Developed a diagnostic script for the gyselax/gyselalibxx repository to visualize the time evolution of plasma moments, enabling researchers to analyze density, parallel velocity, and temperature components for multiple species. The solution processed HDF5 distribution-function data using Python, leveraging scientific computing and data visualization techniques to compute and plot moments for each species, including comparative analysis between two species. The workflow exported plots as PNG files, supporting reproducible and rapid insight generation across experiments. This work improved data interpretation speed and facilitated decision-making by providing validation-friendly outputs, demonstrating a focused approach to scientific data analysis and visualization in plasma research.