blocks|key|1786027|text|这些能行得通吗？|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1786028|plt.scatter(np.random.randn(100),+np.random.randn(100),+facecolors='none')|code-block|syntax|javascript|1786029|​|1786030|📷|atomic|offset|length|1786031|1786032|或使用plot()|1786033|plt.plot(np.random.randn(100),+np.random.randn(100),+'o',+mfc='none')|1786034|1786035|1786036|1786037|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/c5735e62d4b7a49da0f601a79881c7ab.png|imageAlt|1|https://ask.qcloudimg.com/http-save/yehe-900000/5e15a006fb27db9a8e41ea4283bdb9a4.png^0|0|0|0|0|1|0|0|0|0|0|0|0|1|1|0|0^^$0|@$1|2|3|4|5|6|7|16|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|17|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|18|8|@]|9|@]|A|$]]|$1|I|3|J|5|K|7|19|8|@]|9|@$L|1A|M|1B|1|1C]]|A|$]]|$1|N|3|H|5|6|7|1D|8|@]|9|@]|A|$]]|$1|O|3|P|5|6|7|1E|8|@]|9|@]|A|$]]|$1|Q|3|R|5|D|7|1F|8|@]|9|@]|A|$E|F]]|$1|S|3|H|5|6|7|1G|8|@]|9|@]|A|$]]|$1|T|3|J|5|K|7|1H|8|@]|9|@$L|1I|M|1J|1|1K]]|A|$]]|$1|U|3|H|5|6|7|1L|8|@]|9|@]|A|$]]|$1|V|3|-4|5|6|7|1M|8|@]|9|@]|A|$]]]|W|$X|$5|Y|Z|10|A|$11|12|13|-4]]|14|$5|Y|Z|10|A|$11|15|13|-4]]]]

Would these work?

<pre><code>plt.scatter(np.random.randn(100), np.random.randn(100), facecolors='none')
</code></pre>

<img src="https://i.stack.imgur.com/fVrxE.png" alt="example image">

or using plot()

<pre><code>plt.plot(np.random.randn(100), np.random.randn(100), 'o', mfc='none')
</code></pre>

<img src="https://i.stack.imgur.com/FbOQu.png" alt="example image">

blocks|key|1786045|text|因此，我假设您希望突出显示一些符合特定标准的点。您可以使用Prelude的命令对高亮显示的点进行第二次散点图绘制，其中包含一个空圆，并调用第一次来绘制所有点。确保s参数足够小，以使较大的空圆包含较小的已填充圆圈。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1786046|另一种选择是不使用散点，而是使用圆/椭圆命令分别绘制面片。这些是用matplotlib.patches编写的，here是一些关于如何绘制圆形、矩形等的示例代码。|offset|length|1786047|entityMap|0|LINK|mutability|MUTABLE|url|http://matplotlib.sourceforge.net/examples/api/patch_collection.html^0|0|1J|4|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|O|8|@]|9|@$D|P|E|Q|1|R]]|A|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|A|$]]]|G|$H|$5|I|J|K|A|$L|M]]]]

So I assume you want to highlight some points that fit a certain criteria. You can use Prelude's command to do a second scatter plot of the hightlighted points with an empty circle and a first call to plot all the points. Make sure the s paramter is sufficiently small for the larger empty circles to enclose the smaller filled ones.

The other option is to not use scatter and draw the patches individually using the circle/ellipse command. These are in matplotlib.patches, <a href="http://matplotlib.sourceforge.net/examples/api/patch_collection.html" rel="nofollow">here</a> is some sample code on how to draw circles rectangles etc.

blocks|key|1786083|text|这是另一种方式:这会向当前轴、图或图像或任何其他轴添加一个圆：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1786084|from+matplotlib.patches+import+Circle++#+$matplotlib/patches.py

def+circle(+xy,+radius,+color="lightsteelblue",+facecolor="none",+alpha=1,+ax=None+):
++++"""+add+a+circle+to+ax=+or+current+axes
++++"""
++++++++#+from+.../pylab_examples/ellipse_demo.py
++++e+=+Circle(+xy=xy,+radius=radius+)
++++if+ax+is+None:
++++++++ax+=+pl.gca()++#+ax+=+subplot(+1,1,1+)
++++ax.add_artist(e)
++++e.set_clip_box(ax.bbox)
++++e.set_edgecolor(+color+)
++++e.set_facecolor(+facecolor+)++#+"none"+not+None
++++e.set_alpha(+alpha+)|code-block|syntax|javascript|1786085|​|1786086|📷|atomic|offset|length|1786087|1786088|(图片中的圆圈被挤压成椭圆形，因为imshow+aspect="auto"+)。|style|CODE|1786089|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/db6349d60559673b17d81e18d87cda52.png|imageAlt^0|0|0|0|0|1|0|0|0|H|K|0^^$0|@$1|2|3|4|5|6|7|11|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|12|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|13|8|@]|9|@]|A|$]]|$1|I|3|J|5|K|7|14|8|@]|9|@$L|15|M|16|1|17]]|A|$]]|$1|N|3|H|5|6|7|18|8|@]|9|@]|A|$]]|$1|O|3|P|5|6|7|19|8|@$L|1A|M|1B|Q|R]]|9|@]|A|$]]|$1|S|3|-4|5|6|7|1C|8|@]|9|@]|A|$]]]|T|$U|$5|V|W|X|A|$Y|Z|10|-4]]]]

Here's another way: this adds a circle to the current axes, plot or image or whatever : 

<pre><code>from matplotlib.patches import Circle # $matplotlib/patches.py

def circle( xy, radius, color="lightsteelblue", facecolor="none", alpha=1, ax=None ):
 """ add a circle to ax= or current axes
 """
 # from .../pylab_examples/ellipse_demo.py
 e = Circle( xy=xy, radius=radius )
 if ax is None:
 ax = pl.gca() # ax = subplot( 1,1,1 )
 ax.add_artist(e)
 e.set_clip_box(ax.bbox)
 e.set_edgecolor( color )
 e.set_facecolor( facecolor ) # "none" not None
 e.set_alpha( alpha )
</code></pre>

<img src="https://i.stack.imgur.com/W3z0m.png" alt="alt text">

(The circles in the picture get squashed to ellipses because <code>imshow aspect="auto"</code> ).

blocks|key|1999837|text|在matplotlib2.0中，有一个名为fillstyle的参数，它可以更好地控制标记的填充方式。在我的例子中，我将它与errorbar一起使用，但它适用于一般http://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.errorbar.html中的标记|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1999838|fillstyle接受下列值：‘full’%7C‘left’%7C‘right’%7C‘bottom’%7C‘top’%7C‘none’|1999839|在使用fillstyle时，有两件重要的事情需要牢记：|1999840|1)如果mfc设置为任何类型的值，它将优先，因此，如果您确实设置了填充样式为'none‘，它将不会生效。因此应避免将mfc与填充样式结合使用。|1999841|2)您可能希望控制标记边缘宽度(使用markeredgewidth或mew)，因为如果标记相对较小而边缘宽度较厚，则标记看起来像填充的，即使它们不是填充的。|1999842|以下是使用errorbar的示例：|1999843|myplot.errorbar(x=myXval,+y=myYval,+yerr=myYerrVal,+fmt='o',+fillstyle='none',+ecolor='blue',++mec='blue')|code-block|syntax|javascript|1999844|entityMap|0|LINK|mutability|MUTABLE|url|http://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.errorbar.html^0|L|9|29|1W|0|0|0|9|0|3|9|0|0|I|F|Y|3|0|0|0^^$0|@$1|2|3|4|5|6|7|12|8|@$9|13|A|14|B|C]]|D|@$9|15|A|16|1|17]]|E|$]]|$1|F|3|G|5|6|7|18|8|@$9|19|A|1A|B|C]]|D|@]|E|$]]|$1|H|3|I|5|6|7|1B|8|@$9|1C|A|1D|B|C]]|D|@]|E|$]]|$1|J|3|K|5|6|7|1E|8|@]|D|@]|E|$]]|$1|L|3|M|5|6|7|1F|8|@$9|1G|A|1H|B|C]|$9|1I|A|1J|B|C]]|D|@]|E|$]]|$1|N|3|O|5|6|7|1K|8|@]|D|@]|E|$]]|$1|P|3|Q|5|R|7|1L|8|@]|D|@]|E|$S|T]]|$1|U|3|-4|5|6|7|1M|8|@]|D|@]|E|$]]]|V|$W|$5|X|Y|Z|E|$10|11]]]]

In matplotlib 2.0 there is a parameter called <code>fillstyle</code>
which allows better control on the way markers are filled. 
In my case I have used it with errorbars but it works for markers in general
<a href="http://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.errorbar.html" rel="noreferrer">http://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.errorbar.html</a>

<code>fillstyle</code> accepts the following values: [‘full’ | ‘left’ | ‘right’ | ‘bottom’ | ‘top’ | ‘none’]

There are two important things to keep in mind when using <code>fillstyle</code>,

1) If mfc is set to any kind of value it will take priority, hence, if you did set fillstyle to 'none' it would not take effect.
So avoid using mfc in conjuntion with fillstyle

2) You might want to control the marker edge width (using <code>markeredgewidth</code> or <code>mew</code>) because if the marker is relatively small and the edge width is thick, the markers will look like filled even though they are not.

Following is an example using errorbars:

<pre><code>myplot.errorbar(x=myXval, y=myYval, yerr=myYerrVal, fmt='o', fillstyle='none', ecolor='blue', mec='blue')
</code></pre>

blocks|key|1999866|text|基于Gary+Kerr的示例和建议的here，可以使用以下代码创建与指定值相关的空圆圈：|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1999867|import+matplotlib.pyplot+as+plt+
import+numpy+as+np+
from+matplotlib.markers+import+MarkerStyle

x+=+np.random.randn(60)+
y+=+np.random.randn(60)
z+=+np.random.randn(60)

g=plt.scatter(x,+y,+s=80,+c=z)
g.set_facecolor('none')
plt.colorbar()
plt.show()|code-block|syntax|javascript|1999868|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/questions/48620370/add-colorbar-to-scatterplot-with-non-filled-circles^0|I|4|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@$A|R|B|S|1|T]]|C|$]]|$1|D|3|E|5|F|7|U|8|@]|9|@]|C|$G|H]]|$1|I|3|-4|5|6|7|V|8|@]|9|@]|C|$]]]|J|$K|$5|L|M|N|C|$O|P]]]]

Basend on the example of Gary Kerr and as proposed <a href="https://stackoverflow.com/questions/48620370/add-colorbar-to-scatterplot-with-non-filled-circles">here</a> one may create empty circles related to specified values with following code:

<pre><code>import matplotlib.pyplot as plt 
import numpy as np 
from matplotlib.markers import MarkerStyle

x = np.random.randn(60) 
y = np.random.randn(60)
z = np.random.randn(60)

g=plt.scatter(x, y, s=80, c=z)
g.set_facecolor('none')
plt.colorbar()
plt.show()
</code></pre>

In Python, with Matplotlib, how can a scatter plot with empty circles be plotted? The goal is to draw empty circles around some of the colored disks already plotted by <code>scatter()</code>, so as to highlight them, ideally without having to redraw the colored circles.

I tried <code>facecolors=None</code>, to no avail.

How to do a scatter plot with empty circles in Python?

Python

在Python中，使用Matplotlib，如何绘制带有空圆的散点图？目标是在scatter()已经绘制的一些彩色圆盘周围绘制空圆圈，以便突出显示它们，理想情况下不必重新绘制彩色圆圈。我尝试了facecolors=None，但没有用。

问如何在Python中绘制带有空圆圈的散点图？
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问如何在Python中绘制带有空圆圈的散点图？
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