3. i-SAS_ShipVisualizer

3.1. interface

class ship_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 = 'ship_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.

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.

3.2. model

class ship_visualizer.model.Model(fig_name, cfg)

Bases: object

model class

IMG_DIR = PosixPath('/root/datadrive/gui/ship_visualizer')
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

sii_bending(ax)

create figure named sii_bending.

Parameters

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

Returns

axes after being drawn

Return type

matplotlib.figure.axes

sii_stress(ax)

create figure named sii_stress.

Parameters

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

Returns

axes after being drawn

Return type

matplotlib.figure.axes

sii_fatigue(ax)

create figure named sii_fatigue.

Parameters

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

Returns

axes after being drawn

Return type

matplotlib.figure.axes

sii_wave(ax)

create figure named sii_wave.

Parameters

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

Returns

axes after being drawn

Return type

matplotlib.figure.axes

moment(ax)

create figure named moment.

Parameters

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

Returns

axes after being drawn

Return type

matplotlib.figure.axes