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Contour plots are a way to represent three-dimensional data in two dimensions using contour lines. These lines connect points of equal value, creating a map-like visualization. In Python, the matplotlib library provides a convenient way to create contour plots using the contour and contourf functions.
Creating Contour Plots with Matplotlib
To create a contour plot, you need three sets of data: X, Y, and Z. The X and Y arrays represent the coordinates, while the Z array contains the height values over which the contour is drawn. Here's a basic example:
import matplotlib.pyplot as pltimport numpy as np# Create dataX, Y = np.meshgrid(np.linspace(-3, 3, 256), np.linspace(-3, 3, 256))Z = (1 - X/2 + X**5 + Y**3) * np.exp(-X**2 - Y**2)# Define contour levelslevels = np.linspace(np.min(Z), np.max(Z), 7)# Create contour plotfig, ax = plt.subplots()ax.contour(X, Y, Z, levels=levels)plt.show()Copied!✕Copy matplotlib.pyplot.contour — Matplotlib 3.10.8 documentation
Which contouring algorithm to use to calculate the contour lines and polygons. The algorithms are implemented in ContourPy, consult the ContourPy documentation for further information.
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Jul 23, 2025 · In this article, we'll explore how to create a contour map using PyVista, specifically within a Google Colab environment. Key Features of PyVista. 3D …
Matplotlib - Contour Plot - Online Tutorials Library
Code sample
fig,ax=plt.subplots(1,1)cp = ax.contourf(X, Y, Z)fig.colorbar(cp) # Add a colorbar to a plotax.set_title('Filled Contours Plot')#ax.set_xlabel('x (cm)')...Contour plots in Python
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Apr 12, 2025 · In Python, creating contour maps is made relatively straightforward through libraries like matplotlib and numpy. This blog post aims to provide a detailed overview of Python contour maps, …
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Building contour plots with Matplotlib entails using the ax.contour() method. The basic ax.contour() method call is below. Where X and Y are 2D arrays of the x and y points, and Z is a 2D array of points …
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