pypi_packages
1 row where classifiers contains "License :: OSI Approved :: Apache Software License" and requires_dist contains "click (~=7.0)"
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| name ▼ | summary | classifiers | description | author | author_email | description_content_type | home_page | keywords | license | maintainer | maintainer_email | package_url | platform | project_url | project_urls | release_url | requires_dist | requires_python | version | yanked | yanked_reason |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| csvs-to-sqlite | Convert CSV files into a SQLite database | ["Intended Audience :: Developers", "Intended Audience :: End Users/Desktop", "Intended Audience :: Science/Research", "License :: OSI Approved :: Apache Software License", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Topic :: Database"] | # csvs-to-sqlite [](https://pypi.org/project/csvs-to-sqlite/) [](https://github.com/simonw/csvs-to-sqlite/releases) [](https://github.com/simonw/csvs-to-sqlite/actions?query=workflow%3ATest) [](https://github.com/simonw/csvs-to-sqlite/blob/main/LICENSE) Convert CSV files into a SQLite database. Browse and publish that SQLite database with [Datasette](https://github.com/simonw/datasette). Basic usage: csvs-to-sqlite myfile.csv mydatabase.db This will create a new SQLite database called `mydatabase.db` containing a single table, `myfile`, containing the CSV content. You can provide multiple CSV files: csvs-to-sqlite one.csv two.csv bundle.db The `bundle.db` database will contain two tables, `one` and `two`. This means you can use wildcards: csvs-to-sqlite ~/Downloads/*.csv my-downloads.db If you pass a path to one or more directories, the script will recursively search those directories for CSV files and create tables for each one. csvs-to-sqlite ~/path/to/directory all-my-csvs.db ## Handling TSV (tab-separated values) You can use the `-s` option to specify a different delimiter. If you want to use a tab character you'll need to apply shell escaping like so: csvs-to-sqlite my-file.tsv my-file.db -s $'\t' ## Refactoring columns into separate lookup tables Let's say you have a CSV file that looks like this: county,precinct,office,district,party,candidate,votes Clark,1,President,,REP,John R. Kasich,5 Clark,2,President,,REP,John R. Kasich,0 Clark,3,President,,REP,John R. Kasich,7 ([Real example taken from the Open Elections project](https://github.com/openelections/openelections-data-sd/blob/master/2016/20160607__sd__primary__clark__precinct.csv)) You can n… | Simon Willison | text/markdown | https://github.com/simonw/csvs-to-sqlite | Apache License, Version 2.0 | https://pypi.org/project/csvs-to-sqlite/ | https://pypi.org/project/csvs-to-sqlite/ | {"Homepage": "https://github.com/simonw/csvs-to-sqlite"} | https://pypi.org/project/csvs-to-sqlite/1.3/ | ["click (~=7.0)", "dateparser (>=1.0)", "pandas (>=1.0)", "py-lru-cache (~=0.1.4)", "six", "pytest ; extra == 'test'", "cogapp ; extra == 'test'"] | 1.3 | 0 |
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CREATE TABLE [pypi_packages] ( [name] TEXT PRIMARY KEY, [summary] TEXT, [classifiers] TEXT, [description] TEXT, [author] TEXT, [author_email] TEXT, [description_content_type] TEXT, [home_page] TEXT, [keywords] TEXT, [license] TEXT, [maintainer] TEXT, [maintainer_email] TEXT, [package_url] TEXT, [platform] TEXT, [project_url] TEXT, [project_urls] TEXT, [release_url] TEXT, [requires_dist] TEXT, [requires_python] TEXT, [version] TEXT, [yanked] INTEGER, [yanked_reason] TEXT );