File ~/.conda/envs/tf/lib/python3.9/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)
...
640 elif isinstance(data.dtype, PeriodDtype):
641 return PeriodProperties(data, orig)
--> 643 raise AttributeError("Can only use .dt accessor with datetimelike values")
AttributeError: Can only use .dt accessor with datetimelike values
error occurs when using Get_RI_History function however other function works properly
fpy.Get_RI_History( stock='خودرو', start_date='1400-01-01', end_date='1401-01-01', ignore_date=False, show_weekday=False, double_date=False, alt=False)
AttributeError Traceback (most recent call last) Cell In[5], line 1 ----> 1 fpy.Get_RI_History( 2 stock='داوه', 3 start_date='1400-01-01', 4 end_date='1401-01-01', 5 ignore_date=False, 6 show_weekday=False, 7 double_date=False, 8 alt=False)
File ~/.conda/envs/tf/lib/python3.9/site-packages/finpy_tse/init.py:659, in Get_RI_History(stock, start_date, end_date, ignore_date, show_weekday, double_date, alt) 657 df_RI_tab = df_RI_tab.reset_index() 658 # determining week days: --> 659 df_RI_tab['Weekday']=df_RI_tab['Date'].dt.weekday 660 df_RI_tab['Weekday'] = df_RI_tab['Weekday'].apply(lambda x: calendar.day_name[x]) 661 df_RI_tab['J-Date']=df_RI_tab['Date'].apply(lambda x: str(jdatetime.date.fromgregorian(date=x.date())))
File ~/.conda/envs/tf/lib/python3.9/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) ... 640 elif isinstance(data.dtype, PeriodDtype): 641 return PeriodProperties(data, orig) --> 643 raise AttributeError("Can only use .dt accessor with datetimelike values")
AttributeError: Can only use .dt accessor with datetimelike values