Python code for analysis and figure generation for: Physico-Chemical properties of aerosols during fog-haze spell in Delhi: Observational Insights from WiFEX Field Campaign

This Zenodo record contains the Python code used for data processing, statistical analysis, and figure generation associated with the manuscript titled “Physico-Chemical properties of aerosols during fog-haze spell in Delhi: Observational Insights from WiFEX Field Campaign.” The scripts were developed to support the analysis of aerosol-fog interactions during the 1-11 January 2023 winter fog-haze spell over Delhi, including event-based comparison, phase-wise analysis, and visualization of processed aerosol and meteorological data. The code accompanies the processed dataset deposited separately in Zenodo. A README file is included to describe file purpose, expected inputs, and general execution notes. This record contains only the custom Python scripts written for downstream processing and visualization. It does not include licensed third-party software used in upstream HR-ToF-AMS analysis. The code is shared to improve reproducibility of the published analysis and may require adaptation depending on the user’s local file structure, package environment, and input file names.