IndexError：索引超出熊貓的範圍

Question

我是熊貓的初學者。我想從excel文件中提取一列到pandas的python數組中。我想要在整個列中運行一個循環。我想在column.Here打印第1個數據是我的代碼：

import pandas as pd 
xl_workbook = pd.ExcelFile("Summary.xlsx") # Load the excel workbook 
df = xl_workbook.parse("Sheet1") # Parse the sheet into a dataframe 
df['transactionqtr'] = pd.to_datetime(df['transactionqtr'],errors ='coerce') 
df['commencementdate'] = pd.to_datetime(df['commencementdate'],errors ='coerce') 
df=df.dropna() 
df['transactionqtr'] = df['transactionqtr'].apply(lambdax:x.date().strftime('%m%d%y')) 
df['commencementdate'] = df['commencementdate'].apply(lambda x:x.date().strftime('%m%d%y')) 
arr1 = df['transactionqtr'][1][1] 
arr2 = df['commencementdate'][1][1] 
print(arr1) 
print(arr2) 

但它顯示IndexError：索引越界在這條線：

arr1 = df['transactionqtr'][1][1] 
arr2 = df['commencementdate'][1][1] 

我應該怎樣解決這個問題？請也指導我更好的代碼。

Answer 1

我認爲你需要dt.strftime與tolist或values：

#if need list 
arr1 = df['transactionqtr'].dt.strftime('%m%d%y').tolist() 
arr2 = df['commencementdate'].dt.strftime('%m%d%y').tolist() 

#if need numpy array 
arr1 = df['transactionqtr'].dt.strftime('%m%d%y').values 
arr2 = df['commencementdate'].dt.strftime('%m%d%y').values 

而對於第一個值使用索引與[]：

a = arr1[0]