High Low Open Close Volume Adj Close year pct_day
Date month week day
1989-01-03 1 1 3 277.720001 273.809998 277.720001 275.309998 128500000 275.309998 1989 NaN
1989-01-04 1 1 4 279.750000 275.309998 275.309998 279.429993 149700000 279.429993 1989 0.014965
1989-01-05 1 1 5 281.510010 279.429993 279.429993 280.010010 174040000 280.010010 1989 0.002076
1989-01-06 1 1 6 282.059998 280.010010 280.010010 280.670013 161330000 280.670013 1989 0.002357
1989-01-09 1 2 9 281.890015 280.320007 280.670013 280.980011 163180000 280.980011 1989 0.001104
... ... ... ... ... ... ... ... ... ... ... ...
2006-12-22 12 51 22 1418.819946 1410.280029 1418.099976 1410.760010 1647590000 1410.760010 2006 -0.005316
2006-12-26 12 52 26 1417.910034 1410.449951 1410.750000 1416.900024 1310310000 1416.900024 2006 0.004352
2006-12-27 12 52 27 1427.719971 1416.630005 1416.630005 1426.839966 1667370000 1426.839966 2006 0.007015
2006-12-28 12 52 28 1427.260010 1422.050049 1426.770020 1424.729980 1508570000 1424.729980 2006 -0.001479
2006-12-29 12 52 29 1427.000000 1416.839966 1424.709961 1418.300049 1678200000 1418.300049 2006 -0.004513
4539 rows × 8 columns
我使用data['month'] = data.index.month创建并将索引设置为月份号。是否可以重新设置格式，以便我可以更改数字Jan而不是March的格式？日期仍然需要在datetime字段中。
我尝试了data['month'] = data.index.month.format(month,'%B')，但遇到此错误：
NameError: name 'month' is not defined
我想将名称更改为df.plot(y='pct_day')
