blocks|key|1368891|text|例如，可以使用figure创建新打印，或在第一个打印后使用close。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1368892|entityMap^0|7|6|T|5|0^^$0|@$1|2|3|4|5|6|7|H|8|@$9|I|A|J|B|C]|$9|K|A|L|B|C]]|D|@]|E|$]]|$1|F|3|-4|5|6|7|M|8|@]|D|@]|E|$]]]|G|$]]

You can use <code>figure</code> to create a new plot, for example, or use <code>close</code> after the first plot.

blocks|key|1368945|text|有一个清晰的图形命令，它应该能帮你做到这一点：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1368946|plt.clf()|code-block|syntax|javascript|1368947|如果在同一张图中有多个子图|1368948|plt.cla()|1368949|清除当前轴。|1368950|entityMap^0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Q|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|R|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|6|7|S|8|@]|9|@]|A|$]]|$1|M|3|-4|5|6|7|T|8|@]|9|@]|A|$]]]|N|$]]

There is a clear figure command, and it should do it for you:

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

If you have multiple subplots in the same figure

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

clears the current axes.

blocks|key|1584139|text|如David+Cournapeau所述，使用图()。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1584140|import+matplotlib
import+matplotlib.pyplot+as+plt
import+matplotlib.mlab+as+mlab

plt.figure()
x+=+[1,10]
y+=+[30,+1000]
plt.loglog(x,+y,+basex=10,+basey=10,+ls="-")
plt.savefig("first.ps")


plt.figure()
x+=+[10,100]
y+=+[10,+10000]
plt.loglog(x,+y,+basex=10,+basey=10,+ls="-")
plt.savefig("second.ps")|code-block|syntax|javascript|1584141|或者子图(121)/子图(122)用于相同的图，不同的位置。|1584142|import+matplotlib
import+matplotlib.pyplot+as+plt
import+matplotlib.mlab+as+mlab

plt.subplot(121)
x+=+[1,10]
y+=+[30,+1000]
plt.loglog(x,+y,+basex=10,+basey=10,+ls="-")

plt.subplot(122)
x+=+[10,100]
y+=+[10,+10000]
plt.loglog(x,+y,+basex=10,+basey=10,+ls="-")
plt.savefig("second.ps")|1584143|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|$]]

As stated from David Cournapeau, use figure().

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

plt.figure()
x = [1,10]
y = [30, 1000]
plt.loglog(x, y, basex=10, basey=10, ls="-")
plt.savefig("first.ps")


plt.figure()
x = [10,100]
y = [10, 10000]
plt.loglog(x, y, basex=10, basey=10, ls="-")
plt.savefig("second.ps")
</code></pre>

Or subplot(121) / subplot(122) for the same plot, different position.

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

plt.subplot(121)
x = [1,10]
y = [30, 1000]
plt.loglog(x, y, basex=10, basey=10, ls="-")

plt.subplot(122)
x = [10,100]
y = [10, 10000]
plt.loglog(x, y, basex=10, basey=10, ls="-")
plt.savefig("second.ps")
</code></pre>

blocks|key|1584223|text|只需在第一个plt.plot之前输入plt.hold(False)，您就可以坚持使用原始代码。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1584224|entityMap^0|I|F|0^^$0|@$1|2|3|4|5|6|7|H|8|@$9|I|A|J|B|C]]|D|@]|E|$]]|$1|F|3|-4|5|6|7|K|8|@]|D|@]|E|$]]]|G|$]]

Just enter <code>plt.hold(False)</code> before the first plt.plot, and you can stick to your original code.

blocks|key|1584272|text|如果您以交互方式使用Matplotlib，例如在web应用程序中(例如ipython)，您可能会寻找|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1584273|plt.show()|code-block|syntax|javascript|1584274|而不是plt.close()或plt.clf()。|offset|length|style|CODE|1584275|entityMap^0|0|0|3|B|F|9|0^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|P|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|Q|8|@$I|R|J|S|K|L]|$I|T|J|U|K|L]]|9|@]|A|$]]|$1|M|3|-4|5|6|7|V|8|@]|9|@]|A|$]]]|N|$]]

If you're using Matplotlib interactively, for example in a web application, (e.g. ipython) you maybe looking for

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

instead of <code>plt.close()</code> or <code>plt.clf()</code>.

blocks|key|1584351|text|如果它们都不工作，请检查这个。假设沿着各自的轴有x和y数组的数据。然后检查您已将x和y初始化为空的单元格(Jupyter)。这是因为，也许你在没有重新初始化的情况下将数据添加到x和y。所以plot也有旧的数据。所以检查一下..|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1584352|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

If none of them are working then check this.. say if you have x and y arrays of data along respective axis. Then check in which cell(jupyter) you have initialized x and y to empty. This is because , maybe you are appending data to x and y without re-initializing them. So plot has old data too. So check that..

The following code plots to two <a href="http://en.wikipedia.org/wiki/PostScript" rel="noreferrer">PostScript</a> (.ps) files, but the second one contains both lines.

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

plt.subplot(111)
x = [1,10]
y = [30, 1000]
plt.loglog(x, y, basex=10, basey=10, ls="-")
plt.savefig("first.ps")


plt.subplot(111)
x = [10,100]
y = [10, 10000]
plt.loglog(x, y, basex=10, basey=10, ls="-")
plt.savefig("second.ps")
</code></pre>

How can I tell matplotlib to start afresh for the second plot?

How do I tell matplotlib that I am done with a plot?

下面的代码绘制到两个 (.ps)文件，但第二个文件包含两行代码。import matplotlibimport matplotlib.pyplot as pltimport matplotlib.mlab as mlabplt.subplot(111)x = [1,10]y = [30, 1000]plt.loglog...

问我如何告诉matplotlib我已经完成了一个图？
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问我如何告诉matplotlib我已经完成了一个图？
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