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
See full publishing history Publishing
Series | Published | Component | Section |
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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
- diff from 1.1.5+dfsg-1 to 1.1.5+dfsg-2 (3.0 KiB)
No changes file available.
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