How do I serialize dicts in Python using pandas?

In this guide, we will learn how to serialize dictionaries in Python using the Pandas library. Serialization is the process of converting a data structure into a format that can be easily stored and later reconstructed.
python, serialization, dictionaries, pandas, dataframes, python pandas
import pandas as pd # Creating a dictionary data = { 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35], 'City': ['New York', 'Los Angeles', 'Chicago'] } # Converting dictionary to DataFrame df = pd.DataFrame(data) # Serializing DataFrame to a CSV file df.to_csv('data.csv', index=False) # Deserializing the CSV back to a DataFrame df_new = pd.read_csv('data.csv') print(df_new)

python serialization dictionaries pandas dataframes python pandas

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?