It is a financial data library for developers that provides a simple and convenient way to access historical market data from Yahoo Finance. It allows users to download stock price data, financial statements, and other relevant financial information for analysis and trading. With its easy-to-use interface and comprehensive data access, yFinance is a valuable library for financial analysis and research in Python. In this article, we will learn how to Check yfinance version in Python.

Check yfinance version in Python

Step 1: Check Python Installation

Verify Python is installed on your system. This command outputs the Python version.

python --version

Step 2: Check PIP Installation

Confirm PIP is installed. This command shows the pip version if it’s available.

pip --version

Step 3: Install yfinance

Use pip to install the yfinance library. This command fetches and installs yfinance and its dependencies.

pip install yfinance

Step 4: Check yfinance version

Check Package Installation detailed by executing the below command in the terminal.

pip show yfinance

This command provides detailed information about the yfinance package, including its version, location, and dependencies.

Importing yfinance

Below is the process to import yfinance in Python.

Import yfinance

Once the installation is complete, you can import the yfinance library in your Python script or Jupyter Notebook by using the following import statement:

import yfinance

Example: Displaying MSFT Data in Bar Chart

In this example, we are using yfinance to fetch the historical trading data for Microsoft (MSFT) over the last six months. A bar chart is then created using matplotlib to visualize the volume of shares traded each day, with the volume data plotted on the y-axis and the dates on the x-axis. The chart is customized with labels, a legend, and a grid for better readability.

import yfinance as yf
import matplotlib.pyplot as plt
ticker = "MSFT"
microsoft = yf.Ticker(ticker)
hist = microsoft.history(period="6mo")
plt.figure(figsize=(10, 6))
plt.bar(hist.index, hist['Volume'], label='Volume', color='blue')
plt.title(f'{ticker} Volume Traded Over the Last 6 Months')
plt.xlabel('Date')
plt.ylabel('Volume')
plt.legend()
plt.grid(True)
plt.show()

Output:

Conclusion

In conclusion, importing and using the yfinance library in Python allows developers to efficiently access and analyze historical financial data from Yahoo Finance. By following the steps to set up pip, install yfinance, and import it into your project, you can use ts capabilities to perform comprehensive financial analysis and visualization.