plt.xlim()
and plt.ylim()
are used to manually set the range for X and Y axes.
This helps focus on specific parts of the data.
plt.gca().set_aspect()
controls how the x and y scales appear:
'auto'
= automatic scaling.
'equal'
= same scale for both axes (square units).
Useful for keeping plots balanced and visually accurate, especially when comparing shapes or curves.
Program:
import matplotlib.pyplot as plt
# Sample data
x = [0, 1, 2, 3, 4, 5]
y = [0, 1, 4, 9, 16, 25]
# Plotting the data
plt.plot(x, y, label='y = x²', color='purple')
plt.title('Parabola Curve')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.legend()
# Set limits for x and y axes
plt.xlim(0, 6)
plt.ylim(0, 30)
# Set aspect ratio (equal makes x and y scale equally)
plt.gca().set_aspect('auto') # Use 'equal' for square scaling
# Show the plot
plt.grid(True)
plt.show()
Output:
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