<prompt> Fumana laeborari ea pono ea data e fumanehang habonolo bakeng sa Python.nan  <response>: Instruction in English: Find a user-friendly data visualization library for Python. . Response in English: One of the most popular and user-friendly data visualization libraries for Python is Matplotlib. It is a flexible and powerful tool that allows you to create a wide range of visualizations, including line plots, scatter plots, bar charts, and more.Another option for data visualization in Python is Seaborn, which is built on top of Matplotlib and provides a high-level API for creating statistical graphics. It includes features for visualizing distributions, regression models, and more, and has a variety of built-in themes and color palettes to choose from.A third option is Plotly, which is an interactive and user-friendly library for creating a variety of visualizations, including line charts, scatter plots, heatmaps, and 3D surface plots. It also features tools for creating animations and adding interactivity to your graphics. . Response in Sesotho: E ngoe ea lilaebrari tse tsebahalang haholo le tse bonolo tsa basebelisi tsa Python ke Matplotlib. Ke sesebelisoa se tenyetsehang le se matla se u lumellang hore u thehe mefuta e mengata ea lipono, ho kenyeletsoa meralo ea mela, mapolanka a hasanyang, lichate tsa bar, le tse ling. Kgetho e ngoe bakeng sa pono ea data ho Python ke Seaborn, e hahiloeng holima Matplotlib mme e fana ka API ea boemo bo holimo bakeng sa ho theha litšoantšo tsa lipalo. E kenyelletsa likarolo tsa ho bona kabo ea liphaello, mehlala ea ho khutlela morao, le tse ling, me e na le mefuta e fapaneng ea lihlooho tse hahelletsoeng le liphalete tsa mebala tseo u ka khethang ho tsona. Kgetho ya boraro ke Plotly, e leng laeborari e sebedisanang le e bonolo ya mosebedisi bakeng sa ho etsa diponahalo tse fapaneng, ho kenyeletswa dichate tsa mela, ditsha tsa ho hasanya, dimmapa tse futhumatsang le tse 3D. E boetse e na le lisebelisoa tsa ho etsa lipopae le ho eketsa tšebelisano ho litšoantšo tsa hau. 