Matplotlib，全局设置刻度数.X 轴、Y 轴、颜色条 [英] Matplotlib, globally set number of ticks. X-axis, Y-axis, colorbar

问题描述

对于我喜欢使用的字体大小，我发现 5 个刻度是在 matplotlib 中几乎每个轴上视觉上最令人愉悦的刻度数.我也喜欢修剪沿 x 轴的最小刻度以避免重叠刻度标签.因此，对于几乎每个情节，我都使用以下代码进行查找.

For the font size I like to use I've found that 5 ticks is the most visually pleasing number of ticks across pretty much every axis in matplotlib. I also like to prune the smallest tick along the x-axis to avoid overlapping tick lables. So for almost every plot I make I find myself using the following code.

from matplotlib import pyplot as plt
from matplotlib.ticker import MaxNLocator

plt.imshow( np.random.random(100,100) )
plt.gca().xaxis.set_major_locator( MaxNLocator(nbins = 7, prune = 'lower') )
plt.gca().yaxis.set_major_locator( MaxNLocator(nbins = 6) )
cbar = plt.colorbar()
cbar.locator = MaxNLocator( nbins = 6)
plt.show()

是否有我可以使用的 rc 设置，以便我的 x 轴、y 轴和颜色条的默认定位器默认是上述 MaxNLocator，在 x 轴上带有修剪选项?

Is there an rc setting I can use so that the default locator for my x-axis, y-axis, and colorbar is by default the above MaxNLocator with the prune option on the x axis?

推荐答案

为什么不编写一个自定义模块 myplotlib 来设置这些默认值?

Why don't you just write a custom module myplotlib that sets these defaults as you like them?

import myplt
myplt.setmydefaults()

全局rc设置可能会破坏依赖于这些设置而不进行修改的其他应用程序.

A global rc setting might break other applications that rely on these settings to be not modified.

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