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Matplotlibdata~10 mins

Inverted axes in Matplotlib - Step-by-Step Execution

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Concept Flow - Inverted axes
Create plot with data
Call invert_axis()
Axis limits reversed
Plot redraws with inverted axis
User sees flipped axis direction
The plot is created, then the axis inversion function reverses the axis limits, and the plot redraws showing the axis flipped.
Execution Sample
Matplotlib
import matplotlib.pyplot as plt
plt.plot([1, 2, 3], [4, 5, 6])
plt.gca().invert_yaxis()
plt.show()
This code plots points and then flips the y-axis so it runs top to bottom instead of bottom to top.
Execution Table
StepActionAxis Limits BeforeAxis Limits AfterVisual Effect
1Plot points (x=[1,2,3], y=[4,5,6])x: auto, y: autox: auto, y: autoNormal plot with y-axis bottom to top
2Call invert_yaxis()y: 4 to 6y: 6 to 4Y-axis direction flipped (top to bottom)
3Show ploty: 6 to 4y: 6 to 4Plot displayed with inverted y-axis
💡 Plot displayed with y-axis inverted after calling invert_yaxis()
Variable Tracker
VariableStartAfter Step 1After Step 2Final
x_data[][1, 2, 3][1, 2, 3][1, 2, 3]
y_data[][4, 5, 6][4, 5, 6][4, 5, 6]
y_axis_limitsNone[4, 6][6, 4][6, 4]
Key Moments - 2 Insights
Why does the y-axis go from 6 down to 4 after invert_yaxis()?
Calling invert_yaxis() reverses the axis limits, so the higher value (6) becomes the lower limit visually, flipping the axis direction as shown in execution_table step 2.
Does invert_yaxis() change the data points?
No, the data points remain the same (see variable_tracker y_data), only the axis limits are reversed to flip the view.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution_table at step 2, what are the y-axis limits after invert_yaxis()?
A[6, 4]
B[4, 6]
C[1, 3]
D[3, 1]
💡 Hint
Check the 'Axis Limits After' column in execution_table row for step 2.
At which step does the plot visually flip the y-axis direction?
AStep 1
BStep 2
CStep 3
DAfter Step 3
💡 Hint
Look at the 'Visual Effect' column in execution_table for when the axis direction changes.
If we called invert_xaxis() instead of invert_yaxis(), which variable in variable_tracker would change?
Ax_data
By_axis_limits
Cx_axis_limits
Dy_data
💡 Hint
Invert_xaxis() reverses the x-axis limits, so x_axis_limits would change (not shown here but analogous to y_axis_limits).
Concept Snapshot
Inverted axes in matplotlib:
- Use invert_xaxis() or invert_yaxis() on the current axis.
- This reverses the axis limits, flipping the axis direction.
- Data points stay the same; only the view changes.
- Useful for plots needing reversed coordinate directions.
- Call before plt.show() to see effect.
Full Transcript
This visual execution shows how matplotlib's invert_yaxis() function works. First, data points are plotted normally. Then invert_yaxis() reverses the y-axis limits, flipping the axis direction from bottom-to-top to top-to-bottom. The data points do not change, only the axis view flips. Finally, the plot is displayed with the inverted y-axis. This helps understand that axis inversion changes the axis limits, not the data itself.