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Process Data Quickly and Efficiently
Enerplot™ is a fully automatable application that allows you to perform highly repetitive tasks at lightning speed. You can write scripts using the embedded Python interface or record your actions to create custom macros.
Earlier, we retrieved handles to 3 channels: ph_a, ph_b and ph_c. Each channel represents a series of values over a domain, time in this case. We can pull that data (the series of values) from Enerplot into Python by access the channels’ .data members. For instance, the first few samples from each of those channels:
top = frame.panel(0)
top.properties(title="Phase Voltages (kV)")
top.add_curves(ph_a, ph_b, ph_c)
top.zoom(xmax=0.15, ymax=1.0, ymin=-0.2)
Additional Graphs
Since we’ll be adding more information to the graph frame, to keep things organized, we’ll create a second graph inside the graph frame for the additional curve.
If a is run from IDLE, the shebang line is treated as a comment line, so take care to ensure the Python 3.x version of IDLE is used.
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