|
Topological Material Analysis 0.5
Analyse the structures of materials using tools from TDA
|
Functions | |
| test () | |
| define various functions needed for later | |
| compute () | |
| generate_plots () | |
| display_plots () | |
| save_plots () | |
Variables | |
| comp_tab | |
| plot_tab | |
| vis_tab | |
| mode | |
| params | |
| file_path = comp_tab.text_input("Initial structure file:",key="file_path") | |
| lets set up the computation tab | |
| file_format = comp_tab.text_input("File format:", key="file_format",placeholder="Auto") | |
| processed | |
| manual_config = comp_tab.checkbox("Manually specify configuration", key="manual_config") | |
| config_file | |
| key | |
| Set up visualisation tab. | |
| config_name | |
| atoms | |
| radii | |
| manual_compute = comp_tab.checkbox("Manually specify settings for the computations (i.e number of threds, and if you want to compute kernel/image/cokernel)", key="maual_comp_config") | |
| same_config_file = comp_tab.checkbox("The computation settings are in the same configuration file.", key="same_config_file") | |
| comp_file | |
| comp_name | |
| sample_start | |
| sample_end | |
| sample_step | |
| repeat_x | |
| repeat_y | |
| repeat_z | |
| kernel | |
| image | |
| cokernel | |
| thickness | |
| placeholder | |
| n_threads | |
| on_click | |
| pd_checks = plot_tab.columns(3) | |
| Set up the plot tab. | |
| apf_checks = plot_tab.columns(3) | |
| plot_buttons = plot_tab.columns(3) | |
| selected_row | |
| dimension | |
| vis_dgm | |
| dfVis | |
| list | to_display = ["birth", "death", "lifetime"] |
| viz = vis_tab.dataframe(st.session_state.dfVis[to_display], on_select="rerun") | |
| deprecated__batch_mode.compute | ( | ) |
| deprecated__batch_mode.display_plots | ( | ) |
| deprecated__batch_mode.generate_plots | ( | ) |
| deprecated__batch_mode.save_plots | ( | ) |
| deprecated__batch_mode.test | ( | ) |
define various functions needed for later
| deprecated__batch_mode.apf_checks = plot_tab.columns(3) |
| deprecated__batch_mode.atoms |
| deprecated__batch_mode.cokernel |
| deprecated__batch_mode.comp_file |
| deprecated__batch_mode.comp_name |
| deprecated__batch_mode.comp_tab |
| deprecated__batch_mode.config_file |
| deprecated__batch_mode.config_name |
| deprecated__batch_mode.dfVis |
| deprecated__batch_mode.dimension |
| deprecated__batch_mode.file_format = comp_tab.text_input("File format:", key="file_format",placeholder="Auto") |
| deprecated__batch_mode.file_path = comp_tab.text_input("Initial structure file:",key="file_path") |
lets set up the computation tab
| deprecated__batch_mode.image |
| deprecated__batch_mode.kernel |
| deprecated__batch_mode.key |
Set up visualisation tab.
| deprecated__batch_mode.manual_compute = comp_tab.checkbox("Manually specify settings for the computations (i.e number of threds, and if you want to compute kernel/image/cokernel)", key="maual_comp_config") |
| deprecated__batch_mode.manual_config = comp_tab.checkbox("Manually specify configuration", key="manual_config") |
| deprecated__batch_mode.mode |
| deprecated__batch_mode.n_threads |
| deprecated__batch_mode.on_click |
| deprecated__batch_mode.params |
| deprecated__batch_mode.pd_checks = plot_tab.columns(3) |
Set up the plot tab.
| deprecated__batch_mode.placeholder |
| deprecated__batch_mode.plot_buttons = plot_tab.columns(3) |
| deprecated__batch_mode.plot_tab |
| deprecated__batch_mode.processed |
| deprecated__batch_mode.radii |
| deprecated__batch_mode.repeat_x |
| deprecated__batch_mode.repeat_y |
| deprecated__batch_mode.repeat_z |
| deprecated__batch_mode.same_config_file = comp_tab.checkbox("The computation settings are in the same configuration file.", key="same_config_file") |
| deprecated__batch_mode.sample_end |
| deprecated__batch_mode.sample_start |
| deprecated__batch_mode.sample_step |
| deprecated__batch_mode.selected_row |
| deprecated__batch_mode.thickness |
| list deprecated__batch_mode.to_display = ["birth", "death", "lifetime"] |
| deprecated__batch_mode.vis_dgm |
| deprecated__batch_mode.vis_tab |
| deprecated__batch_mode.viz = vis_tab.dataframe(st.session_state.dfVis[to_display], on_select="rerun") |