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Application Automation Using Python : Automate your repetitive tasks with the embedded Python-based scripting interface. Writing files is easy: Simply press the record button and your actions will be recorded as Python in a file. See Application Automation with Python for a comprehensive guide.
Features and benefits
Automated scripting with embedded Python interface;
The ability to create custom scripts by recording user actions;
Powerful, embedded math parser for creating and modifying new and pre-existing curves;
Fast-Fourier Transform (FFT) analysis tools;
Saving time with the ability to template projects when performing similar studies;
Quickly switching between curves by toggling references and loaded datasets;
Easily shifting, scaling, smoothing, and manually adjusting curves;
Loading huge data files in seconds with the lazy-loading feature;
Option to update graphs using data file change detection.
Once handles to the 3 channels have been acquired, we can obtain a handle to the top (currently the only) graph in the graph frame, and add the curves to that graph. Finally, we can zoom in on the beginning of the graph, to show the start-up detail.
Adding corresponding sample values together will produce the zero sequence voltage. Multiplying the resulting sum by 1000 will convert the result to volts. This can be done for every point in the time domain with one Python statement, using the zip() function and list comprehension:
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