Matplotlib 2字体不一致 [英] Matplotlib 2 inconsistent font
问题描述
我将Anaconda Python更新到了最新版本(4.3)，在那里他们将Matplotlib升级到了版本2.
升级对默认样式进行了一些重大更改(
如何恢复到以前的行为(见下图)或一致的字体方案?
编辑:使用Latex后端，我可以获得不错的结果，但是速度非常慢.无论如何，我认为内部后端应该能够获得一致的输出，切换到不同的后端并不是真正的解决方案，而是一种解决方法.
要使用乳胶后端，请执行以下操作:
#％matplotlib内联#％matplotlib笔记本#%config InlineBackend.figure_format = 'svg'导入scipy作为sc导入matplotlib.pyplot作为plt导入 matplotlib# http://matplotlib.org/users/dflt_style_changes.htmlparams = {'legend.fontsize':18，'axes.labelsize':18，'axes.titlesize': 18,'xtick.labelsize':12，'ytick.labelsize': 12,'mathtext.fontset':'cm'，'mathtext.rm': '衬线','grid.color': 'k','grid.linestyle': ':','grid.linewidth': 0.5,}matplotlib.rcParams.update(params)matplotlib.rcParams.update({'text.usetex':True，'text.latex.preamble':[r'\ usepackage {amsmath，newtxmath}']})x = sc.linspace(0,100)y = x ** 2无花果= plt.figure('Fig')ax = fig.add_subplot(1, 1, 1)线= ax.semilogy(x，y)ax.set_yticks([300]，minor = True)ax.yaxis.grid(True, which='minor')ax.yaxis.set_minor_formatter(matplotlib.ticker.ScalarFormatter())ax.tick_params(axis ='y'，pad = 10)ax.set_xlabel(r'$ \ mathrm {R_L} $')ax.set_ylabel(r'$\sigma \int_l \; dx$')#fig.savefig('./PNG/test.png'，dpi = 300，bbox_inches ='tight')matplotlib 2 的结果是:
使用较旧版本生成的图是(仍然有些不同，可能是由于某些乳胶的不同):
但同样，所需的结果是从较旧版本的matplotlib获得的结果，如图2所示.
在试图找到我的问题的解决方案时，我尝试比较新旧 rcParams 的字典并设置与 mathtext 字体不同且相关的元素:效果很好.
代码是:
#%matplotlib 内联#%matplotlib 笔记本#%config InlineBackend.figure_format = 'svg'将 scipy 作为 sc 导入导入matplotlib.pyplot作为plt导入 matplotlib#http://matplotlib.org/users/dflt_style_changes.html参数 = {'legend.fontsize': 18,'axes.labelsize': 18,'axes.titlesize':18，'xtick.labelsize':12，'ytick.labelsize':12，'mathtext.fontset':'cm'，'mathtext.rm': '衬线','mathtext.bf':'serif:bold'，'mathtext.it':'serif:italic'，'mathtext.sf': 'sans\\-serif','grid.color':'k'，'grid.linestyle':':'，'grid.linewidth': 0.5,}matplotlib.rcParams.update(params)#matplotlib.rcParams.update({'text.usetex':True，'text.latex.preamble':[r'\ usepackage {amsmath，newtxmath}']})#matplotlib.rcParams.update({'text.usetex':True，'text.latex.preamble':[r'\ usepackage {amsmath，mathptmx}']})#matplotlib.rcParams.update({'text.usetex':True, 'text.latex.preamble':[r'\usepackage{amsmath}']})x = sc.linspace(0,100)y = x ** 2无花果= plt.figure('Fig')ax = fig.add_subplot(1, 1, 1)线= ax.semilogy(x，y)ax.set_yticks([300]，minor = True)ax.yaxis.grid(True, which='minor')ax.yaxis.set_minor_formatter(matplotlib.ticker.ScalarFormatter())ax.tick_params(axis ='y'，pad = 10)ax.set_xlabel(r'$\mathrm{R_L}$')ax.set_ylabel(r'$ \ sigma \ int_l \; dx $')fig.savefig('./PNG/test.png', dpi=300, bbox_inches='tight')因此还要补充:
'mathtext.rm': 'serif','mathtext.bf':'serif:bold'，'mathtext.it':'serif:italic'，'mathtext.sf':'sans \\-serif'，其结果是:
我认为在Latex文档中非常好且一致.
@ImportanceOfBeingErnest 在此线程中的另一个 答案 也很简洁.
I updated Anaconda Python to the latest version (4.3), where they upgraded Matplotlib to version 2.
The upgrade has made some major changes to the default style (see here). And, while I really like some of those changes, I am not in agreement with a few of them.
Hence I did some modifications, as suggested in the link above:
#%matplotlib inline
#%config InlineBackend.figure_format = 'svg'
import scipy as sc
import matplotlib.pyplot as plt
import matplotlib
# http://matplotlib.org/users/dflt_style_changes.html
params = {'legend.fontsize': 18,
'axes.labelsize': 18,
'axes.titlesize': 18,
'xtick.labelsize' :12,
'ytick.labelsize': 12,
'mathtext.fontset': 'cm',
'mathtext.rm': 'serif',
'grid.color': 'k',
'grid.linestyle': ':',
'grid.linewidth': 0.5,
}
matplotlib.rcParams.update(params)
x = sc.linspace(0,100)
y = x**2
fig = plt.figure('Fig')
ax = fig.add_subplot(1, 1, 1)
lines = ax.semilogy(x, y)
ax.set_yticks([300], minor=True)
ax.yaxis.grid(True, which='minor')
ax.yaxis.set_minor_formatter(matplotlib.ticker.ScalarFormatter())
ax.tick_params(axis='y', pad=10)
ax.set_xlabel(r'$\mathrm{R_L}$')
ax.set_ylabel(r'$\sigma \int_l \; dx$')
#fig.savefig('./PNG/test.png', dpi=300, bbox_inches='tight')
Using Latex as the axes labels, as in the code above, results in a figure with inconsistent text on axes (see the following image).
How to get back to the previous behaviour (see the image below) or to a consistent font scheme?
EDIT: Using the Latex back-end I am able to get a good result, but it is extremely slow. Anyway, I think the internal back-end should be able to get a consistent output and switching to a different back-end is not a real solution, but more a workaround.
To use the latex back-end:
#%matplotlib inline
#%matplotlib notebook
#%config InlineBackend.figure_format = 'svg'
import scipy as sc
import matplotlib.pyplot as plt
import matplotlib
# http://matplotlib.org/users/dflt_style_changes.html
params = {'legend.fontsize': 18,
'axes.labelsize': 18,
'axes.titlesize': 18,
'xtick.labelsize' :12,
'ytick.labelsize': 12,
'mathtext.fontset': 'cm',
'mathtext.rm': 'serif',
'grid.color': 'k',
'grid.linestyle': ':',
'grid.linewidth': 0.5,
}
matplotlib.rcParams.update(params)
matplotlib.rcParams.update({'text.usetex':True, 'text.latex.preamble':[r'\usepackage{amsmath, newtxmath}']})
x = sc.linspace(0,100)
y = x**2
fig = plt.figure('Fig')
ax = fig.add_subplot(1, 1, 1)
lines = ax.semilogy(x, y)
ax.set_yticks([300], minor=True)
ax.yaxis.grid(True, which='minor')
ax.yaxis.set_minor_formatter(matplotlib.ticker.ScalarFormatter())
ax.tick_params(axis='y', pad=10)
ax.set_xlabel(r'$\mathrm{R_L}$')
ax.set_ylabel(r'$\sigma \int_l \; dx$')
#fig.savefig('./PNG/test.png', dpi=300, bbox_inches='tight')
The result with matplotlib 2 is:
The resulting plot with the older version is (still a bit different, maybe due to some latex differences):
But again, the desired result is what obtained from an older version of matplotlib and in displayed in figure 2.
While trying to find a solution to my question, I tried comparing the dictionaries of the old and new rcParams and setting the elements which were different and related to mathtext font: the result is quite good.
The code is:
#%matplotlib inline
#%matplotlib notebook
#%config InlineBackend.figure_format = 'svg'
import scipy as sc
import matplotlib.pyplot as plt
import matplotlib
# http://matplotlib.org/users/dflt_style_changes.html
params = {'legend.fontsize': 18,
'axes.labelsize': 18,
'axes.titlesize': 18,
'xtick.labelsize' :12,
'ytick.labelsize': 12,
'mathtext.fontset': 'cm',
'mathtext.rm': 'serif',
'mathtext.bf': 'serif:bold',
'mathtext.it': 'serif:italic',
'mathtext.sf': 'sans\\-serif',
'grid.color': 'k',
'grid.linestyle': ':',
'grid.linewidth': 0.5,
}
matplotlib.rcParams.update(params)
#matplotlib.rcParams.update({'text.usetex':True, 'text.latex.preamble':[r'\usepackage{amsmath, newtxmath}']})
#matplotlib.rcParams.update({'text.usetex':True, 'text.latex.preamble':[r'\usepackage{amsmath, mathptmx}']})
#matplotlib.rcParams.update({'text.usetex':True, 'text.latex.preamble':[r'\usepackage{amsmath}']})
x = sc.linspace(0,100)
y = x**2
fig = plt.figure('Fig')
ax = fig.add_subplot(1, 1, 1)
lines = ax.semilogy(x, y)
ax.set_yticks([300], minor=True)
ax.yaxis.grid(True, which='minor')
ax.yaxis.set_minor_formatter(matplotlib.ticker.ScalarFormatter())
ax.tick_params(axis='y', pad=10)
ax.set_xlabel(r'$\mathrm{R_L}$')
ax.set_ylabel(r'$\sigma \int_l \; dx$')
fig.savefig('./PNG/test.png', dpi=300, bbox_inches='tight')
hence adding also:
'mathtext.rm': 'serif',
'mathtext.bf': 'serif:bold',
'mathtext.it': 'serif:italic',
'mathtext.sf': 'sans\\-serif',
which results in:
that I consider quite good and consistent in a Latex document.
The other answer in this thread from @ImportanceOfBeingErnest is also neat and nice.
这篇关于Matplotlib 2字体不一致的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
