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import plotly.express as px | |
df = px.data.tips() | |
color_map = dict(Sun="#881122", Sat="#991188", Fri="#221122", Thur="#887722") | |
fig = px.sunburst(df, path=['day', 'time', 'sex'], color="day", values='total_bill', | |
color_discrete_map=color_map) | |
fig.show() | |
## No Express (without order) | |
def build_hierarchical_dataframe(df, levels, value_column, color_column, color_map): | |
levels_rev = levels[::-1] | |
df_all_trees = pd.DataFrame(columns=['id', "label", 'parent', 'value', 'color']) | |
for i, level in enumerate(levels_rev): | |
df_tree = pd.DataFrame(columns=['id', "label", 'parent', 'value', 'color']) | |
dfg = df.groupby(levels_rev[i:]).sum() | |
dfg = dfg.reset_index() | |
df_tree['id'] = dfg[levels_rev[i:][::-1]].T.apply(lambda x: "/".join(x)) | |
df_tree["label"] = dfg[level].copy() | |
if i < len(levels_rev) - 1: | |
df_tree['parent'] = dfg[levels_rev[i+1:][::-1]].T.apply(lambda x: "/".join(x)) | |
else: | |
df_tree['parent'] = '' | |
df_tree['value'] = dfg[value_column] | |
df_tree['color'] = dfg[levels_rev[-1]].map(color_map) | |
df_all_trees = df_all_trees.append(df_tree, ignore_index=True) | |
total = pd.Series(dict(id='', parent='', | |
value=df[value_column].sum(), | |
color="" | |
)) | |
df_all_trees = df_all_trees.append(total, ignore_index=True) | |
return df_all_trees | |
df = px.data.tips() | |
color_map = dict(Sun="#881122", Sat="#991188", Fri="#221122", Thur="#887722") | |
levels = ['day', 'time', 'sex'] | |
color_column = 'day' | |
value_column = 'total_bill' | |
df_all_trees = build_hierarchical_dataframe(df, levels, value_column, color_columns, color_map) | |
fig = go.Figure( | |
go.Sunburst( | |
ids=df_all_trees["id"], | |
labels=df_all_trees["label"], | |
parents=df_all_trees["parent"], | |
values=df_all_trees["value"], | |
branchvalues="total", | |
marker=dict(colors=df_all_trees["color"]), | |
sort=False | |
) | |
) | |
fig.show() |
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First with express:
Second without express and no order: