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python - 值错误 : Mixing dicts with non-Series may lead to ambiguous ordering

转载 作者:太空宇宙 更新时间:2023-11-04 04:07:24 26 4
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import json
import pandas as pd

data = json.load(open('drug-label-0001-of-0008.json'))
df = pd.DataFrame(data)
import pandas as pd
pd_example = pd.read_json('some_json_file.json')
  • 我的代码类似,但出现以下错误:
import pandas as pd
df = pd.read_json('drug-label-0008-of-0008.json')
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-23-77b3c3e486fc> in <module>
----> 1 df = pd.read_json('drug-label-0008-of-0008.json')

~/anaconda3/lib/python3.7/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)
425 return json_reader
426
--> 427 result = json_reader.read()
428 if should_close:
429 try:

~/anaconda3/lib/python3.7/site-packages/pandas/io/json/json.py in read(self)
535 )
536 else:
--> 537 obj = self._get_object_parser(self.data)
538 self.close()
539 return obj

~/anaconda3/lib/python3.7/site-packages/pandas/io/json/json.py in _get_object_parser(self, json)
554 obj = None
555 if typ == 'frame':
--> 556 obj = FrameParser(json, **kwargs).parse()
557
558 if typ == 'series' or obj is None:

~/anaconda3/lib/python3.7/site-packages/pandas/io/json/json.py in parse(self)
650
651 else:
--> 652 self._parse_no_numpy()
653
654 if self.obj is None:

~/anaconda3/lib/python3.7/site-packages/pandas/io/json/json.py in _parse_no_numpy(self)
869 if orient == "columns":
870 self.obj = DataFrame(
--> 871 loads(json, precise_float=self.precise_float), dtype=None)
872 elif orient == "split":
873 decoded = {str(k): v for k, v in compat.iteritems(

~/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py in __init__(self, data, index, columns, dtype, copy)
390 dtype=dtype, copy=copy)
391 elif isinstance(data, dict):
--> 392 mgr = init_dict(data, index, columns, dtype=dtype)
393 elif isinstance(data, ma.MaskedArray):
394 import numpy.ma.mrecords as mrecords

~/anaconda3/lib/python3.7/site-packages/pandas/core/internals/construction.py in init_dict(data, index, columns, dtype)
210 arrays = [data[k] for k in keys]
211
--> 212 return arrays_to_mgr(arrays, data_names, index, columns, dtype=dtype)
213
214

~/anaconda3/lib/python3.7/site-packages/pandas/core/internals/construction.py in arrays_to_mgr(arrays, arr_names, index, columns, dtype)
49 # figure out the index, if necessary
50 if index is None:
---> 51 index = extract_index(arrays)
52 else:
53 index = ensure_index(index)

~/anaconda3/lib/python3.7/site-packages/pandas/core/internals/construction.py in extract_index(data)
318
319 if have_dicts:
--> 320 raise ValueError('Mixing dicts with non-Series may lead to '
321 'ambiguous ordering.')
322

ValueError: Mixing dicts with non-Series may lead to ambiguous ordering.

最佳答案

您可以只使用 python 内置的 JSON 处理功能:

import json

with open("drug-label-0008-of-0008.json", "r") as read_file:
data = json.load(read_file)

“当 json 文件中有单个 JSON 结构时,请使用 read_json,因为它会将 JSON 直接加载到 DataFrame 中。使用 json.loads,您必须将其加载到 python 字典/列表中,然后再加载到DataFrame - 一个不必要的两步过程。Pandas vs JSON library to read a JSON file in Python "

关于python - 值错误 : Mixing dicts with non-Series may lead to ambiguous ordering,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/57018859/

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