如何在 python 中读取 txt 文件数据并转换成嵌套字典

Question

I have this txt file but I'm having trouble in converting it into a nested dictionary in python. The txt file only has the values of the pokemon but are missing the keys such as 'quantity' or 'fee'. Below is the content in the txt file. (I have the ability to change the txt file if needed)

pokemon info

charmander,3,100,fire
squirtle,2,50,water
bulbasaur,5,25,grass
gyrados,1,1000,water flying

This is my desired dictionary:

pokemon = {
         'charmander':{'quantity':3,'fee':100,'powers':['fire']},
         'squirtle':{'quantity':2,'fee':50,'powers':['water']},
         'bulbasaur':{'quantity':5,'fee':25,'powers':['grass']},
         'gyrados':{'quantity':1,'fee':1000,'powers':['water','flying']}
      }

Need some guidance here, any help is appreciated:)

Answer 1

Convert text file to lines, then process each line using "," delimiters. For powers, split the string again using " " delimiter. Then just package each extracted piece of information into your dict structure as below.

with open('pokemonInfo.txt') as f:
    data = f.readlines()

dict = {}
for r in data:
    fields = r.split(",")
    pName = fields[0]
    qty = fields[1]
    fee = fields[2]
    powers = fields[3]

    dict[pName] = {"quantity": qty, "fee": fee, "powers": [p.strip() for p in powers.split(" ")]}

for record in dict.items():
    print(record)