pandas 1.5.3+dfsg-6 source package in Ubuntu
Changelog
pandas (1.5.3+dfsg-6) unstable; urgency=medium
* Disable numba tests on non-x86 (workaround for #1033907).
Using numba on such systems already warns the user.
-- Rebecca N. Palmer <email address hidden> Sat, 19 Aug 2023 20:51:27 +0100
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- 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 | |
|---|---|---|---|---|
| Mantic | release | universe | python |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| pandas_1.5.3+dfsg-6.dsc | 4.8 KiB | 140fa927462298cdac766d8de2c0cc039bf1357ba81531c473474bc21c708c9d |
| pandas_1.5.3+dfsg.orig.tar.xz | 8.6 MiB | 5c50f7c36d93ed1e6e41fdd6c1116def08dadbe64245365e3410009bcbb557f3 |
| pandas_1.5.3+dfsg-6.debian.tar.xz | 70.5 KiB | 35f0ddf10bd60ab7f3098eb15709411837f707261ba191daa5646b82353686e4 |
Available diffs
- diff from 1.5.3+dfsg-4 to 1.5.3+dfsg-6 (2.8 KiB)
- diff from 1.5.3+dfsg-5 to 1.5.3+dfsg-6 (719 bytes)
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
