如何在 python 中处理 csv 文件中的 json 数据？

Question

我目前正在 kaggle 中做一个数据分析项目on the tmdb dataset（顺便说一句，我是一个完全的菜鸟，所以请原谅我的无知），我在数据集中遇到了以下列（第 2 列）：- `

类型

[{"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"}]

这里的genres是列名，该列每一行的数据用[]括起来

我想要做的是将它转换为以下类型的 fo 列（分隔符可以是除 ',' 之外的任何东西，因为它是一个 CSV 文件：-

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

这是我的代码：-

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:-这是我的第一个项目所以真的不知道如何处理这个

Answer 1

这不是 csv 文件。它是一个 json 文件。所以如果你改变

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

到

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

它应该可以工作。

哦，您可能想将文件扩展名从 .csv 更改为 .json

来自op的重新评论：

此代码适用于您的示例，有点小技巧，但最好我能快速完成：

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)