The reason why Seaborn is so great with DataFrames is, for example, labels from DataFrames are automatically propagated to plots or other data structures as you see in the above figure column name species comes on the x-axis and column name stepal_length comes on the y-axis, that is not possible with matplotlib.
We can also draw this plot with matplotlib but the problem with matplotlib is its default parameters. data = iris means attributes which we define earlier should be taken from the given data. stripplot() function we have to define which attribute of the dataset to be on the x-axis and which attribute of the dataset should on y-axis. Instead of whitegrid if we want the dark-colored background. set(style=”whitegrid”) function here is also use to define the background of plot.We can use “darkgrid” load_dataset() function in order to load the data.We can also load any other file by giving the path and name of the file in the argument. iris is the dataset already present in seaborn module for use. ISRO CS Syllabus for Scientist/Engineer Exam. ISRO CS Original Papers and Official Keys. GATE CS Original Papers and Official Keys. DevOps Engineering - Planning to Production. Python Backend Development with Django(Live). Android App Development with Kotlin(Live). 
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