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Compare List of Tuples and Return Indices of Matched Values

I'm new to programming and am having some trouble with this exercise. The goal is to write a function that returns a list of matching items.
Items are defined by a tuple with a letter and a number and we consider item 1 to match item 2 if:
Both their letters are vowels (aeiou), or both are consonants
AND
The sum of their numbers is a multiple of 3
NOTE: The return list should not include duplicate matches --> (1,2) contains the same information as (2,1), the output list should only contain one of them.
Here's an example:
***input:*** [('a', 4), ('b', 5), ('c', 1), ('d', 3), ('e', 2), ('f',6)]
***output:*** [(0,4), (1,2), (3,5)]
Any help would be much appreciated!

from itertools import combinations
lst = [('a', 4), ('b', 5), ('c', 1), ('d', 3), ('e', 2), ('f',6)]
vowels = 'aeiou'
matched = [(i[0],j[0]) for (i,j) in combinations(enumerate(lst),2) if (i[1][0] in vowels) == (j[1][0] in vowels) and ((i[1][1] + j[1][1]) % 3 == 0)]
print(matched)

Sorry, I'm high enough rep to comment, but i'll edit / update once I can.
Im a little confused about the question, what is the purpose of the letters, should we be using their positon in the alphabet as their value? i.e a=0, b=1?
what are we comparing one tuple to?
Thanks

You can use itertools.combinations with enumerate to iterate all combinations and output indices. Combinations do not include permutations, so you will not see duplicates.
from itertools import combinations
lst = [('a', 4), ('b', 5), ('c', 1), ('d', 3), ('e', 2), ('f',6)]
def checker(lst):
vowels = set('aeiou')
for (idx_i, i), (idx_j, j) in combinations(enumerate(lst), 2):
if ((i[0] in vowels) == (j[0] in vowels)) and ((i[1] + j[1]) % 3 == 0):
yield idx_i, idx_j
res = list(checker(lst))
# [(0, 4), (1, 2), (3, 5)]

Python, Printing dictionary key dependent on value amount

I'm looking to print the key depending on the amount of values...
Lets say in my dictionary I have...
('l', 2)
('o', 1)
('h', 1)
('e', 1)
I would like to print this as
L, L, O, H, E
these characters can change in my code as they are user inputted.

alist = [('l', 2), ('o', 1), ('h', 1), ('e', 1)]
alist.sort(key=lambda x: x[1], reverse=True)
print ', '.join(list(''.join([key.upper()*val for key, val in alist])))
## prints 'L, L, O, H, E'

Iterate the dictionary and for each Key you will get its value. And print key that many number of times.
for key in dictionary.keys():
value = dictionary[key]
i = 0
while i < value:
print key

my_dictionary = dict([('l', 2), ('o', 1), ('h', 1), ('e', 1)])
ans = ""
for key in my_dictionary:
for rep in xrange(my_dictionary[key]):
ans+=key+" ,"
print ans[:-2] #To remove the trailing comma

Smart way to delete tuples

I having a list of tuple as describes below (This tuple is sorted in decreasing order of the second value):
from string import ascii_letters
myTup = zip (ascii_letters, range(10)[::-1])
threshold = 5.5
>>> myTup
[('a', 9), ('b', 8), ('c', 7), ('d', 6), ('e', 5), ('f', 4), ('g', 3), ('h', 2), \
('i', 1), ('j', 0)]
Given a threshold, what is the best possible way to discard all tuples having the second value less than this threshold.
I am having more than 5 million tuples and thus don't want to perform comparison tuple by tuple basis and consequently delete or add to another list of tuples.

Since the tuples are sorted, you can simply search for the first tuple with a value lower than the threshold, and then delete the remaining values using slice notation:
index = next(i for i, (t1, t2) in enumerate(myTup) if t2 < threshold)
del myTup[index:]
As Vaughn Cato points out, a binary search would speed things up even more. bisect.bisect would be useful, except that it won't work with your current data structure unless you create a separate key sequence, as documented here. But that violates your prohibition on creating new lists.
Still, you could use the source code as the basis for your own binary search. Or, you could change your data structure:
>>> myTup
[(0, 'a'), (1, 'b'), (2, 'c'), (3, 'd'), (4, 'e'), (5, 'f'),
(6, 'g'), (7, 'h'), (8, 'i'), (9, 'j')]
>>> index = bisect.bisect(myTup, (threshold, None))
>>> del myTup[:index]
>>> myTup
[(6, 'g'), (7, 'h'), (8, 'i'), (9, 'j')]
The disadvantage here is that the deletion may occur in linear time, since Python will have to shift the entire block of memory back... unless Python is smart about deleting slices that start from 0. (Anyone know?)
Finally, if you're really willing to change your data structure, you could do this:
[(-9, 'a'), (-8, 'b'), (-7, 'c'), (-6, 'd'), (-5, 'e'), (-4, 'f'),
(-3, 'g'), (-2, 'h'), (-1, 'i'), (0, 'j')]
>>> index = bisect.bisect(myTup, (-threshold, None))
>>> del myTup[index:]
>>> myTup
[(-9, 'a'), (-8, 'b'), (-7, 'c'), (-6, 'd')]
(Note that Python 3 will complain about the None comparison, so you could use something like (-threshold, chr(0)) instead.)
My suspicion is that the linear time search I suggested at the beginning is acceptable in most circumstances.

Here's an exotic approach that wraps the list in a list-like object before performing bisect.
import bisect
def revkey(items):
class Items:
def __getitem__(self, index):
assert 0 <= index < _len
return items[_max-index][1]
def __len__(self):
return _len
def bisect(self, value):
return _len - bisect.bisect_left(self, value)
_len = len(items)
_max = _len-1
return Items()
tuples = [('a', 9), ('b', 8), ('c', 7), ('d', 6), ('e', 5), ('f', 4), ('g', 3), ('h', 2), ('i', 1), ('j', 0)]
for x in range(-2, 12):
assert len(tuples) == 10
t = tuples[:]
stop = revkey(t).bisect(x)
del t[stop:]
assert t == [item for item in tuples if item[1] >= x]

Maybe a bit faster code than of #Curious:
newTup=[]
for tup in myTup:
if tup[1]>threshold:
newTup.append(tup)
else:
break
Because the tuples are ordered, you do not have to go through all of them.
Another possibility would also be, to use bisection, and find the index i of last element, which is above threshold. Then you would do:
newTup=myTup[:i]
I think the last method would be the fastest.

Given the number of tuples you're dealing with, you may want to consider using NumPy.
Define a structured array like
my_array= np.array(myTup, dtype=[('f0',"|S10"), ('f1',float)])
You can access the second elements of your tuples with myarray['f1'] which gives you a float array. Youcan know use fancy indexing techniques to filter the elements you want, like
my_array[myarray['f1'] < threshold]
keeping only the entries where your f1 is less than your threshold..

You can also use itertools e.g.
from itertools import ifilter
iterable_filtered = ifilter(lambda x : x[1] > threshold, myTup)
If you wanted an iterable filtered list or just:
filtered = filter(lambda x: x[1] > threshold, myTup)
to go straight to a list.
I'm not too familiar with the relative performance of these methods and would have to test them (e.g. in IPython using %timeit).

Countletters(sorted)

Following is my coding for count letters and i need the output as
[('e', 1), ('g', 2), ('l', 1), ('o', 2)]
and my out put is
[('e', 1), ('g', 2), ('g', 2), ('l', 1), ('o', 2), ('o', 2)]
This is my code
def countLetters(word):
word=list(word)
word.sort()
trans=[]
for j in word:
row=[]
a=word.count(j)
row.append(j)
row.append(a)
trans.append(tuple(row))
return trans
can anyone explain me, how to get the expected output with my code?
Thank you

Why not just use a Counter?
Example:
from collections import Counter
c = Counter("Foobar")
print sorted(c.items())
Output:
[('F', 1), ('a', 1), ('b', 1), ('o', 2), ('r', 1)]
Another way is to use a dict, or better, a defaultdict (when running python 2.6 or lower, since Counter was added in Python 2.7)
Example:
from collections import defaultdict
def countLetters(word):
d = defaultdict(lambda: 0)
for j in word:
d[j] += 1
return sorted(d.items())
print countLetters("Foobar")
Output:
[('F', 1), ('a', 1), ('b', 1), ('o', 2), ('r', 1)]
Or use a simple list comprehension
word = "Foobar"
print sorted((letter, word.count(letter)) for letter in set(word))

>>> from collections import Counter
>>> Counter('google')
Counter({'o': 2, 'g': 2, 'e': 1, 'l': 1})
>>> from operator import itemgetter
>>> sorted(Counter('google').items(), key=itemgetter(0))
[('e', 1), ('g', 2), ('l', 1), ('o', 2)]
>>>
Actually, there is no need for key:
>>> sorted(Counter('google').items())
[('e', 1), ('g', 2), ('l', 1), ('o', 2)]
As tuples are sorted first by the first item, then by the second, etc.

def countLetters(word):
k=[]
Listing=[]
Cororo=[]
for warm in word:
if warm not in k:
k.append(warm)
for cold in range(len(k)):
word.count(k[cold])
Listing.append(word.count(k[cold]))
Cororo.append((k[cold],Listing[cold]))
return sorted(Cororo)
This is a bit of an old fashion way of doing this since you can use the counter module like the guy above me and make life easier.

You can modify your code like this (Python 2.5+):
def countLetters(word):
word=list(word)
word.sort()
trans=[]
for j in word:
row=[]
a=word.count(j)
row.append(j)
row.append(a)
trans.append(tuple(row))
ans = list(set(trans))
ans.sort()
return ans

The problem is you're not accounting for the duplicate occurrence of the letters in your j loop
I think a quick fix will be to modify the iteration as for j in set(word).
This ensures each letter is iterated once.

trans = list(set(trans))
Converting a list to a set removes duplicates (which I think is what you want to do).

filtering a list of tuples in python

Am looking for a clean pythonic way of doing the following
I have a list of tuples say :
[(1,'a'), (1,'b'), (1,'c'), (2, 'd'), (5, 'e'), (5, 'f')]
I want to make a new list which discards tuples whose first key has been seen before. So the o/p for the above would be:
[(1,'c'), (2,'d'), (5, 'f')]
Thanks!

A simple way would be creating a dictionary, since it will only keep the last element with the same key:
In [1]: l = [(1,'a'), (1,'b'), (1,'c'), (2, 'd'), (5, 'e'), (5, 'f')]
In [2]: dict(l).items()
Out[2]: [(1, 'c'), (2, 'd'), (5, 'f')]
Update: As #Tadeck mentions in his comment, since the order of dictionary items is not guaranteed, you probably want to use an ordered dictionary:
from collections import OrderedDict
newl = OrderedDict(l).items()
If you actually want to keep the first tuple with the same key (and not the last, your question is ambiguous), then you could reverse the list first, add it do the dictionary and reverse the output of .items() again.
Though in that case there are probably better ways to accomplish this.

Using unique_everseen from itertools docs
from itertools import ifilterfalse
def unique_everseen(iterable, key=None):
"List unique elements, preserving order. Remember all elements ever seen."
# unique_everseen('AAAABBBCCDAABBB') --> A B C D
# unique_everseen('ABBCcAD', str.lower) --> A B C D
seen = set()
seen_add = seen.add
if key is None:
for element in ifilterfalse(seen.__contains__, iterable):
seen_add(element)
yield element
else:
for element in iterable:
k = key(element)
if k not in seen:
seen_add(k)
yield element
a = [(1,'a'), (1,'b'), (1,'c'), (2, 'd'), (5, 'e'), (5, 'f')]
print list(unique_everseen(a,key=lambda x: x[0]))
Yielding
[(1, 'a'), (2, 'd'), (5, 'e')]

a nifty trick for one liner fetishists that keeps the order in place (I admit it's not very readable but you know...)
>>> s = [(1,'a'), (1,'b'), (1,'c'), (2, 'd'), (5, 'e'), (5, 'f')]
>>> seen = set()
>>> [seen.add(x[0]) or x for x in s if x[0] not in seen]
[(1, 'a'), (2, 'd'), (5, 'e')]