Remove Duplicates In Two-dimensional Array While Maintaining Sequence

I have found a lot of threads on removing duplicates in arrays but none for my specific use-case. I have a two-dimensional list that I need to remove duplicates from however I must

Solution 1:

Using set to keep track of seen items:

>>>mylist = [['Installation', '64%'], ['C2', '14%'], ['NA', '14%'], ['C2', '14%'], ['NA', '14%'], ['na', '7%']]>>>seen = set()>>>newlist = []>>>for item in mylist:...    t = tuple(item)...if t notin seen:...        newlist.append(item)...        seen.add(t)...>>>newlist
[['Installation', '64%'], ['C2', '14%'], ['NA', '14%'], ['na', '7%']]

NOTE

You need to convert a list to tuple (list is not hashable); can't add a list to set.

>>>seen = set()>>>seen.add([1,2])
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: unhashable type: 'list'
>>>seen.add(tuple([1,2]))>>>

Solution 2:

mylist = [['Installation', '64%'], ['C2', '14%'], ['NA', '14%'], ['C2', '14%'], ['NA', '14%'], ['na', '7%']]
result= []
for x in mylist:
    if x notinresult:
        result.append(x)
print result

[['Installation', '64%'], ['C2', '14%'], ['NA', '14%'], ['na', '7%']]

Solution 3:

import numpy as np :

myList = [['Installation', '64%'], ['C2', '14%'], ['NA', '14%'], ['C2', '14%'], ['NA', '14%'], ['na', '7%']]

mylist=np.unique(myList,axis=0)

print (mylist)