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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:
Enerplot支持多种格式的数据导入
PSCAD™/EMTDC™ 输出 (.inf, .infx, .out);
COMTRADE (.cfg) – 1991, 1999 ASCII码和二进制码;
PSS/E (.out, .asc);
RSCAD (.out) (RTDS Technologies);
逗号分隔值(.csv) – 格式化与非格式化;
Text文件(.txt) –格式化与非格式化.
从上面支持的任何文件类型中获取和加载的数据集都可以转换和保存为COMTRADE或逗号分隔变量(.csv)格式。
You can write scripts using the embedded Python interface or record your actions to create custom marcos. Application-level functions include: loading data, creating graphs, and generating curves. Additionally, Enerplot's Python math library provides the ability to create custom curves.
Enerplot提供了一个高度自动化的环境来快速有效地处理大量数据。
特性和优点包括
带有嵌入Python接口的自动化脚本编写
通过记录用户操作创建自定义脚本的功能
强大的嵌入式数学解析器,用于创建和修改新的和已有的曲线
快速傅里叶转换(FFT)分析工具
在进行类似的研究时,节省时间,并能够模板化项目
通过切换引用和加载的数据集,在曲线之间快速切换
易于移动、缩放、平滑,并手动调整曲线
使用延迟加载功能,在几秒钟内加载大量数据文件
使用数据文件更改检测更新图形的选项
Datasets sourced and loaded from any of the supported types above can be converted and saved as either COMTRADE or Comma Separated Variable (*.csv) format.
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