Question

我试图通过以下方式遍历给定时间段的所有日期：

disp_start = dt.datetime(2017,1,6)           #####START DATE
disp_data = closingprices.loc[disp_start:]   #closing prices is data w/ stock prices  

for date in disp_data.index:
    returns = (closingprices.iloc[-1].divide(closingprices.iloc[date]))-1

但是得到这个错误：

TypeError: cannot do positional indexing on <class 'pandas.core.indexes.datetimes.DatetimeIndex'> with these indexers [2017-01-06 00:00:00] of <class 'pandas._libs.tslib.Timestamp'>

不确定如何遍历给定开始日期（disp_start）的所有时段。感谢

Answer 1

我认为您需要DataFrame.loc来选择标签，因为DataFrame.iloc用于按位置选择：

for date in disp_data.index:
    returns = (closingprices.iloc[-1].divide(closingprices.loc[date]))-1

如果出于某种原因需要iloc，请使用Index.get_loc：

for date in disp_data.index:
    returns = (closingprices.iloc[-1].divide(closingprices.iloc[df.index.get_loc(date)]))-1

Answer 2

 def daterange(start_date, end_date):
    for n in range(int ((end_date - start_date).days)):
       yield start_date + timedelta(n)

start_date = date(2013, 1, 1)
end_date = date(2015, 6, 2)
for single_date in daterange(start_date, end_date):
print single_date.strftime("%Y-%m-%d")

Iterating through a range of dates in Python

用for循环遍历日期

2 个答案: