![]() In this last code chunk, we are creating the same plot as above. Note, dpi can be changed so that we get print-ready Figures. Finally, we added 70 dpi for the resolution. Here, the first argument is the filename (and path), we want it to be a jpeg and, thus, provide the string “jpeg” to the argument format. In the code chunk above, we save the plot in the final line of code. Plt.savefig( 'our_plot_name.jpg', format= 'jpeg', dpi= 70) Code language: Python ( python ) G = g.map(plt.scatter, "petal_length", "petal_width") G = sns.FacetGrid(iris_df, col= "species") Note, we use the FacetGrid class, here, to create three columns for each species. First, we create 3 scatter plots by species and, as previously, we change the size of the plot. In this section, we are going to use Pyplot savefig to save a scatter plot as a JPEG. Note, EPS will enable us to save the file in high-resolution and we can use the files e.g. In this section, we are going to save a scatter plot as jpeg and EPS. This is accomplished using the savefig method from Pyplot and we can save it as a number of different file types (e.g., jpeg, png, eps, pdf). ![]() That is, we are changing the size of the scatter plot using Matplotlib Pyplot, gcf(), and the set_size_inches() method: iris_df = sns.load_dataset( 'iris')ĭata=iris_df) Code language: Python ( python )įinally, we are going to learn how to save our Seaborn plots, that we have changed the size of, as image files. In this example, we are going to create a scatter plot, again, and change the scale of the font size. Again, we are going to use the iris dataset so we may need to load it again. ![]() We can change the fonts using the set method and the font_scale argument. Changing the Font Size on a Seaborn PlotĪs can be seen in all the example plots, in which we’ve changed Seaborn plot size, the fonts are now relatively small. For instance, with the sns.lineplot method we can create line plots (e.g., visualize time-series data). Now, as you may understand now, Seaborn can create a lot of different types of datavisualization. Iris_df.head() Code language: Python ( python ) Here, we are going to use the Iris dataset and we use the method load_dataset to load this into a Pandas dataframe. Conveniently, Seaborn has some example datasets that we can use when plotting. In the first example, we are going to increase the size of a scatter plot created with Seaborn’s scatterplot method. How to Change the Size of a Seaborn Scatter Plot Nine data visualization techniques you should know in Python.Finally, when we have our different plots we are going to learn how to increase, and decrease, the size of the plot and then save it to high-resolution images. Second, we are going to create a couple of different plots (e.g., a scatter plot, a histogram, a violin plot). First, we need to install the Python packages needed. In this section, we are going to learn several methods for changing the size of plots created with Seaborn. Here’s more information about how to install Python packages using Pip and Conda. Both of these methods are quite easy to use: conda install -c anaconda seaborn and pip -m install seaborn will both install Seaborn and it’s dependencies using conda and pip, respectively. Conda is the package manager for the Anaconda Python distribution and pip is a package manager that comes with the installation of Python. Now, if we want to install python packages we can use both conda and pip. Note, this code needs to be put above where you create the Seaborn plot. ![]() Now, whether you want to increase, or decrease, the figure size in Seaborn you can use matplotlib.įig.set_size_inches(x, y). In this case, we may compile the descriptive statistics, data visualization, and results from data analysis into a report, or manuscript for scientific publication. One example, for instance, when we might want to change the size of a plot could be when we are going to communicate the results from our data analysis. When do We Need to Change the Size of a Plot? Note, that we use the set_size_inches() method to make the Seaborn plot bigger. Here’s how to make the plot bigger: import matplotlib.pyplot as pltįig.set_size_inches( 12, 8) Code language: Python ( python ) Now, if we only to increase Seaborn plot size we can use matplotlib and pyplot.
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