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Source: pandas
Section: python
Priority: optional
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>
Build-Depends: debhelper-compat (= 13),
dh-python,
locales-all,
python3-all-dev,
cython3 (>= 0.29.21~),
python3-bottleneck (>= 1.2.1~) <!nocheck> <!nodoc>,
python3-bs4 <!nocheck> <!nodoc>,
python3-dask (>= 2.10.1~) <!nocheck> <!nodoc>,
python3-dateutil (>= 2.7.3~),
python3-html5lib <!nocheck> <!nodoc>,
python3-hypothesis <!nocheck> <!nodoc>,
python3-jinja2 <!nocheck> <!nodoc>,
python3-lxml <!nocheck> <!nodoc>,
python3-matplotlib [!ia64 !sh4 !x32] <!nocheck> <!nodoc>,
# 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] <!nocheck> <!nodoc>,
python3-numexpr (>= 2.6.2~) [!kfreebsd-any !sparc64] <!nocheck> <!nodoc>,
python3-numpy,
python3-odf <!nocheck> <!nodoc>,
python3-openpyxl <!nocheck> <!nodoc>,
# upstream actually want pytest >= 5.0.1 but we don't have that in testing
python3-pytest (>= 4.0.2~) <!nocheck> <!nodoc>,
python3-pytest-asyncio <!nocheck> <!nodoc>,
python3-pytest-forked <!nocheck> <!nodoc>,
python3-pytest-xdist (>= 1.21~) <!nocheck> <!nodoc>,
python3-scipy,
python3-setuptools,
python3-six,
python3-tables (>= 3.4.3~) <!nocheck> <!nodoc>,
python3-tabulate (>= 0.8.3~) <!nocheck> <!nodoc>,
python3-tk <!nocheck> <!nodoc>,
python3-tz <!nocheck> <!nodoc>,
# broken - #976620 python3-xlrd <!nocheck> <!nodoc>,
python3-xlsxwriter <!nocheck> <!nodoc>,
python3-xlwt <!nocheck> <!nodoc>,
sphinx-common,
xvfb <!nocheck>,
xauth <!nocheck>,
xclip <!nocheck>,
Build-Depends-Indep:
python3-sphinx <!nodoc>,
python3-ipykernel <!nodoc>,
python3-nbconvert (>= 5.4.1~) <!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>,
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>,
python3-ipywidgets <!nodoc>,
python3-rpy2 <!nodoc>,
python3-seaborn <!nodoc>,
python3-sqlalchemy <!nodoc>,
python3-statsmodels <!nodoc>,
python3-xarray <!nodoc>,
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.
|
