pandas 1.5.3+dfsg-7ubuntu1 source package in Ubuntu
Changelog
pandas (1.5.3+dfsg-7ubuntu1) noble; urgency=medium
* Merge from Debian unstable, remaining changes:
- Ignore remaining test failures for first build with Python 3.12
* Dropped changes, included in Debian:
- Cherry-pick partial upstream commit for Python 3.12 compatibility
pandas (1.5.3+dfsg-7) unstable; urgency=medium
* Be compatible with Python 3.12. (Closes: #1055801, LP: #2043895)
* Use cython3-legacy (workaround for #1056828).
-- Graham Inggs <email address hidden> Wed, 29 Nov 2023 13:38:51 +0000
Upload details
- Uploaded by:
- Graham Inggs
- Uploaded to:
- Noble
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| pandas_1.5.3+dfsg.orig.tar.xz | 8.6 MiB | 5c50f7c36d93ed1e6e41fdd6c1116def08dadbe64245365e3410009bcbb557f3 |
| pandas_1.5.3+dfsg-7ubuntu1.debian.tar.xz | 74.6 KiB | e335c19dae30e99ef81cd6a42bd67d4b8ad19e123966a1f493412522b0009cc4 |
| pandas_1.5.3+dfsg-7ubuntu1.dsc | 4.8 KiB | ddad91d6955b76effe341213158c534eee12019291b4b39e3c497d6f375da454 |
Available diffs
Binary packages built by this source
- python-pandas-doc: data structures for "relational" or "labeled" data - documentation
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 documentation.
- python3-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 3 version.
- python3-pandas-lib: low-level implementations and bindings for pandas
This is a low-level package for python3-pandas providing
architecture-dependent extensions.
.
Users should not need to install it directly.
- python3-pandas-lib-dbgsym: debug symbols for python3-pandas-lib
