[EMAIL PROTECTED] wrote:
I have a list that starts with zeros, has sporadic data, and then has
good data. I define the point at which the data turns good to be the
first index with a non-zero entry that is followed by at least 4
consecutive non-zero data items (i.e. a week's worth of non-zero
data). For example, if my list is [0, 0, 1, 0, 1, 2, 3, 4, 5, 6, 7, 8,
9], I would define the point at which data turns good to be 4 (1
followed by 2, 3, 4, 5).
I have a simple algorithm to identify this changepoint, but it looks
crude: is there a cleaner, more elegant way to do this?
flag = True
i=-1
j=0
while flag and i < len(retHist)-1:
i += 1
if retHist[i] == 0:
j = 0
else:
j += 1
if j == 5:
flag = False
del retHist[:i-4]
Thanks in advance for your help
Thomas Philips
Here is one that can go iterator-to-iterator:
def started(source):
src = iter(source)
lead = []
for x in src:
if x:
lead.append(x)
if len(lead) == 5:
return itertools.chain(lead, src)
else:
lead = []
print list(started([0, 0, 1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9]))
--Scott David Daniels
[EMAIL PROTECTED]
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