我认为您可以
numpy.sort与
Dataframe构造函数
apply一起使用，也可以
sort_values与convert to
numpyarrayby一起使用
values：
df = pd.Dataframe(np.sort(df.values, axis=0), index=df.index, columns=df.columns)
另一个解决方案，速度较慢：
df = df.apply(lambda x: x.sort_values().values)print (df) 0 1 2 3 4 5 6 7 8 9 ... 490 491 492 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 1 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 2 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 3 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 4 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 5 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 6 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 7 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 8 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 9 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 10 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 11 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 12 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 13 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 14 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 15 0 0 0 0 0 1 0 0 0 0 ... 0 0 0 16 0 0 0 0 0 1 1 0 0 0 ... 0 0 0 17 0 0 0 0 0 1 1 0 0 0 ... 0 0 0 18 0 0 0 0 0 1 1 0 0 0 ... 0 0 0 19 0 0 0 0 0 1 1 1 1 0 ... 0 0 0 20 0 0 1 0 0 1 1 1 1 0 ... 0 0 0 21 0 0 1 0 0 1 1 1 1 1 ... 0 1 0 22 0 1 1 0 0 1 1 1 1 1 ... 0 1 0 23 1 1 1 0 0 1 1 1 1 1 ... 0 1 0 24 1 1 1 0 0 1 1 1 1 1 ... 0 1 0 25 1 1 1 1 0 1 1 1 1 1 ... 0 1 0 26 1 1 1 1 0 1 1 1 1 1 ... 1 1 1 27 1 1 1 1 0 1 1 1 1 1 ... 1 1 1 28 1 1 1 1 0 1 1 1 1 1 ... 1 1 1 29 1 1 1 1 0 1 1 1 1 1 ... 1 1 1 ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... 1970 97 98 98 98 98 98 99 98 98 98 ... 98 98 98 1971 97 98 98 98 98 98 99 98 98 98 ... 98 98 98 1972 98 98 98 98 98 98 99 98 98 98 ... 98 98 98 1973 98 98 98 99 98 98 99 98 98 98 ... 98 98 98 1974 98 98 98 99 98 98 99 98 98 98 ... 98 98 98 1975 98 98 98 99 98 98 99 98 98 98 ... 98 98 98 1976 98 98 98 99 98 98 99 98 99 99 ... 98 98 98 1977 98 98 98 99 98 98 99 98 99 99 ... 98 98 99 1978 98 98 98 99 98 98 99 98 99 99 ... 98 98 99 1979 98 98 98 99 99 99 99 98 99 99 ... 98 98 99 1980 98 98 98 99 99 99 99 98 99 99 ... 98 98 99 1981 99 99 98 99 99 99 99 98 99 99 ... 99 98 99 1982 99 99 98 99 99 99 99 98 99 99 ... 99 98 99 1983 99 99 98 99 99 99 99 98 99 99 ... 99 98 99 1984 99 99 98 99 99 99 99 99 99 99 ... 99 99 99 1985 99 99 98 99 99 99 99 99 99 99 ... 99 99 99 1986 99 99 98 99 99 99 99 99 99 99 ... 99 99 99 1987 99 99 99 99 99 99 99 99 99 99 ... 99 99 99 1988 99 99 99 99 99 99 99 99 99 99 ... 99 99 99 1989 99 99 99 99 99 99 99 99 99 99 ... 99 99 99 1990 99 99 99 99 99 99 99 99 99 99 ... 99 99 99 1991 99 99 99 99 99 99 99 99 99 99 ... 99 99 99 1992 99 99 99 99 99 99 99 99 99 99 ... 99 99 99 1993 99 99 99 99 99 99 99 99 99 99 ... 99 99 99 1994 99 99 99 99 99 99 99 99 99 99 ... 99 99 99 1995 99 99 99 99 99 99 99 99 99 99 ... 99 99 99 1996 99 99 99 99 99 99 99 99 99 99 ... 99 99 99 1997 99 99 99 99 99 99 99 99 99 99 ... 99 99 99 1998 99 99 99 99 99 99 99 99 99 99 ... 99 99 99 1999 99 99 99 99 99 99 99 99 99 99 ... 99 99 99 493 494 495 496 497 498 499 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 5 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 8 0 0 0 0 0 0 0 9 0 0 0 0 0 0 0 10 0 0 0 0 0 0 0 11 0 0 0 0 0 0 0 12 0 0 0 0 0 0 0 13 0 0 0 0 0 0 0 14 0 0 0 0 0 0 0 15 0 0 0 0 1 0 0 16 0 1 0 0 1 0 0 17 0 1 0 0 1 0 0 18 1 1 0 0 1 0 0 19 1 1 1 0 1 0 0 20 1 1 1 0 1 0 1 21 1 1 1 0 1 0 1 22 1 1 1 0 1 0 1 23 1 1 1 0 1 0 1 24 1 1 1 0 1 0 1 25 1 1 1 0 1 0 1 26 1 1 1 0 1 0 1 27 1 1 1 1 1 0 1 28 1 1 1 1 1 0 1 29 1 1 1 1 1 0 1 ... ... ... ... ... ... ... ... 1970 98 98 98 98 98 98 98 1971 98 98 98 98 98 98 98 1972 98 98 98 98 98 98 98 1973 98 98 98 98 98 98 98 1974 98 98 98 99 98 98 98 1975 98 98 98 99 98 98 98 1976 99 98 98 99 98 98 98 1977 99 98 98 99 98 98 98 1978 99 98 98 99 99 98 98 1979 99 99 98 99 99 98 98 1980 99 99 98 99 99 99 99 1981 99 99 98 99 99 99 99 1982 99 99 98 99 99 99 99 1983 99 99 99 99 99 99 99 1984 99 99 99 99 99 99 99 1985 99 99 99 99 99 99 99 1986 99 99 99 99 99 99 99 1987 99 99 99 99 99 99 99 1988 99 99 99 99 99 99 99 1989 99 99 99 99 99 99 99 1990 99 99 99 99 99 99 99 1991 99 99 99 99 99 99 99 1992 99 99 99 99 99 99 99 1993 99 99 99 99 99 99 99 1994 99 99 99 99 99 99 99 1995 99 99 99 99 99 99 99 1996 99 99 99 99 99 99 99 1997 99 99 99 99 99 99 99 1998 99 99 99 99 99 99 99 1999 99 99 99 99 99 99 99
