Make Dictionary From Csv File Columns
i am new to the concept of dictionaries in python. I have a csv file with multiple columns and i want to create a dictionary such that keys are taken from 1st column and values fro
Solution 1:
if __name__=="__main__":
mydict = {}
reader = csv.reader(open("file.csv", "rb"))
for rows in reader:
k = rows[0]
v = rows[1]
mydict[k] = v
print mydict
Here:
mydict = {k:v}
You were making new dictionary in every iteration, and the previous data has been lost.
Update:
You can make something like this:
mydict = {}
L = [(1, 2), (2, 4), (1, 3), (3, 2), (3, 4)]
for el in L:
k, v = el
if not k in mydict:
mydict[k] = [v]
else:
mydict[k].append(v)
print mydict
>>>
{1: [2, 3], 2: [4], 3: [2, 4]}
This way, each value of the same key will be stored
Your code will be:
if __name__=="__main__":
mydict = {}
reader = csv.reader(open("file.csv", "rb"))
for i, rows in enumerate(reader):
if i == 0: continue
k = rows[0]
v = rows[1]
if not k in mydict:
mydict[k] = [v]
else:
mydict[k].append(v)
print mydict
Update2: You mean?
for k, v in mydict.items():
print "%s: %s" % (k, v)
>>>
1: [2, 3]
2: [4]
3: [2, 4]
Update3:
This should work:
if __name__=="__main__":
mydict = {}
reader = csv.reader(open("file.csv", "rb"))
for i, rows in enumerate(reader):
if i == 0: continue
k = rows[0]
v = rows[1]
if not k in mydict:
mydict[k] = [v]
else:
mydict[k].append(v)
print mydict
Solution 2:
You are creating a new dict and overwriting the old one each iteration. @develerx's answer fixes this problem. I just wanted to point an easier way, using dict comprehensions:
Assuming the csv file contains two columns.
if __name__=="__main__":
reader = csv.reader(open("file.csv", "rb"))
my_dict = {k: v for k, v in reader}
print mydict
If you are using older version(older than 2.7 I think), you can't use dict comprehensions, just use the dict function then:
my_dict = dict((k, v) for k, v in reader)
Edit: And I just thought that; my_dict = dict(reader)
could also work.
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