将numpy.nd数组转换为json

Nay*_*dhu 4 python arrays json numpy

我有一个数据框genre_rail,其中一列包含numpy.ndarray.数据框如下所示datframe

其中的数组如下所示:

['SINGTEL_movie_22906' 'SINGTEL_movie_22943' 'SINGTEL_movie_24404'
 'SINGTEL_movie_22924' 'SINGTEL_movie_22937' 'SINGTEL_movie_22900'
 'SINGTEL_movie_24416' 'SINGTEL_movie_24422']
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我尝试使用以下代码

import json
json_content = json.dumps({'mydata': [genre_rail.iloc[i]['content_id'] for i in range(len(genre_rail))] })
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但是得到了一个错误

TypeError:数组不是JSON可序列化的

我需要输出为

{"Rail2_contend_id":
["SINGTEL_movie_22894","SINGTEL_movie_22898",
"SINGTEL_movie_22896","SINGTEL_movie_24609","SINGTEL_movie_2455",
"SINGTEL_movie_24550","SINGTEL_movie_24548","SINGTEL_movie_24546"]}
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Fad*_*hab 18

如何使用该.tolist方法将数组转换为json .然后你可以把它写成json,如:

np_array_to_list = np_array.tolist()
json_file = "file.json" 
json.dump(b, codecs.open(json_file, 'w', encoding='utf-8'), sort_keys=True, indent=4)
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Bhu*_*mar 6

将所有数据加载到字典中,然后将其转储到json.下面的代码可能对您有所帮

import json

#Data
d = ['SINGTEL_movie_22906', 'SINGTEL_movie_22943', 'SINGTEL_movie_24404'
 'SINGTEL_movie_22924', 'SINGTEL_movie_22937', 'SINGTEL_movie_22900'
 'SINGTEL_movie_24416', 'SINGTEL_movie_24422']

#Create dict
dic = {}
dic['Rail2_contend_id'] = d

print dic

#Dump data dict to jason
j = json.dumps(dic)
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产量

{'Rail2_contend_id':['SINGTEL_movie_22906','SINGTEL_movie_22943','SINGTEL_movie_24404SINGTEL_movie_22924','SINGTEL_movie_22937','SINGTEL_movie_22900SINGTEL_movie_24416','SINGTEL_movie_24422']}