pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way towards this goal.
| Uploaded | Mon Mar 31 00:41:57 2025 |
| md5 checksum | c4bd4c94c97ac74003acb2db7647b911 |
| arch | x86_64 |
| build | py310h1128e8f_0 |
| constrains | pyreadstat >=1.1.5, zstandard >=0.17.0, pyqt >=5.15.6,<6, qtpy >=2.2.0, gcsfs >=2022.05.0, blosc >=1.21.0, lxml >=4.8.0, odfpy>=1.4.1, xlrd >=2.0.1, jinja2 >=3.1.2, matplotlib-base >=3.6.1, fastparquet >=0.8.1, numba >=0.55.2, pyxlsb >=1.0.9, xarray >=2022.03.0, pyarrow >=7.0.0, s3fs >=2022.05.0, tabulate >=0.8.10, pandas-gbq >=0.17.5, psycopg2 >=2.9.3, openpyxl >=3.0.10, xlsxwriter >=3.0.3, scipy >=1.8.1, dataframe-api-compat >=0.1.7, sqlalchemy >=1.4.36, fsspec >=2022.05.0, beautifulsoup4 >=4.11.1, pymysql >=1.0.2, html5lib >=1.1, pytables >=3.7.0 |
| depends | bottleneck >=1.3.4, libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numexpr >=2.8.0, numpy >=1.21.5,<2.0a0, python >=3.10,<3.11.0a0, python-dateutil >=2.8.2, python-tzdata >=2022.1, pytz >=2020.1 |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | c4bd4c94c97ac74003acb2db7647b911 |
| name | pandas |
| platform | linux |
| sha1 | b793ebc8a3ad2e9ecf137cc9783d175a49e9dcdc |
| sha256 | a663e8b4cb6c7c1090beeb349400d0c6242218b3a5bc0db3d2943e4932b1d59a |
| size | 13042529 |
| subdir | linux-64 |
| timestamp | 1697478378084 |
| version | 2.1.1 |