With the use of two or more standard doughnut charts and synchronizing them with clever Excel values and formulas, you can do a lot.Įxcel can't create a multi level pie chart where everything is "automatically" taken care of for you, but you have to find a way around to make the solution workable.įor instance, if you have several parts of something, you can demonstrate each item in one pie chart. So I then started to play with the different available options within Excel and the next best thing came along: doughnut charts. Initially, I thought it could only be possible with shapes and smartart, but that is simply not doable, especially when your values change.
update ( layout_title_text = 'Van Gogh: 5 Most Prominent Colors Shown Proportionally', layout_showlegend = False ) fig = go. update_traces ( hoverinfo = 'label+percent+name', textinfo = 'none' ) fig. 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. Pie ( labels = labels, values =, name = 'Starry Night', marker_colors = night_colors ), 1, 1 ) fig. 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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