[英]Python csv to json using pandas - csv columns to nested json
Python 3.8.5 with Pandas 1.1.3 Python 3.8.5 与 Pandas 1.1.3
I have a csv file with columns: name, city, state, and zipcode.我有一个 csv 文件,其中包含以下列:名称、城市、state 和邮政编码。 I need to convert to json with the city, state, and zipcode column values inside an object called residence.
我需要将城市、state 和 object 中的邮政编码列值转换为 json,称为住宅。
For example:例如:
CSV file CSV 文件
Name City State Zipcode
John Doe Akron OH 44140
I need the JSON output to be structured like:我需要 JSON output 的结构如下:
{
"name": "John Doe",
"residence" :
{
"city": "Akron",
"state": "OH",
"zipcode": 44140
}
}
I currently use Pandas to convert csv to json using the following code:我目前使用 Pandas 使用以下代码将 csv 转换为 json:
import pandas as pd
csv_file = pd.DataFrame(pd.read_csv("data.csv", sep = ",", header = 0, index_col = False))
csv_file.to_json("data.json", orient = "records", lines = True, date_format = "iso", double_precision = 10, force_ascii = True, date_unit = "ms", default_handler = None)
As-is, that just converts each column to a json key:value.按原样,这只是将每一列转换为 json 键:值。
How can I add to this code to achieve my desired output?如何添加到此代码以实现我想要的 output?
IIUC try creating the nested object row-wise first, then creating the JSON: IIUC 尝试首先按行创建嵌套的 object,然后创建 JSON:
import pandas as pd
csv_file = pd.read_csv("data.csv", sep=",",
header=0, index_col=False)
# Create Nested dict (Object)
csv_file['Residence'] = csv_file[['City', 'State', 'Zipcode']].apply(
lambda s: s.to_dict(), axis=1
)
# Write out Name and Residence Only
csv_file[['Name', 'Residence']].to_json("data.json", orient="records",
lines=True, date_format="iso",
double_precision=10, force_ascii=True,
date_unit="ms", default_handler=None)
data.csv数据.csv
Name,City,State,Zipcode John Doe,Akron,OH,44140 Jane Smith,Los Angeles,California,90005
data.json数据.json
{"Name":"John Doe","Residence":{"City":"Akron","State":"OH","Zipcode":44140}} {"Name":"Jane Smith","Residence":{"City":"Los Angeles","State":"California","Zipcode":90005}}
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