Reputation: 11
I have a list of lists
list = [[-2.0, 5.0], [-1.0, -3.0], [1.0, 3.0], [2.0, -5.0]]
What I want to do is delete one the elements of same value should I divide first element with second. For example [-2.0, 5.0] = -2/5
and [2.0, -5.0] = -2/5
. I want to delete either [-2.0, 5.0]
or [2.0, -5.0]
since they produce the same value.
Any ideas?
Upvotes: 1
Views: 141
Reputation: 6994
Quick and dirty way, since keys in a dictionary are unique.
{num/denom : [num, denom] for (num, denom) in lst}.values()
In general, comparing floats using == is unreliable, it's normally better to check if they're within a tolerance. e.g.
abs(x-y) < tolerance
a more robust way would might look like the following. An else attached to a for loop just means do this unless you exited the loop early. It's quite handy. This version, however, is quadratic rather than linear time.
div = lambda x,y : x/y
unique = []
for j in range(len(lst)):
for i in range(j):
if abs( div(*lst[i])-div(*lst[j]) ) < tolerance:
break
else
unique.append(lst[j])
unique
Upvotes: 0
Reputation: 16940
Can i try like this:
Tuple could be a dictionary key, so I converted the list into tuple after changing to abs value of the list element and keeping the original list as the values.
>>> lis
[[-2.0, 5.0], [-1.0, -3.0], [1.0, 3.0], [2.0, -5.0]]
>>> dict([(tuple([abs(x[0]), abs(x[1])]), x) for x in lis]).values()
[[2.0, -5.0], [1.0, 3.0]]
>>>
Upvotes: 1
Reputation: 5373
I would first get a unique set of ratios using set
:
In [1]: lst = [[-2.0, 5.0], [-1.0, -3.0], [1.0, 3.0], [2.0, -5.0]]
In [2]: rs = list(set([ l[0]/l[1] for l in lst]))
And then just filter out the first occurance of the ratios:
In [3]: [ filter(lambda m: m[0]/m[1] == r , lst )[0] for r in rs ]
Out[3]: [[-2.0, 5.0], [-1.0, -3.0]]
In [4]:
Upvotes: 0
Reputation: 2041
If you want to eliminate all equivalent fractions (meaning [-2.0, 5.0] and [4.0, -10.0] are considered equivalent), then the following code would work.
seen = set()
for numerator, denominator in lst:
quotient = numerator / denominator
if quotient not in seen:
seen.add(quotient)
yield numerator, denominator
Otherwise, if you want the final list to contain both [-2.0, 5.0] and [4.0, -10.0]:
seen = set()
for numerator, denominator in lst:
value = (abs(numerator), abs(denominator), sign(numerator)*sign(denominator))
if value not in seen:
seen.add(value)
yield numerator, denominator
If you're writing this in Python, a language that lacks a sign
function, you'll either need to use math.copysign or (numerator > 0) ^ (denominator > 0)
where ^
is the xor operator.
This code assumes both numerator and denominator are nonzero.
If you really are keeping a list of numerator-denominator number pairs, consider storing the pairs as immutable tuples or better yet, as Python fractions.
Upvotes: 0
Reputation: 244
Assuming all your values are all floats (so you can always use float division) you can do the following:
my_list = [[-2.0, 5.0], [-1.0, -3.0], [1.0, 3.0], [2.0, -5.0]]
values_seen = []
new_list = []
for x,y in my_list:
if x/y in values_seen:
continue
else:
values_seen.append(x/y)
new_list.append([x,y])
Now the list you want will be stored as new_list
. Note that you should avoid writing a value to the keyword list
as you have above.
*Clarification, I am assuming that if you have any more than 2 values that return the same ratio (for example [[1,3],[2,6],[3,9]]
) you will want to keep only one of these.
Upvotes: 0