How to write nested dictionaries to a CSV file

+1 vote

I am facing difficulty in writing a nested dictionary to a CSV file. Below is the dictionary: Score = {'Student-1': {'1st Term': 0, '2nd Term': 0, '3rd Term': 0, '4th Term': 0}, 'ge60le90': {'1st Term': 4, '2nd Term': 0, '3rd Term': 0, '4th Term': 0}, 'gt90': {'1st Term': 0, '2nd Term': 1, '3rd Term': 2, '4th Term': 1} } I want to write this dictionary in a CSV format, consider the below example:

Apr 15, 2018 in Python by ana1504.k
• 7,910 points
27,792 views

4 answers to this question.

+1 vote

You can use Pandas Module, consider the code below:
import pandas as pd

Score = {'Student-1': {'1st Term': 0, '2nd Term': 0, '3rd Term': 0, '4th Term': 0}, 'Student-2': {'1st Term': 4, '2nd Term': 0, '3rd Term': 0, '4th Term': 0}, 'Student-3': {'1st Term': 0, '2nd Term': 1, '3rd Term': 2, '4th Term': 1} }

df = pd.DataFrame(Score)

df = df.rename(columns={'Student-1': 'Good',
'Student-2': 'Medium',
'Student-3': 'Bad'})

df.to_csv('student.csv', index=False)

answered Apr 15, 2018 by anto.trigg4
• 3,440 points
+1 vote
import csv
import itertools
import sys

fields = [ 'org', '2015', '2014', '2013' ]
dw     = { 'orgname1': { '2015' : 2, '2014' : 1, '2013' : 1 },
           'orgname2': { '2015' : 1, '2014' : 2, '2013' : 3 },
           'orgname3': { '2015' : 1, '2014' : 3, '2013' : 1 }
        }

w = csv.DictWriter( sys.stdout, fields )
for key,val in sorted(dw.items()):
    row = {'org': key}
    row.update(val)
    w.writerow(row)
answered Oct 18, 2018 by Roshan
+1 vote
import csv
import itertools

fields = [ 'org', '2015', '2014', '2013' ]
dw     = { 'orgname1': { '2015' : 2, '2014' : 1, '2013' : 1 },
           'orgname2': { '2015' : 1, '2014' : 2, '2013' : 3 },
           'orgname3': { '2015' : 1, '2014' : 3, '2013' : 1 }
        }

with open("test_output.csv", "wb") as f:
    w = csv.DictWriter(f, fields)
    w.writeheader()
    for k in dw:
        w.writerow({field: dw[k].get(field) or k for field in fields})

Output:

org,2015,2014,2013
orgname1,2,1,1
orgname3,1,3,1
orgname2,1,2,3
answered Oct 18, 2018 by helena

If the value is 0 it is replacing the value 0 with the 'org' value.

Use this data set to test it:

dw     = { 'orgname1': { '2015' : 0, '2014' : 0, '2013' : 1 },
           'orgname2': { '2015' : 1, '2014' : 0, '2013' : 3 },
           'orgname3': { '2015' : 1, '2014' : 3, '2013' : 1 }
        }
+1 vote

Using DictWriter there is no need in sorting the fields in advance, since w.writerow() will assure the correct order. But it does make sense to sort the items themselves.

So putting together all the above suggestions and picking the best of each, i would come up with following code:

import csv
import itertools

def mergedict(a,b):
    a.update(b)
    return a

fields = [ 'org', '2015', '2014', '2013' ]
dw     = { 'orgname1': { '2015' : 2, '2014' : 1, '2013' : 1 },
           'orgname2': { '2015' : 1, '2014' : 2, '2013' : 3 },
           'orgname3': { '2015' : 1, '2014' : 3, '2013' : 1 }
        }

with open("test_output.csv", "wb") as f:
    w = csv.DictWriter( f, fields )
    w.writeheader()
    for k,d in sorted(dw.items()):
        w.writerow(mergedict({'org': k},d))
answered Oct 18, 2018 by Richard William

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