1. i-SAS_Visualizer-template

1.1. interface

class visualizer.interface.Interface(fig_name, size_ratio, input_names=None, variable_names=None, structural_model_name=None, **kwargs)

Bases: object

interface class

GRID_NUM = 12
DPI = 100
package_name = 'visualizer'
content_type = 'visualizer'
__init__(fig_name, size_ratio, input_names=None, variable_names=None, structural_model_name=None, **kwargs)

initialization.

Parameters

  • fig_name (str) – figure name.

  • size_ratio (tuple(int, int)) – figure size ratio. (1 <= int <= 12)

  • input_names (dict. optional) – dict whose keys are names of input quantity and values are names of input data.

  • variable_names (dict, optional) – dict whose keys are names of used quantity and values are names of variables.

  • structural_model_name (str, optional) – structural model name

  • **kwargs – Arbitrary keyword arguments.

Examples

>>> fig_name = 'example'
>>> size_ratio = (1, 1)
>>> data_names = {stress: ['ifem_stress_x', 'ifem_stress_y', 'ifem_stress_xy']}
>>> model_name = 'test_model'
>>> Interface(fig_name, size_ratio, data_names, model_name)
set_project(project_name)

set project

Parameters

project_name (str) – project name.

set_model(structural_models)

set model

Parameters

structural_models (dict) – structural models.

setup(window_width)

create figure canvas in gui

Parameters

window_width (int) – window width (px)

Returns

figure canvas

Return type

FigureCanvasQTAgg

update(data, variables, count)

update figure in gui

Parameters

  • data (dict) – calculated data

  • variables (dict) – variables for interactive gui.

  • count (int) – iteration count

__call__(window_width, data, variables)

create figure in visualization

Parameters

  • window_width (int) – window width (px)

  • data (dict) – calculated data

  • variables (dict) – variables for interactive gui.

1.2. model

class visualizer.model.Model(fig_name, cfg)

Bases: object

model class

IMG_DIR = PosixPath('/root/datadrive/gui/visualizer/tmp')
common_data = {}
update_count = {}
__init__(fig_name, cfg)

constructor

Parameters

  • fig_name (str) – figure name.

  • cfg (dict) – config.

set_model(structural_models)

set model

Parameters

structural_models (dict) – structural models.

__call__(ax, data, variables, count=nan)

draw figure

Parameters

  • ax (matplotlib.figure.axes) – axes of matplotlib figure

  • data (pandas.DataFrame) – calculated data.

  • variables (dict) – variables for interactive gui.

  • count (int or float, optional) – the number of iterations

Returns

axes after being drawn

Return type

matplotlib.figure.axes

example(ax)

create figure named example.

Parameters

ax (matplotlib.figure.axes) – axes of matplotlib figure

Returns

axes after being drawn

Return type

matplotlib.figure.axes