Below is the given Python code using matplotlib and seaborn. This is about the iris data and showing the visualizations on the data.
First, we will import pandas, a data processing and CSV file I/O library. We Will also import seaborn, a Python graphing library.
Next, we'll load the Iris flower dataset. The iris dataset is now a Pandas DataFrame.
The first way we can plot things is using the .plot extension from Pandas dataframes. We will use this to make a scatterplot of the Iris features.
We can also use the seaborn library to make a similar plot. A seaborn jointplot shows bivariate scatterplots and univariate histograms.
We will use seaborn's FacetGrid to color the scatterplot by species.