如何更好地光栅化绘图而不会模糊matplotlib中的标签？

由于matplotlib Artists可以进行栅格化,因此可以使用关键字栅格化设置为True来栅格化从Artist( http://matplotlib.sourceforge.net/api/artist_api.html)派生的任何类.所以你只能光栅化你的补丁.

我只是尝试了一些组合,它似乎工作.然而,质量似乎不是很好(另见http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg13276.html).

import numpy as np
import matplotlib.pyplot as plt 


def add_patch(ax,**kwargs):
    if 'rasterized' in kwargs and kwargs['rasterized']:
        ax.set_rasterization_zorder(0)
    ax.fill_between(np.arange(1,10),1,2,zorder=-1,**kwargs)
    ax.set_xlim(0,10) 
    ax.set_ylim(0,3)
    if 'alpha' in kwargs and kwargs['alpha'] < 1:
        txt = 'This patch is transparent!'
    else:
        txt = 'This patch is not transparent!'
    ax.text(5,1.5,txt,ha='center',va='center',fontsize=25,zorder=-2,rasterized=True)

fig,axes = plt.subplots(nrows=4,sharex=True)
add_patch(axes[0],alpha=0.2,rasterized=False)
add_patch(axes[1],rasterized=True)
add_patch(axes[2],rasterized=False)
add_patch(axes[3],rasterized=True)

plt.tight_layout()
plt.savefig('rasterized_transparency.eps')

我将eps转换为png以在浏览器中显示它：

另见：How to save figures to pdf as raster images in matplotlib.