诚信代理 ENERPLOT怎么使用
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关 键 词：ENERPLOT怎么使用
行 业：IT 软件 物业房地产软件
发布时间：2021-12-31
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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.
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.
Application-level functions include loading data, creating graphs, and generating curves. Additionally, Enerplot’s Python math library allows you to create custom curves.
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:
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