我正在尝试将2000年1月1日到2019年12月31日之间的新西兰（NZ）的6小时平均海平面压力（mslp）值转换为一个，对其执行PCA，然后使用k均值聚类以确定大气环流模式的聚类。我已经成功完成了PCA，但是当我使用以下方法将PCA（numpy.ndarray）转换为熊猫数据帧时：
PCdf = pd.DataFrame(data = PCs,
index = dset['time'],
columns = ["PC%s" % (x) for x in range(1, PCs.shape[1] +1)])
我回来了：
AssertionError: <class 'xarray.core.dataarray.DataArray'>
完整的错误输出如下：
---------------------------------------------------------------------------
AssertionError Traceback (most recent call
last)
<ipython-input-309-c5cf2ed6ff1b> in <module>
1 PCdf = pd.DataFrame(data = PCs,
----> 2 index = dset['time'])
/opt/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py in
__init__(self, data, index, columns, dtype, copy)
438 mgr = init_dict({data.name: data}, index, columns, dtype=dtype)
439 else:
--> 440 mgr = init_ndarray(data, index, columns,
dtype=dtype, copy=copy)
441
442 # For data is list-like, or Iterable (will consume into
list)
/opt/anaconda3/lib/python3.7/site-
packages/pandas/core/internals/construction.py in init_ndarray(values,
index, columns, dtype, copy)
182 raise_with_traceback(e)
183
--> 184 index, columns = _get_axes(*values.shape, index=index,
columns=columns)
185 values = values.T
186
/opt/anaconda3/lib/python3.7/site-
packages/pandas/core/internals/construction.py in _get_axes(N, K, index,
columns)
425 index = ibase.default_index(N)
426 else:
--> 427 index = ensure_index(index)
428
429 if columns is None:
/opt/anaconda3/lib/python3.7/site-packages/pandas/core/indexes/base.py in
ensure_index(index_like, copy)
5742 return index_like
5743 if hasattr(index_like, "name"):
-> 5744 return Index(index_like, name=index_like.name, copy=copy)
5745
5746 if is_iterator(index_like):
/opt/anaconda3/lib/python3.7/site-packages/pandas/core/indexes/base.py in
__new__(cls, data, dtype, copy, name, fastpath, tupleize_cols, **kwargs)
344 else:
345 result = DatetimeIndex(
--> 346 data, copy=copy, name=name, dtype=dtype,
**kwargs
347 )
348 return result
/opt/anaconda3/lib/python3.7/site-
packages/pandas/core/indexes/datetimes.py in __new__(cls, data, freq,
start, end, periods, tz, normalize, closed, ambiguous, dayfirst,
yearfirst, dtype, copy, name, verify_integrity)
332 yearfirst=yearfirst,
333 ambiguous=ambiguous,
--> 334 int_as_wall_time=True,
335 )
336
/opt/anaconda3/lib/python3.7/site-
packages/pandas/core/arrays/datetimes.py in _from_sequence(cls, data,
dtype, copy, tz, freq, dayfirst, yearfirst, ambiguous, int_as_wall_time)
444 yearfirst=yearfirst,
445 ambiguous=ambiguous,
--> 446 int_as_wall_time=int_as_wall_time,
447 )
448
/opt/anaconda3/lib/python3.7/site-
packages/pandas/core/arrays/datetimes.py in sequence_to_dt64ns(data,
dtype, copy, tz, dayfirst, yearfirst, ambiguous, int_as_wall_time)
1916 result = result.copy()
1917
-> 1918 assert isinstance(result, np.ndarray), type(result)
1919 assert result.dtype == "M8[ns]", result.dtype
1920
AssertionError: <class 'xarray.core.dataarray.DataArray'>
我想知道是否有人可以确定我在这里做错了什么。任何帮助将不胜感激。