Worked on the malariagen/malariagen-data-python repository to enhance sample selection and visualization capabilities for data analysis workflows. Developed and integrated a new sample_indices parameter across core functions, enabling more targeted analyses and richer data visualizations. This update improved consistency in sampling controls throughout the API, supporting functions such as count_samples and various plotting utilities. The approach ensured that sample-based visualizations and dashboards could leverage more precise data subsets, streamlining downstream analysis. Utilized Python for both implementation and data visualization, focusing on improving API usability and data exploration. The work addressed consistency issues and expanded analytical flexibility for users.