In browser pseudo-SPICE Python circuit response simulator
I made this because I am constantly messing up my metric conversions, and I'm hoping that I can simply create a class structure so that I can be more confident with my circuit evaluation
Further, by automating tests on the class, I can ensure that this class method is reliable to be used by all circuit models, ensure consistency and uniformness across all the classes that I may implement
This class is made as a universal data structure to be used by these circuit models instead of ints or floats (although these are really just over glorified ints and floats)
If you have a value with a metric prefix, the class can be called with:
Value = Number("10k")
To access that value, you would call Value.f_Value:
print(Value.i_Value)
$ 10000.0
If a prefix is being specified, make sure it is a valid one, and is listed below:
Valid Prefixes: T, G, M, k, h, d, c, m, u, n, p
If you don't have a number with a metrix prefix, you can still call
Value = Number(12.345)
And you can still access the value by:
print(Value.i_Value)
$ 12.345
This class will automatically detect sig-figs and round accordingly upon creation.
A simple class which models the following circuit:
To create a lowpass filter with R=10kOhms and C=318nF
RCLowPassFilter = RCLowPass(o_Resistance="10k", o_Capacitance="318n")
Where: - o_Resistance and o_Capacitance are mandatory input fields that can be either a string specifying a float and metric scale pre-fix or simply a unitary float
Once created, the following properties of the circuit are accessible:
- Time Constant:
RCLowPassFilter.f_Tau - Cut-off Frequency:
RCLowPassFilter.f_CutOffFrequency - Damping co-efficient:
RCLowPassFilter.f_DampingCoefficient - Resonant Frequency:
RCLowPassFilter.f_ResonantFrequency - Transfer Function:
RCLowPassFilter.s_TransferFunction