how to extract highest price using datareader python

To extract the highest price from financial data using the DataReader module in Python, you can use the get_data_yahoo function from the pandas_datareader library. This library allows you to easily access financial data from various online sources, including Yahoo Finance. Here's a step-by-step tutorial with a code example:
Make sure you have the necessary libraries installed. You can install them using the following commands:
Specify the stock symbol and the date range for which you want to retrieve the financial data. In this example, we'll use the stock symbol 'AAPL' for Apple and a date range from January 1, 2021, to December 31, 2021.
Use the get_data_yahoo function to fetch the historical stock data for the specified symbol and date range.
Find the row with the highest closing price in the DataFrame.
This example demonstrates how to use the pandas_datareader library to retrieve historical stock data and find the date and value of the highest closing price. Make sure to replace the stock symbol and date range with your specific requirements.
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