App: Seaborn Library

The seaborn library enables for high-level visualization. It is commonly imported as:

import seaborn as sns

Scatterplot

• sns.scatterplot() is used to generate scatter plots. It shows points on a graph using dots.

sns.scatterplot(x=[2,4,7],y=[10,4,6], color='r', s=100);

Lineplot

• sns.lineplot() is used to generate line plots.

sns.lineplot(x=[2,4,7],y=[10,4,6], color='r');

Barplot

• sns.bar() is used to generate bar plots.

sns.barplot(x=['Tom', 'Jack', 'Liz', 'Amy', 'Henry'], y=[60, 190,150, 50, 200]);

Box Plot

• The boxplot displays the minimum, 25th percentile, median, 75th percentile, maximum, and outliers of a dataset.

sns.boxplot([8,7,3,4,8,9,6,7,10,15]);

Displot

• sns.displot() is used to generate histograms.

sns.displot([8,7,3,2,1,5,6,7,8,1,3,2,5]);

Histplot

• sns.histplot() is used to generate histograms.

sns.histplot([8,7,3,2,1,5,6,7,8,1,3,2,5]);