python对象列表、字典列表转成pandas的DataFrame

Bertha 。 2024-03-29 14:38 95阅读 0赞

**目录**

一、对象列表转DataFrame

二、字典列表转DataFrame

--------------------

#### 一、对象列表转DataFrame ####

# 对象列表
    records = session.query(CapacityEnergyWeek).all()
    # 取字段名为列名
    variables = list(records[0].__dict__.keys())
    dataframe = pd.DataFrame([[getattr(i, j) for j in variables] for i in records], columns=variables)

![18af4528b3d740989cb44d5763431b11.png][]

from dataclasses import dataclass
    
    import pandas as pd
    
    
    @dataclass
    class Model:
        id: int
        age: int
        country: str
    
    
    if __name__ == '__main1__':
        # 对象列表
        records = [
            Model(id=1, age=20, country='china'),
            Model(id=2, age=20, country='china'),
            Model(id=3, age=21, country='china'),
            Model(id=4, age=21, country='china'),
            Model(id=5, age=22, country='china'),
        ]
    
        # 取字段名为列名
        variables = list(records[0].__dict__.keys())
        dataframe = pd.DataFrame([[getattr(i, j) for j in variables] for i in records], columns=variables)
        pass

#### 二、字典列表转DataFrame ####

import datetime
    import time
    
    import numpy as np
    import pandas as pd
    import matplotlib.pylab as plt
    from pandas import DataFrame
    
    if __name__ == '__main__':
        
        data = [
            {'name': 'lily', 'age': 16},
            {'name': 'lucy', 'age': 17},
            {'name': 'anna', 'age': 18},
            {'name': 'line', 'age': 19},
        ]
    
        variables = list(data[0].keys())
        dataframe = pd.DataFrame([[i[j] for j in variables] for i in data], columns=variables)

![aba553b4762f48ac91a65d515b316e8c.png][]

import pandas as pd
    
    if __name__ == '__main__':
        # 对象列表
        records = [
            {'id': 1, 'age': 20, 'country': 'china'},
            {'id': 2, 'age': 20, 'country': 'china'},
            {'id': 3, 'age': 20, 'country': 'china'},
            {'id': 4, 'age': 23, 'country': 'china'},
            {'id': 5, 'age': 23, 'country': 'china'},
            {'id': 6, 'age': 23, 'country': 'china'},
            {'id': 7, 'age': 23, 'country': 'china'},
        ]
    
        # 取字段名为列名
        variables = list(records[0].keys())
        dataframe = pd.DataFrame([[i[j] for j in variables] for i in records], columns=variables)
        pass

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[18af4528b3d740989cb44d5763431b11.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/03/28/28e665d870894bc4899e17ae0199888b.png
[aba553b4762f48ac91a65d515b316e8c.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/03/28/40f3a2bd6c5c42dda27e0b5dbcfe6785.png