Pandas: Create a plot of Open, High, Low, Close, Adjusted Closing prices and Volume

Last update on April 08 2025 12:47:10 (UTC/GMT +8 hours)

13. Plot of OHLC and Volume

Write a Pandas program to create a plot of Open, High, Low, Close, Adjusted Closing prices and Volume of Alphabet Inc. between two specific dates.

Use the alphabet_stock_data.csv file to extract data.

alphabet_stock_data:

alphabet_stock_data Table

Sample Solution:

Python Code :

import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("alphabet_stock_data.csv")
start_date = pd.to_datetime('2020-4-1')
end_date = pd.to_datetime('2020-9-30')                         
df['Date'] = pd.to_datetime(df['Date']) 
new_df = (df['Date']>= start_date) & (df['Date']<= end_date)
df1 = df.loc[new_df]
stock_data = df1.set_index('Date')
stock_data.plot(subplots = True, figsize = (8, 8));
plt.legend(loc = 'best')
plt.suptitle('Open,High,Low,Close,Adj Close prices & Volume of Alphabet Inc., From 01-04-2020 to 30-09-2020', fontsize=12, color='black')
plt.show()

Sample Output:

Click for download alphabet_stock_data.csv

For more Practice: Solve these Related Problems:

• Write a Pandas program to create a multi-line plot that displays open, high, low, close, adjusted close prices and trading volume on separate subplots.
• Write a Pandas program to generate a combined plot where the stock price metrics are on the primary axis and volume is on the secondary axis.
• Write a Pandas program to build a plot that integrates OHLC data and volume data, using different chart types for clarity.
• Write a Pandas program to create a composite plot of Alphabet’s OHLC prices and volume, ensuring clear differentiation between the metrics.

Python Code Editor:

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