为 Matplotlib 创建默认值集
我经常为自己的研究制作绘图，所有默认设置都很好，但经常必须切换到为演讲/演示设计绘图；我手动设置所有字体大小 大一点以便于阅读：
plot(xdata, ydata)
xlabel("x-axis data", fontsize=20)
ax = gca()
for labeltick in ax.xaxis.get_majorticklabels() + ax.yaxis.get_majorticklabels():
labeltick.set_fontsize(15)
等等。
感谢诸如这个之类的文档和问题，我知道如何当我启动 matplotlib 时控制默认绘图参数。我想写一些非常快的东西（mpl_defaults.py）：
import matplotlib as mpl
def plot_for_talks():
mpl.rcParams['font.size'] = 20
mpl.rcParams['figure.subplot.left'] = .2
mpl.rcParams['figure.subplot.right'] = .8
mpl.rcParams['figure.subplot.bottom'] = .2
mpl.rcParams['figure.subplot.top'] = .8
然后我的绘图代码可以只包括
import mpl_defaults
plot_for_talks()
我的问题：有没有更合适的方法来做到这一点？也许已经内置了一些东西？
I am frequently making plots for my own research and all of the default settings are fine, but often have to switch over to making plots designed for talks/presentations; I manually set all of the font sizes a bit bigger for easier reading:
plot(xdata, ydata)
xlabel("x-axis data", fontsize=20)
ax = gca()
for labeltick in ax.xaxis.get_majorticklabels() + ax.yaxis.get_majorticklabels():
labeltick.set_fontsize(15)
and so on.
Thanks to documentation and questions like this one I know how to control default plotting parameters when I start up matplotlib. I thought about writing something really quick (mpl_defaults.py):
import matplotlib as mpl
def plot_for_talks():
mpl.rcParams['font.size'] = 20
mpl.rcParams['figure.subplot.left'] = .2
mpl.rcParams['figure.subplot.right'] = .8
mpl.rcParams['figure.subplot.bottom'] = .2
mpl.rcParams['figure.subplot.top'] = .8
Then my plotting code could just include
import mpl_defaults
plot_for_talks()
My question: is there a more appropriate way to do this? Maybe something already built in?
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如果您按目录管理单独的演示模式，则可以在每个项目目录中放置一个 matplotlibrc 文件，并 matplotlib将使用当前目录中的目录。
If you manage your separate presentation modes by directories, you can put a matplotlibrc file in each project directory, and matplotlib will use the one in the current directory.
试试这个：
应该有一个“site-packages/matplotlib/mpl-data/matplotlibrc”文件，如文档 5.1 中所述。
使用 mpl.matplotlib_fname() 获取 rc 文件路径，并修改它以使设置永久有效。
Try this:
And there should be a "site-packages/matplotlib/mpl-data/matplotlibrc" file, described in doc 5.1.
Use mpl.matplotlib_fname() to get your rc file path, and modify it so the setting will be permanent.