使用csv文件制作以日期为关键字的股价字典

问题描述

股票的python程序，使用csv

解决方法

您可以使用 Pandas 更快地完成这项工作。

import pandas as pd

df = pd.read_csv('apple.dat') #read CSV file into a dataframe df
perfect_dict = list(df.T.to_dict().values())
print (perfect_dict) 

注意 - 名为 perfect_dict 的变量实际上是一个 dict 对象列表。

输出：

[{'Date': '2020-04-27','Open': 70.449997,'High': 71.135002,'Low': 69.987503,'Close': 70.792503,'Adj Close': 70.247971,'Volume': 117087600},{'Date': '2020-04-28','Open': 71.269997,'High': 71.457497,'Low': 69.550003,'Close': 69.644997,'Adj Close': 69.109299,'Volume': 112004800},{'Date': '2020-04-29','Open': 71.182503,'High': 72.417503,'Low': 70.972504,'Close': 71.932503,'Adj Close': 71.379196,'Volume': 137280800}]

,

还有很多方法，但这里列出了两种方法。

数据设置

# Test Data,sorry did not had csv,so this is starting point
my_csv_data=[{'Date': '2020-01-02','Open': '74.059998','High': '75.150002','Low': '73.797501','Close': '75.087502','Adj Close': '74.333511','Volume': '135480400'},{'Date': '2020-01-03','Open': '75.059998',{'Date': '2020-01-04','Open': '76.059998','Volume': '135480400'}]

查询日期需要进行搜索的日期

input_date='2020-01-04' # date the system received for query (1)

# 1st option
for each in my_csv_data:
    if each['Date'] == input_date: # find record matching with the query date
        for each_key in each:
            print(f"{each_key}:{each[each_key]}")

输出：

Date:2020-01-04
Open:76.059998
High:75.150002
Low:73.797501
Close:75.087502
Adj Close:74.333511
Volume:135480400

第二个选项，使用熊猫。

# 2nd option
import pandas as pd
df=pd.DataFrame(my_csv_data)
df_result=df[df["Date"] == input_date] # find the record for the query date
for each in df_result:
    print(each,(df_result[each].tolist()[0])) # loop and reformat for printing

输出：

Date 2020-01-04
Open 76.059998
High 75.150002
Low 73.797501
Close 75.087502
Adj Close 74.333511
Volume 135480400