Ubuntu
pandas package

pandas 2.2.2+dfsg-4 source package in Ubuntu

Changelog

pandas (2.2.2+dfsg-4) unstable; urgency=medium

  * Tests: re-enable bottleneck and tabulate (see #1070359, #1070360),
    make blosc xfail nonstrict, use pyproject.toml in autopkgtest,
    run autopkgtest in CI, be less verbose to fit in the CI log.
  * Add transition Breaks.
  * Upload to unstable. (Closes: #1069792)

 -- Rebecca N. Palmer <email address hidden>  Sun, 07 Jul 2024 19:36:37 +0100

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 Pocket Published Component Section
Oracular proposed universe python

Downloads

File Size SHA-256 Checksum
pandas_2.2.2+dfsg-4.dsc 5.2 KiB 1d1464a9c6e11ed37bb8a8034b29d9d4ba2daccd17743629d0c24705f0d27f37
pandas_2.2.2+dfsg.orig.tar.xz 10.7 MiB 2ecc062b7e39cd40f517a6f2c1fabfa9d61401e947e3cfc13915d8acdc45092e
pandas_2.2.2+dfsg-4.debian.tar.xz 107.2 KiB 26708427685e72163d6284b76c4660377bdb87e790be47298dccc05b840b8df7

Available diffs

No changes file available.

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