Rainbow Print
Inspired by Rainbow CSV - Rainbow Print adds colors to the standard outputs to ease the process of monitoring respective data / metrics
Main features
- Highlights data points in different colors to ease monitoring capabilities
- By default provides 7 colors (light and dark each) for N Variables(rolling). Supports N colors
- Support for Dark and Light backgrounds
- Supports string print based on separator / dictionary's key-value based print
- Supports custom colors based on
sty.fgpackage - Supports use of python logging frameword for advance usecases
Demo
How rainbow print helps
Default print a dictionary of metrics for 10 steps
Default print a string of metrics for 10 steps
Rainbow Print - Dark Mode
Rainbow Print - Light Mode
Requirements
- python >3
- sty
Installation
pip install rainbow-print
Usage
# Print
from rainbow_print import printr
data = {"Episode": 10, "Episode Len":5, "Cost": 0.95, "Reward":135, "Mode":"Explore"}
printr(data)
data = f"Episode:{10}, Episode Len:{5}, Cost:{0.95}, Reward:{135}, Mode:{'Explore'}"
printr(data, sep=',')
# Logging
from rainbow_print import rlogging
logger = rlogging.getLogger(__name__)
data = {"Episode": 10, "Episode Len":5, "Cost": 0.95, "Reward":135, "Mode":"Explore"}
logger.info(data)
data = f"Episode:{10}, Episode Len:{5}, Cost:{0.95}, Reward:{135}, Mode:{'Explore'}"
logger.debug(data, sep=',')
# Get information regarding current configuration
printr.info()
>>Theme: dark
>>Colors: ['\x1b[38;2;5;152;154m', '\x1b[38;2;116;162;103m', '\x1b[38;2;179;128;168m', '\x1b[38;2;255;127;0m', '\x1b[38;2;112;154;180m', '\x1b[38;2;255;255;0m', '\x1b[38;2;255;0;0m']
Configuration
# By default printr works in dark mode
from rainbow_print import printr
# Switch to light palette
printr.set_light_palette()
# Switch to dark palette
printr.set_dark_palette()
# Set colors for dark palette
colors = [sty.fg(0,0,0), sty.fg(255,255,255)]
printr.update_dark_palette(colors)
# Set colors for light palette
colors = [sty.fg(0,0,0), sty.fg(255,255,255)]
printr.update_light_palette(colors)
Metadata
Release files for rainbow-print 1.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| rainbow-print-1.0.5.tar.gz | 7.9 kB | Without provenance | Details for rainbow-print-1.0.5.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| rainbow_print-1.0.5-py3-none-any.whl | Python 3 | none | any | Details for rainbow_print-1.0.5-py3-none-any.whl |
Total release size: 13.7 kB
Release files / rainbow-print-1.0.5.tar.gz
| Download URL | rainbow-print-1.0.5.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3ccbe37b31c8e2c3f3860534a8078bd1c8d6f881b90ac2d05f9a37f468411d3a
|
|
BLAKE2b-256 checksum How to use checksums |
3e25ea6bcb410307b8ccc12472703d724e0300ac07721d7b87c7e798fe88f435
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.0.0.post20200309 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6
|
Release files / rainbow_print-1.0.5-py3-none-any.whl
| Download URL | rainbow_print-1.0.5-py3-none-any.whl |
|---|---|
| Size | 5.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
09607b38a09ee0653be9b3719dd029626c7716451492d28f6e27defd0d5b422a
|
|
BLAKE2b-256 checksum How to use checksums |
f1323f43ddd76df0452c11ac06ff9b79ed77851e9badea7da6d847a798cc6544
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.3
|
Security for rainbow-print 1.0.5
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.