pandas 0.22.0-2ubuntu1 source package in Ubuntu
Changelog
pandas (0.22.0-2ubuntu1) bionic; urgency=medium * Refresh and re-enable mark_tests_working_on_intel.patch * Skip test__get_dtype tests expecting little-endian results -- Graham Inggs <email address hidden> Wed, 11 Apr 2018 16:56:56 +0000
Upload details
- Uploaded by:
- Graham Inggs
- Uploaded to:
- Bionic
- 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_0.22.0.orig.tar.gz | 6.5 MiB | 4b112cf1a35de3d46f9d5ee00309804e9a0dcdfb249d512fe8d38678de15b0bb |
| pandas_0.22.0-2ubuntu1.debian.tar.xz | 3.0 MiB | 37d3ac4933a864e92488a6f5f4765b7e1cb3d1eee9f88744a0f3cee5d6f1367c |
| pandas_0.22.0-2ubuntu1.dsc | 3.7 KiB | b222f712731f0295d734962398af425974b85a93006aed042734434d56efaccf |
Available diffs
Binary packages built by this source
- python-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 2 version.
- python-pandas-doc: documentation and examples for pandas
This package contains documentation and example scripts for
python-pandas.
- python-pandas-lib: low-level implementations and bindings for pandas
This is an add-on package for python-pandas providing
architecture-dependent extensions.
.
This package contains the Python 2 version.
- python-pandas-lib-dbgsym: debug symbols for python-pandas-lib
- python3-pandas: data structures for "relational" or "labeled" data - Python 3
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 - Python 3
This is an add-on package for python-pandas providing
architecture-dependent extensions.
.
This package contains the Python 3 version.
- python3-pandas-lib-dbgsym: debug symbols for python3-pandas-lib
