熊猫分析-TypeError：无法将索引转换为dtype <type'str'=“”>

Question

我正在使用Pandas Profiling为 Pandas DataFrame对象创建 HTML分析报告 data

但是，每当我尝试通过以下方式显示报告时：

%time profiling = pandas_profiling.ProfileReport(data)
profiling

我收到此错误：

TypeErrorTraceback (most recent call last)
<ipython-input-46-afbac23ca8ca> in <module>()
----> 1 get_ipython().magic(u'time profiling = pandas_profiling.ProfileReport(data)')
      2 profiling

/home/cloud_user/anaconda3/envs/fasttext/lib/python2.7/site-packages/IPython/core/interactiveshell.pyc in magic(self, arg_s)
   2158         magic_name, _, magic_arg_s = arg_s.partition(' ')
   2159         magic_name = magic_name.lstrip(prefilter.ESC_MAGIC)
-> 2160         return self.run_line_magic(magic_name, magic_arg_s)
   2161 
   2162     #-------------------------------------------------------------------------

/home/cloud_user/anaconda3/envs/fasttext/lib/python2.7/site-packages/IPython/core/interactiveshell.pyc in run_line_magic(self, magic_name, line)
   2079                 kwargs['local_ns'] = sys._getframe(stack_depth).f_locals
   2080             with self.builtin_trap:
-> 2081                 result = fn(*args,**kwargs)
   2082             return result
   2083 

<decorator-gen-60> in time(self, line, cell, local_ns)

/home/cloud_user/anaconda3/envs/fasttext/lib/python2.7/site-packages/IPython/core/magic.pyc in <lambda>(f, *a, **k)
    186     # but it's overkill for just that one bit of state.
    187     def magic_deco(arg):
--> 188         call = lambda f, *a, **k: f(*a, **k)
    189 
    190         if callable(arg):

/home/cloud_user/anaconda3/envs/fasttext/lib/python2.7/site-packages/IPython/core/magics/execution.pyc in time(self, line, cell, local_ns)
   1191         else:
   1192             st = clock2()
-> 1193             exec(code, glob, local_ns)
   1194             end = clock2()
   1195             out = None

<timed exec> in <module>()

/home/cloud_user/anaconda3/envs/fasttext/lib/python2.7/site-packages/pandas_profiling/__init__.pyc in __init__(self, df, **kwargs)
     67 
     68         self.html = to_html(sample,
---> 69                             description_set)
     70 
     71         self.description_set = description_set

/home/cloud_user/anaconda3/envs/fasttext/lib/python2.7/site-packages/pandas_profiling/report.pyc in to_html(sample, stats_object)
    171             formatted_values['freqtable'] = freq_table(stats_object['freq'][idx], n_obs,
    172                                                        templates.template('freq_table'), templates.template('freq_table_row'), 10)
--> 173             formatted_values['firstn_expanded'] = extreme_obs_table(stats_object['freq'][idx], templates.template('freq_table'), templates.template('freq_table_row'), 5, n_obs, ascending = True)
    174             formatted_values['lastn_expanded'] = extreme_obs_table(stats_object['freq'][idx], templates.template('freq_table'), templates.template('freq_table_row'), 5, n_obs, ascending = False)
    175 

/home/cloud_user/anaconda3/envs/fasttext/lib/python2.7/site-packages/pandas_profiling/report.pyc in extreme_obs_table(freqtable, table_template, row_template, number_to_print, n, ascending)
    110         # If it's mixed between base types (str, int) convert to str. Pure "mixed" types are filtered during type discovery
    111         if "mixed" in freqtable.index.inferred_type:
--> 112             freqtable.index = freqtable.index.astype(str)
    113 
    114         sorted_freqTable = freqtable.sort_index()

/home/cloud_user/anaconda3/envs/fasttext/lib/python2.7/site-packages/pandas/core/indexes/base.pyc in astype(self, dtype, copy)
   1294         except (TypeError, ValueError):
   1295             msg = 'Cannot cast {name} to dtype {dtype}'
-> 1296             raise TypeError(msg.format(name=type(self).__name__, dtype=dtype))
   1297 
   1298     def _to_safe_for_reshape(self):

TypeError: Cannot cast Index to dtype <type 'str'>

我的数据框对象data如下：

并且具有形状和类型：

print("Data type: {}\nData shape: {}".format(type(data), data.shape))

Data type: <class 'pandas.core.frame.DataFrame'>
Data shape: (243697, 23)

并且具有数据类型：

data.dtypes

我该如何解决？