pandas 0.17.1-3 source package in Ubuntu
Changelog
pandas (0.17.1-3) unstable; urgency=medium
* debian/tests/unittest*
- set LC_ALL=C.UTF-8 for the tests run to prevent failure of test_set_locale
-- Yaroslav Halchenko <email address hidden> Tue, 08 Dec 2015 08:31:30 -0500
Upload details
- Uploaded by:
- NeuroDebian Team
- Uploaded to:
- Sid
- Original maintainer:
- NeuroDebian 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_0.17.1-3.dsc | 3.0 KiB | ac41d6c10b261ab507880bf93faa2a78c697df6aa08d9b8be2cb2222a4b1a811 |
| pandas_0.17.1.orig.tar.gz | 4.8 MiB | 04f9ceb7e4103c649916b5fd4f9c3daaa9602e239732c4432324de31fd18ccc6 |
| pandas_0.17.1-3.debian.tar.xz | 2.0 MiB | 43cde9d96a6e7c39d7775ebc4430f43b46bc210258df58fb1d349f0eae8cf92e |
Available diffs
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.
- 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.
