将嵌套的JSON转换为CSV是一种常见的数据处理任务,可以通过以下步骤完成:
以下是一个示例的Python代码,用于将嵌套的JSON转换为CSV:
import json
import csv
def flatten_json(json_data, parent_key='', flattened_data=None):
if flattened_data is None:
flattened_data = {}
if isinstance(json_data, dict):
for key, value in json_data.items():
new_key = parent_key + '_' + key if parent_key else key
if isinstance(value, (dict, list)):
flatten_json(value, new_key, flattened_data)
else:
flattened_data[new_key] = value
elif isinstance(json_data, list):
for index, item in enumerate(json_data):
new_key = parent_key + '_' + str(index) if parent_key else str(index)
if isinstance(item, (dict, list)):
flatten_json(item, new_key, flattened_data)
else:
flattened_data[new_key] = item
return flattened_data
def convert_json_to_csv(json_data):
flattened_data = flatten_json(json_data)
csv_data = [flattened_data.keys()] + [flattened_data.values()]
with open('output.csv', 'w', newline='') as csvfile:
writer = csv.writer(csvfile)
writer.writerows(csv_data)
# 示例JSON数据
json_data = {
"name": "John",
"age": 30,
"address": {
"street": "123 Street",
"city": "New York",
"country": "USA"
},
"hobbies": ["reading", "coding", "gaming"]
}
convert_json_to_csv(json_data)
上述代码将会将示例JSON数据转换为以下CSV文件:
name,age,address_street,address_city,address_country,hobbies_0,hobbies_1,hobbies_2
John,30,123 Street,New York,USA,reading,coding,gaming
这个CSV文件中的每一行都包含了最内层的值和所有父值。你可以根据实际需求修改代码,适配不同的JSON结构和数据格式。
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