如何减小绘图中打印的图例框中文本的字体？

发布于 2024-10-15 16:05:13 字数 717 浏览 10 评论 0原文

我试图在一张图中绘制大约 10 个图。我还可以单独放置图例框。但是，我无法减小图例框中字体的大小。任何人都可以建议我减小图例框中字体大小的程序。

我在此给出我所使用的说明：但最终结果并没有受到影响。

# Shink current axis's height by 10% on the bottom
  box = ax.get_position()
  ax.set_position([box.x0, box.y0, box.width * 0.90, box.height])

  # Put a legend to the right of the current axis
  ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), numpoints = 1)
  #plt.show()

  fontP = FontProperties()
  fontP.set_size ('x-small')

  filename1 = "DelayCellSpur"+ str(measuredFrequencyUnderTest)+"MHz.pdf"
  print filename1
  plt.savefig(filename1, dpi = None, facecolor = 'w', orientation = 'portrait',bbox_inches = None)

由于我是新用户，所以无法上传图片。请帮助我减小图例框中字体的大小。谢谢你，戈皮

原文

I am trying to plot around 10 plots in a single figure. I also could put the legend box separately. But, I am unable to reduce the size of the font in the legend box. Can anybody suggest me the procedure to reduce the font size in the lengend box.

I am herewith giving the instructions that I have used: But it is not getting affected in the end result.

# Shink current axis's height by 10% on the bottom
  box = ax.get_position()
  ax.set_position([box.x0, box.y0, box.width * 0.90, box.height])

  # Put a legend to the right of the current axis
  ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), numpoints = 1)
  #plt.show()

  fontP = FontProperties()
  fontP.set_size ('x-small')

  filename1 = "DelayCellSpur"+ str(measuredFrequencyUnderTest)+"MHz.pdf"
  print filename1
  plt.savefig(filename1, dpi = None, facecolor = 'w', orientation = 'portrait',bbox_inches = None)

As I am a new user, I am not able to upload the image. Pls help me in reducing the size of the font in the legend box.
Thankyou,
Gopi

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勿忘心安 2024-10-22 16:05:13

你正在使用 matplotlb，不是吗？

像这样的东西可能会有所帮助：

legend_font_props = FontProperties()
legend_font_props.set_size('small')
ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), numpoints=1, prop=legend_font_props)

请参阅 http://matplotlib.sourceforge.net/ api/pyplot_api.html#matplotlib.pyplot.legend

You're using matplotlb, aren't you?

Something like this may help:

legend_font_props = FontProperties()
legend_font_props.set_size('small')
ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), numpoints=1, prop=legend_font_props)

See http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.legend

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