How to Install and Uninstall python3-pandas Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 14,2024

1. Install "python3-pandas" package

This guide let you learn how to install python3-pandas on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install python3-pandas

2. Uninstall "python3-pandas" package

This is a short guide on how to uninstall python3-pandas on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove python3-pandas $ sudo apt autoclean && sudo apt autoremove

3. Information about the python3-pandas package on Ubuntu 21.10 (Impish Indri)

Package: python3-pandas
Architecture: all
Version: 1.1.5+dfsg-2
Priority: optional
Section: universe/python
Source: pandas
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 14697
Depends: python3-dateutil (>= 2.7.3~), python3-numpy (>= 1:1.15~), python3-tz, python3:any, python3-pandas-lib (>= 1.1.5+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-dask (<< 2.11.0+dfsg-1.1~), python3-feather-format (<< 0.3.1+dfsg1-4~), python3-seaborn (<< 0.9.1~), python3-skbio (<< 0.5.6-3~), python3-statsmodels (<< 0.11.0~), q2-demux (<< 2019.10.0-1.1~), q2-types (<< 2019.10.0-1.1~), q2templates (<< 2019.10.0+dfsg-1.1~)
Filename: pool/universe/p/pandas/python3-pandas_1.1.5+dfsg-2_all.deb
Size: 2077440
MD5sum: 454366963ddee10a10da55b343f127ab
SHA1: cc0c4033021573e61f2ed60f5d3b21c37d90f524
SHA256: 7c4432b84d315f19afe4caa9151f21fb6f6b2a427c668093f3fea37a82e5a03c
SHA512: 56a51987edfa2217a1acc133723898594b18519a2c3652f2f5bb12ad8e881d2cadfa8998d36deb0956f56f307b7af7a05cd2e0399f59a371ea264b2c9525579e
Homepage: https://pandas.pydata.org/
Description-en: 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.
Description-md5: cebad5283eae2d4545bd561b1c18aa4e