问答 百科手机端

无法使用python读取json文件。获取类型错误:json对象为“ TextIOWrapper”

2023-04-26 12:25

json.load()用于加载文件。json.loads()与字符串一起使用。@H_404_5@

我正在尝试从json文件读取。

这是我创建文件的方式:

import requests
import json
import time
from pprint import pprint

BASE_URL = "https://www.wikiart.org/en/api/2/UpdatedArtists"
artist_json_data = requests.get(BASE_URL).json()

with open('artistdata.json','w') as outfile:
    while artist_json_data['hasMore']:
        print(artist_json_data['paginationToken'])
        url = BASE_URL + "?paginationToken=" +artist_json_data['paginationToken']
        artist_json_data = requests.get(url).json()
        json.dump(artist_json_data,outfile,indent=4)
        time.sleep(1)

这是我输出的开始:

{
    "data": [
        {
            "id": "57726da5edc2cb3880b4ca54","artistName": "Paul Feeley","url": "paul-feeley","lastNameFirst": "Feeley Paul","birthDay": "/Date(-1893456000000)/","deathDay": "/Date(-126230400000)/",

当我尝试使用以下代码读取同一文件时:

from pprint import pprint

with open('artistdata.json','r',encoding='utf-8') as data_file:    
    data = json.loads(data_file)
    pprint(data)

我得到错误

TypeError: the JSON object must be str,bytes or bytearray,not 'TextIOWrapper'

我不明白,因为我可以像往常一样崇高地打开文件。我该如何处理?

使用以下代码解决了该问题:

问题是我混合了转储和负载。现在我正在使用转储和加载

class Wikiart:
    '''Class to access wikiart.org Data'''
    def __init__(self):
        self.BASE_URL = "https://www.wikiart.org/en/"
        self.BASE_URL_API = self.BASE_URL + "api/2/"
        self.BASE_URL_MOVEMENT = self.BASE_URL + 'artists-by-art-movement/'
        self.ARTIST_DATA_URL = self.BASE_URL_API + "UpdatedArtists"

    def write_artist_data_into_json_file(self):
            artists = requests.get(ARTIST_DATA_URL).json()
            all_artists = artists['data']

            with open('artistdata.json','w') as outfile:
                while artists['hasMore']:
                    print('fetching next: pagination token',artists['paginationToken'])
                    url = BASE_URL + "?paginationToken=" + artists['paginationToken']
                    artists_next_page = requests.get(url).json()
                    next_artists = artists_next_page['data']
                    time.sleep(0.25)
                    all_artists = all_artists + next_artists
                    artists = artists_next_page
                json.dump(all_artists,indent=4)

from pprint import pprint

with open('artistdata.json',encoding='utf-8') as data_file:    
    data = json.load(data_file)
    pprint(data)

热门