Source: pandas Maintainer: Debian Science Team Uploaders: Yaroslav Halchenko , Michael Hanke , Rebecca N. Palmer Section: python Priority: optional Build-Depends: debhelper-compat (= 13), dh-python, faketime, locales-all, python3-all-dev, cython3 (>= 0.29.33~), # we don't have this version python3-blosc (>= 1.21.0~) , python3-bottleneck (>= 1.3.4~) , python3-bs4 (>= 4.11.1~) , python3-dask (>= 2023.2.0~) , python3-dateutil, python3-fsspec (>= 2022.05.0~) , python3-html5lib (>= 1.1~) , python3-hypothesis (>= 6.46.1~) , python3-jinja2 (>= 3.1.2~) , python3-lxml (>= 4.8.0~) , python3-matplotlib (>= 3.6.1~) [!ia64 !loong64 !powerpc !sparc64 !x32] , # numba has a history of bugs on non-x86, e.g. #1033907 # architectures here are the ones on which to treat numba-related failures as RC - see also debian/tests/control # temporarily disabled as numba is not in testing #1033907 python3-numba (>= 0.55.2~) [amd64 i386 ppc64el] , python3-numexpr (>= 2.8.0~) , python3-numpy (>= 1:1.23.2~), python3-odf (>= 1.4.1~) , python3-openpyxl (>= 3.0.10~) , # doesn't seem to work in this test environment python3-psycopg2 (>= 2.9.3~) , python3-py , # doesn't seem to work in this test environment python3-pymysql (>= 1.0.2~) , python3-pyreadstat (>= 1.1.5~) [!ia64 !loong64 !sparc64 !x32] , python3-pytest (>= 7.3.2~) , python3-pytest-asyncio (>= 0.17~) , python3-pytest-forked , python3-pytest-localserver , python3-pytest-xdist (>= 2.2.0~) , # we don't have python3-pyxlsb python3-scipy (>= 1.8.1~), python3-setuptools (>= 51~), # we don't have this version python3-snappy (>= 0.6.0~) , python3-sqlalchemy (>= 1.4.36~) [!ia64 !hppa !sh4 !x32] , python3-tables (>= 3.7.0~) , # we don't have this version python3-tabulate (>= 0.8.10~) , python3-tk , python3-tz (>= 2022.1~) , # we don't have this version python3-xlrd (>= 2.0.1~) , # we don't have this version python3-xlsxwriter (>= 3.0.3~) , python3-versioneer, python3-zstandard (>= 0.17.0~) , sphinx-common, # for tests/examples that use old-style timezone names tzdata-legacy , xvfb , xauth , xsel Build-Depends-Indep: python3-sphinx , python3-sphinx-copybutton , python3-sphinx-design , python3-pydata-sphinx-theme , python3-ipykernel , python3-notebook (>= 6.0.3~) , python3-nbconvert (>= 6.4.5~) , python3-nbsphinx , python3-numpydoc , python3-pygments , ipython3 (>= 7.11.1~) , jdupes , # for style.ipynb pandoc , # for intersphinx inventories python3-doc , # no longer exists python-numpy-doc , python-scipy-doc , # no longer exists python-matplotlib-doc , python-statsmodels-doc , # these are for not having (as many) exception messages in documentation examples # so may be temporarily removed if they are broken or to break bootstrap cycles # not in Debian (not to be confused with python3-arrow) python3-pyarrow , #fails with KeyError 'state', possibly nbconvert bug 1731 python3-ipywidgets , python3-rpy2 , python3-seaborn , python3-sqlalchemy , python3-statsmodels , python3-xarray (>= 2022.03.0~) , Standards-Version: 4.6.2 Vcs-Browser: https://salsa.debian.org/science-team/pandas Vcs-Git: https://salsa.debian.org/science-team/pandas.git Homepage: https://pandas.pydata.org/ Rules-Requires-Root: no Package: python3-pandas Architecture: all Depends: ${misc:Depends}, ${python3:Depends}, python3-numpy, python3-dateutil, python3-pandas-lib (>= ${source:Upstream-Version}), # should maybe have a python3-pandas-lib (<< ${source:Upstream-Version}.0), as well, but that leaves arch:all BD-Uninstallable if arch:amd64 builds first python3-pkg-resources, tzdata Recommends: python3-scipy, python3-matplotlib, python3-tz, # for faster processing # see -lib for python3-numba python3-bottleneck, python3-numexpr, # for spreadsheet I/O python3-odf, python3-openpyxl, # for HTML table I/O python3-bs4, python3-html5lib, python3-lxml, # for HDF5 I/O python3-tables, # for styled output python3-jinja2 Suggests: python-pandas-doc, python3-statsmodels Breaks: # 1.1 -> 1.3 API breaks, see #999415 python3-cfgrib (<= 0.9.9-1), python3-joypy (<= 0.2.2-2), # 1.4 -> 1.5 API breaks, see #1022571 python3-statsmodels (<< 0.13.5~), # 1.5 -> 2.1 API breaks, #1043240 augur (<= 24.0.0-1), cnvkit (<< 0.9.10~), python3-altair (<< 5.0.1~), python3-anndata (<= 0.8.0-4), python3-biom-format (<< 2.1.15.2-3~), python3-cooler (<< 0.9.3~), python3-dask (<< 2023.12.1~), python3-dials (<< 3.17.0~), python3-dyda (<= 1.41.1-1.1), python3-emperor (<< 1.0.3+ds-9~), python3-esda (<= 2.5.1-1), python3-feather-format (<< 0.3.1+dfsg1-8~), python3-hypothesis (<< 6.83.1~), # broken tests but probably not broken actual package python3-influxdb (<= 5.3.1-5), python3-jsonpickle (<< 3.0.2+dfsg-1~), python3-mirtop (<< 0.4.25-5~), python3-nanoget (<< 1.19.3~), python3-pauvre (<< 0.2.3-3~), python3-pyani (<< 0.2.12-3~), python3-pymatgen (<< 2024.1.27~), python3-pyranges (<= 0.0.111+ds-6), python3-seaborn (<< 0.13.0~), python3-skbio (<< 0.5.9~), python3-sklearn-pandas (<= 2.2.0-1.1), python3-sunpy (<< 5.1.0-1~), # broken tests but probably not broken actual package python3-tqdm (<= 4.64.1-1), # python3-ulmo affected test no longer run but not actually fixed python3-ulmo (<= 0.8.8+dfsg1-2), python3-upsetplot (<< 0.8.0-3~), python3-xarray-sentinel (<< 0.9.5+ds-2~), q2-cutadapt (<< 2023.7.0-1~), q2-demux (<= 2023.9.1+dfsg-1), q2-quality-control (<= 2022.11.1-2), q2-taxa (<= 2023.9.0+dfsg-1), q2-types (<= 2023.9.0-1), q2templates (<= 2023.9.0+ds-1) Description: data structures for "relational" or "labeled" data pandas is a Python package providing 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. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 3 version. Package: python-pandas-doc Architecture: all Section: doc Depends: ${misc:Depends}, ${sphinxdoc:Depends}, libjs-mathjax Suggests: python3-pandas Multi-Arch: foreign Description: data structures for "relational" or "labeled" data - documentation pandas is a Python package providing 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. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the documentation. Package: python3-pandas-lib Architecture: any Multi-Arch: same Depends: ${misc:Depends}, ${shlibs:Depends}, ${python3:Depends}, python3-numpy # this is here to allow it to be arch-specific, to avoid numba bugs on other architectures Recommends: python3-numba [amd64] Description: low-level implementations and bindings for pandas This is a low-level package for python3-pandas providing architecture-dependent extensions. . Users should not need to install it directly.