fig.savefig('equal.png') ax.set_aspect('auto') fig.savefig('auto.png') forceAspect(ax,aspect=1) fig.savefig('force.png') 这是’force.png’: 以下是我不成功的,但希望能提供信息的尝试。 第二个答案: 我在下面的“原始答案”过于矫枉过正,因为它的作用类似
because different styles may have different numbers of colors. """ for sty_dict, j in zip(plt.rcParams['axes.prop_cycle'], range(nb_samples)): ax.add_patch(plt.Circle(prng.normal(scale=3, size=2), radius=1.0, color=sty_dict['color'])) # Force the ...
最近在学习python绘制图形的相关知识,学习到了这几个库,所以想请教一下各位知友。希望用python来做数据挖掘相关的任务。 想问问各位知友,pyt…显示全部 关注者16,556 被浏览3,122,264 关注问题写回答 邀请回答 好问题 299 13 条评论 分享 361 个回答 默认排序 peter pandas 开源贡献...
Hi @mlynn1 - it looks like sharing forces the aspect ratio to be equal. As you say, setting the aspect to 'auto' stretches the image. The only other behaviour I can come up with is being able to reduce the size of the actual Axes itself. Is that what you had in mind? As far ...
more tweaks to aspect-ratio handling; fixed Axes.specgram to account for the new imshow default of unit aspect ratio; made contour set the Axes.dataLim. - EF2006-03-31 Fixed the Qt "Underlying C/C++ object deleted" bug. - JRE2006...
Some changes (such as modifying properties of lines that are already drawn) will not draw automatically; to force an update, use plt.draw(). Using plt.show() in Matplotlib mode is not required. Plotting from an IPython notebook The IPython notebook is a browser-based interactive data ...
Force a specific file format. If not given, the format is inferred from the filename extension, and if that fails from :rc:`savefig.format`. bbox_inches‘tight’ or Bbox, default: :rc:`savefig.bbox` Bounding box in inches: only the given portion of the figure is saved. I...
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The kwarg signature has changed, so consult the docs MaxNLocator accepts a new Boolean kwarg ('integer') to force ticks to integer locations. Commands that pass an argument to the Text constructor or to Text.set_text() now accept any object that can be converted with '%s'. This affects...
import matplotlib.pyplot as plt import numpy as np def forceAspect(ax,aspect=1): im = ax.get_images() extent = im[0].get_extent() ax.set_aspect(abs((extent[1]-extent[0])/(extent[3]-extent[2]))/aspect) data = np.random.rand(10,20) fig = plt.figure() ax = fig.add_subplo...