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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>
Build-Depends: debhelper (>= 9),
quilt,
python-all-dev (>= 2.5),
python-setuptools,
cython,
python-bs4,
python-dateutil,
python-html5lib,
python-lxml,
python-matplotlib [!hurd-i386],
python3-nbsphinx | python3-sphinx (<= 1.4),
python-nose,
python-numpy (>= 1:1.7~),
python-openpyxl,
python-pytest,
python-scipy,
python-six,
python-sphinx (>= 1.0~),
python-tables [!m68k !sh4 !x32],
python-tk,
python-tz,
python-xlsxwriter,
python-xlrd,
python-xlwt,
python3-all-dev,
python3-setuptools,
cython3 (>= 0.17.1~) | cython (<< 0.17.1~),
python3-bs4,
python3-dateutil,
python3-html5lib,
python3-lxml,
python3-matplotlib [!hurd-i386]| python-matplotlib (<< 1.2.0~) [!hurd-i386],
python3-nose,
python3-numpy (>= 1:1.7~),
python3-openpyxl,
python3-pytest,
python3-scipy,
python3-six,
python3-sphinx (>= 1.0~),
python3-tables [!m68k !sh4 !x32],
python3-tk,
python3-tz,
python3-xlsxwriter,
python3-xlrd,
python3-xlwt,
xvfb,
xauth,
xclip,
Build-Depends-Indep:
ipython3,
# for style.ipynb
pandoc <!nodoc>,
# these are for not having (as many) exception messages in documentation examples
# RC-buggy python3-feather-format <!nodoc>,
# not in Debian python3-pyarrow <!nodoc> | python3-fastparquet <!nodoc>,
# would rather not add a big dependency (R) right now python3-rpy2 <!nodoc>,
python3-sqlalchemy <!nodoc>,
python3-statsmodels <!nodoc>,
python3-xarray <!nodoc>,
Build-Conflicts: python-tables (= 3.3.0-4), python3-tables (= 3.3.0-4)
X-Python-Version: >= 2.7
X-Python3-Version: >= 3.2
Standards-Version: 4.1.1
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: python-pandas
Architecture: all
Depends: ${misc:Depends}, ${python:Depends},
python-numpy (>= 1:1.7~),
python-dateutil,
python-pandas-lib(>= ${source:Version}),
python-pkg-resources,
python-six,
Recommends: python-scipy,
python-matplotlib,
python-tables,
python-numexpr,
python-tz,
python-xlrd,
python-statsmodels,
python-openpyxl, python-xlwt, python-xlrd,
python-bs4,
python-html5lib,
python-lxml,
python-html5lib,
Provides: ${python:Provides}
Suggests: python-pandas-doc
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 2 version.
Package: python3-pandas
Architecture: all
Depends: ${misc:Depends}, ${python3:Depends},
python3-numpy (>= 1:1.7~),
python3-dateutil,
python3-pandas-lib(>= ${source:Version}),
python3-pkg-resources,
python3-six,
Recommends: python3-scipy,
python3-matplotlib,
python3-numexpr,
python3-tables,
python3-tz,
python3-bs4,
python3-html5lib,
python3-lxml,
python3-html5lib,
Suggests: python-pandas-doc
Description: data structures for "relational" or "labeled" data - Python 3
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},
libjs-jquery,
libjs-mathjax
Suggests: python-pandas
Description: documentation and examples for pandas
This package contains documentation and example scripts for
python-pandas.
Package: python-pandas-lib
Architecture: any
Depends: ${misc:Depends}, ${shlibs:Depends}, ${python:Depends}, python-numpy (>= 1:1.7~)
Provides: ${python:Provides}
XB-Python-Version: ${python:Versions}
Description: low-level implementations and bindings for pandas
This is an add-on package for python-pandas providing
architecture-dependent extensions.
.
This package contains the Python 2 version.
Package: python3-pandas-lib
Architecture: any
Depends: ${misc:Depends}, ${shlibs:Depends}, ${python3:Depends}, python3-numpy (>=1:1.7~)
Description: low-level implementations and bindings for pandas - Python 3
This is an add-on package for python-pandas providing
architecture-dependent extensions.
.
This package contains the Python 3 version.
|
