How to use SEABORN package to visualise a Pandas DataFrame in Python
You will also need to import the Seaborn library,
import seaborn as sns
Next, you can use Seaborn’s various visualization functions to create different types of plots using the DataFrame.
For example, you can use the boxplot function to create a box plot of the ‘price’ column.
sns.boxplot(x = 'price', data = df)
You can also use the barplot function to create a bar plot of the ‘quantity’ column.
sns.barplot(x = 'product', y = 'quantity', data = df)
Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.