Python matplotlib-enhancer library which painlessly creates beautiful default matplotlib plots. Inspired by Edward Tufte’s work on information design and Cynthia Brewer’s work on color perception.
I truly believe that scientific progress is impeded when improper data visualizations are used. I spent a lot of time tweaking my figures to make them more understandable, and realized the scientific world could be a better place if the default parameters for plotting libraries followed recent advances in information design research. And thus prettyplotlib was born.
Release files for prettyplotlib 0.1.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| prettyplotlib-0.1.7.tar.gz | 697.1 kB | Details |
Release files / prettyplotlib-0.1.7.tar.gz
| Download URL | prettyplotlib-0.1.7.tar.gz |
|---|---|
| Size | 697.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
30f7c124f92ab09fed38f92ac268e709c741aea9da18f972a7bdcfc7982c784e
|
|
BLAKE2b-256 checksum How to use checksums |
f28935079781fe5f8c4e5258b88bb0a80d4a2028c6206ccdea12f4a94528dc5e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |