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

Pandas: Plotting Exercise-5 with Solution

Write a Pandas program to create a 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.bar(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

Python Code Editor:

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