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  • 10 месяцев назадОпубликованоVisually Explained

Matplotlib (Python Library) - Visually Explained

🔵 Example code: 🔵 Chapters 00:00 - Intro to Matplotlib 00:29 - Install Matplotlib 00:35 - Import pyplot module 00:54 - Plot data 01:16 - Change x-axis values 01:34 - Add title and axis labels 02:18 - Add data point markers 02:43 - Add horizontal line 03:11 - Use colors / line styles 03:43 - Add a legend 04:15 - Use dot notation 🔵 Matplotlib In this video, you will learn how to visualize data in Python using Matplotlib. Formatting options discussed in the video: 1. () - marker: Shape of the data points (e.g., "o", "s", "^", "*"). - label: Legend label for the data series (e.g., "Sunny days"). - color: Customize the line color (e.g., "blue", "green"). 2. () - Title text (e.g., "Sunny days"). - Font size: fontsize=14 or any desired value. - Font style: Use fontweight (e.g., "bold", "light"). 3. () & () - Label text (e.g., "Months", "Sunny days"). - Font size: fontsize=12 or your preferred size. 4. () - y: The y-coordinate value for the line (e.g., avg_sunny_days). - linestyle: Customize line style (e.g., "--", "-.", ":"). - color: Customize line color (e.g., "orange", "red", "gray"). - label: Legend label for the line (e.g., "Average"). 5. () - Location: Specify where the legend appears (e.g., "upper right", "lower left", "best"). - Font size: fontsize=10 or your preferred size. #Python #CodingTips #PythonTutorial #LearnPython #PythonProgramming #CodingForBeginners #ProgrammingTips