Pandas: Create a stacked histograms plot of different columns with more bins

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

11. Stacked Histograms with More Bins (Alternate)

Write a Pandas program to create a stacked histograms plot with more bins of opening, closing, high, low 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('2020-9-30')                         
df['Date'] = pd.to_datetime(df['Date']) 
new_df = (df['Date']>= start_date) & (df['Date']<= end_date)
df1 = df.loc[new_df]
df2 = df1[['Open','Close','High','Low']]
plt.figure(figsize=(30,30))
df2.hist();
plt.suptitle('Opening/Closing/High/Low stock prices 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 an enhanced stacked histogram of stock prices with additional bins to capture variability.
• Write a Pandas program to produce a stacked histogram with a refined bin count and then compare the open and close price distributions.
• Write a Pandas program to generate a pivot table of stock price data and plot it as a stacked histogram with a higher resolution.
• Write a Pandas program to create a stacked histogram that segments the price data into many bins and evaluates its impact on the visual outcome.

Python Code Editor:

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