How to Integrate Yahoo Finance API with Matplotlib

In this article we want to learn about How to Integrate Yahoo Finance API with Matplotlib, so If you are interested in financial data analysis, you might find yourself needing to use Yahoo Finance data. Yahoo Finance is free and widely used platform that provides financial information on different stocks, currencies, commodities and indices. in this article we want to learn how to integrate Yahoo Finance with Matplotlib to create graphs and charts based on financial data.

First of all we need to install required libraries.

pip install yfinance matplotlib

1	pip install yfinance matplotlib

Now we can access Yahoo Finance data using yfinance library. yfinance library is popular and easy Python library that allows you to download historical market data from Yahoo Finance.

import yfinance as yf

# Get data for the stock Apple
apple_data = yf.download("AAPL", start="2020-01-01", end="2022-04-01")

# Print first five rows of the data
print(apple_data.head())

import yfinance as yf

# Get data for the stock Apple

apple_data = yf.download("AAPL", start="2020-01-01", end="2022-04-01")

# Print first five rows of the data

print(apple_data.head())

In the above example we are downloading Apple’s stock data from January 1, 2020, to April 1, 2022. data will be stored in pandas dataframe.

This will be the result

How to Integrate Yahoo Finance API with Matplotlib — How to Integrate Yahoo Finance with Matplotlib

Now that we have the data, we can use Matplotlib to create a chart of the stock closing price. we can do this by plotting the closing price against the date.

import yfinance as yf
import matplotlib.pyplot as plt

# Get data for  stock Apple
apple_data = yf.download("AAPL", start="2020-01-01", end="2022-04-01")

import matplotlib.pyplot as plt

# Create new figure and set the size
plt.figure(figsize=(12, 6))

# Plot closing price against the date
plt.plot(apple_data.index, apple_data['Close'])

# Set title and axis labels
plt.title('Apple Stock Price')
plt.xlabel('Date')
plt.ylabel('Closing Price ($)')

# Show the chart
plt.show()

import yfinance as yf

import matplotlib.pyplot as plt

# Get data for stock Apple

apple_data = yf.download("AAPL", start="2020-01-01", end="2022-04-01")

import matplotlib.pyplot as plt

# Create new figure and set the size

plt.figure(figsize=(12, 6))

# Plot closing price against the date

plt.plot(apple_data.index, apple_data['Close'])

# Set title and axis labels

plt.title('Apple Stock Price')

plt.xlabel('Date')

plt.ylabel('Closing Price ($)')

# Show the chart

plt.show()

In this example we are have created line plot of Apple’s stock price against the date. we set the title and axis labels and then show the chart.

This will be the result

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