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The most difficult part of using the Python/matplotlib implementation of contour plots is formatting your data. In this post, I’ll give you the code to get from a more traditional data structure to the format required to use Python’s ax.contour function.
Plot contour lines. Call signature: contour( [X,Y,]Z,[levels],**kwargs) contour and contourf draw contour lines and filled contours, respectively. Except as noted, function signatures and return values are the same for both versions. Parameters: X, Yarray-like, optional. The coordinates of the values in Z.
20 maj 2019 · i'm looking for the best way to create a contour plot using a numpy meshgrid. I have excel data in columns simplyfied looking like this: x data values: -3, -2, -1, 0, 1, 2 ,3, -3, -2, -1, 0, 1, 2, 3 y data values: 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2 z data values: 7 , 5, 6, 5, 1, 0, 9, 5, 3, 8, 3, 1, 0, 4.
Here’s an example of how to create a publication-quality contour plot: 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 = np.sin(np.sqrt(X**2 + Y**2)) fig, ax = plt.subplots(figsize=(8, 6)) levels = np.linspace(-1, 1, 15) contour = ax.contourf(X, Y, Z, levels ...
Matplotlib contour plots are powerful tools for visualizing three-dimensional data on a two-dimensional plane. This article will dive deep into the world of matplotlib contour plots, exploring their various features, customization options, and practical applications.
Matplotlib contour filled plots are powerful tools for visualizing three-dimensional data on a two-dimensional plane. This comprehensive guide has covered various aspects of creating and customizing matplotlib contour filled plots, from basic usage to advanced techniques and best practices.
Plot contour lines. See contour . import matplotlib.pyplot as plt import numpy as np plt . style . use ( '_mpl-gallery-nogrid' ) # make data X , 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 ) levels = np . linspace ( np . min ( Z ), np ...
