values end_date = dt ( 2010, 1, 4 ) end_float = end_date. line ( df, df, line_width = 2, color = 'red' ) start_date = dt ( 2008, 11, 24 ) start_float = start_date. axis_label = 'Value' show ( p )įrom datetime import datetime as dt import pandas as pd from bokeh.models import PolyAnnotation from otting import figure, output_file, show from import GOOG output_file ( 'polyannotation.html', title = 'polannotation example' ) p = figure ( width = 800, height = 250, x_axis_type = 'datetime', title = 'Google stock', ) df = pd. to_series (), data, line_color = 'gray', line_width = 1, legend_label = 'glucose' ) low_box = BoxAnnotation ( top = 80, fill_alpha = 0.2, fill_color = '#D55E00' ) mid_box = BoxAnnotation ( bottom = 80, top = 180, fill_alpha = 0.2, fill_color = '#0072B2' ) high_box = BoxAnnotation ( bottom = 180, fill_alpha = 0.2, fill_color = '#D55E00' ) p. loc p = figure ( x_axis_type = 'datetime', tools = TOOLS ) p. axis_label = 'Y' show ( p )įrom bokeh.models import BoxAnnotation from otting import figure, output_file, show from import data output_file ( 'box_annotation.html', title = 'box_annotation.py example' ) TOOLS = 'pan,wheel_zoom,box_zoom,reset,save' #reduce data size data = data. scatter ( x = 'x', y = 'y', line_color = None, fill_alpha = 0.3, size = 5, source = source ) band = Band ( base = 'x', lower = 'lower', upper = 'upper', source = source, level = 'underlay', fill_alpha = 1.0, line_width = 1, line_color = 'black' ) p. reset_index ()) TOOLS = 'pan,wheel_zoom,box_zoom,reset,save' p = figure ( tools = TOOLS ) p. sort_values ( by = 'x' ) sem = lambda x : x. DataFrame ( data = dict ( x = x, y = y )). Import numpy as np import pandas as pd from bokeh.models import Band, ColumnDataSource from otting import figure, output_file, show output_file ( 'band.html', title = 'band.py example' ) # Create some random data x = np.

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