我在数据帧中有列,我正尝试从字符串中提取8位数字。我该怎么办
Input
Shipment ID
20180504-S-20000
20180514-S-20537
20180514-S-20541
20180514-S-20644
20180514-S-20644
20180516-S-20009
20180516-S-20009
20180516-S-20009
20180516-S-20009
预期产量
Order_Date
20180504
20180514
20180514
20180514
20180514
20180516
20180516
20180516
20180516
我尝试了下面的代码,但没有用。
data['Order_Date'] = data['Shipment ID'][:8]
答案 0 :(得分:0)
您接近了,需要使用str
进行索引,该索引适用于Serie
s的每个值:
data['Order_Date'] = data['Shipment ID'].str[:8]
如果没有NaN
的值,则为获得更好的性能:
data['Order_Date'] = [x[:8] for x in data['Shipment ID']]
print (data)
Shipment ID Order_Date
0 20180504-S-20000 20180504
1 20180514-S-20537 20180514
2 20180514-S-20541 20180514
3 20180514-S-20644 20180514
4 20180514-S-20644 20180514
5 20180516-S-20009 20180516
6 20180516-S-20009 20180516
7 20180516-S-20009 20180516
8 20180516-S-20009 20180516
如果按位置省略str
代码过滤器列,则前N个值如下:
print (data['Shipment ID'][:2])
0 20180504-S-20000
1 20180514-S-20537
Name: Shipment ID, dtype: object
答案 1 :(得分:0)
您也可以使用str.extract
例如:
import pandas as pd
df = pd.DataFrame({'Shipment ID': ['20180504-S-20000', '20180514-S-20537', '20180514-S-20541', '20180514-S-20644', '20180514-S-20644', '20180516-S-20009', '20180516-S-20009', '20180516-S-20009', '20180516-S-20009']})
df["Order_Date"] = df["Shipment ID"].str.extract(r"(\d{8})")
print(df)
输出:
Shipment ID Order_Date
0 20180504-S-20000 20180504
1 20180514-S-20537 20180514
2 20180514-S-20541 20180514
3 20180514-S-20644 20180514
4 20180514-S-20644 20180514
5 20180516-S-20009 20180516
6 20180516-S-20009 20180516
7 20180516-S-20009 20180516
8 20180516-S-20009 20180516
答案 2 :(得分:0)
您还可以决定从search([('a_ids','in', [a_id])])
删除到结尾
-S
您还可以捕获前8位数字,然后删除所有内容,并用捕获的组的后向引用代替:
df["Order_Date"]=df['Shipment ID'].replace(regex=r"\-.*",value="")
df
Shipment ID Order_Date
0 20180504-S-20000 20180504
1 20180514-S-20537 20180514
2 20180514-S-20541 20180514
3 20180514-S-20644 20180514
4 20180514-S-20644 20180514
5 20180516-S-20009 20180516
6 20180516-S-20009 20180516
7 20180516-S-20009 20180516
8 20180516-S-20009 20180516