A contour plot is a graphical tool that represents three-dimensional data on a two-dimensional plane.
For example, in a topographic map, contour lines connect points of equal height, illustrating elevation changes. These lines help visualize the slope and shape of the terrain at a glance.
Similarly, plots are widely used in scientific and engineering fields to represent variations in data, such as temperature, pressure, or intensity across a surface.
Contour Explained in Matplotlib
contour
function:- Generates contour lines by connecting points with the same Z value based on input X, Y, and Z data.
- Useful for visualizing elevation, pressure, or intensity changes.
contourf
function:- Similar to
contour
, but fills the spaces between contour lines with different colors. - Makes visual interpretation easier by providing a clearer distinction between levels.
- Similar to
Areas of Use and Examples
- Science, Engineering, Statistics, and Geography
- Used to visualize various spatial data across different disciplines.
- Common Data Examples
- Meteorology: Temperature and pressure distributions.
- Topography: Terrain elevation mapping.
- Other Spatial Data: Any dataset that requires gradient visualization.
Contour plots are powerful tools for representing complex data in two-dimensional images, playing a crucial role in data analysis and interpretation in their respective fields.
Contour plot Code
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(-5, 5, 100)
y = np.linspace(-5, 5, 100)
X, Y = np.meshgrid(x, y)
Z = (X**2 + Y )**2 + (X + Y**2)**2
levels = [10, 20, 30, 40, 50, 100, 150, 200, 250, 300]
contour = plt.contour(X, Y, Z, levels=levels, cmap='coolwarm')
plt.clabel(contour, inline=True, fontsize=8)
plt.colorbar()
plt.title("Contour Plot")
plt.show()
From a theoretical perspective, contour plots seem easy to draw, but I found it difficult to make them look the way I wanted. I think this is because my understanding of functions and coordinates is somewhat weak.
I don’t recall ever using this type of chart in an actual report.
Generally, contour plots are used to visualize continuously changing three-dimensional data, such as weather patterns or elevation maps. I attempted to implement one, but it didn’t turn out as expected.
Personally, I don’t see it as essential for data analysis, but I think it could be useful as a visual representation or even as a wallpaper to explain data intuitively.
Adding double markers or incorporating a bar chart on the X and Y axes would make the visualization more specific and three-dimensional, making explanations easier. However, implementing that is quite challenging.