Source: pandas Section: python Priority: optional Maintainer: Debian Science Team Uploaders: Yaroslav Halchenko , Michael Hanke , Rebecca N. Palmer Build-Depends: debhelper-compat (= 13), dh-python, locales-all, python3-all-dev, cython3 (>= 0.29.21~), python3-bottleneck (>= 1.2.1~) , python3-bs4 , python3-dask (>= 2.10.1~) , python3-dateutil (>= 2.7.3~), python3-html5lib , python3-hypothesis , python3-jinja2 , python3-lxml , python3-matplotlib [!ia64 !sh4 !x32] , # armel, s390x numba crash, mipsel gives wrong answer, most ports don't have numba # re-add when #972246 is fixed python3-numba (>= 0.46.0~) [amd64 arm64 armhf i386 mips64el mipsel ppc64el s390x] , python3-numexpr (>= 2.6.2~) [!kfreebsd-any !sparc64] , python3-numpy, python3-odf , python3-openpyxl , # upstream actually want pytest >= 5.0.1 but we don't have that in testing python3-pytest (>= 4.0.2~) , python3-pytest-asyncio , python3-pytest-forked , python3-pytest-xdist (>= 1.21~) , python3-scipy, python3-setuptools, python3-six, python3-tables (>= 3.4.3~) , python3-tabulate (>= 0.8.3~) , python3-tk , python3-tz , # broken - #976620 python3-xlrd , python3-xlsxwriter , python3-xlwt , sphinx-common, xvfb , xauth , xclip , Build-Depends-Indep: python3-sphinx , python3-ipykernel , python3-nbconvert (>= 5.4.1~) , python3-nbsphinx , python3-numpydoc , ipython3 (>= 7.11.1~) , jdupes , # for style.ipynb pandoc , # for intersphinx inventories python3-doc , python-numpy-doc , python-scipy-doc , 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 , python3-ipywidgets , python3-rpy2 , python3-seaborn , python3-sqlalchemy , python3-statsmodels , python3-xarray , Standards-Version: 4.5.1 Rules-Requires-Root: no Homepage: https://pandas.pydata.org/ Vcs-Browser: https://salsa.debian.org/science-team/pandas Vcs-Git: https://salsa.debian.org/science-team/pandas.git Package: python3-pandas Architecture: all Depends: ${misc:Depends}, ${python3:Depends}, python3-numpy (>= 1:1.15~), python3-dateutil (>= 2.7.3~), 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, python3-six, 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, # broken - #976620 python3-xlrd, python3-xlwt, # 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: # 0.23 -> 0.25 API breaks, #931557 cnvkit (<< 0.9.6-2~), # 0.25 -> 1.0 API breaks, #950430 python3-biom-format (<< 2.1.8+dfsg-3.1~), python3-feather-format (<< 0.3.1+dfsg1-4~), python3-statsmodels (<< 0.11.0~), python3-seaborn (<< 0.9.1~), q2-demux (<< 2019.10.0-1.1~), q2templates (<< 2019.10.0+dfsg-1.1~), q2-types (<< 2019.10.0-1.1~), # 1.0 -> 1.1 API breaks, #969650 python3-dask (<< 2.11.0+dfsg-1.1~), python3-skbio (<< 0.5.6-3~) 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} Suggests: python3-pandas 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 (>=1:1.15~) # 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.