Sorting and Grouping Nested Lists in Python

If I understand your question correctly, the following code should do the job:

l = [
 ['4', '21', '1', '14', '2008-10-24 15:42:58'], 
 ['3', '22', '4', '2somename', '2008-10-24 15:22:03'], 
 ['5', '21', '3', '19', '2008-10-24 15:45:45'], 
 ['6', '21', '1', '1somename', '2008-10-24 15:45:49'], 
 ['7', '22', '3', '2somename', '2008-10-24 15:45:51']
]

def compareField(field):
   def c(l1,l2):
      return cmp(l1[field], l2[field])
   return c

# Use compareField(1) as the ordering criterion, i.e. sort only with
# respect to the 2nd field
l.sort(compareField(1))
for row in l: print row

print
# Select only those sublists for which 4th field=='2somename'
l2somename = [row for row in l if row[3]=='2somename']
for row in l2somename: print row

Output:

['4', '21', '1', '14', '2008-10-24 15:42:58']
['5', '21', '3', '19', '2008-10-24 15:45:45']
['6', '21', '1', '1somename', '2008-10-24 15:45:49']
['3', '22', '4', '2somename', '2008-10-24 15:22:03']
['7', '22', '3', '2somename', '2008-10-24 15:45:51']

['3', '22', '4', '2somename', '2008-10-24 15:22:03']
['7', '22', '3', '2somename', '2008-10-24 15:45:51']

If you assigned it to var “a”…

python 2.x:

#1:

a.sort(lambda x,y: cmp(x[1], y[1]))

#2:

filter(lambda x: x[3]=="2somename", a)

python 3:

#1:

a.sort(key=lambda x: x[1])

Use a function to reorder the list so that I can group by each item in the list. For example I’d like to be able to group by the second column (so that all the 21’s are together)

Lists have a built in sort method and you can provide a function that extracts the sort key.

>>> import pprint
>>> l.sort(key = lambda ll: ll[1])
>>> pprint.pprint(l)
[['4', '21', '1', '14', '2008-10-24 15:42:58'],
 ['5', '21', '3', '19', '2008-10-24 15:45:45'],
 ['6', '21', '1', '1somename', '2008-10-24 15:45:49'],
 ['3', '22', '4', '2somename', '2008-10-24 15:22:03'],
 ['7', '22', '3', '2somename', '2008-10-24 15:45:51']]

Use a function to only display certain values from each inner list. For example i’d like to reduce this list to only contain the 4th field value of ‘2somename’

This looks like a job for list comprehensions

>>> [ll[3] for ll in l]
['14', '2somename', '19', '1somename', '2somename']

If you’ll be doing a lot of sorting and filtering, you may like some helper functions.

m = [
 ['4', '21', '1', '14', '2008-10-24 15:42:58'], 
 ['3', '22', '4', '2somename', '2008-10-24 15:22:03'], 
 ['5', '21', '3', '19', '2008-10-24 15:45:45'], 
 ['6', '21', '1', '1somename', '2008-10-24 15:45:49'], 
 ['7', '22', '3', '2somename', '2008-10-24 15:45:51']
]

# Sort and filter helpers.
sort_on   = lambda pos:     lambda x: x[pos]
filter_on = lambda pos,val: lambda l: l[pos] == val

# Sort by second column
m = sorted(m, key=sort_on(1))

# Filter on 4th column, where value = '2somename'
m = filter(filter_on(3,'2somename'),m)

It looks a lot like you’re trying to use a list as a database.

Nowadays Python includes sqlite bindings in the core distribution. If you don’t need persistence, it’s really easy to create an in-memory sqlite database (see How do I create a sqllite3 in-memory database?).

Then you can use SQL statements to do all this sorting and filtering without having to reinvent the wheel.

For part (2), with x being your array, I think you want,

[y for y in x if y[3] == '2somename']

Which will return a list of just your data lists that have a fourth value being ‘2somename’… Although it seems Kamil is giving you the best advice with going for SQL…

You’re simply creating indexes on your structure, right?

>>> from collections import defaultdict
>>> def indexOn( things, pos ):
...     inx= defaultdict(list)
...     for t in things:
...             inx[t[pos]].append(t)
...     return inx
... 
>>> a=[
...  ['4', '21', '1', '14', '2008-10-24 15:42:58'], 
...  ['3', '22', '4', '2somename', '2008-10-24 15:22:03'], 
...  ['5', '21', '3', '19', '2008-10-24 15:45:45'], 
...  ['6', '21', '1', '1somename', '2008-10-24 15:45:49'], 
...  ['7', '22', '3', '2somename', '2008-10-24 15:45:51']
... ]

Here’s your first request, grouped by position 1.

>>> import pprint
>>> pprint.pprint( dict(indexOn(a,1)) )
{'21': [['4', '21', '1', '14', '2008-10-24 15:42:58'],
        ['5', '21', '3', '19', '2008-10-24 15:45:45'],
        ['6', '21', '1', '1somename', '2008-10-24 15:45:49']],
 '22': [['3', '22', '4', '2somename', '2008-10-24 15:22:03'],
        ['7', '22', '3', '2somename', '2008-10-24 15:45:51']]}

Here’s your second request, grouped by position 3.

>>> dict(indexOn(a,3))
{'19': [['5', '21', '3', '19', '2008-10-24 15:45:45']], '14': [['4', '21', '1', '14', '2008-10-24 15:42:58']], '2somename': [['3', '22', '4', '2somename', '2008-10-24 15:22:03'], ['7', '22', '3', '2somename', '2008-10-24 15:45:51']], '1somename': [['6', '21', '1', '1somename', '2008-10-24 15:45:49']]}
>>> pprint.pprint(_)
{'14': [['4', '21', '1', '14', '2008-10-24 15:42:58']],
 '19': [['5', '21', '3', '19', '2008-10-24 15:45:45']],
 '1somename': [['6', '21', '1', '1somename', '2008-10-24 15:45:49']],
 '2somename': [['3', '22', '4', '2somename', '2008-10-24 15:22:03'],
               ['7', '22', '3', '2somename', '2008-10-24 15:45:51']]} 

You can use for loop to sort and group the elements in the nested list. The code will be:

l = [['3', '21', '1', '14', '2008-10-24 15:42:58'], 
['4', '22', '4','2somename','2008-10-24 15:22:03'], 
['5', '21', '3', '19', '2008-10-24 15:45:45'], 
['6', '21', '1', '1somename', '2008-10-24 15:45:49'], 
['7', '35', '3','2somename', '2008-10-24 15:45:51']]
col = int(input("Enter the column to search(1-5):"))
val = str(input("Enter the element to group by:"))
val1=[]
print('Searching...')
for x in l:
    cmp=x[col-1]
    if cmp==val:
        val1=x
        print(val1)
emp=[]
if val1 == emp:
    print('No search result. Please Try Again!!')

The output would look like this:

Enter the column to search(1-5):4
Enter the element to group by:2somename
Searching...
['4', '22', '4', '2somename', '2008-10-24 15:22:03']
['7', '35', '3', '2somename', '2008-10-24 15:45:51']