如何在python的csv文件中處理json數據？

Question

我目前正在對kaggle中的tmdb數據集進行數據分析項目（順便說一句，我是一個完整的菜鳥，請原諒我的無知），在數據集中我遇到了以下列（第二列）：

體裁

[{"id": 28, "name": "Action"}, {"id": 12, "name": "Adventure"}, {"id": 14, "name": "Fantasy"}, {"id": 878, "name": "Science Fiction"}]
[{"id": 12, "name": "Adventure"}, {"id": 14, "name": "Fantasy"}, {"id": 28, "name": "Action"}]
[{"id": 28, "name": "Action"}, {"id": 12, "name": "Adventure"}, {"id": 80, "name": "Crime"}]
[{"id": 28, "name": "Action"}, {"id": 80, "name": "Crime"}, {"id": 18, "name": "Drama"}, {"id": 53, "name": "Thriller"}]
[{"id": 28, "name": "Action"}, {"id": 12, "name": "Adventure"}, {"id": 878, "name": "Science Fiction"}]
[{"id": 14, "name": "Fantasy"}, {"id": 28, "name": "Action"}, {"id": 12, "name": "Adventure"}]
[{"id": 16, "name": "Animation"}, {"id": 10751, "name": "Family"}]

這里的流派是列名，此列每一行中的數據都包含在[]中

我想要做的是將其轉換為以下類型的fo列（分隔符可以是'，'以外的任何東西，因為它是CSV文件：-

genres
Action;Adventure;Fantasy;Fiction;
Adventure;Fantasy;Action;
Action;Adventure;Crime;
And so on...

這是我的代碼：-

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import csv

reviews = pd.read_csv("C:/Users/HP/Desktop/data science project/tmpd second attempt/2. prepared data/tmdb_5000_movies.csv")

print(reviews["genres"]);

PS：-這是我的第一個項目，所以真的不知道該如何處理

Answer 1

那不是一個csv文件。 這是一個json文件。 所以如果你改變

reviews = pd.read_csv("C:/Users/HP/Desktop/data science project/tmpd second attempt/2. prepared data/tmdb_5000_movies.csv")

至

reviews = pd.read_json("C:/Users/HP/Desktop/data science project/tmpd second attempt/2. prepared data/tmdb_5000_movies.csv")

它應該工作。

哦，您可能想將文件擴展名從.csv更改為.json

從op重新評論：

這段代碼適用於您的示例，有點hack，但最好的是我可以快速做到：

import ast
with open("untitled.csv") as fi:
    data=fi.readlines()
cleaned = []
for da in data:
    l = da.strip("[").strip('\n').strip(']').split(', {')
    for a in l:
        pre=''
        if not a.startswith("{"):
            pre='{'
        cleaned.append(ast.literal_eval(pre+a))
df = pd.DataFrame(cleaned)