[Tut] Python Convert Parquet to CSV

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Python Convert Parquet to CSV

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Problem

Challenge: How to convert a Parquet file

Code:

'my_file.parquet'

to a CSV file

Code:

'my_file.csv'

in Python?

In case you don’t know what a Parquet file is, here’s the definition:

Info: Apache Parquet is an open-source, column-oriented data file format designed for efficient data storage and retrieval using data compression and encoding schemes to handle complex data in bulk. Parquet is available in multiple languages including Java, C++, and Python.

Here’s an example Parquet file format:

source

Solution

The most simple way to convert a Parquet to a CSV file in Python is to import the Pandas library, call the

Code:

pandas.read_parquet()

function passing the

Code:

'my_file.parquet'

filename argument to load the file content into a DataFrame, and convert the DataFrame to a CSV using the DataFrame

Code:

to_csv()

method.

• Code:

  import pandas as pd
  
  
• Code:

  df = pd.read_parquet('my_file.parquet')
  
  
• Code:

  df.to_csv('my_file.csv')

Here’s a minimal example:

Code:

import pandas as pd df = pd.read_parquet('my_file.parquet') df.to_csv('my_file.csv')

For this to work, you may have to install pandas and pyarrow. But if I were you, I’d just try it because chances are you’ve already installed them or don’t explicitly need to install the PyArrow library.

Related

Related Tutorial: Python Convert CSV to Parquet

I also found this video from a great YT channel that concerns this particular problem of converting a Parquet to a CSV: