1/4/2024 0 Comments Python bokeh requirements![]() ![]() ![]() Requirement already satisfied: python-dateutil> 2.1 in /usr/local/lib. on_change ( 'value', update_data ) # Set up layouts and add to document inputs = column ( text, offset, amplitude, phase, freq ) bokeh_app = pn. For the working of the module you need to have python package bokeh installed, as. data = dict ( x = x, y = y ) for w in : w. on_change ( 'value', update_title ) def update_data ( attrname, old, new ): # Get the current slider values a = amplitude. pi ) freq = Slider ( title = "frequency", value = 1.0, start = 0.1, end = 5.1, step = 0.1 ) # Set up callbacks def update_title ( attrname, old, new ): plot. line ( 'x', 'y', source = source, line_width = 3, line_alpha = 0.6 ) # Set up widgets text = TextInput ( title = "title", value = 'my sine wave' ) offset = Slider ( title = "offset", value = 0.0, start =- 5.0, end = 5.0, step = 0.1 ) amplitude = Slider ( title = "amplitude", value = 1.0, start =- 5.0, end = 5.0, step = 0.1 ) phase = Slider ( title = "phase", value = 0.0, start = 0.0, end = 2 * np. sin ( x ) source = ColumnDataSource ( data = dict ( x = x, y = y )) # Set up plot plot = figure ( height = 400, width = 400, title = "my sine wave", tools = "crosshair,pan,reset,save,wheel_zoom", x_range =, y_range = ) plot. ![]() Bokeh ( p, theme = "dark_minimal" ) bokeh_paneįrom bokeh.layouts import column, row from bokeh.models import ColumnDataSource, Slider, TextInput # Set up data N = 200 x = np. wedge ( x = 0, y = 1, radius = 0.4, start_angle = cumsum ( 'angle', include_zero = True ), end_angle = cumsum ( 'angle' ), line_color = "white", fill_color = 'color', legend_field = 'country', source = data ) p. sum () * 2 * pi data = Category20c p = figure ( height = 350, title = "Pie Chart", toolbar_location = None, tools = "hover", tooltips =, x_range = ( - 0.5, 1.0 )) r = p. Get Started migrating from Streamlit to Panelįrom math import pi from bokeh.palettes import Category20c, Category20 from otting import figure from ansform import cumsum x = ) data = data / data.Defer Long Running Tasks to Improve the User Experience.Publish Shiny, Dash, Streamlit, Quarto, R Markdown, Jupyter Notebooks, Flask, FastAPI, Plumber, Bokeh. Defer Bound Functions to Improve the User Experience Connect supports the most popular Python & R frameworks.Generate UIs from declared parameters (Declarative API).Explicitly link parameters (Callbacks API). ![]()
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