import json import csv def flatten_json(data, prefix=''): flattened_data = {} for key, value in data.items(): new_key = prefix + '_' + key if prefix else key if isinstance(value, dict): flattened_data.update(fl
(data) 40 41 # use pandas write the flatten json to excel 42 df = pd.DataFrame(csv_data_list, columns=csv_header_list) 43 df.to_excel(f"{filename.split('.')[0]}_Excel_Result_{int(time.time())}.xlsx", index=False, header=csv_header_list) 44 45 46 def start(json_path): ...
[new_key] = value return flattened_data def convert_json_to_csv(json_data, csv_file): # 解析JSON数据 data = json.loads(json_data) # 扁平化嵌套结构 flattened_data = flatten_json(data) # 创建CSV文件并写入数据 with open(csv_file, 'w', newline='') as file: writer = csv.DictWriter...
The csv node only works however for flat JSON data if we have nested data like that below: { “time”: 1650644910938, “data”: { “pressure”: 9.77, “temp”: 70.14, “battery”: 3.29 } } Then it doesn’t work. To make it work we first need to flatten the JSON object using a...
/** Parse JSON from URL and convert it to CSV*/// There is 2 methods to parse a JSON returned from a URI// 1- JSONFlattener#parseJson(URI uri):// This will use the default encoding UTF-8 to parse the JSON returned from the given uri.// 2- JSONFlattener#parseJson(URI uri, Str...
Convert JSON to CSV using Pandas, Pandas is a library in Python that can be used to convert JSON (String or file) to CSV file, all you need is first read
在Python 3.7中,可以使用内置的json和csv模块将嵌套的JSON转换为CSV格式。下面是一个完善且全面的答案: 嵌套JSON是指JSON对象中包含其他JSON对象或JSON数组的情况。将嵌套的JSON转换为CSV可以方便地进行数据分析和处理。 在Python 3.7中,可以按照以下步骤将嵌套的JSON转换为CSV: 导入所需的模块: 代码语言:txt 复制 ...
Convert json to csv with column titles. Contribute to yang49519845/json2csv development by creating an account on GitHub.
def columns = data.data*.keySet().flatten().unique() // Wrap strings in double quotes, and remove nulls def encode = { e -> e == null ? '' : e instanceof String ? /"$e"/ : "$e" } // Print all the column names
wnameless/json-flattener · GitHub，找到了这个，用于将Json扁平化（flatten）的库，我是在使用solr时...