python - How to read a list of parquet files from S3 as a pandas dataframe using pyarrow?

Python - How to read a list of parquet files from S3 as a pandas dataframe using pyarrow?

To read a list of Parquet files from Amazon S3 as a Pandas DataFrame using PyArrow, you can use the pyarrow.parquet.ParquetDataset class to create a dataset from the list of file paths, and then use pyarrow.parquet.read_table to read the Parquet files into a PyArrow Table. Finally, you can convert the PyArrow Table to a Pandas DataFrame using the to_pandas method.

Here's an example:

import pyarrow.parquet as pq import pandas as pd # Replace 'your_bucket' and 'your_folder' with your S3 bucket and folder path s3_bucket = 'your_bucket' s3_folder = 'your_folder' # List of Parquet file paths in S3 parquet_files = [ f's3://{s3_bucket}/{s3_folder}/file1.parquet', f's3://{s3_bucket}/{s3_folder}/file2.parquet', # Add more file paths as needed ] # Create a PyArrow Parquet dataset from the list of file paths dataset = pq.ParquetDataset(parquet_files) # Read the Parquet files into a PyArrow Table table = dataset.read() # Convert the PyArrow Table to a Pandas DataFrame df = table.to_pandas() # Display the Pandas DataFrame print(df)

Make sure to replace 'your_bucket' and 'your_folder' with your actual S3 bucket name and folder path. Also, add all the necessary Parquet file paths to the parquet_files list.

Note: Ensure that you have the necessary credentials configured to access your S3 bucket, and you may need to install the required libraries if you haven't already:

pip install pyarrow pandas

Adjust the code based on your specific use case and file locations.

Examples

  1. "Read Parquet files from S3 using PyArrow and convert to Pandas DataFrame"

    • Code:
      import pyarrow.parquet as pq import pandas as pd s3_path = 's3://your_bucket/your_folder/' files = ['file1.parquet', 'file2.parquet'] dfs = [pq.read_table(f's3://{s3_path}{file}').to_pandas() for file in files] combined_df = pd.concat(dfs, ignore_index=True)
    • Description: Reads a list of Parquet files from an S3 path using PyArrow and combines them into a single Pandas DataFrame.

  2. "PyArrow read Parquet files from S3 and merge into Pandas DataFrame"

    • Code:
      import pyarrow.parquet as pq import pandas as pd s3_path = 's3://your_bucket/your_folder/' files = ['file1.parquet', 'file2.parquet'] dfs = [pq.read_table(f's3://{s3_path}{file}').to_pandas() for file in files] combined_df = pd.concat(dfs, ignore_index=True)
    • Description: Utilizes PyArrow to read Parquet files from S3 and combines them into a Pandas DataFrame.

  3. "Read multiple Parquet files from S3 into Pandas DataFrame using PyArrow"

    • Code:
      import pyarrow.parquet as pq import pandas as pd s3_path = 's3://your_bucket/your_folder/' files = ['file1.parquet', 'file2.parquet'] dfs = [pq.read_table(f's3://{s3_path}{file}').to_pandas() for file in files] combined_df = pd.concat(dfs, ignore_index=True)
    • Description: Reads a list of Parquet files from S3 using PyArrow and combines them into a Pandas DataFrame.

  4. "Python PyArrow read Parquet files from S3 and concatenate into Pandas DataFrame"

    • Code:
      import pyarrow.parquet as pq import pandas as pd s3_path = 's3://your_bucket/your_folder/' files = ['file1.parquet', 'file2.parquet'] dfs = [pq.read_table(f's3://{s3_path}{file}').to_pandas() for file in files] combined_df = pd.concat(dfs, ignore_index=True)
    • Description: Uses PyArrow to read Parquet files from S3 and concatenates them into a Pandas DataFrame.

  5. "PyArrow read multiple Parquet files from S3 and merge into Pandas DataFrame"

    • Code:
      import pyarrow.parquet as pq import pandas as pd s3_path = 's3://your_bucket/your_folder/' files = ['file1.parquet', 'file2.parquet'] dfs = [pq.read_table(f's3://{s3_path}{file}').to_pandas() for file in files] combined_df = pd.concat(dfs, ignore_index=True)
    • Description: Employs PyArrow to read multiple Parquet files from S3 and merges them into a Pandas DataFrame.

  6. "Read Parquet files from S3 bucket using PyArrow and create Pandas DataFrame"

    • Code:
      import pyarrow.parquet as pq import pandas as pd s3_path = 's3://your_bucket/your_folder/' files = ['file1.parquet', 'file2.parquet'] dfs = [pq.read_table(f's3://{s3_path}{file}').to_pandas() for file in files] combined_df = pd.concat(dfs, ignore_index=True)
    • Description: Reads Parquet files from an S3 bucket using PyArrow and creates a Pandas DataFrame.

  7. "Python PyArrow read Parquet files from S3 as Pandas DataFrame"

    • Code:
      import pyarrow.parquet as pq import pandas as pd s3_path = 's3://your_bucket/your_folder/' files = ['file1.parquet', 'file2.parquet'] dfs = [pq.read_table(f's3://{s3_path}{file}').to_pandas() for file in files] combined_df = pd.concat(dfs, ignore_index=True)
    • Description: Uses PyArrow to read Parquet files from S3 and converts them into a Pandas DataFrame.

  8. "Read and merge Parquet files from S3 to Pandas DataFrame with PyArrow"

    • Code:
      import pyarrow.parquet as pq import pandas as pd s3_path = 's3://your_bucket/your_folder/' files = ['file1.parquet', 'file2.parquet'] dfs = [pq.read_table(f's3://{s3_path}{file}').to_pandas() for file in files] combined_df = pd.concat(dfs, ignore_index=True)
    • Description: Reads and merges Parquet files from S3 into a Pandas DataFrame using PyArrow.

  9. "Python PyArrow read Parquet files from S3 and convert to Pandas DataFrame"

    • Code:
      import pyarrow.parquet as pq import pandas as pd s3_path = 's3://your_bucket/your_folder/' files = ['file1.parquet', 'file2.parquet'] dfs = [pq.read_table(f's3://{s3_path}{file}').to_pandas() for file in files] combined_df = pd.concat(dfs, ignore_index=True)
    • Description: Employs PyArrow to read Parquet files from S3 and transforms them into a Pandas DataFrame.

  10. "Read Parquet files from S3 using PyArrow and create Pandas DataFrame from list"

    • Code:
      import pyarrow.parquet as pq import pandas as pd s3_path = 's3://your_bucket/your_folder/' files = ['file1.parquet', 'file2.parquet'] dfs = [pq.read_table(f's3://{s3_path}{file}').to_pandas() for file in files] combined_df = pd.concat(dfs, ignore_index=True)
    • Description: Reads Parquet files from S3 using PyArrow and creates a Pandas DataFrame from the list of files.

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