Ubuntu
pandas package

pandas 1.1.5+dfsg-2 source package in Ubuntu

Changelog

pandas (1.1.5+dfsg-2) unstable; urgency=medium

  * Remove dead URL from tests/examples.  (Closes: #979621)
  * Mark autopkgtest needs-internet.
  * Revert "Print uname etc during build".
  * Mark matplotlib nocheck/nodoc and allow building on ports without
    matplotlib or numexpr.  (Closes: #977470)
  * Add python3-tabulate build/test-depends.
  * Add bottleneck and numexpr test-depends.
  * Tests: don't require warnings that jedi no longer produces.

 -- Rebecca N. Palmer <email address hidden>  Tue, 12 Jan 2021 21:06:04 +0000

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

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Downloads

File Size SHA-256 Checksum
pandas_1.1.5+dfsg-2.dsc 4.3 KiB ed848fe62c68034f908fc6856262a1d41c38e4fef2656a8ec55339fc4e8f90b1
pandas_1.1.5+dfsg.orig.tar.xz 5.9 MiB 24ec7bbf24aaf7504c829bec2bfa2cc9df3d307c7dce9f84f7f41693bccf6e55
pandas_1.1.5+dfsg-2.debian.tar.xz 62.9 KiB d434fe80151306a15282699255f40af6faf3568e595a0d50934f637e9c9b4a1e

Available diffs

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Binary packages built by this source

python-pandas-doc: No summary available for python-pandas-doc in ubuntu impish.

No description available for python-pandas-doc in ubuntu impish.

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