Why We Use Matplotlib?
Master Matplotlib to grow in ML & data science:
— Zulqarnain Jabbar (@Zulq_ai) October 7, 2024
1. Static visualization Ideal for understanding patterns, trends, and distributions at a glance. 2. Interactive visualization Helps explore your data more deeply by allowing zooming, panning, and interactive analysis. 3. Animated visualization Demonstrates changes in data over time, making complex concepts easier to understand. Key components to master include Figure The outermost container that holds everything. Axes The area where your data is plotted. Plotting functions Tools like line plots, scatter plots, and histograms that help visualize data. Learning tip Pick any YouTube video and start drawing the graphs on paper—it was a fun way for me to learn.#matplotlib #DataScience #zulqai pic.twitter.com/nTWAendOrF
