close

How to read a Parquet file into Pandas DataFrame?

Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about How to read a Parquet file into Pandas DataFrame in Python. So Here I am Explain to you all the possible Methods here.

Without wasting your time, Let’s start This Article.

Table of Contents

How to read a Parquet file into Pandas DataFrame?

  1. How to read a Parquet file into Pandas DataFrame?

    pandas 0.21 introduces new functions for Parquet:
    pd.read_parquet('example_pa.parquet', engine='pyarrow')

  2. read a Parquet file into Pandas DataFrame

    pandas 0.21 introduces new functions for Parquet:
    pd.read_parquet('example_pa.parquet', engine='pyarrow')

Method 1

pandas 0.21 introduces new functions for Parquet:

pd.read_parquet('example_pa.parquet', engine='pyarrow')

or

pd.read_parquet('example_fp.parquet', engine='fastparquet')

The above link explains:

These engines are very similar and should read/write nearly identical parquet format files. These libraries differ by having different underlying dependencies (fastparquet by using numba, while pyarrow uses a c-library).

Method 2

Parquet files are always large. so read it using dask.

import dask.dataframe as dd
from dask import delayed
from fastparquet import ParquetFile
import glob

files = glob.glob('data/*.parquet')

@delayed
def load_chunk(path):
    return ParquetFile(path).to_pandas()

df = dd.from_delayed([load_chunk(f) for f in files])

df.compute()

Conclusion

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

Also, Read