I am curious what would be an efficient way of uniquefying such data objects:
testdata =[ [\'9034968\', \'ETH\'], [\'14160113\', \'ETH\'], [\'9034968\', \'ETH
I tried @Mark's answer and got an error. Converting the list and each elements into a tuple made it work. Not sure if this the best way though.
list(map(list, set(map(lambda i: tuple(i), testdata))))
Of course the same thing can be expressed using a list comprehension instead.
[list(i) for i in set(tuple(i) for i in testdata)]
I am using Python 2.6.2.
Update
@Mark has since changed his answer. His current answer uses tuples and will work. So will mine :)
Update 2
Thanks to @Mark. I have changed my answer to return a list of lists rather than a list of tuples.
if you have a list of objects than you can modify @Mark Byers answer to:
unique_data = [list(x) for x in set(tuple(x.testList) for x in testdata)]
where testdata is a list of objects which has a list testList as attribute.
Use unique in numpy
to solve this:
import numpy as np
np.unique(np.array(testdata), axis=0)
Note that the axis
keyword needs to be specified otherwise the list is first flattened.
Alternatively, use vstack:
np.vstack({tuple(row) for row in testdata})
Expanding a bit on @Mark Byers solution, you can also just do one list comprehension and typecast to get what you need:
testdata = list(set(tuple(x) for x in testdata))
Also, if you don't like list comprehensions as many find them confusing, you can do the same in a for loop:
for i, e in enumerate(testdata):
testdata[i] = tuple(e)
testdata = list(set(testdata))
You can use a set:
unique_data = [list(x) for x in set(tuple(x) for x in testdata)]
You can also see this page which benchmarks a variety of methods that either preserve or don't preserve order.
import sets
testdata =[ ['9034968', 'ETH'], ['14160113', 'ETH'], ['9034968', 'ETH'], ['11111', 'NOT'], ['9555269', 'NOT'], ['15724032', 'ETH'], ['15481740', 'ETH'], ['15481757', 'ETH'], ['15481724', 'ETH'], ['10307528', 'ETH'], ['15481757', 'ETH'], ['15481724', 'ETH'], ['15481740', 'ETH'], ['15379365', 'ETH'], ['11111', 'NOT'], ['9555269', 'NOT'], ['15379365', 'ETH']]
conacatData = [x[0] + x[1] for x in testdata]
print conacatData
uniqueSet = sets.Set(conacatData)
uniqueList = [ [t[0:-3], t[-3:]] for t in uniqueSet]
print uniqueList