Python Matplotlib“粗体”字体
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Matplotlib 'bold' font
提问by user1915817
Following this example:
按照这个例子:
import numpy as np
import matplotlib.pyplot as plt
fig = plt.figure()
for i, label in enumerate(('A', 'B', 'C', 'D')):
ax = fig.add_subplot(2,2,i+1)
ax.text(0.05, 0.95, label, transform=ax.transAxes,
fontsize=16, fontweight='bold', va='top')
plt.show()
I get this output:
我得到这个输出:
Why are my labels normal weight, while the documentation shows this should create bold letters A
, B
, C
, D
?
为什么我的标签重量正常,而文档显示这应该创建粗体字母A
, B
, C
, D
?
I also get this warning:
我也收到此警告:
Warning (from warnings module):
File "C:\Python27\lib\site-packages\matplotlib\font_manager.py", line 1228
UserWarning)
UserWarning: findfont: Could not match :family=Bitstream Vera Sans:style=italic:variant=normal:weight=bold:stretch=normal:size=x-small. Returning C:\Python27\lib\site-packages\matplotlib\mpl-data\fonts\ttf\Vera.ttf
回答by kibitzforu
Not sure if you're still having the issue. I tried your code in Anaconda/Spyder, Python 2.7. The plots appear with Bold labels (A,B,C,D). I agree the issue is probably with the library. Try replacing / updating font_manager.py or confirming font files are present:
不确定您是否仍然遇到问题。我在 Anaconda/Spyder、Python 2.7 中尝试了您的代码。绘图显示为粗体标签(A、B、C、D)。我同意这个问题可能与图书馆有关。尝试替换/更新 font_manager.py 或确认字体文件存在:
Lib\site-packages\matplotlib\mpl-data\fonts\ttf\
Lib\site-packages\matplotlib\mpl-data\fonts\ttf\
回答by Dinesh
Maybe try using this -
也许尝试使用这个 -
plt.rcParams['axes.labelsize'] = 16
plt.rcParams['axes.labelweight'] = 'bold'
Do this at a global level in your program.
在您的程序中在全局级别执行此操作。
回答by Safwan
Try using weight
instead of fontweight
.
尝试使用weight
代替fontweight
.
回答by Markus Dutschke
The example from your question works on my machine. Hence you definately have a library problem. Have you considered using latex to make bold text? Here an example
您问题中的示例适用于我的机器。因此,您肯定有图书馆问题。您是否考虑过使用乳胶来制作粗体文字?这里有一个例子
Code
代码
import numpy as np
import matplotlib.pyplot as plt
fig, axs = plt.subplots(3, 1)
ax0, ax1, ax2 = axs
ax0.text(0.05, 0.95, 'example from question',
transform=ax0.transAxes, fontsize=16, fontweight='bold', va='top')
ax1.text(0.05, 0.8, 'you can try \textbf{this} using \LaTeX', usetex=True,
transform=ax1.transAxes, fontsize=16, va='top')
ax2.text(0.05, 0.95,
'or $\bf{this}$ (latex math mode with things like '
'$x_\mathrm{test}^2$)',
transform=ax2.transAxes, fontsize=10, va='top')
plt.show()