Question

我正在尝试创建一个简单的应用程序，该应用程序将从歌曲中获取歌词并保存它们，我正在使用lyricsgenius创建一个JSON文件，其中包含我所请求的歌曲的歌词，我不知道如何解析JSON文件中的数据。我尝试按照this教程进行操作，但是在开始使用Pandas时遇到错误。

创建JSON文件的代码

import lyricsgenius as genius
import os

os.getcwd()

geniusCreds = "qlDFcHWqCRpSfq0pVTctt1ZhDc4wHF6lpP5WGODh4iVQB7yTPn7Hw6SjWAFiCdxa"
artist_name = "Steely Dan"

api = genius.Genius(geniusCreds)
artist = api.search_artist(artist_name, max_songs=3)

artist.save_lyrics()

用于从JSON文件读取数据的代码

import pandas as pd
import os


Artist = pd.read_json("Lyrics_SteelyDan.json")

df = pd.DataFrame.from_dict(Artist['songs'])

df.head

每当我运行上面的代码时，如果出现错误，将非常感谢您提供有关如何解决错误或更好的解析数据方法的帮助。

 "c:/Users/Admin/Desktop/Steely Dan/Data.py"
Traceback (most recent call last):
  File "c:/Users/Admin/Desktop/Steely Dan/Data.py", line 5, in <module>
    Artist = pd.read_json("Lyrics_SteelyDan.json")
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\io\json\_json.py", line 592, in read_json
    result = json_reader.read()
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\io\json\_json.py", line 717, in read
    obj = self._get_object_parser(self.data)
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\io\json\_json.py", line 739, in _get_object_parser
    obj = FrameParser(json, **kwargs).parse()
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\io\json\_json.py", line 849, in parse
    self._parse_no_numpy()
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\io\json\_json.py", line 1093, in _parse_no_numpy
    loads(json, precise_float=self.precise_float), dtype=None
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\frame.py", line 411, in __init__
    mgr = init_dict(data, index, columns, dtype=dtype)
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\internals\construction.py", line 257, in init_dict
    return arrays_to_mgr(arrays, data_names, index, columns, dtype=dtype)
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\internals\construction.py", line 77, in arrays_to_mgr
    index = extract_index(arrays)
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python37-32\lib\site-packages\pandas\core\internals\construction.py", line 368, in extract_index
    raise ValueError("arrays must all be same length")
ValueError: arrays must all be same length

Answer 1

如果行的长度不同，那么原始代码将失败。

尝试一下：

import json
from pandas.io.json import json_normalize

with open('Lyrics_SteelyDan.json') as json_data:
    data = json.load(json_data)

df = pd.DataFrame(data['songs'])
df['lyrics']

另请阅读：https://hackersandslackers.com/json-into-pandas-dataframes/

熊猫和JSON ValueError：数组的长度必须相同

1 个答案: