blocks|key|4479338|text|阅读文档：matplotlib.pyplot.subplots|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|4479339|pyplot.subplots()返回一个元组fig,+ax，该元组使用表示法在两个变量中解包|style|CODE|4479340|fig,+axes+=+plt.subplots(nrows=2,+ncols=2)|code-block|syntax|javascript|4479341|代码：|4479342|fig+=+plt.figure()
axes+=+fig.subplots(nrows=2,+ncols=2)|4479343|不起作用，因为subplots()是pyplot中的函数，而不是对象Figure的成员。|4479344|entityMap|0|LINK|mutability|MUTABLE|url|http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.subplots^0|5|Q|0|0|0|H|N|7|0|0|0|0|7|A|I|6|Y|6|0^^$0|@$1|2|3|4|5|6|7|10|8|@]|9|@$A|11|B|12|1|13]]|C|$]]|$1|D|3|E|5|6|7|14|8|@$A|15|B|16|F|G]|$A|17|B|18|F|G]]|9|@]|C|$]]|$1|H|3|I|5|J|7|19|8|@]|9|@]|C|$K|L]]|$1|M|3|N|5|6|7|1A|8|@]|9|@]|C|$]]|$1|O|3|P|5|J|7|1B|8|@]|9|@]|C|$K|L]]|$1|Q|3|R|5|6|7|1C|8|@$A|1D|B|1E|F|G]|$A|1F|B|1G|F|G]|$A|1H|B|1I|F|G]]|9|@]|C|$]]|$1|S|3|-4|5|6|7|1J|8|@]|9|@]|C|$]]]|T|$U|$5|V|W|X|C|$Y|Z]]]]

Read the documentation: <a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.subplots" rel="nofollow noreferrer">matplotlib.pyplot.subplots</a>
<code>pyplot.subplots()</code> returns a tuple <code>fig, ax</code> which is unpacked in two variables using the notation
<pre><code>fig, axes = plt.subplots(nrows=2, ncols=2)
</code></pre>
The code:
<pre><code>fig = plt.figure()
axes = fig.subplots(nrows=2, ncols=2)
</code></pre>
does not work because <code>subplots()</code> is a function in <code>pyplot</code> not a member of the object <code>Figure</code>.

blocks|key|4480275|text|有几种方法可以做到这一点。subplots方法创建图形以及随后存储在ax数组中的子图。例如：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|4480276|import+matplotlib.pyplot+as+plt

x+=+range(10)
y+=+range(10)

fig,+ax+=+plt.subplots(nrows=2,+ncols=2)

for+row+in+ax:
++++for+col+in+row:
++++++++col.plot(x,+y)

plt.show()|code-block|syntax|javascript|4480277|​|4480278|📷|atomic|4480279|4480280|然而，像这样的东西也可以工作，虽然它不是那么“干净”，因为你正在创建一个带有子图的图形，然后在它们上面添加：|4480281|fig+=+plt.figure()

plt.subplot(2,+2,+1)
plt.plot(x,+y)

plt.subplot(2,+2,+2)
plt.plot(x,+y)

plt.subplot(2,+2,+3)
plt.plot(x,+y)

plt.subplot(2,+2,+4)
plt.plot(x,+y)

plt.show()|4480282|4480283|4480284|4480285|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/8e27de7a9407da6a1ed8d2ea84f62779.png|imageAlt|1|https://ask.qcloudimg.com/http-save/yehe-900000/4124c3fad6f1e5eb1d3f712b05188f11.png^0|D|8|Y|2|0|0|0|0|1|0|0|0|0|0|0|0|1|1|0|0^^$0|@$1|2|3|4|5|6|7|18|8|@$9|19|A|1A|B|C]|$9|1B|A|1C|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|1D|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|1E|8|@]|D|@]|E|$]]|$1|M|3|N|5|O|7|1F|8|@]|D|@$9|1G|A|1H|1|1I]]|E|$]]|$1|P|3|L|5|6|7|1J|8|@]|D|@]|E|$]]|$1|Q|3|R|5|6|7|1K|8|@]|D|@]|E|$]]|$1|S|3|T|5|H|7|1L|8|@]|D|@]|E|$I|J]]|$1|U|3|L|5|6|7|1M|8|@]|D|@]|E|$]]|$1|V|3|N|5|O|7|1N|8|@]|D|@$9|1O|A|1P|1|1Q]]|E|$]]|$1|W|3|L|5|6|7|1R|8|@]|D|@]|E|$]]|$1|X|3|-4|5|6|7|1S|8|@]|D|@]|E|$]]]|Y|$Z|$5|10|11|12|E|$13|14|15|-4]]|16|$5|10|11|12|E|$13|17|15|-4]]]]

There are several ways to do it. The <code>subplots</code> method creates the figure along with the subplots that are then stored in the <code>ax</code> array. For example:

<pre><code>import matplotlib.pyplot as plt

x = range(10)
y = range(10)

fig, ax = plt.subplots(nrows=2, ncols=2)

for row in ax:
 for col in row:
 col.plot(x, y)

plt.show()
</code></pre>

<a href="https://i.stack.imgur.com/2JxAs.png" rel="noreferrer"><img src="https://i.stack.imgur.com/2JxAs.png" alt="enter image description here"></a>

However, something like this will also work, it's not so "clean" though since you are creating a figure with subplots and then add on top of them:

<pre><code>fig = plt.figure()

plt.subplot(2, 2, 1)
plt.plot(x, y)

plt.subplot(2, 2, 2)
plt.plot(x, y)

plt.subplot(2, 2, 3)
plt.plot(x, y)

plt.subplot(2, 2, 4)
plt.plot(x, y)

plt.show()
</code></pre>

<a href="https://i.stack.imgur.com/0EiUD.png" rel="noreferrer"><img src="https://i.stack.imgur.com/0EiUD.png" alt="enter image description here"></a>

blocks|key|4479455|text|import+matplotlib.pyplot+as+plt

fig,+ax+=+plt.subplots(2,+2)

ax[0,+0].plot(range(10),+'r')+#row=0,+col=0
ax[1,+0].plot(range(10),+'b')+#row=1,+col=0
ax[0,+1].plot(range(10),+'g')+#row=0,+col=1
ax[1,+1].plot(range(10),+'k')+#row=1,+col=1
plt.show()|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|4479456|​|unstyled|4479457|📷|atomic|offset|length|4479458|4479459|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/4d9471925081f6b6f56d97d61253c075.jpeg|imageAlt^0|0|0|0|1|0|0|0^^$0|@$1|2|3|4|5|6|7|V|8|@]|9|@]|A|$B|C]]|$1|D|3|E|5|F|7|W|8|@]|9|@]|A|$]]|$1|G|3|H|5|I|7|X|8|@]|9|@$J|Y|K|Z|1|10]]|A|$]]|$1|L|3|E|5|F|7|11|8|@]|9|@]|A|$]]|$1|M|3|-4|5|F|7|12|8|@]|9|@]|A|$]]]|N|$O|$5|P|Q|R|A|$S|T|U|-4]]]]

<pre><code>import matplotlib.pyplot as plt

fig, ax = plt.subplots(2, 2)

ax[0, 0].plot(range(10), 'r') #row=0, col=0
ax[1, 0].plot(range(10), 'b') #row=1, col=0
ax[0, 1].plot(range(10), 'g') #row=0, col=1
ax[1, 1].plot(range(10), 'k') #row=1, col=1
plt.show()
</code></pre>

<a href="https://i.stack.imgur.com/jMSQV.jpg" rel="noreferrer"><img src="https://i.stack.imgur.com/jMSQV.jpg" alt="enter image description here"></a>

blocks|key|4479473|text|如果您真的想使用循环，请执行以下操作：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4479474|def+plot(data):
++++fig+=+plt.figure(figsize=(100,+100))
++++for+idx,+k+in+enumerate(data.keys(),+1):
++++++++x,+y+=+data[k].keys(),+data[k].values
++++++++plt.subplot(63,+10,+idx)
++++++++plt.bar(x,+y)++
++++plt.show()|code-block|syntax|javascript|4479475|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

Go with the following if you really want to use a loop:
<pre><code>def plot(data):
 fig = plt.figure(figsize=(100, 100))
 for idx, k in enumerate(data.keys(), 1):
 x, y = data[k].keys(), data[k].values
 plt.subplot(63, 10, idx)
 plt.bar(x, y) 
 plt.show()
</code></pre>

blocks|key|4479489|text|按顺序遍历所有子图：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4479490|fig,+axes+=+plt.subplots(nrows,+ncols)

for+ax+in+axes.flatten():
++++ax.plot(x,y)|code-block|syntax|javascript|4479491|访问特定索引：|4479492|for+row+in+range(nrows):
++++for+col+in+range(ncols):
++++++++axes[row,col].plot(x[row],+y[col])|4479493|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|N|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|O|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

Iterating through all subplots sequentially:
<pre class="lang-py prettyprint-override"><code>fig, axes = plt.subplots(nrows, ncols)

for ax in axes.flatten():
 ax.plot(x,y)
</code></pre>
Accessing a specific index:
<pre class="lang-py prettyprint-override"><code>for row in range(nrows):
 for col in range(ncols):
 axes[row,col].plot(x[row], y[col])
</code></pre>

blocks|key|4479522|text|这是一个简单的解决方案|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4479523|fig,+ax+=+plt.subplots(nrows=2,+ncols=3,+sharex=True,+sharey=False)
for+sp+in+fig.axes:
++++sp.plot(range(10))|code-block|syntax|javascript|4479524|​|4479525|📷|atomic|offset|length|4479526|4479527|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/592f3a08c0b7e0e5fb3cfd59282ed869.png|imageAlt^0|0|0|0|0|1|0|0|0^^$0|@$1|2|3|4|5|6|7|X|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|Y|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Z|8|@]|9|@]|A|$]]|$1|I|3|J|5|K|7|10|8|@]|9|@$L|11|M|12|1|13]]|A|$]]|$1|N|3|H|5|6|7|14|8|@]|9|@]|A|$]]|$1|O|3|-4|5|6|7|15|8|@]|9|@]|A|$]]]|P|$Q|$5|R|S|T|A|$U|V|W|-4]]]]

here is a simple solution
<pre><code>fig, ax = plt.subplots(nrows=2, ncols=3, sharex=True, sharey=False)
for sp in fig.axes:
 sp.plot(range(10))
</code></pre>
<a href="https://i.stack.imgur.com/5dBZe.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/5dBZe.png" alt="Output" /></a>

I am a little confused about how this code works:

<pre><code>fig, axes = plt.subplots(nrows=2, ncols=2)
plt.show()
</code></pre>

How does the fig, axes work in this case? What does it do?

Also why wouldn't this work to do the same thing:

<pre><code>fig = plt.figure()
axes = fig.subplots(nrows=2, ncols=2)
</code></pre>

How to plot in multiple subplots

我对这段代码的工作原理有点困惑：fig, axes = plt.subplots(nrows=2, ncols=2)plt.show()在这种情况下，无花果轴是如何工作的？是干什么的呢？还有，为什么这个不能做同样的事情：fig = plt.figure()axes = fig.subplots(nrows=2, nco...

问如何在多个子图中进行绘图
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