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Matplotlib: Customizing the legend|LEGEND FUNCTION IN MATPLOTLIB |PYTHON| Matplotlib Legend Tutorial

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In this video, we will explore how to customize legends in Matplotlib, a popular plotting library in Python. Legends are an essential part of any plot as they help identify the data represented in the plot. By default, Matplotlib creates a basic legend, but in this video, we will show you how to customize it to meet your specific needs.
First, we will start by introducing the different components of a legend and the different options available to customize it. We will cover how to change the font size, font color, position, and padding of the legend.
Next, we will dive into the different types of legends available in Matplotlib, including the default legend, multiple legends, and grouped legends. We will show you how to create each type of legend and how to customize them to your liking.
We will also cover how to change the format of the legend text to display scientific notation or other formats. Additionally, we will demonstrate how to change the legend markers to different shapes, sizes, and colors.
Finally, we will conclude the video with an example of how to create a legend with a custom image. This is a great way to add a personal touch to your plot and make it stand out.
By the end of this video, you will have a better understanding of how to customize legends in Matplotlib and how to make them work for you. You will be able to create professional-looking plots that effectively convey your data and make a lasting impression
Matplotlib: Customizing the legend|LEGEND FUNCTION IN MATPLOTLIB |PYTHON| Matplotlib Legend Tutorial
legend in python
Location of legend
Horizontal legend
Plot legend Outside
The font size of the legend
Title of legend
Title font size of legend
Legend face color
Legend Intensity
Legend label color
Legend edge color
Legend border
---------------python code is here-----------------------------
import numpy as np
%matplotlib widget
y1=2*x**2 +100
y2=4*x**2 + 200
y3=5*x**2 + 300
)
# change location, horizontallegend
facecolor='w',framealpha=0.1,frameon=True,shadow=True)
First, we will start by introducing the different components of a legend and the different options available to customize it. We will cover how to change the font size, font color, position, and padding of the legend.
Next, we will dive into the different types of legends available in Matplotlib, including the default legend, multiple legends, and grouped legends. We will show you how to create each type of legend and how to customize them to your liking.
We will also cover how to change the format of the legend text to display scientific notation or other formats. Additionally, we will demonstrate how to change the legend markers to different shapes, sizes, and colors.
Finally, we will conclude the video with an example of how to create a legend with a custom image. This is a great way to add a personal touch to your plot and make it stand out.
By the end of this video, you will have a better understanding of how to customize legends in Matplotlib and how to make them work for you. You will be able to create professional-looking plots that effectively convey your data and make a lasting impression
Matplotlib: Customizing the legend|LEGEND FUNCTION IN MATPLOTLIB |PYTHON| Matplotlib Legend Tutorial
legend in python
Location of legend
Horizontal legend
Plot legend Outside
The font size of the legend
Title of legend
Title font size of legend
Legend face color
Legend Intensity
Legend label color
Legend edge color
Legend border
---------------python code is here-----------------------------
import numpy as np
%matplotlib widget
y1=2*x**2 +100
y2=4*x**2 + 200
y3=5*x**2 + 300
)
# change location, horizontallegend
facecolor='w',framealpha=0.1,frameon=True,shadow=True)
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