[英]How can I strip leading zeros from multiple columns in a dataset?
我想從數據集中的兩列中刪除前導零,如果可能的話,在一行代碼中,但我不知道如何寫出來。 我有這個工作單列。
應用正則表達式之前的數據集:
print(excl_merged.head(10))
Subnet Mask
0 10.15.176.000 255.255.255.128
1 10.15.177.000 255.255.255.192
2 10.15.178.064 255.255.255.192
3 10.15.179.000 255.255.255.128
4 10.15.180.000 255.255.255.000
5 10.15.181.000 255.255.255.224
6 10.15.182.000 255.255.254.000
7 10.15.183.000 255.255.254.000
8 10.15.184.000 255.255.255.000
9 10.15.185.000 255.255.255.000
之后將正則表達式應用於單列和數據集視圖:
excl_merged["Subnet"] = excl_merged["Subnet"].str.replace(r"\b0+\B", "", regex=True)
print(excl_merged.head(10))
Subnet Mask
0 10.15.176.0 255.255.255.128
1 10.15.177.0 255.255.255.192
2 10.15.178.64 255.255.255.192
3 10.15.179.0 255.255.255.128
4 10.15.180.0 255.255.255.000
5 10.15.181.0 255.255.255.224
6 10.15.182.0 255.255.254.000
7 10.15.183.0 255.255.254.000
8 10.15.184.0 255.255.255.000
9 10.15.185.0 255.255.255.000
你很接近,試試這個:
Subnet = ["10.15.183.000", "10.15.184.000", "10.15.185.224"]
Mask = ["255.255.254.000", "255.255.255.064", "255.255.255.000"]
excl_merged = pd.DataFrame({"Subnet":Subnet, "Mask":Mask})
### Relevant code
excl_merged[["Subnet", "Mask"]] = excl_merged[["Subnet", "Mask"]].replace(r"\b0+\B", "", regex=True)
輸出:
Subnet Mask
10.15.183.0 255.255.254.0
10.15.184.0 255.255.255.64
10.15.185.224 255.255.255.0
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