【发布时间】：2021-12-25 14:51:39
【问题描述】：
我真的是 python 的初学者，但我正在尝试使用 IBM 的情感分析器来制作数据集。我得到一个 JSON 响应，我想将它放入一个表中。到目前为止，我所拥有的是：
response = natural_language_understanding.analyze(
text = df_text,
features=Features(sentiment=SentimentOptions(targets=['Pericles']))).get_result()
print(json.dumps(response, indent=2))
respj = json.dumps(response['sentiment'])
respj
打印出来的
'{"targets": [{"text": "Pericles", "score": -0.939436, "label": "negative"}], "document": {"score": -0.903556, "label": "negative"}}'
现在正是在这一点上，我真的很想用这些数据制作一个熊猫表。理想情况下，我希望上述所有信息的格式都像 -> Text |文字评分 |文件分数
我真的不需要正面或负面的标签，但拥有它并没有什么坏处。我将如何做到这一点？现在当我尝试时
json_df = pd.read_json(respj)
json_df.head()
我明白了
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-20-b06d8a1caf3f> in <module>
----> 1 json_df = pd.read_json(respj)
2 json_df.head()
/opt/conda/envs/Python-3.8-main/lib/python3.8/site-packages/pandas/util/_decorators.py in wrapper(*args, **kwargs)
212 else:
213 kwargs[new_arg_name] = new_arg_value
--> 214 return func(*args, **kwargs)
215
216 return cast(F, wrapper)
/opt/conda/envs/Python-3.8-main/lib/python3.8/site-packages/pandas/io/json/_json.py in read_json(path_or_buf, orient, typ, dtype, convert_axes, convert_dates, keep_default_dates, numpy, precise_float, date_unit, encoding, lines, chunksize, compression)
606 return json_reader
607
--> 608 result = json_reader.read()
609 if should_close:
610 filepath_or_buffer.close()
/opt/conda/envs/Python-3.8-main/lib/python3.8/site-packages/pandas/io/json/_json.py in read(self)
729 obj = self._get_object_parser(self._combine_lines(data.split("\n")))
730 else:
--> 731 obj = self._get_object_parser(self.data)
732 self.close()
733 return obj
/opt/conda/envs/Python-3.8-main/lib/python3.8/site-packages/pandas/io/json/_json.py in _get_object_parser(self, json)
751 obj = None
752 if typ == "frame":
--> 753 obj = FrameParser(json, **kwargs).parse()
754
755 if typ == "series" or obj is None:
/opt/conda/envs/Python-3.8-main/lib/python3.8/site-packages/pandas/io/json/_json.py in parse(self)
855
856 else:
--> 857 self._parse_no_numpy()
858
859 if self.obj is None:
/opt/conda/envs/Python-3.8-main/lib/python3.8/site-packages/pandas/io/json/_json.py in _parse_no_numpy(self)
1086
1087 if orient == "columns":
-> 1088 self.obj = DataFrame(
1089 loads(json, precise_float=self.precise_float), dtype=None
1090 )
/opt/conda/envs/Python-3.8-main/lib/python3.8/site-packages/pandas/core/frame.py in __init__(self, data, index, columns, dtype, copy)
433 )
434 elif isinstance(data, dict):
--> 435 mgr = init_dict(data, index, columns, dtype=dtype)
436 elif isinstance(data, ma.MaskedArray):
437 import numpy.ma.mrecords as mrecords
/opt/conda/envs/Python-3.8-main/lib/python3.8/site-packages/pandas/core/internals/construction.py in init_dict(data, index, columns, dtype)
252 arr if not is_datetime64tz_dtype(arr) else arr.copy() for arr in arrays
253 ]
--> 254 return arrays_to_mgr(arrays, data_names, index, columns, dtype=dtype)
255
256
/opt/conda/envs/Python-3.8-main/lib/python3.8/site-packages/pandas/core/internals/construction.py in arrays_to_mgr(arrays, arr_names, index, columns, dtype)
62 # figure out the index, if necessary
63 if index is None:
---> 64 index = extract_index(arrays)
65 else:
66 index = ensure_index(index)
/opt/conda/envs/Python-3.8-main/lib/python3.8/site-packages/pandas/core/internals/construction.py in extract_index(data)
366
367 if have_dicts:
--> 368 raise ValueError(
369 "Mixing dicts with non-Series may lead to ambiguous ordering."
370 )
ValueError: Mixing dicts with non-Series may lead to ambiguous ordering
如果有人能给我一些关于如何制作我正在尝试制作的桌子的提示，我将不胜感激。另外，如果有人能解释我现在遇到的错误，那也太好了。我想我得到了基本前提，这是因为 JSON 中已经有两个不兼容的“表”。感谢您的帮助。
【问题讨论】：