Parity Plot Python

Hi, I want to plot a parity plot for the prediction of energies and dft energies and I know should I use nequip-evaluate but I'm confused about output.xyz file. Which energies are predictions and which one are dft original energies? Do you have any python code that I can use to plot the parity plot? Best, Saeed

Explore the power of pair plots in exploratory data analysis and learn how to create them with Seaborn Python for data visualization.

Learn how to use Seaborn's pairplot function to create comprehensive visualizations of pairwise relationships in your dataset with customization options and best practices.

By creating a grid of scatter plots it helps to identify how different features interact with each other to identify patterns, correlations and trends in data. In this article, we will see how to implement seaborn.pairplot in python.

Parity plot is a scatter plot with experimental values x-axis and predicted values y-axis. It is good for checking model's prediction accuracy for entire datapoints. Have fun with matplotlib

Parity Plot Details can be found in Wikipedia here Parity Plot, so I will only mention some tiny pieces that will be overlooked when you just try plain Python codes to generate figures.

If you provide a single list or array to plot, matplotlib assumes it is a sequence of y values, and automatically generates the x values for you. Since python ranges start with 0, the default x vector has the same length as y but starts with 0 therefore, the x data are 0, 1, 2, 3.

A parity plot is a scatterplot that compares a set of results from a computational model against benchmark data. Each point has coordinates x, y, where x is a benchmark value and y is the corresponding value from the model.

seaborn.pairplot seaborn.pairplotdata, , hueNone, hue_orderNone, paletteNone, varsNone, x_varsNone, y_varsNone, kind'scatter', diag_kind'auto', markersNone, height2.5, aspect1, cornerFalse, dropnaFalse, plot_kwsNone, diag_kwsNone, grid_kwsNone, sizeNone Plot pairwise relationships in a dataset. By default, this function will create a grid of Axes such that each numeric

I have two arrays x,y obtained from a machine learning calculations and I wish to make a scatter plot with the reference data x on the diagonal in a way to visualize better the predicted values y against the true ones x. Please can you suggest me how to do it in python or gnuplot?