How to Create Bar Chart From Dataframe in Python

To create a bar chart from a dataframe in Python, you can use the plot() function from the pandas library.

The following example shows how to create a bar chart from a dataframe in Python using the plot() function.

Using plot() Function

We can use the plot() function to create a bar chart from a dataframe.

Let’s see how to use the plot() function in Python:

# Import libraries
import pandas as pd
import matplotlib.pyplot as plt

# Load the data into a dataframe
office_stuff = pd.DataFrame({
    'Product_Name': ['Laptop', 'Mobile', 'Printer', 'Keyboard', 'Scanner', 'Mouse'],
    'Price': [4500, 550, 250, 50, 350, 50]
})

# Create a bar chart
office_stuff.plot(x='Product_Name', y='Price', kind='bar')
plt.title('Product Prices')
plt.xlabel('Product Name')
plt.ylabel('Price')
plt.show()

Output: 👇️

In this example, we use the plot() function to create a bar chart from the dataframe office_stuff.

The kind=‘bar’ parameter specifies that we want to create a bar chart. The output shows the bar chart created from the dataframe.

Conclusion

We can use the plot() function from the pandas library to create a bar chart from a dataframe in Python.