質問編集履歴
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@@ -107,9 +107,56 @@
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### 試したこと
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元データの’を消してみたり、したのですが効果はなし。
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dateがdatetime型なので
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dateがdatetime型なので、
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-
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以下のコードでint型にしたところ、違うエラーが返ってきました。
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```
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def to_integer(dt_time):
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return 10000*dt_time.year + 100*dt_time.month + dt_time.day
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guests['date'] = guests['date'].apply(to_integer)
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```
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```
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---------------------------------------------------------------------------
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ValueError Traceback (most recent call last)
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<ipython-input-12-d64133e2c242> in <module>
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3
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4 #最尤法によるパラメーターの推定
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----> 5 res_local_level = mod_local_level.fit()
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6
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7 #推定されたパラメーター一覧
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c:\users\lib\site-packages\statsmodels\tsa\statespace\mlemodel.py in fit(self, start_params, transformed, includes_fixed, cov_type, cov_kwds, method, maxiter, full_output, disp, callback, return_params, optim_score, optim_complex_step, optim_hessian, flags, low_memory, **kwargs)
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605 """
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606 if start_params is None:
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--> 607 start_params = self.start_params
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608 transformed = True
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609 includes_fixed = True
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c:\users\lib\site-packages\statsmodels\tsa\statespace\structural.py in start_params(self)
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846 _start_params = {}
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847 if self.level:
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--> 848 resid, trend1 = hpfilter(endog)
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849
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850 if self.stochastic_trend:
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c:\users\lib\site-packages\statsmodels\tsa\filters\hp_filter.py in hpfilter(x, lamb)
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88 """
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89 pw = PandasWrapper(x)
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---> 90 x = array_like(x, 'x', ndim=1)
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91 nobs = len(x)
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92 I = sparse.eye(nobs, nobs) # noqa:E741
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c:\users\lib\site-packages\statsmodels\tools\validation\validation.py in array_like(obj, name, dtype, ndim, maxdim, shape, order, contiguous, optional)
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134 if arr.ndim != ndim:
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135 msg = '{0} is required to have ndim {1} but has ndim {2}'
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--> 136 raise ValueError(msg.format(name, ndim, arr.ndim))
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137 if shape is not None:
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138 for actual, req in zip(arr.shape, shape):
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ValueError: x is required to have ndim 1 but has ndim 2
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```
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###環境
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pandas 1.0.0
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numpy 1.18.1
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