Reputation:
I am new to python, and have a question regarding store columns in lists and converting them to dictionary as follow:
I have a data in two column shown below, with nodes(N) and edges(E), and I want to first make a list of these two columns and then make a dictionary of those two lists as
{1:[9,2,10],2:[10,111,9],3:[166,175,7],4:[118,155,185]}
.
How can I do that? Thanks.
N E
1 9
1 2
1 10
2 10
2 111
2 9
3 166
3 175
3 7
4 118
4 155
4 185
Upvotes: 2
Views: 2805
Reputation: 813
Here is the short answer:
l1 = [1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4]
l2 = [9, 2, 10, 10, 111, 9, 166, 175, 7, 118, 155,185]
d = dict((i,[j for j,k in zip(l2,l1) if k == i]) for i in frozenset(l1))
Upvotes: 0
Reputation: 176
The following does not have a for loop over the edges. That iteration is handled internally by Python using built-in methods, and it may be faster for large graphs:
import itertools
import operator
N = [ 1, 1, 1, 2, 2]
E = [ 2, 3, 5, 4, 5]
iter_g = itertools.groupby(zip(N,E), operator.itemgetter(0))
dict_g = dict( (v, map(operator.itemgetter(1), n)) for v,n in iter_g )
Also, if you only need the data once, you could just use iter_g and not construct the dictionary.
Upvotes: 2
Reputation: 123541
This does exactly what you wanted:
import collections
N = []
E = []
with open('edgelist.txt', 'r') as inputfile:
inputfile.readline() # skip header line
for line in inputfile:
n,e = map(int,line.split())
N.append(n)
E.append(e)
dct = collections.defaultdict(list)
for n,e in zip(N,E):
dct[n].append(e)
dct = dict(dct)
print dct
# {1: [9, 2, 10], 2: [10, 111, 9], 3: [166, 175, 7], 4: [118, 155, 185]}
Upvotes: 1
Reputation: 613
a bit slower than unutbu's version, but shorter :)
result = { }
for n, e in ( line.split( ) for line in open( 'r.txt' ) ):
result[ n ] = result.setdefault( n, [ ] ) + [ e ]
Upvotes: 1
Reputation: 66739
yourDict={}
for line in file('r.txt', 'r'):
k , v = line.split()
if k in yourDict.keys():
yourDict[k].append(v)
else:
yourDict[k] = [v]
print yourDict
Output: (You can always remove N:E in the last)
{'1': ['9', '2', '10'], '3': ['166', '175', '7'], '2': ['10', '111', '9'], '4': ['118', '155', '185'], 'N': ['E']}
Upvotes: 2
Reputation: 880807
A defaultdict is a subclass of dict
which would be useful here:
import collections
result=collections.defaultdict(list)
for n,e in zip(N,E):
result[n].append(e)
Upvotes: 6