Pandas: Create a bar plot of one column versus another column

Pandas: Plotting Exercise-3 with Solution

Write a Pandas program to create a bar plot of the trading volume of Alphabet Inc. stock between two specific dates.

In the context of a single stock trading on a stock exchange, the volume is commonly reported as the number of shares that changed hands during a given day. The transactions are measured on stocks, bonds, options contracts, futures contracts and commodities.

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.set_index('Date')
plt.figure(figsize=(6,6))
plt.suptitle('Trading Volume of Alphabet Inc. stock,\n01-04-2020 to 30-04-2020', fontsize=16, color='black')
plt.xlabel("Date",fontsize=12, color='black')
plt.ylabel("Trading Volume", fontsize=12, color='black') 
df2['Volume'].plot(kind='bar');
plt.show()

Sample Output:

Click for download alphabet_stock_data.csv

Python Code Editor:

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