How can I loop through this dictionary instead of hardcoding the keys

Question

So far, I have this code (from cs50/pset6/DNA):

import csv

data_dict = {}
with open(argv[1]) as data_file:
    reader = csv.DictReader(data_file)
    for record          


        

Answer 1

You could also try using pandas.

Using your example data as .csv file:

pandas.read_csv('example.csv', index_col = 0).transpose().to_dict()

Outputs:

{'Alice': {'AGATC': 2, 'AATG': 8, 'TATC': 3},
 'Bob': {'AGATC': 4, 'AATG': 1, 'TATC': 5},
 'Charlie': {'AGATC': 3, 'AATG': 2, 'TATC': 5}}

index_col = 0 because you have names column which I set as index (so that later becomes top level keys in dictionary)

.transpose() so top level keys are names and not features (AGATC, AATG, etc.)

.to_dict() to transform pandas.DataFrame to python dictionary

Answer 2

You are on the right track using csv.DictReader.

import csv
from pprint import pprint

data_dict = {}

with open('fasta.csv', 'r') as f:
    reader = csv.DictReader(f)

    for record in reader:
        name = record.pop('name')
        data_dict[name] = record

pprint(data_dict)

Prints

{'Alice': {'AATG': '8', 'AGATC': '2', 'TATC': '3'},
 'Bob': {'AATG': '1', 'AGATC': '4', 'TATC': '5'},
 'Charlie': {'AATG': '2', 'AGATC': '3', 'TATC': '5'}}

Answer 3

You can loop through a dictionary in python simply enough like this:

for key in dictionary:
  print(key, dictionary[key])

Answer 4

you can simply use pandas:

import csv
import pandas as pd

data_dict = {}
with open(argv[1]) as data_file:
    reader = csv.DictReader(data_file)
    df = pd.DataFrame(reader)
    df = df.set_index('name') # set name column as index
    data_dict = df.transpose().to_dict() # transpose to make dict with indexes
   
print(data_dict)