How to read Dictionary List from csv file in Python?

Question

I used following code to write a dictionary to a csv file.

with open('dict.csv', 'w') as csv_file:
    writer = csv.writer(csv_file)
    for key, value in dict.items():
        writer.writerow([key, value])

In "dict.csv" file:

accord [16, 32, 49]
according [8, 37, 49, 50]
accordingly [8, 37, 50]
account [8, 10, 16, 19, 20, 23, 25, 33, 34, 47]

where accord, according, accordingly and account are the keys and [16, 32, 49], [8, 37, 49, 50], [8, 37, 50], [8, 10, 16, 19, 20, 23, 25, 33, 34, 47] are theri values respectively.
Example:
dict={'accord':[16, 32, 49]}

Now I want to read it back to dict. How To do that?

with open('dict.csv','r') as csv_file:
    reader = csv.reader(csv_file)
    dict ={rows[0]:rows[1] for rows in reader}

I tried using this code but it's giving index error.

IndexError: list index out of range.

and then I use the following code which is giving me this error.
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x97 in position 5: invalid start byte.

dict={}
csv_file=pd.read_csv('dict.csv')
for index, row in csv_file.iterrows():
    dict[row[0]]= row[[1]].tolist()

Answer 1

You essentially created a self-desinged csv format. You can read your input back in using string manipulation:

with open('dict.csv', 'w', newline="") as csv_file:
    csv_file.write("""accord [16, 32, 49] 
according [8, 37, 49, 50] 
accordingly [8, 37, 50] 
account [8, 10, 16, 19, 20, 23, 25, 33, 34, 47]""")

data = {}
with open('dict.csv', 'r') as csv_file:
    for line in csv_file:
        key, *values = line.replace("[","").replace("]","").replace(",","").split()
        try:
            data[key] = list(map(int,values))  # try to convert to int list
        except ValueError:
            data[key] = values                 # else use string list
print(data)

Output:

{'accord': [16, 32, 49], 
 'according': [8, 37, 49, 50], 
 'accordingly': [8, 37, 50], 
 'account': [8, 10, 16, 19, 20, 23, 25, 33, 34, 47]}