Carl Banks wrote:
MooMaster wrote:
So I'm reading in values from a file, and for each column I need to
dynamically discover the range of possible values it can take and
quantize if necessary. This is the solution I've come up with:
[snip]
#harvested from http://www.rosettacode.org/wiki/IsNumeric#Python
def isNumeric(string):
try:
i = float(string)
except ValueError:
return False
return True
[snip]
import collections
import itertools
def createInitialCluster(fileName):
fixedPoints = []
# quantization is a dict that assigns sequentially-increasing
numbers
# to values when reading keys that don't yet exit
quantization = defaultdict.collections(itertools.count().next)
with open(fileName, 'r') as f:
for line in f:
dimensions = []
for s in line.rstrip('\n').split(","):
if isNumeric(s):
dimensions.append(float(s))
else:
dimensions.append(float(quantization[s]))
fixedPoints.append(Point(dimensions))
return Cluster(fixedPoints)
I'd also remove the isNumeric() function. You're just converting to a
float if you can successfully convert to a float!
try:
dimensions.append(float(s))
except ValueError:
dimensions.append(float(quantization[s]))
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