
Rishbha Jain developed grid-based subplot support for pie charts in the Plotly backend for pandas-on-Spark, contributing to the apache/spark repository. This feature enables users to render each DataFrame column as a separate pie chart arranged in a customizable grid, supporting both automatic and user-defined layouts. Rishbha implemented the solution using Python, leveraging Pandas and Plotly for data visualization, and provided end-to-end verification examples to ensure correct grid arrangement. The work focused on enhancing analytics visualization for large DataFrames, allowing easier side-by-side comparison of distributions, and demonstrated a thoughtful approach to expanding plotting capabilities without introducing bug fixes.
Month: 2026-03 — Delivered grid-based subplot support for pie charts in the Plotly backend for pandas-on-Spark, expanding visualization capabilities for large DataFrames. Feature work focused on plotting enhancements and validation rather than bug fixes this cycle.
Month: 2026-03 — Delivered grid-based subplot support for pie charts in the Plotly backend for pandas-on-Spark, expanding visualization capabilities for large DataFrames. Feature work focused on plotting enhancements and validation rather than bug fixes this cycle.

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