Output_filename (str): Path to output image in PNG format.Īx = seaborn.scatterplot(x=x_data, y=y_data)Īx. Please don’t assume that the growth function is real – this is just an example.ĭef simple_scatter_plot(x_data, y_data, output_filename, title_name, x_axis_label, y_axis_label): Secondly, this post plots an example of a bacterial exponential growth where the x-axis is the “Time (Hours)” and the y-axis is the bacterial growth as the number of bacterial cells. When installing seaborn, the matplotlib is automatically handled. Dependenciesįirst and foremost, the function below has some dependencies around seaborn and matplotlib, so please make sure you install them. They can be used to identify correlations, outliers, distributions, trends, and to compare the relationships between different variables. In summary, scatter plots are a useful tool for visualizing the relationship between two continuous variables.
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