![]() Next, we can assign the plots title with plt.title, and then we can invoke. Now we have a plot of bigger size as we needed. Adding an x-axis and labels When it comes to the x-axis in matplotlib, there’s two important pieces to that axis: x-ticks: The place in the dataset where you want a label to be applied x-ticks-labels: The label you want to put at the tick Practically in our case, I believe it would be interesting to show 10 dates along the x-axis. With plt.xlabel and plt.ylabel, we can assign labels to those respective axis. We need to specify the argument figsize with x and y-dimension of the plot we want. We can change the default size of the image using plt.figure() function before making the plot. Often we ould like to increase the size of the Seaborn plot. Once you have made all necessary changes to the plot and final step is to save the plot as an image of specifcied size. Set Title with Seaborn How To Change the Size of a Seaborn Plot? ![]() Here is how the plot looks like with increased label sizes and title for the plot. We can use plt.title() function to add title to the plot. In this example, we have changed both x and y-axis label sizes to 20 from the default size.Ĭhange axis label size with Seaborn How To Set a Title to a Seaborn Plot?Īnother useful addition to a plot is to add title describing the plot. Sns.scatterplot(x="height", y="weight", data=df) The ot functions can also be used to change the size of the labels by using size as another argument. Change Axis Labels With Seaborn How To Change X & Y Axis Label Size in a Seaborn Plot?
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