Parquet to CSV converter

Trusted by over 20,000 every month

Convert Parquet to CSV online

With our online Parquet to CSV converter you can convert your files without downloading any software or writing code. Unlike other services, you can make graphs from your converted data or perform analysis. Just click the navigation on the left hand side.

Convert Parquet to CSV online

Works with large Parquet files that have millions of rows

View your converted CSV data before downloading it

Parquet

Apache Parquet (.parquet) is a format that was designed for storing tabular data on disk. It was designed based on the format used in Google's Dremel paper (Dremel later became Big Query).

Parquet files store data in a binary format, which means that they can be efficiently read by computers but are difficult for people to read.

Parquet files have a schema, so means that every value in a column must have the same type. The schema makes Parquet files easier to analyse than CSV files and also helps them to have better compression so they are smaller on disk.

CSV

CSV (Comma Separated Values) files are the most common format for storing tabular data. Values in a row are separated by commas and rows are separated by newlines.

CSV files often start with a header row that has column names, but this is not required.

Each row in a CSV file must have the same number of values as the header row.

CSV files do no enforce types or a schema. This means that each column can have multiple types, which can make analysis difficult and compression inefficient.

Parquet files can be easier to analyze and compress better than CSV files.

How to convert Parquet to CSV

  1. Upload your Parquet file
  2. Your Parquet file will be converted to CSV
  3. Download your CSV file
  4. Click the view button to view your file

How to convert Parquet to CSV in Python

We can convert Parquet to CSV in Python using Pandas or DuckDB

How to Convert Parquet to CSV using Pandas

First, we need to install pandas

pip install pandas

Then we can load the Parquet file into a dataframe

df = pd.read_parquet('path/to/file.parquet')

Finally, we can export the dataframe to the CSV format

df.to_csv('/path/to/file.csv', index=False)

How to Convert Parquet to CSV using DuckDB

First, we need to install duckdb for Python

pip install duckdb

The following duckdb query will copy the contents of a single Parquet file to a CSV file

duckdb.sql("""COPY (select * from 'path/to/file.parquet') TO 'path/to/file.csv' (HEADER, FORMAT 'csv')""")

If you have more than one Parquet file with the same schema (e.g. your Parquet files are partitioned) then you can use the following

duckdb.sql("""COPY (select * from read_parquet(['path/to/file1.parquet', 'path/to/file2.parquet'])) TO 'path/to/file.csv' (HEADER, FORMAT 'csv')""")

Parquet viewer

View and explore Parquet files.

Parquet graph maker

Make graphs from Parquet files

Merge Parquet

Combine Parquet files.

Filter Parquet

Filter Parquet files online

Sort Parquet

Sort Parquet files online

Parquet bar graph maker

Make bar graphs from Parquet files

Parquet scatter plot maker

Make scatter plots from Parquet files

MT cars

Motor Trends Car Road Tests dataset.

filename

mtcars.csv

rows

32

Flights 1m

1 Million flights including arrival and departure delays.

filename

flights-1m.csv

rows

1000000

Iris

Iris plant species data set.

filename

iris.csv

rows

50

House price

Housing price dataset.

filename

house-price.csv

rows

545

Weather

Weather dataset with temperature, rainfall, sunshine and wind measurements.

filename

weather.csv

rows

366