从json数据创建pandas dataframe

1从json文件中创建

[
  {
    "id": "A001",
    "name": "Tom",
    "math": 60,
    "physics": 66,
    "chemistry": 61
  },
  {
    "id": "A002",
    "name": "James",
    "math": 89,
    "physics": 76,
    "chemistry": 51
  },
  {
    "id": "A003",
    "name": "Jenny",
    "math": 79,
    "physics": 90,
    "chemistry": 78
  }
]

读取json文件可以使用read_json().

df = pd.read_json(‘data/simple.json’)

2 从远程url读取json

URL = ‘http://raw.githubusercontent.com/BindiChen/machine-learning/master/data-analysis/027-pandas-convert-json/data/simple.json‘
df = pd.read_json(URL)

3 从json对象中创建

{
    "school_name": "ABC primary school",
    "class": "Year 1",
    "students": [
    {
        "id": "A001",
        "name": "Tom",
        "math": 60,
        "physics": 66,
        "chemistry": 61
    },
    {
        "id": "A002",
        "name": "James",
        "math": 89,
        "physics": 76,
        "chemistry": 51
    },
    {
        "id": "A003",
        "name": "Jenny",
        "math": 79,
        "physics": 90,
        "chemistry": 78
    }]
}

依旧使用read_json()读取

df = pd.read_json(‘data/nested_list.json’)

如果想要拆分多层嵌套

import json
# load data using Python JSON module
with open('data/nested_array.json','r') as f:
    data = json.loads(f.read())
# Flatten data
df_nested_list = pd.json_normalize(data, record_path =['students'])

相关链接

https://towardsdatascience.com/how-to-convert-json-into-a-pandas-dataframe-100b2ae1e0d8