0

敬启者，

我在从学校的练习中重新创建特定的旭日形图时遇到问题。

我正在使用这个数据集来绘制旭日形图

我正在寻找重新创建这个特殊的旭日情节

希望有人能够提供帮助。非常感谢。

我的代码

fig_1 = px.sunburst(top_neighbourhood_df, path=[top_neighbourhood_df.index, "neighbourhood"], values="shelter_costs_rented",
                  color="shelter_costs_rented", hover_data=["shelter_costs_rented"],
                  color_continuous_scale='InFerno',
                  color_continuous_midpoint=np.average(top_neighbourhood_df["shelter_costs_rented"], weights=top_neighbourhood_df["shelter_costs_rented"]),
                  title = "Costs Analysis of Most Expensive Neighbourhood in Toronto per Year - Shelter_costs_rented")
fig_1.show()

输出错误

AttributeError: type object 'object' has no attribute 'dtype'
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-35-e364e04b8104> in <module>
      3                   color_continuous_scale='InFerno',
      4                   color_continuous_midpoint=np.average(top_neighbourhood_df["shelter_costs_rented"], weights=top_neighbourhood_df["shelter_costs_rented"]),
----> 5                   title = "Costs Analysis of Most Expensive Neighbourhood in Toronto per Year - Shelter_costs_rented")
      6 fig_2.show()

D:\ProgramData\Anaconda3\envs\pyvizenv\lib\site-packages\plotly\express\_chart_types.py 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)
   1416         constructor=go.Sunburst,
   1417         trace_patch=dict(branchvalues=branchvalues, maxdepth=maxdepth),
-> 1418         layout_patch=layout_patch,
   1419     )
   1420 

D:\ProgramData\Anaconda3\envs\pyvizenv\lib\site-packages\plotly\express\_core.py in make_figure(args, constructor, trace_patch, layout_patch)
   1861     args = build_dataframe(args, constructor)
   1862     if constructor in [go.Treemap, go.Sunburst] and args["path"] is not None:
-> 1863         args = process_dataframe_hierarchy(args)
   1864     if constructor == "timeline":
   1865         constructor = go.Bar

D:\ProgramData\Anaconda3\envs\pyvizenv\lib\site-packages\plotly\express\_core.py in process_dataframe_hierarchy(args)
   1568     cols = list(set(cols) - set(["labels", "parent", "id"]))
   1569     # ----------------------------------------------------------------------------
-> 1570     df_all_trees = pd.DataFrame(columns=["labels", "parent", "id"] + cols)
   1571     #  Set column type here (useful for continuous vs discrete colorscale)
   1572     for col in cols:

D:\ProgramData\Anaconda3\envs\pyvizenv\lib\site-packages\pandas\core\frame.py in __init__(self, data, index, columns, dtype, copy)
    390                                  dtype=dtype, copy=copy)
    391         elif isinstance(data, dict):
--> 392             mgr = init_dict(data, index, columns, dtype=dtype)
    393         elif isinstance(data, ma.MaskedArray):
    394             import numpy.ma.mrecords as mrecords

D:\ProgramData\Anaconda3\envs\pyvizenv\lib\site-packages\pandas\core\internals\construction.py in init_dict(data, index, columns, dtype)
    194                 nan_dtype = dtype
    195             val = construct_1d_arraylike_from_scalar(np.nan, len(index),
--> 196                                                      nan_dtype)
    197             arrays.loc[missing] = [val] * missing.sum()
    198 

D:\ProgramData\Anaconda3\envs\pyvizenv\lib\site-packages\pandas\core\dtypes\cast.py in construct_1d_arraylike_from_scalar(value, length, dtype)
   1173     else:
   1174         if not isinstance(dtype, (np.dtype, type(np.dtype))):
-> 1175             dtype = dtype.dtype
   1176 
   1177         if length and is_integer_dtype(dtype) and isna(value):

AttributeError: type object 'object' has no attribute 'dtype'
4

0 回答 0