# 旭日图
# 通过清晰展示层次数据，超越了传统的饼图和环图。它使用同心圆，每个圆代表层次中的一级。中心是根，扇形表示节点。
# 每个扇形的大小反映了它的值，直观地理解数据的重要性。在可视化文件系统层次结构、用户导航路径、市场细分和遗传数据方面非常有用。
# 以下是一个使用 Plotly 库创建旭日图的示例。

import plotly.express as px
import numpy as np
import pandas as pd

# 加载 2007 年的 gapminder 数据
df = px.data.gapminder().query("year == 2007")

# 创建旭日图
fig = px.sunburst(df, 
                  path=['continent', 'country'], 
                  values='pop',
                  color='lifeExp', 
                  hover_data=['iso_alpha'],
                  color_continuous_scale='RdBu',
                  color_continuous_midpoint=np.average(df['lifeExp'], weights=df['pop']))

# 显示图形
fig.show()

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[6], line 9
      6 df = px.data.gapminder().query("year == 2007")
      8 # 创建旭日图
----> 9 fig = px.sunburst(df, 
     10                   path=['continent', 'country'], 
     11                   values='pop',
     12                   color='lifeExp', 
     13                   hover_data=['iso_alpha'],
     14                   color_continuous_scale='RdBu',
     15                   color_continuous_midpoint=np.average(df['lifeExp'], weights=df['pop']))
     17 # 显示图形
     18 fig.show()

File D:\Python310\lib\site-packages\plotly\express\_chart_types.py:1517, in sunburst(data_frame, names, values, parents, path, ids, color, color_continuous_scale, range_color, color_continuous_midpoint, color_discrete_sequence, color_discrete_map, hover_name, hover_data, custom_data, labels, title, template, width, height, branchvalues, maxdepth)
   1515 if path is not None and branchvalues is None:
   1516     branchvalues = "total"
-> 1517 return make_figure(
   1518     args=locals(),
   1519     constructor=go.Sunburst,
   1520     trace_patch=dict(branchvalues=branchvalues, maxdepth=maxdepth),
   1521     layout_patch=layout_patch,
   1522 )

File D:\Python310\lib\site-packages\plotly\express\_core.py:1935, in make_figure(args, constructor, trace_patch, layout_patch)
   1933 args = build_dataframe(args, constructor)
   1934 if constructor in [go.Treemap, go.Sunburst, go.Icicle] and args["path"] is not None:
-> 1935     args = process_dataframe_hierarchy(args)
   1936 if constructor == "timeline":
   1937     constructor = go.Bar

File D:\Python310\lib\site-packages\plotly\express\_core.py:1637, in process_dataframe_hierarchy(args)
   1635     if cols:
   1636         df_tree[cols] = dfg[cols]
-> 1637     df_all_trees = df_all_trees.append(df_tree, ignore_index=True)
   1639 # we want to make sure than (?) is the first color of the sequence
   1640 if args["color"] and discrete_color:

File D:\Python310\lib\site-packages\pandas\core\generic.py:6299, in NDFrame.__getattr__(self, name)
   6292 if (
   6293     name not in self._internal_names_set
   6294     and name not in self._metadata
   6295     and name not in self._accessors
   6296     and self._info_axis._can_hold_identifiers_and_holds_name(name)
   6297 ):
   6298     return self[name]
-> 6299 return object.__getattribute__(self, name)

AttributeError: 'DataFrame' object has no attribute 'append'

📘 5种高级可视化图表/旭日图（Sunburst Chart）.ipynb