Pandas: Create a horizontal stacked bar plot of one column versus other columns

Last update on April 08 2025 12:47:40 (UTC/GMT +8 hours)

6. Horizontal Stacked Bar Plot of Opening and Closing Prices

Write a Pandas program to create a horizontal stacked bar plot of opening, closing stock prices 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('2020-4-30')                         
df['Date'] = pd.to_datetime(df['Date']) 
new_df = (df['Date']>= start_date) & (df['Date']<= end_date)
df1 = df.loc[new_df]
df2 = df1[['Date', 'Open', 'Close']]
df3 = df2.set_index('Date')
plt.figure(figsize=(20,20))
df3.plot.barh(stacked=True)
plt.suptitle('Opening/Closing stock prices Alphabet Inc.,\n01-04-2020 to 30-04-2020', 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 horizontal stacked bar plot showing the opening and closing prices of Alphabet Inc. over a selected period.
• Write a Pandas program to generate a horizontal stacked bar chart where each bar represents a day split between open and close prices.
• Write a Pandas program to produce a horizontal stacked bar plot with custom color mapping for open and close price segments.
• Write a Pandas program to plot a horizontal stacked bar chart that visually compares the proportions of opening versus closing prices daily.

Python Code Editor:

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