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Read partitioned parquet files into pandas DataFrame from Google Cloud Storage using PyArrow
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| 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 | |
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It worked perfectly for me! Thanks a bunch!