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        "author": "Colin Dellow",
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        "description": "# csv2parquet\n\n[![Build Status](https://travis-ci.org/cldellow/csv2parquet.svg?branch=master)](https://travis-ci.org/cldellow/csv2parquet)\n[![codecov](https://codecov.io/gh/cldellow/csv2parquet/branch/master/graph/badge.svg)](https://codecov.io/gh/cldellow/csv2parquet)\n\nConvert a CSV to a parquet file. You may also find [sqlite-parquet-vtable](https://github.com/cldellow/sqlite-parquet-vtable) useful.\n\n## Installing\n\nIf you just want to use the tool:\n\n```\nsudo pip install pyarrow csv2parquet\n```\n\nIf you want to clone the repo and work on the tool, install its dependencies via pipenv:\n\n```\npipenv install\n```\n\n## Usage\n\nNext, create some Parquet files. The tool supports CSV and TSV files.\n\n```\nusage: csv2parquet [-h] [-n ROWS] [-r ROW_GROUP_SIZE] [-o OUTPUT] [-c CODEC]\n                   [-i INCLUDE [INCLUDE ...] | -x EXCLUDE [EXCLUDE ...]]\n                   [-R RENAME [RENAME ...]] [-t TYPE [TYPE ...]]\n                   csv_file\n\npositional arguments:\n  csv_file              input file, can be CSV or TSV\n\noptional arguments:\n  -h, --help            show this help message and exit\n  -n ROWS, --rows ROWS  The number of rows to include, useful for testing.\n  -r ROW_GROUP_SIZE, --row-group-size ROW_GROUP_SIZE\n                        The number of rows per row group.\n  -o OUTPUT, --output OUTPUT\n                        The parquet file\n  -c CODEC, --codec CODEC\n                        The compression codec to use (brotli, gzip, snappy,\n                        zstd, none)\n  -i INCLUDE [INCLUDE ...], --include INCLUDE [INCLUDE ...]\n                        Include the given columns (by index or name)\n  -x EXCLUDE [EXCLUDE ...], --exclude EXCLUDE [EXCLUDE ...]\n                        Exclude the given columns (by index or name)\n  -R RENAME [RENAME ...], --rename RENAME [RENAME ...]\n                        Rename a column. Specify the column to be renamed and\n                        its new name, eg: 0=age or person_age=age\n  -t TYPE [TYPE ...], --type TYPE [TYPE ...]\n                        Parse a column as a given type. Specify the column and\n                        its type, eg: 0=bool? or person_age=int8. Parse errors\n                        are fatal unless the type is followed by a question\n                        mark. Valid types are string (default), bool, int8,\n                        int16, int32, int64, float32, float64, timestamp\n```\n\n## Testing\n\n```\npylint csv2parquet\npytest\n```\n\n\n",
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