在熊猫日期框中读取嵌套 JSON 时遇到问题

Question

我是熊猫和蟒蛇的新手，在解决这个问题时遇到了麻烦。我有一个复杂的 nexted json 文件，我想加载到 Pandas 数据帧中。

我正在使用以下代码：

import json
import urllib.request
import pandas as pd
import numpy as np
from pandas.io.json import json_normalize

file_str = 'C:\\file.json'

with open(file_str, 'r', encoding="utf-8") as json_file:
   json_work = pd.read_json(json_file, typ='series', orient='columns')

for k, v in json_work.items():
    if v is None:
        json_work[k] = "N/A"

##df = pd.DataFrame.from_dict(json_work)

df = pd.io.json.json_normalize(json_work)

print(df)

正如它所写的那样，我收到了这个错误：

Traceback (most recent call last):
  File "C:/.....hack.py", line 18, in <module>
    df = pd.io.json.json_normalize(json_work)
  File "C:\Users\scoe\AppData\Local\Continuum\Anaconda3\lib\site-packages\pandas\io\json.py", line 708, in json_normalize
    if any([isinstance(x, dict) for x in compat.itervalues(data[0])]):
  File "C:\Users\scoe\AppData\Local\Continuum\Anaconda3\lib\site-packages\pandas\compat\__init__.py", line 175, in itervalues
    return iter(obj.values(**kw))
AttributeError: 'str' object has no attribute 'values'

if I swap these two lines to read

df = pd.DataFrame.from_dict(json_work)

##df = pd.io.json.json_normalize(json_work)

该过程成功运行，但结果看起来不像数据帧。输出显示如下：

---- more lines above this, its a sample of the middle of the output ----
hrCenterName                                          KW App Development & Maint
hrSignatureLevel                                                              1H
hrSignatureLevelTitle                             Level 1 HR Signature Authority
imName                                                                         @
imProvider                                                                   N/A
...                                                                          ...
primaryOfficePhoneExtension                                                  N/A
---- more lines after this ----

我究竟做错了什么？

Answer 1

json_normalize()期望dict or list of dicts...

尝试这个：

with open(file_str, 'r', encoding="utf-8") as json_file:
   json_work = json.load(json_file)

...

df = pd.io.json.json_normalize(json_work)