I need to know how to implement to_json_string_list()
function in that case:
df = pandas.read_json('[{"rec1" : "val1", "rec2" : "val4"}, {"rec1" : "val3", "rec2" : "val4"}]', orient='records')
json_strings = list()
json_strings = to_json_string_list(df)
for json_string in json_strings:
print(json_string)
to get output like:
{"rec1" : "val1", "rec2" : "val4"}
{"rec1" : "val3", "rec2" : "val4"}
I know that there are function to_json(orient='records')
, but it is not that I need, because I get:
[{"rec1" : "val1", "rec2" : "val4"},
{"rec1" : "val3", "rec2" : "val4"}]
Printing is not only thing I will do with this strings, so simple substitution of [],
is not what I need, too.
I think you need to_json
with parameter lines=True
:
print (df.to_json(orient='records', lines=True))
{"rec1":"val1","rec2":"val4"}
{"rec1":"val3","rec2":"val4"}
df.to_json('file.json',orient='records', lines=True)
There is another method which gives you the reverse of pd.Daa
import json
json_lst = []
for i in (range(len(df)):
d = json.loads(df.iloc[i, :].to_json())
json_lst.append(d)
使用理解列表的另一种选择:
[dict(v) for _, v in df.iterrows()]
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