pandas 0.15.0-2ubuntu1 source package in Ubuntu
Changelog
pandas (0.15.0-2ubuntu1) xenial; urgency=medium * Rebuild for Python 3.5. -- Matthias Klose <email address hidden> Sun, 25 Oct 2015 22:04:23 +0200
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Xenial
- Original maintainer:
- NeuroDebian Team
- Architectures:
- any all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
---|
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
pandas_0.15.0.orig.tar.gz | 2.7 MiB | 4960ca272f8d5d41d97ccf4484feb133f9b1b85ff6b796532fc74d746575c9d4 |
pandas_0.15.0-2ubuntu1.debian.tar.xz | 1.7 MiB | ebe93715963debf5fb29583808e75c5e7df3851fcc8059bf83a594672c33d456 |
pandas_0.15.0-2ubuntu1.dsc | 2.8 KiB | 502d954b9e7db003ffc1ecc9218e826f68655a301dce4c49320f8f20981652c4 |
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-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.
- 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.