Python 拟合模型时出现错误

我有一个数据框，其中有两列，即特定数字的datetime和quantity，当我试图使用fbprophet拟合模型时，我得到以下错误

ValueError                                Traceback (most recent call last)
 <ipython-input-72-812eb09bb3a8> in <module>
 10     print(new_df)
 11     m = Prophet(weekly_seasonality=True,daily_seasonality=True)
---> 12     m.fit(new_df)
 13     future = m.make_future_dataframe(periods=13,freq='M')
 14     forecast = m.predict(future)
~\Anaconda3\lib\site-packages\fbprophet\forecaster.py in fit(self, df, **kwargs)
 1109         self.history_dates = 
pd.to_datetime(pd.Series(df['ds'].unique(), name='ds')).sort_values()
1110 
-> 1111         history = self.setup_dataframe(history, initialize_scales=True)
1112         self.history = history
 1113         self.set_auto_seasonalities()
~\Anaconda3\lib\site-packages\fbprophet\forecaster.py in setup_dataframe(self, df, initialize_scales)
320         df['t'] = (df['ds'] - self.start) / self.t_scale
321         if 'y' in df:
--> 322             df['y_scaled'] = (df['y'] - df['floor']) / self.y_scale
323 
324         for name, props in self.extra_regressors.items():
~\Anaconda3\lib\site-packages\pandas\core\ops\common.py in new_method(self, other)
62 
63         other = item_from_zerodim(other)
---> 64 
 65         return method(self, other)
 66 
 ~\Anaconda3\lib\site-packages\pandas\core\ops\__init__.py in wrapper(left, right)
 ~\Anaconda3\lib\site-packages\pandas\core\ops\array_ops.py in arithmetic_op(left, right, op, str_rep)
195     """
196     Evaluate a comparison operation `=`, `!=`, `>=`, `>`, `<=`, or `<`.
--> 197 
198     Parameters
199     ----------
~\Anaconda3\lib\site-packages\pandas\core\ops\array_ops.py in na_arithmetic_op(left, right, op, str_rep)
147             #  will handle complex numbers incorrectly, see GH#32047
148             raise
--> 149         result = _masked_arith_op(left, right, op)
150 
151     if is_cmp and (is_scalar(result) or result is NotImplemented):
~\Anaconda3\lib\site-packages\pandas\core\computation\expressions.py in evaluate(op, a, b, use_numexpr)
230     op_str = _op_str_mapping[op]
231     if op_str is not None:
--> 232         use_numexpr = use_numexpr and _bool_arith_check(op_str, a, b)
233         if use_numexpr:
234             # error: "None" not callable
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

请输入完整的错误回溯

from fbprophet import Prophet
m = Prophet(weekly_seasonality=True,daily_seasonality=True)
m.fit(df) # this line is showing error