这是我的json文件：
(base) -bash-4.2$ cat busco_genome/busco_output/run_basidiomycota_odb10/short_summary.json
{"one_line_summary": "C:82.7%[S:82.7%,D:0.0%],F:4.8%,M:12.5%,n:1764", "C": 1459, "S": 1459, "D": 0, "F": 84, "M": 221, "input_file": "/local/ifs3_scratch/CORE/jespinoz/VEBA/veba_output/binning/eukaryotic/S005_R2_POST-PE-N728-S516-1_S23/intermediate/3__metaeuk/genomes/S005_R2_POST-PE-N728-S516-1_S23__METABAT2__E.1__bin.10.fa", "mode": "genome", "gene_predictor": "metaeuk", "dataset": "/usr/local/scratch/CORE/jespinoz/db/busco/odb10/lineages/basidiomycota_odb10", "dataset_creation_date": "2020-09-10", "dataset_number_species": "133", "dataset_total_buscos": "1764"}
出于某种原因，当我试图用熊猫阅读时，它不起作用
>>> pd.read_json("busco_genome/busco_output/run_basidiomycota_odb10/short_summary.json")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/devel/ANNOTATION/jespinoz/anaconda3/lib/python3.8/site-packages/pandas/util/_decorators.py", line 207, in wrapper
return func(*args, **kwargs)
File "/usr/local/devel/ANNOTATION/jespinoz/anaconda3/lib/python3.8/site-packages/pandas/util/_decorators.py", line 311, in wrapper
return func(*args, **kwargs)
File "/usr/local/devel/ANNOTATION/jespinoz/anaconda3/lib/python3.8/site-packages/pandas/io/json/_json.py", line 614, in read_json
return json_reader.read()
File "/usr/local/devel/ANNOTATION/jespinoz/anaconda3/lib/python3.8/site-packages/pandas/io/json/_json.py", line 748, in read
obj = self._get_object_parser(self.data)
File "/usr/local/devel/ANNOTATION/jespinoz/anaconda3/lib/python3.8/site-packages/pandas/io/json/_json.py", line 770, in _get_object_parser
obj = FrameParser(json, **kwargs).parse()
File "/usr/local/devel/ANNOTATION/jespinoz/anaconda3/lib/python3.8/site-packages/pandas/io/json/_json.py", line 885, in parse
self._parse_no_numpy()
File "/usr/local/devel/ANNOTATION/jespinoz/anaconda3/lib/python3.8/site-packages/pandas/io/json/_json.py", line 1139, in _parse_no_numpy
self.obj = DataFrame(
File "/usr/local/devel/ANNOTATION/jespinoz/anaconda3/lib/python3.8/site-packages/pandas/core/frame.py", line 614, in __init__
mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
File "/usr/local/devel/ANNOTATION/jespinoz/anaconda3/lib/python3.8/site-packages/pandas/core/internals/construction.py", line 464, in dict_to_mgr
return arrays_to_mgr(
File "/usr/local/devel/ANNOTATION/jespinoz/anaconda3/lib/python3.8/site-packages/pandas/core/internals/construction.py", line 119, in arrays_to_mgr
index = _extract_index(arrays)
File "/usr/local/devel/ANNOTATION/jespinoz/anaconda3/lib/python3.8/site-packages/pandas/core/internals/construction.py", line 625, in _extract_index
raise ValueError("If using all scalar values, you must pass an index")
ValueError: If using all scalar values, you must pass an index
投票关闭b/c，这是@Kabilan Mohanraj指出的重复，他也回答了这个问题。你所需要做的就是做typ='series'(典型而非类型(
>>> pd.read_json("busco_genome/busco_output/short_summary.generic.eukaryota_odb10.busco_output.json", typ="series")
one_line_summary C:87.9%[S:87.5%,D:0.4%],F:7.1%,M:5.0%,n:255
C 224
S 223
D 1
F 18
M 13
input_file /local/ifs3_scratch/CORE/jespinoz/VEBA/veba_ou...
mode genome
gene_predictor metaeuk
dataset /usr/local/scratch/CORE/jespinoz/db/busco/odb1...
dataset_creation_date 2020-09-10
dataset_number_species 70
dataset_total_buscos 255
dtype: object