Creating Scientific Plots the Easy Way With scienceplots and matplotlib
<p>When writing articles for publication in academic journals, the layout and style of the figures are expected to conform to a predefined format. This ensures consistency across all of that publication's articles and that any included figures are high quality when printed.</p>
<p>Python is widely used within the scientific community and provides a great way to create scientific plots. However, when we use matplotlib, one of the most popular plotting libraries within Python, the default plots are poor and need adjusting to ensure they meet the requirements.</p>
<p>Changing the styles of matplotlib figures can be time-consuming, which is where the <a href="https://github.com/garrettj403/SciencePlots" rel="noopener ugc nofollow" target="_blank">scienceplots</a> library comes in handy. With just a few lines of code, we can instantly transform the way our figure looks without spending too much time working out how to change different parts of our figures.</p>
<p>The <a href="https://github.com/garrettj403/SciencePlots" rel="noopener ugc nofollow" target="_blank">scienceplots</a> library allows users to create simple, informative plots similar to those found in academic journals and research papers. Not only that, it also sets the required DPI to 600 (for some styles), which is often a requirement by publications to ensure high-quality printed figures.</p>
<p><a href="https://towardsdatascience.com/creating-scientific-plots-the-easy-way-with-scienceplots-and-matplotlib-d86a62e2ab46">Website</a></p>