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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,
locales-all,
python3-all-dev,
cython3 (>= 0.29.32~),
# we don't have this version python3-blosc (>= 1.21.0~) <!nocheck> <!nodoc>,
python3-bottleneck (>= 1.3.2~) <!nocheck> <!nodoc>,
python3-bs4 (>= 4.9.3~) <!nocheck> <!nodoc>,
python3-dask (>= 2.10.1~) <!nocheck> <!nodoc>,
python3-dateutil,
python3-fsspec (>= 2021.07.0~) <!nocheck> <!nodoc>,
python3-html5lib (>= 1.1~) <!nocheck> <!nodoc>,
python3-hypothesis (>= 6.13.0~) <!nocheck> <!nodoc>,
python3-jinja2 (>= 3.0~) <!nocheck> <!nodoc>,
python3-lxml (>= 4.6.3~) <!nocheck> <!nodoc>,
python3-matplotlib (>= 3.3.2~) [!ia64 !sh4 !x32] <!nocheck> <!nodoc>,
# armel, s390x numba crash, mipsel gives wrong answer, most ports don't have numba
# uninstallable due to #1024795 python3-numba (>= 0.53.1~) [amd64 arm64 armhf i386 mips64el mipsel ppc64el s390x] <!nocheck> <!nodoc>,
python3-numexpr (>= 2.8.0~) <!nocheck> <!nodoc>,
python3-numpy (>= 1:1.18.5~),
python3-odf (>= 1.4.1~) <!nocheck> <!nodoc>,
python3-openpyxl (>= 3.0.7~) <!nocheck> <!nodoc>,
# doesn't seem to work in this test environment python3-psycopg2 (>= 2.8.6~) <!nocheck> <!nodoc>,
# doesn't seem to work in this test environment python3-pymysql (>= 1.0.2~) <!nocheck> <!nodoc>,
python3-pytest (>= 6.0~) <!nocheck> <!nodoc>,
python3-pytest-asyncio (>= 0.17~) <!nocheck> <!nodoc>,
python3-pytest-forked <!nocheck> <!nodoc>,
python3-pytest-xdist (>= 1.31~) <!nocheck> <!nodoc>,
python3-scipy,
python3-setuptools (>= 51~),
python3-six,
# we don't have this version python3-snappy (>= 0.6.0~) <!nocheck> <!nodoc>,
python3-sqlalchemy (>= 1.4.16~) <!nocheck> <!nodoc>,
python3-tables (>= 3.6.1~) <!nocheck> <!nodoc>,
python3-tabulate (>= 0.8.9~) <!nocheck> <!nodoc>,
python3-tk <!nocheck> <!nodoc>,
python3-tz (>= 2022.1~) <!nocheck> <!nodoc>,
# we don't have this version python3-xlrd (>= 2.0.1~) <!nocheck> <!nodoc>,
python3-xlsxwriter (>= 1.4.3~) <!nocheck> <!nodoc>,
# having xlwt and not xlrd breaks tests/io/test_fsspec.py python3-xlwt (>= 1.3.0~) <!nocheck> <!nodoc>,
python3-zstandard <!nocheck> <!nodoc>,
sphinx-common,
xvfb <!nocheck>,
xauth <!nocheck>,
xclip <!nocheck>
Build-Depends-Indep: python3-sphinx <!nodoc>,
python3-sphinx-copybutton <!nodoc>,
python3-sphinx-panels <!nodoc>,
python3-pydata-sphinx-theme <!nodoc>,
python3-ipykernel <!nodoc>,
python3-notebook (>= 6.0.3~) <!nodoc>,
python3-nbconvert (>= 6.4.5~) <!nodoc>,
python3-nbsphinx <!nodoc>,
python3-numpydoc <!nodoc>,
ipython3 (>= 7.11.1~) <!nodoc>,
jdupes <!nodoc>,
# for style.ipynb
pandoc <!nodoc>,
# for intersphinx inventories
python3-doc <!nodoc>,
# no longer exists python-numpy-doc <!nodoc>,
python-scipy-doc <!nodoc>,
# no longer exists 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>,
python3-sqlalchemy <!nodoc>,
python3-statsmodels <!nodoc>,
python3-xarray (>= 0.19.0~) <!nodoc>,
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,
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,
# 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-seaborn (<< 0.9.1~),
# 1.0 -> 1.1 API breaks, #969650
# 1.1 -> 1.3 API breaks, see #999415
python3-cfgrib (<= 0.9.9-1),
python3-joypy (<= 0.2.2-2),
python3-cooler (<= 0.8.8-1),
# 1.3 -> 1.4 API breaks, see #1017809
python3-skbio (<= 0.5.6-6),
python3-ulmo (<= 0.8.8+dfsg1-1),
# 1.4 -> 1.5 API breaks, see #1022571
python3-emperor (<= 1.0.3+ds-4),
python3-statsmodels (<< 0.13.5~),
q2templates (<= 2022.8.0+ds-1),
python3-dask (<= 2022.02.0+dfsg-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.
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