Apache Parquet (to_parquet(), read_parquet()) is an efficient, compressed column-oriented file format that reads 10x faster than traditional CSV files for large datasets.
Pandas Parquet and Excel IO
Read and write high-performance column-oriented Parquet and Excel spreadsheets.
Key Takeaways: Pandas Parquet and Excel IO
Mastering Pandas Parquet and Excel IO helps you write clean and reliable Pandas code. Follow standard conventions, test edge cases, and keep logic simple. Try running the code example below and complete the exercises to build confidence.
Pandas Parquet and Excel IO Code Example
Pandasimport pandas as pd
df = pd.DataFrame({"id": [1, 2], "name": ["Alpha", "Beta"]})
# df.to_parquet("dataset.parquet")
# loaded = pd.read_parquet("dataset.parquet")
print("Ready for fast column IO.")Output
Ready for fast column IO.
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