pandas 0.7.0-1 source package in Ubuntu
Changelog
pandas (0.7.0-1) unstable; urgency=low * New upstream release * Updated pre-cythoned .c files for older Debian/Ubuntu releases. Added a stamp file with upstream version to assure up-to-dateness of the generated files * Dropped all exclusions of unittests and patches -- shouldn't be necessary any longer * Build only for requested versions (not all supported) of Python * Do nothing for build operation, rely on overloaded install (to avoid undesired re-cythonization on elderly Ubuntus) * Adjusted url in watch due to migration of repository under pydata organization -- Yaroslav Halchenko <email address hidden> Mon, 16 Jan 2012 19:31:50 -0500
Upload details
- Uploaded by:
- NeuroDebian Team
- Uploaded to:
- Sid
- Original maintainer:
- NeuroDebian Team
- Architectures:
- any all
- Section:
- python
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Precise | release | universe | python |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
pandas_0.7.0-1.dsc | 1.6 KiB | 4203df9535b978bfdd5fda4b7f448026f2a6f5b766bace72f4351991db277a05 |
pandas_0.7.0.orig.tar.gz | 584.2 KiB | cfae4672256083311d3f843f9703c5cf3318b9a91d5912e81b8e84dc3571f6f6 |
pandas_0.7.0-1.debian.tar.gz | 503.9 KiB | e40ca99ccbf13ba97f585a13830adeba14f58265d6d9b42a2bbba576a8c1a64f |
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
- python-pandas-lib: low-level implementations and bindings for pandas
This is an add-on package for python-pandas providing
architecture-dependent extensions.