It is the module that enables the users to create quantitative visuals. It will show and manages the seaborn and matplotlib. Setting the size of the figure is very straightforward. We are passing the value of the dictionary to the parameter by using the key as figsize and the dimensions required. The set function RC parameter is used to manage the size of the figure. The set function of the seaborn is used for controlling the configuration and theme of the seaborn plot. Hadoop, Data Science, Statistics & others When calling the seaborn plot, we need to set the ax parameter equal as per the array’s axes, returning the subplots while setting the dimension of the plot. It contains the parameter called figsize, which takes the tuple as an argument that includes the plot’s width and height it will also return the figure and axes of the array. The matplotlib pyplot and subplots are used to create a figure and set the subplots. We can also take the different random values and assign the same to the variable which we define in our code.
The panda’s library will contain this type of function.
The first method is used to change the axes level size of the plots, such as seaborn boxplot and seaborn scatterplot. Seaborn figure size is changed by using two methods we can change the size of the figure in seaborn by using two ways.
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