Last active
January 27, 2022 22:57
-
-
Save silgon/3cd75093bf372d42ea9f8183d60fbf7b to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| 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() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
First with express:
Second without express and no order: