Python package that generates hardware pinout diagrams as SVG images

Overview

PinOut

A Python package that generates hardware pinout diagrams as SVG images. The package is designed to be quite flexible and works well for general 'pinning' labels to an image.

How to use

Some demonstration code and notes are a quick way to get started. Browsing the source code is recommended in the absence of more detailed explaination. The guide here walks through creating a diagram, add an image and some labels. Then finally exporting the resulting SVG graphic.

Setup

Using a virtual environment is recommended; Start by installing the PinOut diagram package. Either clone this repo and pip install it or it can be installed directly from github...

pip install git+https://github.com/j0ono0/[email protected]

You will need an image and a stylesheet to complete this guide. Some sample files are included with the package and can be duplicated for your use. Launch Python at the location you intend to work and enter the following:

from pinout import resources
resources.duplicate()

# expected output:
# >>> sample_diagram.py duplicated.
# >>> sample_hardware_board.png duplicated.
# >>> sample_styles.css duplicated.

Spoiler Alert: 'sample_diagram.py' is a completed script that duplicates the code in this guide. Running it will create a sample SVG pinout diagram.

Starting a pinout diagram

Start by importing the pinout diagram module

from pinout import diagram

Create a new diagram and add a stylesheet.

pinout_diagram = diagram.Diagram()
pinout_diagram.stylesheet = 'sample_styles.css'

TIP: Component coordinates

On export the final diagram dimensions are calculated and all components shifted into view (via the SVG viewBox). Consequently, component 'x' and 'y' positioning is relative to each other and not the parent diagram. It is recommended to position your image to make easier calculations for subsequent pin placements.

Add an image to the diagram

The image is linked in the final diagram (not embedded or copied to the export destination). If a relative path is used it must be relative to where the diagram is exported to.

pinout_diagram.add_image(0, 0, 220, 300, 'sample_hardware_board.png')

Create a pin

This is slow way, included to provide an idea of the steps going on behind the scene.

leftpin = diagram.Pin(16, 80, 'left')

Add some labels to the pin Note: label width, height, and gap to next label, can be controlled per label and override default settings.

leftpin.add_label('#1', 'gpio', 60, 20, 60)
leftpin.add_label('A1', 'analog')
leftpin.add_label('PWM', 'pwm')

Add this pin to the diagram

pinout_diagram.components.append(leftpin)

Create a Pin and Labels in a single action

The fast - and recommended - way.

label_data = [('#2', 'gpio',60, 20, 60),('GPI', 'gpi')]  
pinout_diagram.add_pin(16, 120, 'left', label_data)

With a little 'python-foo' this process can be streamlined dramatically

custom_specs = (60, 20, 60) 
pin_label_data = [
        [('Vss', 'pwr-mgt', 40, 20, 190)], 
        [('GND', 'pwr-mgt', 40, 20, 190)], 
        [('#6', 'gpi',*custom_specs),('A3', 'analog'),('CLK', 'gpi')], 
        [('#5', 'gpio',*custom_specs),('A2', 'analog')], 
    ]

Hardware headers have evenly spaced pins - which can be taken advantage of in a loop. These variables were determined by measuring pin locations on the image.

y_offset = 80
x_offset = 204
pitch = 40

for i, label_data in enumerate(pin_label_data):
    y = y_offset + pitch * i
    pinout_diagram.add_pin(x_offset, y, 'right', label_data)

Export the diagram

The final diagram can be exported as a graphic in SVG format. This vector format and excellent for high quality printing but still an effecient size for web-based usage. Note: the 'overwrite' argument is a safeguard to prevent unintentionally losing existing files. Set it to True for easier tinkering on a single SVG graphic.

pinout_diagram.export('sample_diagram.svg', overwrite=False)

# expected output:
# > 'sample_diagram.svg' exported successfully.
Owner
UI and UX designer with some developer garnish on top.
NorthPitch is a python soccer plotting library that sits on top of Matplotlib

NorthPitch is a python soccer plotting library that sits on top of Matplotlib.

Devin Pleuler 30 Feb 22, 2022
Draw datasets from within Jupyter.

drawdata This small python app allows you to draw a dataset in a jupyter notebook. This should be very useful when teaching machine learning algorithm

vincent d warmerdam 505 Nov 27, 2022
Print matplotlib colors

mplcolors Tired of searching "matplotlib colors" every week/day/hour? This simple script displays them all conveniently right in your terminal emulato

Brandon Barker 32 Dec 13, 2022
在原神中使用围栏绘图

yuanshen_draw 在原神中使用围栏绘图 文件说明 toLines.py 将一张图片转换为对应的线条集合,视频可以按帧转换。 draw.py 在原神家园里绘制一张线条图。 draw_video.py 在原神家园里绘制视频(自动按帧摆放,截图(win)并回收) cat_to_video.py

14 Oct 08, 2022
An application that allows you to design and test your own stock trading algorithms in an attempt to beat the market.

StockBot is a Python application for designing and testing your own daily stock trading algorithms. Installation Use the

Ryan Cullen 280 Dec 19, 2022
Simple, realtime visualization of neural network training performance.

pastalog Simple, realtime visualization server for training neural networks. Use with Lasagne, Keras, Tensorflow, Torch, Theano, and basically everyth

Rewon Child 416 Dec 29, 2022
a robust room presence solution for home automation with nearly no false negatives

Argos Room Presence This project builds a room presence solution on top of Argos. Using just a cheap raspberry pi zero w (plus an attached pi camera,

Angad Singh 46 Sep 18, 2022
GDSHelpers is an open-source package for automatized pattern generation for nano-structuring.

GDSHelpers GDSHelpers in an open-source package for automatized pattern generation for nano-structuring. It allows exporting the pattern in the GDSII-

Helge Gehring 76 Dec 16, 2022
The Timescale NFT Starter Kit is a step-by-step guide to get up and running with collecting, storing, analyzing and visualizing NFT data from OpenSea, using PostgreSQL and TimescaleDB.

Timescale NFT Starter Kit The Timescale NFT Starter Kit is a step-by-step guide to get up and running with collecting, storing, analyzing and visualiz

Timescale 102 Dec 24, 2022
Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns.

Make Complex Heatmaps Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. H

Zuguang Gu 973 Jan 09, 2023
Typical: Fast, simple, & correct data-validation using Python 3 typing.

typical: Python's Typing Toolkit Introduction Typical is a library devoted to runtime analysis, inference, validation, and enforcement of Python types

Sean 171 Jan 02, 2023
Domain Connectivity Analysis Tools to analyze aggregate connectivity patterns across a set of domains during security investigations

DomainCAT (Domain Connectivity Analysis Tool) Domain Connectivity Analysis Tool is used to analyze aggregate connectivity patterns across a set of dom

DomainTools 34 Dec 09, 2022
:small_red_triangle: Ternary plotting library for python with matplotlib

python-ternary This is a plotting library for use with matplotlib to make ternary plots plots in the two dimensional simplex projected onto a two dime

Marc 611 Dec 29, 2022
Gaphas is the diagramming widget library for Python.

Gaphas Gaphas is the diagramming widget library for Python. Gaphas is a library that provides the user interface component (widget) for drawing diagra

Gaphor 144 Dec 14, 2022
Monochromatic colorscheme for matplotlib with opinionated sensible default

Monochromatic colorscheme for matplotlib with opinionated sensible default If you need a simple monochromatic colorscheme for your matplotlib figures,

Aria Ghora Prabono 2 May 06, 2022
The implementation of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".

The HIST framework for stock trend forecasting The implementation of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining C

Wentao Xu 111 Jan 03, 2023
Decision Border Visualizer for Classification Algorithms

dbv Decision Border Visualizer for Classification Algorithms Project description A python package for Machine Learning Engineers who want to visualize

Sven Eschlbeck 1 Nov 01, 2021
nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.

nptsne nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation and HSNE modelling. For more detail s

Biomedical Visual Analytics Unit LUMC - TU Delft 29 Jul 05, 2022
Geocoding library for Python.

geopy geopy is a Python client for several popular geocoding web services. geopy makes it easy for Python developers to locate the coordinates of addr

geopy 3.8k Jan 02, 2023
Gesture controlled media player

Media Player Gesture Control Gesture controller for media player with MediaPipe, VLC and OpenCV. Contents About Setup About A tool for using gestures

Atharva Joshi 2 Dec 22, 2021