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Source: pandas
Maintainer: Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Yaroslav Halchenko <debian@onerussian.com>,
Michael Hanke <michael.hanke@gmail.com>,
Rebecca N. Palmer <rebecca_palmer@zoho.com>
Section: python
Priority: optional
Build-Depends: debhelper-compat (= 13),
dh-python,
faketime,
locales-all,
python3-all-dev,
cython3 (>= 3.0.5~),
# python3-blosc is not actually used (blosc is used through python3-tables instead)
python3-bottleneck (>= 1.3.6~) <!nocheck> <!nodoc>,
python3-bs4 (>= 4.11.2~) <!nocheck> <!nodoc>,
python3-dask (>= 2023.2.0~) <!nocheck> <!nodoc>,
python3-dateutil,
python3-fsspec (>= 2022.11.0~) <!nocheck> <!nodoc>,
python3-html5lib (>= 1.1~) <!nocheck> <!nodoc>,
python3-hypothesis (>= 6.46.1~) <!nocheck> <!nodoc>,
python3-jinja2 (>= 3.1.2~) <!nocheck> <!nodoc>,
python3-lxml (>= 4.9.2~) <!nocheck> <!nodoc>,
python3-matplotlib (>= 3.6.3~) [!alpha !hurd-any !loong64 !m68k !powerpc !sh4 !sparc64 !x32] <!nocheck> <!nodoc>,
# 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 (>= 0.56.4~) [amd64 i386 ppc64el] <!nocheck> <!nodoc>,
python3-numexpr (>= 2.8.4~) [!hurd-any] <!nocheck> <!nodoc>,
python3-numpy (>= 1:1.23.2~),
python3-odf (>= 1.4.1~) <!nocheck> <!nodoc>,
python3-openpyxl (>= 3.1.0~) <!nocheck> <!nodoc>,
# doesn't seem to work in this test environment python3-psycopg2 (>= 2.9.6~) <!nocheck> <!nodoc>,
python3-py <!nocheck> <!nodoc>,
# doesn't seem to work in this test environment python3-pymysql (>= 1.0.2~) <!nocheck> <!nodoc>,
python3-pyqt5 (>= 5.15.9~) [!alpha !powerpc !sparc64 !x32] <!nocheck> <!nodoc>,
# in -indep to reduce circular dependencies python3-pyreadstat,
python3-pytest (>= 7.3.2~) <!nocheck> <!nodoc>,
python3-pytest-asyncio (>= 0.17~) <!nocheck> <!nodoc>,
python3-pytest-forked <!nocheck> <!nodoc>,
python3-pytest-localserver <!nocheck> <!nodoc>,
python3-pytest-xdist (>= 2.2.0~) <!nocheck> <!nodoc>,
python3-pytestqt (>= 4.2.0~) <!nocheck> <!nodoc>,
# we don't have python3-pyxlsb
python3-scipy (>= 1.10.0~),
python3-setuptools (>= 51~),
python3-sqlalchemy (>= 2.0.0~) [!hurd-any !hppa !powerpc !sparc64] <!nocheck> <!nodoc>,
# python3-tables is now little-endian only, and also unavailable on some ports
python3-tables (>= 3.8.0~) [!s390x !hppa !powerpc !ppc64 !sparc64 !hurd-any !alpha] <!nocheck> <!nodoc>,
python3-tabulate (>= 0.9.0~) <!nocheck> <!nodoc>,
python3-tk <!nocheck> <!nodoc>,
python3-tz (>= 2022.7~) <!nocheck> <!nodoc>,
python3-xlrd (>= 2.0.1~) <!nocheck> <!nodoc>,
python3-xlsxwriter (>= 3.0.5~) <!nocheck> <!nodoc>,
python3-versioneer,
python3-zstandard (>= 0.19.0~) <!nocheck> <!nodoc>,
sphinx-common,
# for tests/examples that use old-style timezone names
tzdata-legacy <!nocheck> <!nodoc>,
xvfb <!nocheck>,
xauth <!nocheck>,
xsel <!nocheck>
Build-Depends-Indep: python3-sphinx <!nodoc>,
python3-sphinx-copybutton <!nodoc>,
python3-sphinx-design <!nodoc>,
python3-pydata-sphinx-theme (>= 0.14~) <!nodoc>,
python3-ipykernel <!nodoc>,
# we don't have this version python3-notebook (>= 7.0.6~) <!nodoc>,
python3-notebook <!nodoc>,
python3-nbconvert (>= 7.11.0~) <!nodoc>,
python3-nbsphinx <!nodoc>,
python3-numpydoc <!nodoc>,
python3-pygments <!nodoc>,
ipython3 (>= 7.11.1~) <!nodoc>,
jdupes <!nodoc>,
# for style.ipynb
pandoc <!nodoc>,
# for intersphinx inventories
python3-doc <!nodoc>,
python-numpy-doc <!nodoc>,
python-scipy-doc <!nodoc>,
python-matplotlib-doc <!nodoc>,
python-statsmodels-doc <!nodoc>,
# 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 <!nodoc>,
#fails with KeyError 'state', possibly nbconvert bug 1731 python3-ipywidgets <!nodoc>,
python3-rpy2 <!nodoc>,
python3-seaborn <!nodoc>,
# these are also used in some tests, but depend on pandas, so are in -indep to avoid
# circular-dependency BD-Uninstallable when arch:all finishes before some of the arch:any start
python3-pyreadstat (>= 1.2.0~) <!nocheck> <!nodoc>,
python3-statsmodels <!nocheck> <!nodoc>,
python3-xarray (>= 2022.12.0~) <!nocheck> <!nodoc>,
Standards-Version: 4.7.0
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
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),
# 1.5 -> 2.1 API breaks, #1043240
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~),
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),
# 2.1 -> 2.2 API breaks, #1069792
augur (<< 24.4.0-1~),
python3-influxdb (<< 5.3.2-1~),
python3-statsmodels (<< 0.14.2~),
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.
|
