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https://github.com/statute8234/circuitpythonprojects
Rating: (4/10) This Python script simulates circuits using PySpice, importing libraries like NumPy and Matplotlib. It defines voltage divider, diode circuits, subcircuit definitions, DC sweep analysis, and simulates each circuit using the simulator.
https://github.com/statute8234/circuitpythonprojects
matplotlib numpy os pyspice sys
Last synced: about 2 months ago
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Rating: (4/10) This Python script simulates circuits using PySpice, importing libraries like NumPy and Matplotlib. It defines voltage divider, diode circuits, subcircuit definitions, DC sweep analysis, and simulates each circuit using the simulator.
- Host: GitHub
- URL: https://github.com/statute8234/circuitpythonprojects
- Owner: Statute8234
- Created: 2023-11-01T02:11:27.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-03-17T01:35:21.000Z (10 months ago)
- Last Synced: 2024-03-17T06:19:10.495Z (10 months ago)
- Topics: matplotlib, numpy, os, pyspice, sys
- Language: Python
- Homepage:
- Size: 5.86 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# CircuitPythonProjects
This Python script uses PySpice to simulate circuits powered by Ngspice. It imports libraries like NumPy and Matplotlib, sets up voltage divider and diode circuits, defines custom subcircuits, and conducts DC sweep analysis. The script then simulates each circuit using the defined simulator and prints the results.
## Table of Contents
- [About](#about)
- [Features](#features)
- [Imports](#Imports)
- [Rating: 4/10](#Rating)# About
This Python script is a Python script for circuit simulation using PySpice, a package for simulating electronic circuits powered by Ngspice. It imports libraries like NumPy for numerical computations, Matplotlib for plotting, and PySpice for circuit simulation. The script sets up a simple voltage divider circuit with two resistors, a diode circuit with a voltage source, resistors, and diode component, a custom subcircuit with a resistor and diode, and a DC sweep circuit for DC sweep analysis. The script then simulates each circuit using the defined simulator and prints the results.
# Features
Copilot is an AI companion that can assist with various tasks and topics. The script you mentioned is a Python script for circuit simulation using PySpice. It uses PySpice, a module for simulating electronic circuits powered by Ngspice, a SPICE simulator. The script can create circuits using PySpice components like resistors, capacitors, inductors, sources, and devices. It can also use PySpice analysis to simulate circuit behavior and output results.
The script can integrate NumPy and Matplotlib for numerical computations on circuit data, such as voltage, current, power, or impedance. It can also use Matplotlib for plotting, displaying circuit data like waveforms, frequency spectra, or Bode plots.
The script can simulate various types of circuits, such as a simple voltage divider circuit, a diode circuit, a custom subcircuit, and a DC sweep circuit for DC sweep analysis. It can guide users on defining circuit components, parameters, and connections, running simulations, and plotting results.# Imports
numpy, matplotlib, sys, os, PySpice PySpice.Logging.Logging, PySpice.Spice.Netlist, PySpice.Unit
# Rating
The PySpice library is a useful tool for creating and simulating simple electronic circuits, covering voltage dividers, diodes, raw SPICE, subcircuits, and basic and custom DC sweeps. The code is organized into sections for different types of circuits, making it easy to understand. However, it has some cons, such as code duplication, lack of functions/classes, and inability to visualize results using plots or graphs.
Code duplication occurs when the instantiation of the `Circuit` object and setting up the simulator are repeated multiple times. The code lacks abstraction, which could be improved by encapsulating common operations into functions or classes. Variable names are not descriptive, making it difficult to understand their purpose without context. Error handling mechanisms, such as try-except blocks, are not implemented, and the code lacks visualization.
To improve, the code should be refactored to eliminate redundant sections, encapsulate repetitive operations into functions or classes, use descriptive variable and function names, implement error handling mechanisms, and incorporate visualization functionality to better understand circuit behavior and performance.