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Question

我需要遍历存储在pandas面板中的数据帧（我知道Panel已过时，我应该使用xarray，但是一旦我知道如何使用xarray，我将稍后进行转换）。当我遍历数据帧列表时，下面的代码有效，但是我需要以这种方式为数据帧分配名称，以方便以后的操作（我将每个数据帧按小数值分割，对每个小数执行操作，然后添加分数又一起返回）。

当我通过面板时-demand_scen_dataset：

demand_scen_dataset = pd.Panel({'low': low_demand_df, 'medium_low': med_low_demand_df, 'medium': bc_demand_df, 'medium_high': med_high_demand_df, 'high': high_demand_df})

我收到以下错误

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TypeError                                 Traceback (most recent call last)
~\Anaconda3\lib\site-packages\pandas\core\tools\datetimes.py in _convert_listlike(arg, box, format, name, tz)
    376             try:
--> 377                 values, tz = conversion.datetime_to_datetime64(arg)
    378                 return DatetimeIndex._simple_new(values, name=name, tz=tz)

pandas\_libs\tslibs\conversion.pyx in pandas._libs.tslibs.conversion.datetime_to_datetime64()

TypeError: Unrecognized value type: <class 'builtin_function_or_method'>

During handling of the above exception, another exception occurred:

ValueError                                Traceback (most recent call last)
<ipython-input-59-23a09e988e1d> in <module>()
     16 demand_dfs_datetime = []
     17 for df in demand_scen_dataset:
---> 18     df.index = pd.to_datetime(df.index, format='%Y')
     19     df = df.tshift(-92, 'D')
     20     df = df.resample('D').ffill()

~\Anaconda3\lib\site-packages\pandas\core\tools\datetimes.py in to_datetime(arg, errors, dayfirst, yearfirst, utc, box, format, exact, unit, infer_datetime_format, origin, cache)
    467             result = _convert_listlike(arg, box, format)
    468     else:
--> 469         result = _convert_listlike(np.array([arg]), box, format)[0]
    470 
    471     return result

~\Anaconda3\lib\site-packages\pandas\core\tools\datetimes.py in _convert_listlike(arg, box, format, name, tz)
    378                 return DatetimeIndex._simple_new(values, name=name, tz=tz)
    379             except (ValueError, TypeError):
--> 380                 raise e
    381 
    382     if arg is None:

~\Anaconda3\lib\site-packages\pandas\core\tools\datetimes.py in _convert_listlike(arg, box, format, name, tz)
    345                     try:
    346                         result = array_strptime(arg, format, exact=exact,
--> 347                                                 errors=errors)
    348                     except tslib.OutOfBoundsDatetime:
    349                         if errors == 'raise':

pandas\_libs\tslibs\strptime.pyx in pandas._libs.tslibs.strptime.array_strptime()

ValueError: time data <built-in method index of str object at 0x00000244B1D5CCA8> does not match format '%Y' (match)

CODE

demand_dfs_list = [low_demand_df, med_low_demand_df, bc_demand_df, med_high_demand_df, high_demand_df]
dates = pd.date_range(start='2020-10-01', end='2070-09-30', freq='D')

demand_dfs_datetime = []
for df in demand_dfs_list:
    df.index = pd.to_datetime(df.index, format='%Y')
    df = df.tshift(-92, 'D')
    df = df.resample('D').ffill()
    df = df.reindex(dates)
    demand_dfs_datetime.append(df)

如何遍历数据面板的熊猫面板？

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0 个答案: