Reputation: 1
myDict = {'Name':[],'Tribe':[],'Town':[],'Username':[]}
How to import data from CSV file into a list inside a dictionary myDict
in python?
a.csv
Daniel,Bataknese,Indramayu,dan.iel
Melissa,Javanese,Jakarta,melissaaaa
Vicky,Bataknese,Jakarta,vic.ky
Winona,Javanese,Batam,weenonuhh
myDict should be like this:
myDict = {'Name': ['Daniel', 'Melissa', 'Vicky', 'Winona'],
'Tribe': ['Bataknese', 'Javanese', 'Bataknese', 'Javanese'],
'Town': ['Indramayu', 'Jakarta', 'Jakarta', 'Batam'],
'Username': ['dan.iel', 'melissaaaa', 'vic.ky', 'weenonuhh']}
Upvotes: 0
Views: 144
Reputation: 558
I have got a method you can do it an easy way using pandas. The plus point, it works for any kind of data frame, not just the data frame from the CSV file of your case.
import pandas as pd
df = pd.read_csv('a.csv') # read the csv file
result = df.to_dict('list') # convert the dataframe to a dictionary with columns as key and values as list.
print(result)
Upvotes: 0
Reputation: 124
you can use pandas also.example like this
import pandas as pd
df = pd.read_csv('test.csv', header=None)
for row in df:
myDict = {'Name':df[0].tolist(), 'Tribe':df[1].tolist(),
'Town':df[2].tolist(),'Username':df[3].tolist()}
print(myDict)
Upvotes: 0
Reputation: 3176
import pandas as pd
df=pd.read('data.csv',names=['a','b','c','d'])
myDict={}
myDict['Name']=df.a
myDict['Tribe']=df.b
myDict['Town']=df.c
myDict['Username']=df.d
Upvotes: 0
Reputation: 3536
You can use the built in csv
module.
import csv
myDict = {'Name':[],'Tribe':[],'Town':[],'Username':[]}
with open('file.csv') as csvDataFile:
csvReader = csv.reader(csvDataFile)
for row in csvReader:
myDict['Name'].append(row[0])
myDict['Tribe'].append(row[1])
myDict['Town'].append(row[2])
myDict['Username'].append(row[3])
Upvotes: 1