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pandas
- Summary: Powerful data structures for data analysis, time series, and statistics
- Author:
- Homepage: https://pandas.pydata.org
- Source: https://github.com/pandas-dev/pandas
| Dependency | Optional |
|---|---|
| numpy | false |
| python-dateutil | false |
| pytz | false |
| tzdata | false |
| adbc-driver-postgresql | true |
| adbc-driver-sqlite | true |
| beautifulsoup4 | true |
| bottleneck | true |
| dataframe-api-compat | true |
| fastparquet | true |
| fsspec | true |
| gcsfs | true |
| html5lib | true |
| hypothesis | true |
| jinja2 | true |
| lxml | true |
| matplotlib | true |
| numba | true |
| numexpr | true |
| odfpy | true |
| openpyxl | true |
| pandas-gbq | true |
| psycopg2 | true |
| pyarrow | true |
| pymysql | true |
| PyQt5 | true |
| pyreadstat | true |
| pytest | true |
| pytest-xdist | true |
| python-calamine | true |
| pyxlsb | true |
| qtpy | true |
| s3fs | true |
| scipy | true |
| SQLAlchemy | true |
| tables | true |
| tabulate | true |
| xarray | true |
| xlrd | true |
| xlsxwriter | true |
| zstandard | true |