paginate(df, page_size, page_number): start = (page_number - 1) * page_size end = start + page_size return df.iloc[start:end] # Example usage page_size = 2 page_number = 1 result = paginate(df, page_size, page_number) print(result)

Pagination Python Pandas Dictionary DataFrame

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