>>>echo'{"a": {"b": 1}}'|python -m flatten_json {"a_b": 1} >>>echo'{"a": {"b": 1}}'|flatten_json {"a_b": 1}%- Thanks to@nmaas87for requesting this feature and@aquilaxfor making it actually work.
from flatten_json import flatten flatten(dic)Results:{'a': '1', 'b': '2', 'c_0_d_0': '2', 'c_0_d_1': '3', 'c_0_d_2': '4', 'c_0_e_0_f': '1', 'c_0_e_0_g': '2'}Usage with PandasFor the following object:...
我使用的代码如下Pythoncode import json import pandas as pd from pandas.io.json import json_normalize data = json.load(open('C:/Users/Muj/Downloads/Linkedin data/follower_statistics_per_day.json')) def flatten_json(y): out = {} def flatten(x, name=''): if type(x) is dict: for a...
首先补充一个地方，之前有个文章演示的是猜数游戏，原文链接为猜数游戏用Python应该这样写，代码中漏掉了...
更新问题的答案 Using json_normalize and groupby.agg: out = (pd .json_normalize(d['emp']) .rename(columns=lambda s: s.split('.')[0]) .groupby(level=0, axis=1, so...
是一个用于将嵌套的JSON格式数据展平为一维结构的函数。它的作用是将JSON中的所有嵌套对象递归展开,以便更方便地处理和分析数据。 这个函数的输入参数是一个嵌套的JSON对象,输出是展开后的一维列表...
0 - This is a modal window. No compatible source was found for this media. pandaspdpandaspddata"profession":[{'field':"Doctor","salary":90000}]},{"person_id":2,"Details":{"name":"Riya","age":22,"Gender":'female'},"profession":[{'field':"Teacher","salary":20000}]}]# Customi...
Python program to flatten multilevel/nested JSON # Importing pandas packageimportpandasaspd# Importing numpy packageimportnumpyasnp# Defining a JSON filejson=[ {"state":"Florida","shortname":"FL","info": {"governor":"Rick Scott"},"county": [ {"name":"Dade","population":12345}, {"name...
and its extension in theopen()function to read it, and if the file is not in the same directory as the Python file, we have to provide the full path of the file along with its name and extension inside theopen()function. We used theload()function ofjsonlibrary to read the JSON ...
jq:piglatin风格的flatten函数JSONapache-pigFlattenjq Pigwbrvyc0a2021-06-24浏览 (432)2021-06-24 2回答 422浏览 将python数据框中的条目展平,如apache pig bagpythonpandasapache-pigDataFrameFlatten Pigyxyvkwin2021-06-24浏览 (422)2021-06-24