Geopandas没有属性hvplot

myss37ts  于 2023-03-06  发布在  其他
关注(0)|答案(1)|浏览(157)

我正在运行这段代码来生成德国地价的区域分布图。我已经安装了pyviz、panel和geoviews包。即使在昨天,这段代码也生成了带有悬停注解的图。但是今天代码生成了一个错误:

AttributeError                            Traceback (most recent call last)
~\AppData\Local\Temp\ipykernel_7148\2718829362.py in <module>
      3 years = pn.widgets.IntSlider(name="Jahre",value=2005,start=1995,end=2021,step=1)
      4 #interact = pn.bind(map_landvalue,zeit=years,pval=value_type)
----> 5 de_map_plot = pn.Column(pn.Column(value_type,years),
      6                     pn.bind(map_landvalue,zeit=years,pval=value_type))
      7 de_map_plot.show()

~\anaconda3\lib\site-packages\panel\layout\base.py in __init__(self, *objects, **params)
    628                                  "as positional arguments or as a keyword, "
    629                                  "not both." % type(self).__name__)
--> 630             params['objects'] = [panel(pane) for pane in objects]
    631         elif 'objects' in params:
    632             params['objects'] = [panel(pane) for pane in params['objects']]

~\anaconda3\lib\site-packages\panel\layout\base.py in <listcomp>(.0)
    628                                  "as positional arguments or as a keyword, "
    629                                  "not both." % type(self).__name__)
--> 630             params['objects'] = [panel(pane) for pane in objects]
    631         elif 'objects' in params:
    632             params['objects'] = [panel(pane) for pane in params['objects']]

~\anaconda3\lib\site-packages\panel\pane\base.py in panel(obj, **kwargs)
     78     if kwargs.get('name', False) is None:
     79         kwargs.pop('name')
---> 80     pane = PaneBase.get_pane_type(obj, **kwargs)(obj, **kwargs)
     81     if len(pane.layout) == 1 and pane._unpack:
     82         return pane.layout[0]

~\anaconda3\lib\site-packages\panel\param.py in __init__(self, object, **params)
    743         if object is not None:
    744             self._validate_object()
--> 745             self._replace_pane(not self.lazy)
    746 
    747     @param.depends('object', watch=True)

~\anaconda3\lib\site-packages\panel\param.py in _replace_pane(self, force, *args)
    792                     new_object = Spacer()
    793                 else:
--> 794                     new_object = self.eval(self.object)
    795                 if inspect.isawaitable(new_object):
    796                     param.parameterized.async_executor(partial(self._eval_async, new_object))

~\anaconda3\lib\site-packages\panel\param.py in eval(self, function)
    775                 args = (getattr(dep.owner, dep.name) for dep in arg_deps)
    776                 kwargs = {n: getattr(dep.owner, dep.name) for n, dep in kw_deps.items()}
--> 777         return function(*args, **kwargs)
    778 
    779     async def _eval_async(self, awaitable):

~\anaconda3\lib\site-packages\param\parameterized.py in _depends(*args, **kw)
    385     @wraps(func)
    386     def _depends(*args, **kw):
--> 387         return func(*args, **kw)
    388 
    389     deps = list(dependencies)+list(kw.values())

~\anaconda3\lib\site-packages\panel\depends.py in wrapped(*wargs, **wkwargs)
    207         def wrapped(*wargs, **wkwargs):
    208             combined_args, combined_kwargs = combine_arguments(wargs, wkwargs)
--> 209             return function(*combined_args, **combined_kwargs)
    210     wrapped.__bound_function__ = function
    211     return wrapped

~\AppData\Local\Temp\ipykernel_7148\3612203928.py in map_landvalue(zeit, pval)
      7     test=df_kreise[df_kreise['Zeit']==zeit][['Kreise_Code',pval]]
      8     test=pd.merge(kreise_map,test,on='Kreise_Code',how='outer')
----> 9     fig=test.dropna().hvplot(frame_height=550,frame_width=450,
     10                      hover_cols=['Kreise','Kreise_Code','pval_baureifsLand','pval_insgesamt'],
     11                      legend=False,c=pval,title=title_str,cmap='OrRd')

~\anaconda3\lib\site-packages\pandas\core\generic.py in __getattr__(self, name)
   5573         ):
   5574             return self[name]
-> 5575         return object.__getattribute__(self, name)
   5576 
   5577     def __setattr__(self, name: str, value) -> None:

AttributeError: 'GeoDataFrame' object has no attribute 'hvplot'

代码:

import pandas as pd
import geopandas as gpd
import panel as pn

df_kreise=pd.read_csv('LandpriceFF_df.csv')
kreise_map=gpd.read_file('vg2500_geo84//vg2500_krs.dbf') #not in df_kreise [15001, 3152, 3156]
kreise_map['RS']=kreise_map['RS'].astype(int)
kreise_map=kreise_map.rename(columns={'RS':'Kreise_Code','GEN':'Kreise'})
de_map=gpd.read_file('vg2500_geo84//vg2500_sta.shp')

def map_landvalue(zeit,
                  pval):
    title_str=' Germany '+pval+' Year '+str(zeit)
    if pval == 'Baureifsland Purchase Value': pval='pval_baureifsLand'
    elif pval=='Insgesamt Purchase Value': pval='pval_insgesamt'
    test=df_kreise[df_kreise['Zeit']==zeit][['Kreise_Code',pval]]
    test=pd.merge(kreise_map,test,on='Kreise_Code',how='outer')
    fig=test.dropna().hvplot(frame_height=550,frame_width=450,
                     hover_cols=['Kreise','Kreise_Code','pval_baureifsLand','pval_insgesamt'],
                     legend=False,c=pval,title=title_str,cmap='OrRd')
    return fig

pn.extension()
value_type=pn.widgets.Select(options=['Baureifsland Purchase Value','Insgesamt Purchase Value'])
years = pn.widgets.IntSlider(name="Jahre",value=2005,start=1995,end=2021,step=1)
de_map_plot = pn.Column(pn.Column(value_type,years),
                                pn.bind(map_landvalue,zeit=years,pval=value_type))
de_map_plot.show()

我使用的数据集如下:https://raw.githubusercontent.com/VolkaneicFox/IWH-Research/main/LandpriceFF_df.csv
https://raw.githubusercontent.com/VolkaneicFox/IWH-Research/main/vg2500_krs.shp

cu6pst1q

cu6pst1q1#

为了使用带有df.hviews方法的holoviews panda扩展,您必须在创建 Dataframe * 之前 * 使用import hvplot.pandas,即使您永远不会直接使用hvplot.pandas模块。
hvplot.pandas是一个关键的导入,因为它加载一个holoviews panda扩展,并在panda库中注册holoviews,这样使用panda创建的 Dataframe 就可以访问DataFrame.hviews属性。如果没有这个导入,您的常规panda Dataframe 将不会加载扩展,尝试使用扩展将只会引发AttributeError
注意geopandas.GeoDataFramepandas.DataFrame的子类,上述内容也直接适用于geopandas。与Pandas一样,当从磁盘阅读GeoDataFrame时,必须在调用读取之前加载扩展名(在创建geopandas对象之前,但不一定在写入文件之前)。
更多信息请参见hvplot extension user guide

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