Skip to main content

Seaborn is a library for making statistical graphics in Python. It is built on top of matplotlib and closely integrated with pandas data structures.

Here is some of the functionality that seaborn offers:

  • A dataset-oriented API for examining relationships between multiple variables

  • Specialized support for using categorical variables to show observations or aggregate statistics

  • Options for visualizing univariate or bivariate distributions and for comparing them between subsets of data

  • Automatic estimation and plotting of linear regression models for different kinds dependent variables

  • Convenient views onto the overall structure of complex datasets

  • High-level abstractions for structuring multi-plot grids that let you easily build complex visualizations

  • Concise control over matplotlib figure styling with several built-in themes

  • Tools for choosing color palettes that faithfully reveal patterns in your data

Seaborn aims to make visualization a central part of exploring and understanding data. Its dataset-oriented plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and statistical aggregation to produce informative plots.

Metadata

Release files for seaborn 0.10.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for seaborn 0.10.0
File Size Uploaded
seaborn-0.10.0.tar.gz 194.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for seaborn 0.10.0
File Interpreter ABI Platform
seaborn-0.10.0-py3-none-any.whl Python 3 none any Details

Total release size: 410.1 kB

Release files / seaborn-0.10.0.tar.gz

Download URL seaborn-0.10.0.tar.gz
Size 194.1 kB
Tags Source
SHA-256 checksum
How to use checksums
59fe414e138d7d5ea08b0feb01b86caf4682e36fa748e3987730523a89aecbb9
BLAKE2b-256 checksum
How to use checksums
afb80c299903a2f6b8170eccf522ec44c3d7bbe4f10427cd90cf9bebf52c9919
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0.post20200119 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.4

Release files / seaborn-0.10.0-py3-none-any.whl

Download URL seaborn-0.10.0-py3-none-any.whl
Size 215.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
bdf7714ef7d4603e6325d3902e80a46d6149561e1cc237ac08a1c05c3f55a996
BLAKE2b-256 checksum
How to use checksums
70bd5e6bf595fe6ee0f257ae49336dd180768c1ed3d7c7155b2fdf894c1c808a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0.post20200119 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.4
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page