Package: python3-pandas
Source: pandas
Version: 2.2.3+dfsg-9
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: 22371
Depends: python3-dateutil, python3-numpy (>= 1:1.23.2~) | python3-supported-max (<< 3.11) | python3-supported-min (>= 3.12), python3-numpy (>= 1:1.23.2~) | python3-supported-max (<< 3.12), python3-numpy (>= 1:1.23.2~) | python3-supported-min (>= 3.11), python3-pytz, python3:any, python3-numpy, python3-pandas-lib (>= 2.2.3+dfsg), tzdata
Recommends: python3-scipy, python3-matplotlib, python3-tz, python3-bottleneck, python3-numexpr, python3-odf, python3-openpyxl, python3-bs4, python3-html5lib, python3-lxml, python3-tables, python3-jinja2
Suggests: python-pandas-doc, python3-statsmodels
Breaks: augur (<< 24.4.0-1~), cnvkit (<< 0.9.10~), python3-altair (<< 5.0.1~), python3-anndata (<= 0.8.0-4), python3-biom-format (<< 2.1.15.2-3~), python3-cfgrib (<= 0.9.9-1), python3-cooler (<< 0.9.3~), python3-dask (<< 2023.12.1~), python3-dials (<< 3.17.0~), python3-dyda (<= 1.41.1-1.1), python3-emperor (<< 1.0.3+ds-9~), python3-esda (<= 2.5.1-1), python3-feather-format (<< 0.3.1+dfsg1-8~), python3-hypothesis (<< 6.83.1~), python3-influxdb (<< 5.3.2-1~), python3-joypy (<= 0.2.2-2), python3-jsonpickle (<< 3.0.2+dfsg-1~), python3-mirtop (<< 0.4.25-5~), python3-nanoget (<< 1.19.3~), python3-pauvre (<< 0.2.3-3~), python3-pyani (<< 0.2.12-3~), python3-pymatgen (<< 2024.1.27~), python3-pyranges (<= 0.0.111+ds-6), python3-seaborn (<< 0.13.0~), python3-skbio (<< 0.5.9~), python3-sklearn-pandas (<= 2.2.0-1.1), python3-statsmodels (<< 0.14.2~), python3-sunpy (<< 5.1.0-1~), python3-ulmo (<= 0.8.8+dfsg1-2), python3-upsetplot (<< 0.8.0-3~), python3-xarray-sentinel (<< 0.9.5+ds-2~), q2-cutadapt (<< 2023.7.0-1~), q2-demux (<= 2023.9.1+dfsg-1), q2-quality-control (<= 2022.11.1-2), q2-taxa (<= 2023.9.0+dfsg-1), q2-types (<= 2023.9.0-1), q2templates (<= 2023.9.0+ds-1)
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.
