通过pd.read_csv()读取创建Dataframe
df = pd.read_csv('filename.txt', sep=";", names=['Region Name'])
df.insert(0, 'State', df['Region Name'].str.extract('(.*)[edit]', expand=False).ffill())
df['Region Name'] = df['Region Name'].str.replace(r' (.+$', '')
df = df[~df['Region Name'].str.contains('[edit]')].reset_index(drop=True)
print (df)
输出：
State Region Name
0 Alabama Auburn
1 Alabama Florence
2 Alabama Jacksonville
3 Alabama Livingston
4 Alabama Montevallo
5 Alabama Troy
6 Alabama Tuscaloosa
7 Alabama Tuskegee
8 Alaska Fairbanks
9 Arizona Flagstaff
10 Arizona Tempe
11 Arizona Tucson
或者：
df = pd.read_csv('filename.txt', sep=";", names=['Region Name'])
df.insert(0, 'State', df['Region Name'].str.extract('(.*)[edit]', expand=False).ffill())
df = df[~df['Region Name'].str.contains('[edit]')].reset_index(drop=True)
print (df)
输出：
State Region Name
0 Alabama Auburn (Auburn University)[1]
1 Alabama Florence (University of North Alabama)
2 Alabama Jacksonville (Jacksonville State University)[2]
3 Alabama Livingston (University of West Alabama)[2]
4 Alabama Montevallo (University of Montevallo)[2]
5 Alabama Troy (Troy University)[2]
6 Alabama Tuscaloosa (University of Alabama, Stillman Co...
7 Alabama Tuskegee (Tuskegee University)[5]
8 Alaska Fairbanks (University of Alaska Fairbanks)[2]
9 Arizona Flagstaff (Northern Arizona University)[6]
10 Arizona Tempe (Arizona State University)
11 Arizona Tucson (University of Arizona)
