How to Resize the Legend Label In Matplotlib Graph?

3 minutes read

To resize the legend label in a matplotlib graph, you can adjust the font size using the following code snippet:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
import matplotlib.pyplot as plt

# Create a plot
plt.plot([1, 2, 3, 4], [1, 4, 9, 16])

# Customize the legend font size
plt.legend(['Data'], prop={'size': 12})

# Show the plot
plt.show()


In the code above, the prop={'size': 12} parameter inside the legend() function is used to set the font size of the legend label to 12. You can adjust the size to your preference by changing the value within the size property.


How to remove legend border in matplotlib plot?

To remove the legend border in a matplotlib plot, you can set the "frameon" property of the legend object to False. Here's an example:

1
2
3
4
5
6
7
8
9
import matplotlib.pyplot as plt

# Create a plot
plt.plot([1, 2, 3, 4], [1, 4, 9, 16], label='Data')

# Add a legend
legend = plt.legend(frameon=False)

plt.show()


In the code above, frameon=False is used to remove the legend border. You can further customize the legend by using other properties such as "loc" to change its position, "fontsize" to adjust the font size, etc.


What is the legend item in matplotlib?

In Matplotlib, a legend item is a small box or marker that represents a specific data series on a plot. The legend item is usually accompanied by a label that describes the data series it represents. Legends are commonly used in plots to help viewers understand the data being presented by providing a visual key to the different data series in the plot.


How to move the legend to a different position in matplotlib plot?

In matplotlib, you can move the legend to a different position in a plot by using the loc parameter in the plt.legend() function. The loc parameter specifies the location of the legend in the plot and can take values like 'upper left', 'upper right', 'lower right', 'lower left', etc.


Here is an example code that demonstrates how to move the legend to a different position in a matplotlib plot:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
import matplotlib.pyplot as plt

# Generate some dummy data
x = [1, 2, 3, 4, 5]
y1 = [1, 4, 9, 16, 25]
y2 = [1, 3, 6, 10, 15]

# Plot the data
plt.plot(x, y1, label='Line 1')
plt.plot(x, y2, label='Line 2')

# Move the legend to a different position
plt.legend(loc='upper right')

# Show the plot
plt.show()


In this example, the legend is moved to the upper right corner of the plot by setting loc='upper right' in the plt.legend() function. You can experiment with different values for the loc parameter to move the legend to a location that suits your plot.


How to change legend label font size in matplotlib?

You can change the legend label font size in matplotlib by using the plt.legend function with the fontsize parameter.


Here is an example of how to change the legend label font size in matplotlib:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
import matplotlib.pyplot as plt

# Create some data
x = [1, 2, 3, 4, 5]
y = [10, 20, 15, 25, 30]

# Plot the data
plt.plot(x, y, label='Data')

# Add legend with custom font size
plt.legend(fontsize='large')

# Show the plot
plt.show()


In this example, the fontsize parameter of the plt.legend function is set to 'large', which will increase the legend label font size. You can also specify the font size in points, for example fontsize=12 to set the font size to 12 points.


What is the legend marker in matplotlib?

The legend marker in matplotlib is a small symbol or shape that is displayed next to the label in a legend. It helps to visually identify different data points or series in a plot. The marker can be customized to different shapes, sizes, and colors to make it more visually appealing and easier to distinguish between different elements in a plot.

Facebook Twitter LinkedIn Telegram Whatsapp

Related Posts:

To resize the legend element in matplotlib, you can adjust the font size using the 'fontsize' parameter when calling the legend function. Simply specify the desired font size as an argument to the 'fontsize' parameter to resize the legend eleme...
To highlight multiple bars in a bar graph using matplotlib, you can first create the bar graph as usual. Then, you can iterate through the bars and change the color of the bars you want to highlight using the set_color method. You can also adjust the width or ...
To install matplotlib with pip, you can simply run the command "pip install matplotlib" in your terminal or command prompt. Make sure you have pip installed on your system before running the command. This will download and install matplotlib along with...
To show Chinese characters in Matplotlib graphs, you first need to make sure that you have the font with the Chinese characters installed on your system. Then, you can set the font for Matplotlib to use by specifying the font properties in your code. You can d...
To update the y-axis in matplotlib, you can use the set_ylim() or set_yticks() methods. The set_ylim() method allows you to set the range of values displayed on the y-axis, while the set_yticks() method allows you to set specific tick locations on the y-axis. ...