blocks|key|367424|text|我使用了pyplot的axes对象来手动调整大小，而不使用GridSpec|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|367425|import+matplotlib.pyplot+as+plt
import+numpy+as+np
x+=+np.arange(0,+10,+0.2)
y+=+np.sin(x)

#+definitions+for+the+axes
left,+width+=+0.07,+0.65
bottom,+height+=+0.1,+.8
bottom_h+=+left_h+=+left%2Bwidth%2B0.02

rect_cones+=+[left,+bottom,+width,+height]
rect_box+=+[left_h,+bottom,+0.17,+height]

fig+=+plt.figure()

cones+=+plt.axes(rect_cones)
box+=+plt.axes(rect_box)

cones.plot(x,+y)

box.plot(y,+x)

plt.show()|code-block|syntax|javascript|367426|​|367427|📷|atomic|367428|367429|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/28f111de5baf64cc47910b2d08a551d9.png|imageAlt^0|4|6|B|4|T|8|0|0|0|0|1|0|0|0^^$0|@$1|2|3|4|5|6|7|Z|8|@$9|10|A|11|B|C]|$9|12|A|13|B|C]|$9|14|A|15|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|16|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|17|8|@]|D|@]|E|$]]|$1|M|3|N|5|O|7|18|8|@]|D|@$9|19|A|1A|1|1B]]|E|$]]|$1|P|3|L|5|6|7|1C|8|@]|D|@]|E|$]]|$1|Q|3|-4|5|6|7|1D|8|@]|D|@]|E|$]]]|R|$S|$5|T|U|V|E|$W|X|Y|-4]]]]

I used <code>pyplot</code>'s <code>axes</code> object to manually adjust the sizes without using <code>GridSpec</code>:
<pre><code>import matplotlib.pyplot as plt
import numpy as np
x = np.arange(0, 10, 0.2)
y = np.sin(x)

# definitions for the axes
left, width = 0.07, 0.65
bottom, height = 0.1, .8
bottom_h = left_h = left+width+0.02

rect_cones = [left, bottom, width, height]
rect_box = [left_h, bottom, 0.17, height]

fig = plt.figure()

cones = plt.axes(rect_cones)
box = plt.axes(rect_box)

cones.plot(x, y)

box.plot(y, x)

plt.show()
</code></pre>
<a href="https://i.stack.imgur.com/0xoSF.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/0xoSF.png" alt="enter image description here" /></a>

blocks|key|583256|text|您可以使用gridspec和figure|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|583257|import+numpy+as+np
import+matplotlib.pyplot+as+plt+
from+matplotlib+import+gridspec

#+generate+some+data
x+=+np.arange(0,+10,+0.2)
y+=+np.sin(x)

#+plot+it
fig+=+plt.figure(figsize=(8,+6))+
gs+=+gridspec.GridSpec(1,+2,+width_ratios=[3,+1])+
ax0+=+plt.subplot(gs[0])
ax0.plot(x,+y)
ax1+=+plt.subplot(gs[1])
ax1.plot(y,+x)

plt.tight_layout()
plt.savefig('grid_figure.pdf')|code-block|syntax|javascript|583258|​|583259|📷|atomic|583260|583261|entityMap|0|LINK|mutability|MUTABLE|url|http://matplotlib.org/users/gridspec.html|1|IMAGE|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/045b33bc77d085df532aec6d4dbbec5c.png|imageAlt^0|5|8|E|6|5|8|0|0|0|0|0|1|1|0|0^^$0|@$1|2|3|4|5|6|7|14|8|@$9|15|A|16|B|C]|$9|17|A|18|B|C]]|D|@$9|19|A|1A|1|1B]]|E|$]]|$1|F|3|G|5|H|7|1C|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|1D|8|@]|D|@]|E|$]]|$1|M|3|N|5|O|7|1E|8|@]|D|@$9|1F|A|1G|1|1H]]|E|$]]|$1|P|3|L|5|6|7|1I|8|@]|D|@]|E|$]]|$1|Q|3|-4|5|6|7|1J|8|@]|D|@]|E|$]]]|R|$S|$5|T|U|V|E|$W|X]]|Y|$5|Z|U|10|E|$11|12|13|-4]]]]

You can use <a href="http://matplotlib.org/users/gridspec.html" rel="noreferrer"><code>gridspec</code></a> and <code>figure</code>:
<pre><code>import numpy as np
import matplotlib.pyplot as plt 
from matplotlib import gridspec

# generate some data
x = np.arange(0, 10, 0.2)
y = np.sin(x)

# plot it
fig = plt.figure(figsize=(8, 6)) 
gs = gridspec.GridSpec(1, 2, width_ratios=[3, 1]) 
ax0 = plt.subplot(gs[0])
ax0.plot(x, y)
ax1 = plt.subplot(gs[1])
ax1.plot(y, x)

plt.tight_layout()
plt.savefig('grid_figure.pdf')
</code></pre>
<a href="https://i.stack.imgur.com/hKVwB.png" rel="noreferrer"><img src="https://i.stack.imgur.com/hKVwB.png" alt="enter image description here" /></a>

blocks|key|583342|text|可能最简单的方法是使用Customizing+Location+of+Subplot+Using+GridSpec中描述的subplot2grid。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|583343|ax+=+plt.subplot2grid((2,+2),+(0,+0))|code-block|syntax|javascript|583344|等于|583345|import+matplotlib.gridspec+as+gridspec
gs+=+gridspec.GridSpec(2,+2)
ax+=+plt.subplot(gs[0,+0])|583346|所以bmu的例子变成了：|583347|import+numpy+as+np
import+matplotlib.pyplot+as+plt

#+generate+some+data
x+=+np.arange(0,+10,+0.2)
y+=+np.sin(x)

#+plot+it
fig+=+plt.figure(figsize=(8,+6))
ax0+=+plt.subplot2grid((1,+3),+(0,+0),+colspan=2)
ax0.plot(x,+y)
ax1+=+plt.subplot2grid((1,+3),+(0,+2))
ax1.plot(y,+x)

plt.tight_layout()
plt.savefig('grid_figure.pdf')|583348|​|583349|📷|atomic|583350|583351|entityMap|0|LINK|mutability|MUTABLE|url|http://matplotlib.org/users/gridspec.html|1|IMAGE|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/f1d09c45dd06670c9818d648f6fa0ae7.png|imageAlt^0|1P|C|B|1A|0|0|0|0|0|0|0|0|0|1|1|0|0^^$0|@$1|2|3|4|5|6|7|1C|8|@$9|1D|A|1E|B|C]]|D|@$9|1F|A|1G|1|1H]]|E|$]]|$1|F|3|G|5|H|7|1I|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|1J|8|@]|D|@]|E|$]]|$1|M|3|N|5|H|7|1K|8|@]|D|@]|E|$I|J]]|$1|O|3|P|5|6|7|1L|8|@]|D|@]|E|$]]|$1|Q|3|R|5|H|7|1M|8|@]|D|@]|E|$I|J]]|$1|S|3|T|5|6|7|1N|8|@]|D|@]|E|$]]|$1|U|3|V|5|W|7|1O|8|@]|D|@$9|1P|A|1Q|1|1R]]|E|$]]|$1|X|3|T|5|6|7|1S|8|@]|D|@]|E|$]]|$1|Y|3|-4|5|6|7|1T|8|@]|D|@]|E|$]]]|Z|$10|$5|11|12|13|E|$14|15]]|16|$5|17|12|18|E|$19|1A|1B|-4]]]]

Probably the simplest way is using <code>subplot2grid</code>, described in <a href="http://matplotlib.org/users/gridspec.html" rel="nofollow noreferrer">Customizing Location of Subplot Using GridSpec</a>.
<pre><code>ax = plt.subplot2grid((2, 2), (0, 0))
</code></pre>
is equal to
<pre><code>import matplotlib.gridspec as gridspec
gs = gridspec.GridSpec(2, 2)
ax = plt.subplot(gs[0, 0])
</code></pre>
so bmu's example becomes:
<pre><code>import numpy as np
import matplotlib.pyplot as plt

# generate some data
x = np.arange(0, 10, 0.2)
y = np.sin(x)

# plot it
fig = plt.figure(figsize=(8, 6))
ax0 = plt.subplot2grid((1, 3), (0, 0), colspan=2)
ax0.plot(x, y)
ax1 = plt.subplot2grid((1, 3), (0, 2))
ax1.plot(y, x)

plt.tight_layout()
plt.savefig('grid_figure.pdf')
</code></pre>
<a href="https://i.stack.imgur.com/Wqbsr.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/Wqbsr.png" alt="enter image description here" /></a>

blocks|key|367654|text|以一种简单的方式，不同大小的子绘图也可以在没有gridspec的情况下完成|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|367655|plt.figure(figsize=(12,+6))
ax1+=+plt.subplot(2,3,1)
ax2+=+plt.subplot(2,3,2)
ax3+=+plt.subplot(2,3,3)
ax4+=+plt.subplot(2,1,2)
axes+=+[ax1,+ax2,+ax3,+ax4]|code-block|syntax|javascript|367656|​|367657|📷|atomic|367658|367659|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/5ee134ac6c27899b6b98bedda718546b.png|imageAlt^0|N|8|0|0|0|0|1|0|0|0^^$0|@$1|2|3|4|5|6|7|Z|8|@$9|10|A|11|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|12|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|13|8|@]|D|@]|E|$]]|$1|M|3|N|5|O|7|14|8|@]|D|@$9|15|A|16|1|17]]|E|$]]|$1|P|3|L|5|6|7|18|8|@]|D|@]|E|$]]|$1|Q|3|-4|5|6|7|19|8|@]|D|@]|E|$]]]|R|$S|$5|T|U|V|E|$W|X|Y|-4]]]]

In a simple way, different size sub plotting can also be done without <code>gridspec</code>:
<pre><code>plt.figure(figsize=(12, 6))
ax1 = plt.subplot(2,3,1)
ax2 = plt.subplot(2,3,2)
ax3 = plt.subplot(2,3,3)
ax4 = plt.subplot(2,1,2)
axes = [ax1, ax2, ax3, ax4]
</code></pre>
<img src="https://i.stack.imgur.com/6W3aE.png" alt="Output" />

I need to add two subplots to a figure. One subplot needs to be about three times as wide as the second (same height). I accomplished this using <code>GridSpec</code> and the <code>colspan</code> argument but I would like to do this using <code>figure</code> so I can save to PDF. I can adjust the first figure using the <code>figsize</code> argument in the constructor, but how do I change the size of the second plot?

Matplotlib different size subplots

我需要在图中添加两个子图。一个子图需要大约是第二个子图的三倍宽(相同的高度)。我使用GridSpec和colspan参数实现了这一点，但我想使用figure来完成这一点，这样我就可以保存为PDF。我可以使用构造函数中的figsize参数来调整第一个图形，但是如何更改第二个图的大小呢？

问Matplotlib不同大小的子图
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