用字典而不是python中的多个字典创建列表

Question

我在程序的输出格式上遇到困难

import pandas as pd

def main():
    data = pd.read_json("/home/mahmoud/Desktop/FB.json", orient='records')

    company_name = data['dataset']['name']
    columns_names = data['dataset']['column_names']
    stock_data = data['dataset']['data']

    data_list = []

    for rows in range(len(stock_data)):
        for columns in range(12):
            dataValues = {columns_names[columns]:stock_data[rows][columns]}
            data_list.append(dataValues)

    for val in range(len(data_list)):
        print(data_list[val])

if __name__=='__main__':main()

当我运行该程序时，得到以下输出，每个条目本身就是一个字典： {'Date': '2018-12-11'} {'Open': 143.88} {'High': 143.88} {'Low': 141.1} {'Close': 142.08} {'Volume': 20300349.0} {'Dividend': 0.0} {'Split': 1.0} {'Adj_Open': 143.88} {'Adj_High': 143.88} {'Adj_Low': 141.1} {'Adj_Close': 142.08}

我正在尝试输出以下内容： [{'Date':2018-12-11, 'Open':143.88, 'High':143.88, 'Low':141.1, 'Close':142.08, 'Volume':20300349.0, 'Dividend':0.0, 'Split':1.0, 'Adj_Open':143.88, 'Adj_High':143.88, 'Adj_Low':141.1, 'Adj_Close':142.08}, {'Date':22018-12-10, 'Open':139.6, 'High':143.05, 'Low':139.01, 'Close':141.85, 'Volume':26422173.0, 'Dividend':0.0, 'Split':1.0, 'Adj_Open':139.6, 'Adj_High':143.05, 'Adj_Low':139.01, 'Adj_Close':141.85}]

这些是变量stock_data和columns_names的内容

stock_data： [['2018-12-11', 143.88, 143.88, 141.1, 142.08, 20300349.0, 0.0, 1.0, 143.88, 143.88, 141.1, 142.08, 20300349.0], ['2018-12-10', 139.6, 143.05, 139.01, 141.85, 26422173.0, 0.0, 1.0, 139.6, 143.05, 139.01, 141.85]]

column_names： ['Date', 'Open', 'High', 'Low', 'Close', 'Volume', 'Dividend', 'Split', 'Adj_Open', 'Adj_High', 'Adj_Low', 'Adj_Close', 'Adj_Volume']

Answer 1

这可以像使用一个列表理解（外部列表）和一个字典理解（内部字典）那样简单。 只需遍历stock_data每一行，并针对每一行（使用zip ） 同时遍历当前行的值和列名。 所有这些都可以使用标准的for循环来完成，就像在您发布的代码中一样，但这将更加冗长； 此外，下面的理解并不难读。

import pandas as pd

def main():
    data = pd.read_json("/home/mahmoud/Desktop/FB.json", orient='records')

    company_name = data['dataset']['name']
    columns_names = data['dataset']['column_names']
    stock_data = data['dataset']['data']

    # Here is the change
    data_list = [{c: v for c, v in zip(columns_names, r)} for r in stock_data]

    for val in data_list:
        print(val, data_list[val])

if __name__ == '__main__':
    main()

希望这对您有所帮助！

Answer 2

这是因为您在每次迭代后都会重置dataValues ，因此它会清除以前存储的内容。 您需要将dataValues附加到设置data_dict = {}初始字典中。 您永远不会对代码执行任何操作，我假设这就是您尝试放置所有这些值的地方：键

import pandas as pd

def main():

data = pd.read_json("/home/mahmoud/Desktop/FB.json", orient='records')

    company_name = data['dataset']['name']
    columns_names = data['dataset']['column_names']
    stock_data = data['dataset']['data']

    data_dict = {}

    for rows in range(len(stock_data)):
        for columns in range(12):
                dataValues = {column_name[columns]:stock_data[rows][columns]}
                # now take your dataValues, and add that to your data_dict below
                CODE GOES HERE

    for val in dataValues:
        print(val, dataValues[val])

if __name__ == '__main__':main()