Setzen Sie den Index auf Spalte Pandas
# method A
df = df.set_index('col')
# method B
df['col'] = df.index
JJSSEECC
# method A
df = df.set_index('col')
# method B
df['col'] = df.indexdf.reset_index(level=0, inplace=True)# assignment copy
df = df.set_index('month')
# or inplace
df.set_index('month', inplace=True)
# year sale month month year sale
# 0 2012 55 1 1 2012 55
# 1 2014 40 4 => 4 2014 40
# 2 2013 84 7 7 2013 84
# 3 2014 31 10 10 2014 31df.reset_index(drop=True)
df.reset_index(inplace=True)
df = df.rename(columns = {'index':'new column name'})
>>> college_idx = college.set_index('instnm')>>> sats = college_idx[['satmtmid', 'satvrmid']].dropna()>>> sats.head()