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With the two different limits you can control the range and legend of the colorbar. In this example only the range between -0.5 to 1.5 is show in the bar, while the colormap covers -2 to 2 (so this could be your data range, which you record before the scaling). So instead of scaling the colormap you scale your data and fit the colorbar to that.

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Plot imshow, contour, and filled contour plots. Plotting with Matplotlib ¶ Matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.

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#!/usr/bin/env python """ Illustrate simple contour plotting, contours on an image with a colorbar for the contours, and labelled contours. See also contour_image.py. """ import matplotlib import numpy as np import matplotlib.cm as cm import matplotlib.mlab as mlab import matplotlib.pyplot as plt matplotlib.rcParams['xtick.direction'] = 'out' matplotlib.rcParams['ytick.direction'] = 'out ...

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[I took your sample program as a starting point and adapted Colormap Normalization from the matplotlib wiki.]. Almost everything of the picture just looks red. Indeed. They problem is that there is a very narrow divergence in your data and because the colormap is scaled linearly almost all of the plot will be mapped to the lower limit of the colorbar.

Python+Matplotlib画contour图. contour图的参数调节. 如何添加colorbar. 我们先假设x, y的取值范围如下：

%matplotlib est une fonction dite magique de Jupyter (parce qu’elle commence par un %) et indique à matplotlib d’afficher les graphiques “en ligne”.Ceci est en réalité le comportement par défaut, donc nous pourrions nous passer de cette commande.

Sep 27, 2018 · More Matplotlib¶Matplotlib is the dominant plotting / visualization package in python. It is important to learn to use it well. In the last lecture, we saw some basic examples in the context of learning numpy. This week, we dive much deeper. The goal is to understand how matplotlib represents figures internally. I am trying to make a contour plot with defined levels and log norm. Below is an example: import matplotlib.pyplot as plt import numpy as np from matplotlib.colors import LogNorm delta = 0.025 x = y = np.arange(0, 3.01, delta) X, Y = np.meshgrid(x, y) Z1 = plt.mlab.bivariate_normal(X, 参考：Customized Colorbars Tutorial api example code: colorbar_only.py 自定义colorbar可以画出任何自己想要的 关于两者画图的一些实例可以参阅python matplotlib contour画等高线图，以及matplotlib中文文档. contourf([X, Y,] Z, [levels], **kwargs) # [ ]表示该参数是...

By default, matplotlib automatically sets the limits of your Axes based on the data that you plot. Because cartopy implements a GeoAxes class, this equates to the limits of the resulting map. Sometimes this autoscaling is a desirable feature and other times it is not. Type: import matplotlib.cm; matplotlib.cm.datad.keys() for available colormap names. contours - integer or list of numbers (default: None): If a list of colorbar_spacing - string (default: 'proportional'). If 'proportional', make the contour divisions proportional to values. If 'uniform', space the colorbar...

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