看起来df.drop（）在日期时间索引中不起作用

Question

It looks like df.drop() is not working as expected (Note the index is a DatetimeIndex):

>>> df
                            price  bidvol  askvol
datetime
2014-07-16 14:23:46.653000  34911       0       1
2014-07-16 14:23:53.705000  34909       5       0
2014-07-16 14:23:55.326000  34909       2       0
2014-07-16 14:23:59.539000  34908       1       0
2014-07-16 14:23:59.539000  34908       9       0
2014-07-16 14:24:00.219000  34908       2       0

>>> df = df.drop(df.ix['2014-07-16 14:24':])

>>> df
                             price  bidvol  askvol
datetime
2014-07-16 14:23:46.653000  34911       0       1
2014-07-16 14:23:53.705000  34909       5       0
2014-07-16 14:23:55.326000  34909       2       0
2014-07-16 14:23:59.539000  34908       1       0
2014-07-16 14:23:59.539000  34908       9       0
2014-07-16 14:24:00.219000  34908       2       0

Am I missing something?

Answer 1

date = '2014-07-16 14:24'

To drop a range:

df = df[:date] # Drops anything after the date
df = df[date:] # Drops anything before the date

To drop a row:

df = df.drop(Timestamp(date)) # Drops the row indexed by the date

It is not that drop doesn't work for dates. It seems instead that it does not automatically converts strings to dates as slice indexing does.

Check the docs .