基於 str.find 的 Pandas 切片字符串作為開始和停止的位置

Question

我有一個看起來像這樣的數據框

commands
*client interface       : Eth-Trunk45.2903 is up
*client interface       : Eth-Trunk46.2620 is up
*client interface       : Eth-Trunk46.2988 is up
*client interface       : Eth-Trunk55.1703 is up
*client interface       : Eth-Trunk55.1704 is up
*client interface       : GigabitEthernet4/1/12.102 is up

如何切片字符串並獲得如下輸出。

commands
Eth-Trunk45.2903
Eth-Trunk46.2620
Eth-Trunk46.2988
Eth-Trunk55.1703
Eth-Trunk55.1704
GigabitEthernet4/1/12.102

我試試

df['commands'] = df['commands'].str.slice(start=df['commands'].str.find(':'), stop=df['commands'].str.find(' is'))

但這只會返回我的 nan 值。

請幫忙。

Answer 1

使用Series.str.extract獲取值之間的值：

df['commands'] = df['commands'].str.extract(r":(.+) is", expand=False)
print (df)
                     commands
0            Eth-Trunk45.2903
1            Eth-Trunk46.2620
2            Eth-Trunk46.2988
3            Eth-Trunk55.1703
4            Eth-Trunk55.1704
5   GigabitEthernet4/1/12.102

您的解決方案在Series.apply是可能的，因為熊貓切片僅對所有列使用相同的整數：

df['commands'] = df['commands'].apply(lambda x: x[x.find(': ') + 1: x.find(' is ')])
print (df)
                     commands
0            Eth-Trunk45.2903
1            Eth-Trunk46.2620
2            Eth-Trunk46.2988
3            Eth-Trunk55.1703
4            Eth-Trunk55.1704
5   GigabitEthernet4/1/12.102

---

print (df['commands'].str.slice(26, 42))
0    Eth-Trunk45.2903
1    Eth-Trunk46.2620
2    Eth-Trunk46.2988
3    Eth-Trunk55.1703
4    Eth-Trunk55.1704
5    GigabitEthernet4
Name: commands, dtype: object