I want to write a loop for multiple stocks for specific date time periods.
The following code can only get the data for one day each time. So I want to write a loop outside the function. After that, I want to contact all these stock data into DataFrame.
Like I want the data from 2015-01-01 to today.
import tushare as ts
ticker = ['002428', '600030', '600031', '002437', '300399']
df = ts.get_tick_data(ticker,'2014-01-09')
df.head(10)
Loop over a date range day-by-day and use strftime() to convert a date into a string:
from datetime import timedelta, datetime
def daterange(start_date, end_date):
for n in range(int((end_date - start_date).days)):
yield start_date + timedelta(n)
start_date = datetime(year=2015, month=1, day=1)
end_date = datetime.today()
for single_date in daterange(start_date, end_date):
value = single_date.strftime("%Y-%m-%d")
print value
Demo:
>>> start_date = datetime(year=2015, month=1, day=1)
>>> end_date = datetime.today()
>>> for single_date in daterange(start_date, end_date):
... value = single_date.strftime("%Y-%m-%d")
... print value
...
2015-01-01
2015-01-02
...
2015-03-03
2015-03-04
2015-03-05
There is also an awesome library for working with dates and times called delorean. Aside from other features, it has a built-in support for date range iterations:
>>> import delorean
>>> from delorean import stops
>>> for stop in stops(freq=delorean.DAILY, timezone="US/Eastern", start=start_date, stop=end_date):
... value = stop.date.strftime("%Y-%m-%d")
... print value
...
2015-01-01
2015-01-02
2015-01-03
...
2015-03-04
2015-03-05
2015-03-06
