python csv to parquet

in this tutorial, we will learn how to convert data from a csv (comma-separated values) file to the parquet file format using python. parquet is a columnar storage format that is efficient for analytics and data processing tasks. we will use the pandas library to handle the csv data and the pyarrow library to convert it to parquet. make sure you have both libraries installed before proceeding:
first, import the necessary libraries:
here's the complete python script that reads a csv file and converts it to a parquet file:
you can customize the conversion to parquet by specifying options. for example, you can set compression options or choose specific columns to include in the parquet file. here's an example of how to specify compression and column selection:
to read parquet data back into a pandas dataframe, you can use the following code:
in this tutorial, you learned how to convert data from a csv file to the parquet file format in python using the pandas and pyarrow libraries. parquet is a great choice for efficient data storage and processing, especially for large datasets. you can further customize the conversion process and easily read parquet data back into pandas dataframes for analysis.
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