Seaborn: statistical data visualization
Project description
Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels.
Some of the features that seaborn offers are
Several built-in themes that improve on the default matplotlib aesthetics
Tools for choosing color palettes to make beautiful plots that reveal patterns in your data
Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data
Tools that fit and visualize linear regression models for different kinds of independent and dependent variables
A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate
High-level abstractions for structuring grids of plots that let you easily build complex visualizations
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file seaborn-0.3.1.tar.gz.
File metadata
- Download URL: seaborn-0.3.1.tar.gz
- Upload date:
- Size: 69.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 68be359022210a30ae9e59389b18df72e0019e38947f0e2c393ef8db096ac09e |
|
| MD5 | 7f39766a1dd2c9ddaacf7420d77208b2 |
|
| BLAKE2b-256 | 582c862c94bbdcb83cad19e01ef54b485b5a90a1c4a6b6a72eb603420e1218cc |
