使用Python中的Dataframe索引创建包含数据的列表

Question

i'm facing troubles trying to convert the index of df (see code) into a list, because when i run it this list is a "Timestamp" one (i dont know what that means). The code is

quote='AAPL'
stock = DataReader(quote,'yahoo',start_date,end_date)
stock.head()
df=DataFrame(stock)
xdata = df.index.tolist()

And then when run i get

[Timestamp('2010-01-04 00:00:00'), Timestamp('2010-01-05 00:00:00'), Timestamp('2010-01-06 00:00:00'), Timestamp('2010-01-07 00:00:00'), Timestamp('2010-01-08 00:00:00')]

But i want to have something like this:

['2010-01-04', '2010-01-05'), ...,'2010-01-08')]

Can somebody please help me out with this?

Thanks in advance!

Answer 1

ts_list = df.index.tolist()  # a list of Timestamp's
date_list = [ ts.date() for ts in ts_list ]  # a list of datetime.date's
date_str_list = [ str(date) for date in date_list ]  # a list of strings