![]() use the matplotlib.pass hight and aspect keywords to the seaborn plotting function.call a method on the figure once it's been created.pass some configuration paramteters to seaborn so that the size you want is the default.Get access to the figure (only one figure in the plt module). manually create an Axes object with the desired size Figure and axes Figure size Figure and subplots.We can place the subplot on a figure, but if we change some properties of the figure, it will affect the whole plot. ![]() All the plots and properties are shown in the figure in matplotlib. Part of the confusion arises because there are so many ways to do the same thing - this highly upvoted question has six suggested solutions: The figure is the top-level container of all the axes and properties of a plot, or we can say that it is a canvas that holds the drawings (graphs or plots) on it. However, it still manages to show up on the first page of stackoverflow questions for both matplotlib and seaborn. Setting figure sizes is one of those things that feels like it should be very straightforward. if you're using a seaborn function that draws multiple plots, use the height and aspect keyword arguments.if you're using a seaborn function that draws a single plot, use with the figsize keyword.if you're using matplotlib directly, use with the figsize keyword.if you're using plot() on a pandas Series or Dataframe, use the figsize keyword. ![]()
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