Pandas AttributeError: 'DataFrame' 对象没有属性 'Timestamp'

如何解决Pandas AttributeError: 'DataFrame' 对象没有属性 'Timestamp'

所以我想用我的脚本获得每月的总和，但我总是得到一个 AttributeError，我不明白。 Timestamp 列确实存在于我的 combine_csv 中。
我确信这一行是导致问题的原因，因为我之前测试了我的其他代码。
AttributeError: 'DataFrame' 对象没有属性 'Timestamp'
我会很感激我能得到的每一种帮助 - 谢谢

import os
import glob
import pandas as pd

# set working directory
os.chdir("Path to CSVs")

# find all csv files in the folder
# use glob pattern matching -> extension = 'csv'
# save result in list -> all_filenames
extension = 'csv'
all_filenames = [i for i in glob.glob('*.{}'.format(extension))]
# print(all_filenames)

# combine all files in the list
combined_csv = pd.concat([pd.read_csv(f,sep=';') for f in all_filenames])
# Format CSV
# Transform Timestamp column into datetime
combined_csv['Timestamp'] = pd.to_datetime(combined_csv.Timestamp)
# Read out first entry of every day of every month
combined_csv = round(combined_csv.resample('D',on='Timestamp')['HtmDht_Energy'].agg(['first']))
# To get the yield of day i have to subtract day 2 HtmDht_Energy - day 1 HtmDht_Energy
combined_csv["dailyYield"] = combined_csv["first"] - combined_csv["first"].shift()
# combined_csv.reset_index()
# combined_csv.index.set_names(["year","month"],inplace=True)
combined_csv["monthlySum"] = combined_csv.groupby([combined_csv.Timestamp.dt.year,combined_csv.Timestamp.dt.month]).sum()

combined_csv.columns 的输出

Index(['Timestamp','teHst0101','teHst0102','teHst0103','teHst0104','teHst0105','teHst0106','teHst0107','teHst0201','teHst0202','teHst0203','teHst0204','teHst0301','teHst0302','teHst0303','teHst0304','teAmb','teSolFloHexHst','teSolRetHexHst','teSolCol0501','teSolCol1001','teSolCol1501','vfSol','prSolRetSuc','rdGlobalColAngle','gSolPump01_roActual','gSolPump02_roActual','gHstPump03_roActual','gHstPump04_roActual','gDhtPump06_roActual','gMB01_isOpened','gMB02_isOpened','gCV01_posActual','gCV02_posActual','HtmDht_Energy','HtmDht_Flow','HtmDht_Power','HtmDht_Volume','HtmDht_teFlow','HtmDht_teReturn','HtmHst_Energy','HtmHst_Flow','HtmHst_Power','HtmHst_Volume','HtmHst_teFlow','HtmHst_teReturn','teSolColDes','teHstFloDes'],dtype='object')

追溯：
当我用
选择它时 combine_csv["monthlySum"] = combine_csv.groupby([combined_csv['Timestamp'].dt.year,combined_csv['Timestamp'].dt.month]).sum()

Traceback (most recent call last):
  File "D:\Users\wink\PycharmProjects\csvToExcel\main.py",line 28,in <module>
    combined_csv["monthlySum"] = combined_csv.groupby([combined_csv['Timestamp'].dt.year,combined_csv['Timestamp'].dt.month]).sum()
  File "D:\Users\wink\PycharmProjects\csvToExcel\venv\lib\site-packages\pandas\core\frame.py",line 3024,in __getitem__
    indexer = self.columns.get_loc(key)
  File "D:\Users\wink\PycharmProjects\csvToExcel\venv\lib\site-packages\pandas\core\indexes\base.py",line 3082,in get_loc
    raise KeyError(key) from err
KeyError: 'Timestamp'

使用mustafas 解决方案回溯

Traceback (most recent call last):
  File "C:\Users\winklerm\PycharmProjects\csvToExcel\venv\lib\site-packages\pandas\core\frame.py",line 3862,in reindexer
    value = value.reindex(self.index)._values
  File "C:\Users\winklerm\PycharmProjects\csvToExcel\venv\lib\site-packages\pandas\util\_decorators.py",line 312,in wrapper
    return func(*args,**kwargs)
  File "C:\Users\winklerm\PycharmProjects\csvToExcel\venv\lib\site-packages\pandas\core\frame.py",line 4176,in reindex
    return super().reindex(**kwargs)
  File "C:\Users\winklerm\PycharmProjects\csvToExcel\venv\lib\site-packages\pandas\core\generic.py",line 4811,in reindex
    return self._reindex_axes(
  File "C:\Users\winklerm\PycharmProjects\csvToExcel\venv\lib\site-packages\pandas\core\frame.py",line 4022,in _reindex_axes
    frame = frame._reindex_index(
  File "C:\Users\winklerm\PycharmProjects\csvToExcel\venv\lib\site-packages\pandas\core\frame.py",line 4038,in _reindex_index
    new_index,indexer = self.index.reindex(
  File "C:\Users\winklerm\PycharmProjects\csvToExcel\venv\lib\site-packages\pandas\core\indexes\multi.py",line 2492,in reindex
    target = MultiIndex.from_tuples(target)
  File "C:\Users\winklerm\PycharmProjects\csvToExcel\venv\lib\site-packages\pandas\core\indexes\multi.py",line 175,in new_meth
    return meth(self_or_cls,*args,**kwargs)
  File "C:\Users\winklerm\PycharmProjects\csvToExcel\venv\lib\site-packages\pandas\core\indexes\multi.py",line 531,in from_tuples
    arrays = list(lib.tuples_to_object_array(tuples).T)
  File "pandas\_libs\lib.pyx",line 2527,in pandas._libs.lib.tuples_to_object_array
ValueError: Buffer dtype mismatch,expected 'Python object' but got 'long long'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\winklerm\PycharmProjects\csvToExcel\main.py",in <module>
    combined_csv["monthlySum"] = combined_csv.groupby([combined_csv.Timestamp.dt.year,combined_csv.Timestamp.dt.month]).sum()
  File "C:\Users\winklerm\PycharmProjects\csvToExcel\venv\lib\site-packages\pandas\core\frame.py",line 3163,in __setitem__
    self._set_item(key,value)
  File "C:\Users\winklerm\PycharmProjects\csvToExcel\venv\lib\site-packages\pandas\core\frame.py",line 3242,in _set_item
    value = self._sanitize_column(key,line 3888,in _sanitize_column
    value = reindexer(value).T
  File "C:\Users\winklerm\PycharmProjects\csvToExcel\venv\lib\site-packages\pandas\core\frame.py",line 3870,in reindexer
    raise TypeError(
TypeError: incompatible index of inserted column with frame index

解决方法

这一行使 Timestamp 列成为 combined_csv 的索引：

combined_csv = round(combined_csv.resample('D',on='Timestamp')['HtmDht_Energy'].agg(['first']))

因此当您尝试访问 .Timestamp 时会出现错误。

补救方法是reset_index，所以你可以试试这个：

combined_csv = round(combined_csv.resample('D',on='Timestamp')['HtmDht_Energy'].agg(['first'])).reset_index()

这会将 Timestamp 列带回索引中的普通列，然后您可以访问它。

---

边注：

combined_csv["dailyYield"] = combined_csv["first"] - combined_csv["first"].shift()

相当于

combined_csv["dailyYield"] = combined_csv["first"].diff()