Pandas: Create a histograms plot of different columns

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

7. Histograms of Stock Prices

Write a Pandas program to create a histograms plot 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']]
#df3 = df2.set_index('Date')
plt.figure(figsize=(25,25))
df2.plot.hist(alpha=0.5)
plt.suptitle('Opening/Closing/High/Low stock prices of Alphabet Inc.,\n From 01-04-2020 to 30-09-2020', fontsize=12, color='blue')
plt.show()

Sample Output:

Click for download alphabet_stock_data.csv

For more Practice: Solve these Related Problems:

• Write a Pandas program to create individual histograms for opening, closing, high, and low prices of Alphabet Inc. over a given period.
• Write a Pandas program to generate subplots of histograms for each of the four price columns and compare their distributions.
• Write a Pandas program to plot histograms for the stock price columns and adjust the number of bins to reveal underlying patterns.
• Write a Pandas program to create overlaid histograms of the stock prices with transparency to compare their distributions.

Python Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to create a horizontal stacked bar plot of opening, closing stock prices of Alphabet Inc. between two specific dates.
Next: Write a Pandas program to create a stacked histograms plot of opening, closing, high, low stock prices of Alphabet Inc. between two specific dates.