unique ())) p = figure ( height = 400, x_range = classes, background_fill_color = "#efefef", title = "Car class vs HWY mpg with quintile ranges" ) p. grid_line_color = None show ( p )įrom bokeh.models import ColumnDataSource, Whisker from otting import figure, show from 2 import autompg2 as df from ansform import factor_cmap, jitter classes = list ( sorted ( df. line ( "Date", "Sunrise", source = daylight_warsaw_2013, color = 'orange', legend_label = "Sunrise" ) dst_start = Span ( location = dt ( 2013, 3, 31, 2, 0, 0 ), dimension = 'height', line_color = '#009E73', line_width = 5 ) p. line ( "Date", "Sunset", source = daylight_warsaw_2013, color = 'navy', legend_label = "Sunset" ) p. add_layout ( band ) show ( p )įrom datetime import datetime as dt from bokeh.models import Span from otting import figure, show from import daylight_warsaw_2013 p = figure ( height = 350, x_axis_type = "datetime", y_axis_type = "datetime", title = "2013 Sunrise and Sunset in Warsaw with DST dates marked", y_axis_label = "Time of Day", background_fill_color = "#fafafa" ,) p. line ( "x", "y_mean", line_dash = ( 10, 7 ), line_width = 2, source = source ) band = Band ( base = "x", lower = "lower", upper = "upper", source = source, fill_alpha = 0.3, fill_color = "gray", line_color = "black" ) p. scatter ( x = "x", y = "y", marker = "dot", size = 10, alpha = 0.4, source = source ) p. reset_index ()) p = figure ( tools = "", toolbar_location = None, x_range = ( 40, 160 )) p. DataFrame ( data = dict ( x = x, y = y )). This file has been truncated.Import numpy as np import pandas as pd from bokeh.models import Band, ColumnDataSource from otting import figure, show # Create some random data x = np. NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING OR PROFITS OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES LOSS OF USE, DATA, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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* Redistributions of source code must retain the above copyright modification, are permitted provided that the following conditions are met: Redistribution and use in source and binary forms, with or without djelouze/SplineDrivenImageSlicer/blob/master/Filters/vtkFrenetSerretFrame.h // Copyright (c) 2010, Jérôme Velut Regarding the Frenet-Serret frame code, is there a Python-wrapped version accessible? Alternatively, how would I do so? I believe I can create a Python class inherited from vtk.vtkPolyDataAlgorithm and translate the C++ version, though it would be great if there was a way to avoid doing so.
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