optPilot package

optPilot.Annotate module

class optPilot.Annotate.AnnoteFinder(rdata, obj1_idx, obj2_idx, annotes_idx, name_to_column_map, axis=None, xtol=None, ytol=None)

Bases: object

Callback for matplotlib to display an annotation when points are clicked on.

The point which is closest to the click and within xtol and ytol is identified.

@See http://www.scipy.org/Cookbook/Matplotlib/Interactive_Plotting for details.

Register this function like this:

>>> scatter(xdata, ydata)
>>> af = AnnoteFinder(xdata, ydata, annotes)
>>> connect('button_press_event', af)

__init__(rdata, obj1_idx, obj2_idx, annotes_idx, name_to_column_map, axis=None, xtol=None, ytol=None)

Initialize self. See help(type(self)) for accurate signature.

drawAnnote(axis, x, y, annote_idx)

drawSpecificAnnote(annote)

getAnchor(x, y)

listifyData(idx)

optPilot.Annotate.distance(x1, x2, y1, y2)

optPilot.Interpolator module

class optPilot.Interpolator.Interpolator

Bases: object

It is built on scipy.interpolate.Rbf

It has to be used with python3.x

__init__()

Initialize self. See help(type(self)) for accurate signature.

evaluate(coords)

Interpolate to new coordinates coords

Parameters

coords (numpy.ndarray (N,)) – New coordinates where to interpolate

Returns

Interpolated values

Return type

numpy.ndarray (N,)

train(coords, values, function='linear', smooth=0)

Train the interpolator with values at given coordinates coords

Parameters

• coords (numpy.ndarray (N, M,)) – Coordinates of the nodes (each column is an axis)

• values (numpy.ndarray (N,)) – Values of the nodes

Notes

For further information about scipy.interpolate.Rbf see https://docs.scipy.org/doc/scipy-0.19.0/reference/generated/scipy.interpolate.Rbf.html

optPilot.visualize module

class optPilot.visualize.OptData(generation, path, filename_postfix, selected_ids)

Bases: object

__init__(generation, path, filename_postfix, selected_ids)

Initialize self. See help(type(self)) for accurate signature.

getX()

getY()

get_variables()

readData()

readInitialData()

class optPilot.visualize.Plotter

Bases: object

__init__()

Initialize self. See help(type(self)) for accurate signature.

add_reset()

add_slider(pos, name, min, max)

plot(obj)

setupPlot(width=1388.5)

optPilot.visualize.computeLimits(data, selected_ids)

optPilot.visualize.getXY(generation, path, filename_postfix, selected_ids)

optPilot.visualize.improveName(name)

optPilot.visualize.main(argv)

optPilot.visualize.readJSONData(filename)

optPilot.visualize_parallel_coords module

optPilot.visualize_parallel_coords.find(lst, key, value)

optPilot.visualize_parallel_coords.natural_sort(l)

optPilot.visualize_parallel_coords.plot_parcoords(path, filename_postfix, generation, filename)

References

(30. April 2018)

• https://plot.ly/python/static-image-export/

• https://plot.ly/python/parallel-coordinates-plot/

• https://stackoverflow.com/questions/40243446/how-to-save-plotly-offline-graph-in-format-png

optPilot.visualize_parallel_coords.sort_list(names, dimension, key)

optPilot.visualize_pf module

optPilot.visualize_pf.computeLimits(data, selected_ids)

optPilot.visualize_pf.improveName(name)

optPilot.visualize_pf.main(argv)

optPilot.visualize_pf.onpick(event)

optPilot.visualize_pf.plot(data, xlim, ylim, num, prefix, selected_obj, show_single, plotAll)

optPilot.visualize_pf.readDAT_0(filename)

optPilot.visualize_pf.readData(filename)

optPilot.visualize_pf.readJSONData(filename)

optPilot.visualize_pf.saveVideo(img_path, video_name)

optPilot.visualize_pf.setupPlot(width=1388.5)