python中水平方向的物理拉伸图
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physically stretch plot in horizontal direction in python
提问by Bachbold
I want a simple x,y plot created with matplotlib stretched physically in x-direction.
The intention is to get a result were it is easier for me to detect features in the signal.
我想要一个简单的 x,y 图，用 matplotlib 创建，在 x 方向上物理拉伸。
目的是获得结果，因为我更容易检测信号中的特征。
So I don't want to change any scales or values or limits. Just change the distance between two gridpoint in my output file...
所以我不想改变任何尺度、值或限制。只需更改输出文件中两个网格点之间的距离...
I want to do that on four subplots which should have the same size afterwards.
我想在四个子图上这样做，之后应该具有相同的大小。
Thanks in advance... I tried for hours now and I think one of you could probably help me...
提前致谢...我现在尝试了几个小时，我想你们中的一个人可能会帮助我...
David Zwicker already solved my problem in this special case, thanks a lot for that, but in general... If I plot 2 subplots like in this code:
David Zwicker 已经在这个特殊情况下解决了我的问题，非常感谢，但总的来说......如果我在这段代码中绘制 2 个子图：
fig = plt.figure()
ax1 = fig.add_subplot(1,2,1)
plot(u_av,z)
ax2 = fig.add_subplot(1,2,2)
plot(pgrd_av,z)
clf()
and want to stretch only one of them. What can I do?
并且只想拉伸其中之一。我能做什么？
采纳答案by jmz
You can directly add axes to the canvas at an arbitrary position with plt.axes(). For instance:
您可以使用 将轴直接添加到画布的任意位置plt.axes()。例如：
ax1 = plt.axes([0, 0, 3, 0.5])
ax2 = plt.axes([0, 0.6, 1, 1])
回答by David Zwicker
You can change the figure size by using plt.figure(figsize=(20,5)). See the documentation of the figure command.
回答by Jyotirmay
I know, this is a bit out of the context. But if someone is looking for a solution while using pandas plot which internally uses matplotlib. Here is the solution.
我知道，这有点脱离上下文。但是，如果有人在使用内部使用 matplotlib 的 Pandas 绘图时正在寻找解决方案。这是解决方案。
df.plot('col_x', 'col_y', title='stretched_plot', figsize=(20, 1))
