Python：根据另一列中的值提取单元格值
我需要从D列（黄色）中提取string，只要F列（蓝色）中有一行有＃个。 我是一个初学者，正在尝试pandas和openpyxl这个任务，但没有运气。 哪一个会更好呢？
我希望他们存储，以便我可以稍后访问它们。
另外，从H列（绿色）提取数字将是最简单的正则expression式？ 链接到excel的onedrive 
我认为你首先需要read_excel ，并且似乎前面7行必须被跳过：
df = pd.read_excel('LTE_KPIs_up.xlsx', skiprows=7) #print (df)
然后用locselectloc ：
print (df.loc[df.Unit == '#', 'KPI name'])
0 UE-triggered ERAB Setup Attempts 1 UE-triggered ERAB Setup Successes 4 MME-initiated ERAB Setup Attempts 5 MME-initiated ERAB Setup Successes 8 eNodeB-initiated ERAB Release Attempts 9 eNodeB-initiated ERAB Drops 11 MME-initiated ERAB Release Attempts 12 MME-initiated ERAB Drops 14 ERAB Modification Attempts 15 ERAB Modification Successes 18 HO Preparation Attempts 19 HO Preparation Successes 22 HO Resource Allocation Attempts 23 HO Resource Allocation Successes 26 Handover Attempts 27 Handover Successes 33 EPS Attach Attempts 34 EPS Attach Successes 37 EPS Detach Attempts 38 EPS Detach Successes 40 EPS Authentication Attempts 41 EPS Authentication Successes 43 EPS Security Setup Attempts 44 EPS Security Setup Successes 46 EMM Identification Attepmt 47 EMM Identification Successes 49 EPS Service Request Attemptss 50 EPS Service Request Successes 52 Tracking Area Update Attempts 53 Tracking Area Update Successes 117 S6a Delete Subscriber Data Attempts 118 S6a Delete Subscriber Data Successes 120 S6a Notification Attempts 121 S6a Notification Successes 126 S11 Create Session Attempts 127 S11 Create Session Successes 130 S11 Create Bearer Attempts 131 S11 Create Bearer Successes 134 S11 Update Bearer Attempts 135 S11 Update Bearer Successes 138 Modify Access Bearer Attempts 139 Modify Access Bearer Successes 141 Release Access Bearer Attempts 142 Release Access Bearer Successes 144 Downlink Data Notification Attempts 145 Downlink Data Notification Successes 147 S11 Delete Session Attempts 148 S11 Delete Session Successes 150 S11 Delete Bearer Attempts 151 S11 Delete Bearer Successes 154 Suspend Attempts 155 Suspend Successes 157 Resume Attempts 158 Resume Successes 162 ME Identity Check Attempts 163 ME Identity Check Successes 168 Credit Control Initial Attempts 169 Credit Control Initial Successes 171 Credit Control Termination Attempts 172 Credit Control Termination Successes Name: KPI name, dtype: object
您可以使用以下代码从列F中select所需的值。 另外我假设列H在数字之前有一个'='符号
import csv import pandas as pd from io import StringIO Excelfile = "file.xlsx" df = pd.read_excel(open(Excelfile,'rb'), sheetname='Sheet1') selectstring = df['ColumnD'].where(df['ColumnF'] == '#') print selectstring print df['Columnh'].str.split('=')[1]