KeyError：'标签不在[index]中

Question

您尝试从我的数据帧访问值时，我一直收到以下错误。

KeyError：'标签[2010Q3]不在[index]'

我相信这是因为我的列是日期时间格式。我尝试过铸造字符串，但似乎从来没有工作过。

欢迎任何建议。

谢谢。

import pandas as pd
import numpy as np
from scipy.stats import ttest_ind

import time
from datetime import date

#Read in file, drop 1996-1999, and fill NAN with zeros
dfHousingData = pd.read_csv("City_Zhvi_AllHomes.csv")
dfHousingData = dfHousingData.drop(dfHousingData.columns[6:51],axis=1)
dfHousingData = dfHousingData.fillna(0)

#To use Perdiod index, create a seperate df with the dates, then grouby by 1/4 
dfTimeSerQs= dfHousingData.drop(dfHousingData.columns[0:6],axis=1)
dfTimeSerQs = dfTimeSerQs.groupby(pd.PeriodIndex(dfTimeSerQs.columns, freq='Q'), axis=1).mean()#.astype(str)
dfTimeSerQs.columns.strftime('%YQ%q')


#Drop the monthly data from the orgainal df and then recombine with the newly group data
dfHousingData = dfHousingData.drop(dfHousingData.columns[6:206],axis=1)
dfHousingData = pd.merge(dfHousingData,dfTimeSerQs, how = 'left',left_index=True,right_index=True)

#Apply dic and create index
dfHousingData['State'] = dfHousingData['State'].map(states)
dfHousingData.set_index(['State','RegionName'],inplace = True)

#Other feilds are not needed so drop
dfHousingData = dfHousingData.drop(dfHousingData.columns[0:4],axis=1)
#dfHousingData
dfHousingData.loc["Texas"].loc["Austin"].loc["2010Q3"]