Graphics operations#

PyAEDT enables powerful post-processing of AEDT results, allowing you to visualize graphics objects and plot data with ease.

PyAEDT supports external report capabilities available with installed third-party packages like pyvista, matplotlib, pandas, and numpy.

There have three main categories:

Three-dimensional visualization#

PyAEDT benefits of pyvista package and allows to generate models and 3D plots.

`ModelPlotter`	Manages the data to be plotted with `pyvista`.
`FieldClass`	Class to manage Field data to be plotted in pyvista.
`ObjClass`	Manages mesh files to be plotted in pyvista.

PyAEDT benefits of matplotlib package and allows to generate 2D plots.

`ReportPlotter`	Matplotlib Report manager.
`is_notebook`	Check if pyaedt is running in Jupyter or not.

PyAEDT benefits of fpdf2 package and allows to generate PDF files.

`AnsysReport.read_template`	Reade pdf template.
`AnsysReport.header`	Header.
`AnsysReport.footer`	Footer.
`AnsysReport.create`	Create a new report using `report_specs` properties.
`AnsysReport.add_project_info`	Add project information.
`AnsysReport.add_section`	Add a new section to Pdf.
`AnsysReport.add_chapter`	Add a new chapter.
`AnsysReport.add_sub_chapter`	Add a new sub-chapter.
`AnsysReport.add_image`	Add a new image.
`AnsysReport.add_caption`	Add a new caption.
`AnsysReport.add_empty_line`	Add a new empty line.
`AnsysReport.add_page_break`	Add a new page break line.
`AnsysReport.add_table`	Add a new table from a list of data.
`AnsysReport.add_text`	Add a new text.
`AnsysReport.add_toc`	Add toc.
`AnsysReport.save_pdf`	Save pdf.
`AnsysReport.add_chart`	Add a chart to the report using matplotlib.