Python 如何在 Matplotlib 中设置默认颜色图
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How to set default colormap in Matplotlib
提问by Jarno
Especially when working with grayscale images it is tedious to set the color map for every imshowcommand as imshow(i, cmap='gray'). How can I set the default color map matplotlib uses to grayscale or any other colormap?
特别是在处理灰度图像时，将每个imshow命令的颜色映射设置为imshow(i, cmap='gray'). 如何将 matplotlib 使用的默认颜色图设置为灰度或任何其他颜色图？
采纳答案by Jarno
To change the default colormap only for the current interactive session or one script use
仅更改当前交互式会话或一个脚本的默认颜色图，请使用
import matplotlib as mpl
mpl.rc('image', cmap='gray')
For versions of matplotlibprior to 2.0 you have to use the rcParams dict. This still works in newer versions.
对于matplotlib2.0 之前的版本，您必须使用 rcParams dict。这仍然适用于较新的版本。
import matplotlib.pyplot as plt
plt.rcParams['image.cmap'] = 'gray'
To change the default colormap permanently edit the matplotlibrc configuration file and add the line image.cmap: gray.
Replace the value gray with any other valid colormap according to your needs.
The config file should be at ~/.config/matplotlib/matplotlibrc, but you can find out the exact location with
要永久更改默认颜色图，请编辑 matplotlibrc 配置文件并添加行image.cmap: gray. 根据您的需要，将灰色值替换为任何其他有效的颜色图。配置文件应该在 ~/.config/matplotlib/matplotlibrc，但你可以找到确切的位置
mpl.matplotlib_fname()
This is especially useful if you have multiple matplotlib versions in different virtual environments.
如果您在不同的虚拟环境中有多个 matplotlib 版本，这将特别有用。
See also http://txt.arboreus.com/2014/10/21/how-to-set-default-colormap-in-matplotlib.htmland for general configuration of Matplotlib http://matplotlib.org/users/customizing.html
另请参阅http://txt.arboreus.com/2014/10/21/how-to-set-default-colormap-in-matplotlib.html以及 Matplotlib 的一般配置http://matplotlib.org/users/customizing .html
回答by Shital Shah
You can do either,
你可以这样做，
plt.set_cmap('jet')
or
或者
plt.rcParams['image.cmap']='jet'
However note that if you are passing value for colorparameter in any of the APIs then this default will be ignored. In that case you should do something like this:
但是请注意，如果您color在任何 API 中为参数传递值，则此默认值将被忽略。在这种情况下，您应该执行以下操作：
color = plt.cm.hsv(r) # r is 0 to 1 inclusive
line = matplotlib.lines.Line2D(xdata, ydata, color=color)
