-
-
Save alexlib/7ea18a5e34e39beed9a75e182bcc6e52 to your computer and use it in GitHub Desktop.
Read partitioned parquet files into pandas DataFrame from Google Cloud Storage using PyArrow
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import gcsfs | |
| import pyarrow | |
| def read_parquet(gs_directory_path, to_pandas=True): | |
| """ | |
| Reads multiple (partitioned) parquet files from a GS directory | |
| e.g. 'gs://<bucket>/<directory>' (without ending /) | |
| """ | |
| gs = gcsfs.GCSFileSystem() | |
| arrow_df = pyarrow.parquet.ParquetDataset(gs_directory_path, filesystem=gs) | |
| if to_pandas: | |
| return arrow_df.read_pandas().to_pandas() | |
| return arrow_df | |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment