Package: python3-pandas
Source: pandas
Version: 1.3.5+dfsg-3
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
Installed-Size: 18694
Depends: python3-dateutil, python3-numpy, python3-tz, python3:any, python3-pandas-lib (>= 1.3.5+dfsg), python3-pkg-resources, python3-six
Recommends: python3-scipy, python3-matplotlib, python3-bottleneck, python3-numexpr, python3-odf, python3-openpyxl, python3-xlwt, python3-bs4, python3-html5lib, python3-lxml, python3-tables, python3-jinja2
Suggests: python-pandas-doc, python3-statsmodels
Breaks: cnvkit (<< 0.9.6-2~), python3-biom-format (<< 2.1.8+dfsg-3.1~), python3-cfgrib (<= 0.9.9-1), python3-cooler (<= 0.8.8-1), python3-dask (<< 2.11.0+dfsg-1.1~), python3-joypy (<= 0.2.2-2), python3-seaborn (<< 0.9.1~), python3-skbio (<= 0.5.6-5), python3-statsmodels (<< 0.11.0~)
Section: python
Priority: optional
Homepage: https://pandas.pydata.org/
Description: 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.
