我正在尝试应用一些我已经编码并可以针对变量运行的正则表达式，但是我想将其应用于数据框列，然后将结果传递给新列
df["Details"] is my dataframe
df [“ Details”]是我的数据框，它包含一些类似于我在下面作为详细信息创建的文本
import re
details = '1st: Batman 01:12.98 11.5L'
position = re.search('\w\w\w:\s', details)
distance = re.search('(\s\d\d.[0-9]L)', details)
time = re.search(r'\d{2}:\d{2}.\d{2}',details)
print(position.group(0))
print(distance.group(0))
print(time.group(0))
output is then
1st:
11.5L
01:12.98
然后，我希望能够将这些值添加到分别与输出匹配的数据帧的新列中，该列称为position，distance，time
最佳答案
我相信您需要Series.str.extract：
details = '1st: Batman 01:12.98 11.5L'
df = pd.DataFrame({"Details":[details,details,details]})
df['position'] = df['Details'].str.extract(r'(\w\w\w:\s)')
df['distance'] = df['Details'].str.extract(r'(\s\d\d.[0-9]L)')
df['time'] = df['Details'].str.extract(r'(\d{2}:\d{2}.\d{2})')
print(df)
Details position distance time
0 1st: Batman 01:12.98 11.5L 1st: 11.5L 01:12.98
1 1st: Batman 01:12.98 11.5L 1st: 11.5L 01:12.98
2 1st: Batman 01:12.98 11.5L 1st: 11.5L 01:12.98