pandas 0.22.0-2 source package in Ubuntu
Changelog
pandas (0.22.0-2) unstable; urgency=medium
* debian/patches
- as upstream moved over to pytest from nose, no more nose imports were
in the code. Just adjusted patches to import nose where needed
* debian/rules
- specify LC_ALL=C locale to avoid crash while building docs
- add the 0001-TST-pytest-deprecation-warnings-GH17197-17253-reversed.patch
to the series if building on a system with an old pytest
-- Yaroslav Halchenko <email address hidden> Wed, 21 Feb 2018 23:44:58 -0500
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| pandas_0.22.0-2.dsc | 3.6 KiB | 4894fa59425b216f2e0cb8bb820d6e442e59eaad8b64ac5ddb1cd91ff0474224 |
| pandas_0.22.0.orig.tar.gz | 6.5 MiB | 4b112cf1a35de3d46f9d5ee00309804e9a0dcdfb249d512fe8d38678de15b0bb |
| pandas_0.22.0-2.debian.tar.xz | 3.0 MiB | 9c3ec774e26c48cf78b6b5e68ceb066c49fe154b3373261163d90fd9da63945c |
Available diffs
- diff from 0.22.0-1 to 0.22.0-2 (3.1 KiB)
No changes file available.
Binary packages built by this source
- python-pandas: 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.
- python-pandas-doc: documentation and examples for pandas
This package contains documentation and example scripts for
python-pandas.
- python-pandas-lib: 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.
- python-pandas-lib-dbgsym: debug symbols for python-pandas-lib
- python3-pandas: 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.
- python3-pandas-lib: 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.
- python3-pandas-lib-dbgsym: debug symbols for python3-pandas-lib
