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Matplotlibdata~10 mins

Custom legend entries in Matplotlib - Step-by-Step Execution

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Concept Flow - Custom legend entries
Create plot elements
Define custom legend handles
Call legend() with custom handles and labels
Display plot with custom legend
First, create plot elements. Then define custom legend handles. Next, call legend() with these handles and labels. Finally, show the plot with the custom legend.
Execution Sample
Matplotlib
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D

plt.plot([1,2,3], label='Line 1')
custom_handle = Line2D([0], [0], color='red', lw=2)
plt.legend(handles=[custom_handle], labels=['Custom Red Line'])
plt.show()
This code plots a line but shows a custom legend entry with a red line instead of the default.
Execution Table
StepActionPlot ElementsLegend HandlesLegend LabelsResult
1Import matplotlib and Line2DNo plot yetNoneNoneReady to plot
2Plot line with label 'Line 1'Line plotted (default blue)NoneNoneLine visible on plot
3Create custom Line2D handle (red line)Line plottedRed line handle createdNoneCustom handle ready
4Call plt.legend() with custom handle and labelLine plottedRed line handle['Custom Red Line']Legend shows red line with label
5Show plotLine plottedRed line handle['Custom Red Line']Plot displayed with custom legend
💡 Plot displayed with custom legend replacing default legend entries
Variable Tracker
VariableStartAfter Step 2After Step 3After Step 4Final
pltmatplotlib.pyplot moduleplot createdplot createdplot createdplot displayed
custom_handleundefinedundefinedLine2D object (red line)Line2D object (red line)Line2D object (red line)
legend handlesNoneNoneNone[custom_handle][custom_handle]
legend labelsNoneNoneNone['Custom Red Line']['Custom Red Line']
Key Moments - 3 Insights
Why does the legend show the custom red line instead of the plotted blue line?
Because in step 4, plt.legend() is called with the custom handle and label, overriding the default legend entries from the plot (see execution_table row 4).
Can we add multiple custom legend entries not linked to plotted data?
Yes, by creating multiple custom handles and passing them all in the handles list with corresponding labels in plt.legend(), as shown in step 4.
What happens if we call plt.legend() without handles or labels?
Matplotlib automatically uses the labels from plotted elements. Custom handles override this behavior (see step 4 vs step 2).
Visual Quiz - 3 Questions
Test your understanding
Look at the execution table at step 3, what is the state of 'custom_handle'?
AIt is undefined
BIt is a Line2D object representing a red line
CIt is the plotted blue line
DIt is a legend label string
💡 Hint
Check the 'custom_handle' column in variable_tracker after step 3
At which step does the legend start showing the custom red line instead of the default plot line?
AStep 4
BStep 3
CStep 2
DStep 5
💡 Hint
Look at the 'Legend Handles' and 'Result' columns in execution_table
If we remove the 'handles' argument in plt.legend(), what will the legend show?
ANo legend will appear
BThe custom red line legend entry
CThe default legend from plotted lines
DAn error will occur
💡 Hint
Refer to key_moments about default legend behavior when no handles are passed
Concept Snapshot
Custom legend entries in matplotlib:
- Create plot elements normally
- Define custom legend handles (e.g., Line2D objects)
- Call plt.legend(handles=[...], labels=[...]) to override default legend
- Useful to show legend entries not directly linked to plotted data
- plt.show() displays the plot with custom legend
Full Transcript
This visual execution shows how to create custom legend entries in matplotlib. First, we import matplotlib and plot a line. Then, we create a custom legend handle using Line2D with a red color. Next, we call plt.legend() passing this custom handle and a label, which replaces the default legend entry. Finally, we display the plot with the custom legend. The variable tracker shows how the custom handle and legend labels are set step-by-step. Key moments clarify why the custom legend overrides the default and how to add multiple custom entries. The quiz tests understanding of when and how the custom legend appears.