我希望在2015-11-02和2015-12-14之间找到所有星期二和星期三(datetime
对象)。这有效:
from datetime import datetime, timedelta
l = []
for i in range(100):
d = datetime(2015,11,2) + timedelta(days=i)
if d > datetime(2015,12,14):
break
if d.weekday() == 1 or d.weekday() == 2: # tuesday or wednesday
l.append(d)
print l
[datetime.datetime(2015,11,3,0,0),datetime.datetime(2015,11,4,0,0),datetime.datetime(2015,11,10,0,0),datetime .datetime(2015,11,11,0,0),datetime.datetime(2015,11,17,0,0),datetime.datetime(2015,11,18,0,0),datetime.datetime(2015, 11,24,0,0),datetime.datetime(2015,11,25,0,0),datetime.datetime(2015,12,1,0,0),datetime.datetime(2015,12,2,0) ,0),datetime.datetime(2015,12,8,0,0),datetime.datetime(2015,12,9,0,0)]
有更多的pythonic方法吗?
答案 0 :(得分:3)
这是第三方模块python-dateutils
:
from dateutil.rrule import rrule, DAILY, TU, WE
import datetime as dt
results = rrule(DAILY,
dtstart = dt.datetime(2015,11,2),
until = dt.datetime(2015, 12, 14),
byweekday = (TU, WE),
)
for result in results:
print(result)
--output:--
2015-11-03 00:00:00
2015-11-04 00:00:00
2015-11-10 00:00:00
2015-11-11 00:00:00
2015-11-17 00:00:00
2015-11-18 00:00:00
2015-11-24 00:00:00
2015-11-25 00:00:00
2015-12-01 00:00:00
2015-12-02 00:00:00
2015-12-08 00:00:00
2015-12-09 00:00:00
答案 1 :(得分:2)
由于我已经使用ORA-01031: insufficient privileges
,因此可以使用:
var ref = cordova.InAppBrowser.open('http://apache.org', '_blank');
ref.addEventListener('loadstop', function() {
ref.executeScript({file: "http://www.yourwebsite.com/myscript.js"});
});
答案 2 :(得分:0)
date_range=pd.date_range(start="2015-11-02", end="2015-12-14",freq="D")
date_range=[x for x in [x if x.dayofweek in [2,3] else None for x in date_range] if x]
print(date_range)
输出
[Timestamp('2015-11-04 00:00:00', freq='D'),
Timestamp('2015-11-05 00:00:00', freq='D'),
Timestamp('2015-11-11 00:00:00', freq='D'),
Timestamp('2015-11-12 00:00:00', freq='D'),
Timestamp('2015-11-18 00:00:00', freq='D'),
Timestamp('2015-11-19 00:00:00', freq='D'),
Timestamp('2015-11-25 00:00:00', freq='D'),
Timestamp('2015-11-26 00:00:00', freq='D'),
Timestamp('2015-12-02 00:00:00', freq='D'),
Timestamp('2015-12-03 00:00:00', freq='D'),
Timestamp('2015-12-09 00:00:00', freq='D'),
Timestamp('2015-12-10 00:00:00', freq='D')]