Matplotlib (Python Library) - Visually Explained
🔵 Example code: https://rebrand.ly/kg1qk17
🔵 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. plt.plot()
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. plt.title()
Title text (e.g., "Sunny days").
Font size: fontsize=14 or any desired value.
Font style: Use fontweight (e.g., "bold", "light").
3. plt.xlabel() & plt.ylabel()
Label text (e.g., "Months", "Sunny days").
Font size: fontsize=12 or your preferred size.
4. plt.axhline()
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. plt.legend()
Location: Specify where the legend appears (e.g., "upper right", "lower left", "best").
Font size: fontsize=10 or your preferred size.
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