pandas 0.13.1-2ubuntu2 source package in Ubuntu
Changelog
pandas (0.13.1-2ubuntu2) trusty; urgency=medium * No change rebuild to drop python3.3 compiled extension. -- Dimitri John Ledkov <email address hidden> Mon, 31 Mar 2014 19:36:21 +0100
Upload details
- Uploaded by:
- Dimitri John Ledkov
- Uploaded to:
- Trusty
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Trusty | release | universe | python |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
pandas_0.13.1.orig.tar.gz | 2.1 MiB | e0ad0b2ba3b8de61726dc4fbd6bec5cadf15718dfc7653f7b1908648156a9561 |
pandas_0.13.1-2ubuntu2.debian.tar.gz | 3.2 MiB | 9886c675f994b441d74c2e3115733169c10105bbacdfb3cb660b418a34c23e54 |
pandas_0.13.1-2ubuntu2.dsc | 2.8 KiB | 1923825a320bbb5b0ca1330a31e9a061c9abdc49a3f9cd1ab049caf2afdd8bf4 |
Available diffs
- diff from 0.13.1-2ubuntu1 to 0.13.1-2ubuntu2 (345 bytes)
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-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.