add_layout_image ( dict ( x = 0, sizex = img_width * scale_factor, y = img_height * scale_factor, sizey = img_height * scale_factor, xref = "x", yref = "y", opacity = 1.0, layer = "below", sizing = "stretch", source = "" ) ) # Configure other layout fig. Firmware image for Dune HD STB is a file in a special format (DFF) that can be installed on the STB using one of. update_yaxes ( visible = False, range =, # the scaleanchor attribute ensures that the aspect ratio stays constant scaleanchor = "x" ) # Add image fig. update_xaxes ( visible = False, range = ) fig. Scatter ( x =, y =, mode = "markers", marker_opacity = 0 ) ) # Configure axes fig. # This trace is added to help the autoresize logic work. Figure () # Constants img_width = 1600 img_height = 900 scale_factor = 0.5 # Add invisible scatter trace. Import aph_objects as go # Create figure fig = go. update_layout ( title_text = "Absorption Frequencies of Benzene and Naphthalene", height = 500, width = 900, template = "plotly_white" ) fig. update_yaxes ( title_text = "Absorption", hoverformat = ".3f" ) # Configure other layout properties fig. update_xaxes ( title_text = "Wavelength" ) fig.
update_layout ( annotations = ) # Configure axes fig. We encourage you to use our e-services, or talk to us via our friendly web-chat (click on the green icon at the bottom of the page). ' TIH is a one stop marketing platform that can be used by Sentosa and our diverse island partners to gain wide exposure at no additional cost. update_layout_images ( dict ( xref = "paper", yref = "paper", sizex = 0.3, sizey = 0.3, xanchor = "right", yanchor = "bottom" )) # Add annotations fig. Dear Visitors and Partners, in view of the current COVID-19 (Coronavirus Disease 2019) situation, STB is stepping up on precautionary measures for your safety and well-being. Scatter ( x = x, y = y, name = n )) # Add images fig.
Stb images zip#
Figure () # Create traces from data names = for ( x, y ), n in zip ( simulated_absorptions, names ): fig. max ( ys, axis = 0 ), 41, 3 ) return hists, s mus =, ] sigmas =, ] intensities =, ] simulated_absorptions = # Create figure fig = go. seed ( 1 ) from scipy.signal import savgol_filter # Simulate spectroscopy data def simulated_absorption ( mu, sigma, intensity ): data =, sigma, intensity ) for i in range ( len ( mu ))] hists = ys = s = savgol_filter ( np. Import aph_objects as go import numpy as np np. update_layout ( autosize = False, height = 800, width = 700, bargap = 0.15, bargroupgap = 0.1, barmode = "stack", hovermode = "x", margin = dict ( r = 20, l = 300, b = 75, t = 125 ), title = ( "Moving Up, Moving Down" + "Percentile change in income between childhood and adulthood" ), ) fig.
Stb images update#
add_layout_image ( dict ( source = "", xref = "paper", yref = "paper", x = 1, y = 1.05, sizex = 0.2, sizey = 0.2, xanchor = "right", yanchor = "bottom" ) ) # update layout properties fig.