PySpicer is a toolchain of python utilities design to interact with LTSpice Electronic Simulator.
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LTSteps.py An utility that extracts from LTSpice output files data, and formats it for import in a spreadsheet,s uch like Excel or Calc.
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LTSpiceRaw_Reader.py A pure python class that serves to read raw files into a python class.
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Histogram.py Uses numpy and matplotlib to create an histogram and calculate the sigma deviations. This is useful for Monte-Carlo analysis.
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LTSpiceBatch.py This is a script to launch LTSpice Simulations. This is useful because:
- Can overcome the limitation of only stepping 3 parameters
- Different types of simulations .TRAN .AC .NOISE can be run in a single batch
- The RAW Files are smaller and easier to treat
- When used with the LTSpiceRaw_Reader.py and LTSteps.py, validattion of the circuit can be done automatically.
- Different models can be simulation in a single batch. The principle of operation is the following :
- Add to the Spice circuit a .INC sim_settings.lib . In this include simulation directives are written by the script per each simulation call.
- Use the python script to update the simulation directives and call LTSpice to run the simulation in command line.
- When the simulation is complete, the simulation results are renamed according to user guidance.
Note: It only works with Windows based installations.
- Tools website : http://www.nunobrum.com/ltspicer2.html
- Repo owner : me@nunobrum.com
- Alternative contact : nuno.brum@gmail.com
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Version 0.6 Histogram.py now has an option to make the histogram directly from values stored in the clipboard
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Version 0.5 The LTSpice_RawReader.py now uses the struc.unpack function for a faster execution
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Version 0.4 Added LTSpiceBatch.py to the collection of tools
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Version 0.3 A version of LTSteps that can be imported to use in a higher level script
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Version 0.2 Adding LTSteps.py and Histogram.py
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Version 0.1 First commit to the bitbucket repository.