![]() update ( layout_title_text = 'Van Gogh: 5 Most Prominent Colors Shown Proportionally', layout_showlegend = False ) fig = go. See screenshot: Now the pie chart for the YES/NO answers is created. In the Change Chart Type dialog, please click Pie in the left bar, click to highlight the Pie chart in the right section, and click the OK button. update_traces ( hoverinfo = 'label+percent+name', textinfo = 'none' ) fig. Right click the series in the pivot chart, and select Change Series Chart Type from the context menu. Pie ( labels = labels, values =, name = 'The Night Café', marker_colors = cafe_colors ), 2, 2 ) # Tune layout and hover info fig. Pie ( labels = labels, values =, name = 'Irises', marker_colors = irises_colors ), 2, 1 ) fig. Pie ( labels = labels, values =, name = 'Sunflowers', marker_colors = sunflowers_colors ), 1, 2 ) fig. Then again, keep in mind that a pie chart with more than three slices is not good data visualisation, anyway. You may want to create a copy of the source data, sort it, then build the chart off that. ![]() ![]() Pie ( labels = labels, values =, name = 'Starry Night', marker_colors = night_colors ), 1, 1 ) fig. The slice order depends on the order of the data. Import aph_objects as go from plotly.subplots import make_subplots labels = # Create subplots: use 'domain' type for Pie subplot fig = make_subplots ( rows = 1, cols = 2, specs = ] fig = make_subplots ( rows = 2, cols = 2, specs = specs ) # Define pie charts fig. ![]()
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