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very nice and thanks a lot , you are very nice.
and could you give me some guide how to put this in qlabel of pyqt ? or
what's widget is better to work with these code
2014年05月16日 21:25 GMT+07:00 Joe Kington <jof...@gm...>:
>
>
>
> On Fri, May 16, 2014 at 7:36 AM, Alan G Isaac <ala...@gm...>wrote:
>
>> On 5/16/2014 7:51 AM, 不坏阿峰 wrote:
>> > how to use matplotlib to drew chart like this ?
>> > http://www.advsofteng.com/doc/cdpydoc/images/concentric.png
>>
>>
>> Not an answer to your question:
>> http://www.businessinsider.com/pie-charts-are-the-worst-2013-6
>>
>> fwiw,
>> Alan Isaac
>>
>
> Alan is quite right. However, that aside, here's how you'd do it in
> matplotlib:
>
> import matplotlib.pyplot as plt
>
> fig, ax = plt.subplots()
> ax.axis('equal')
>
> # Width of the "rings" (percentages if the largest "radius"==1)
> width = 0.35
>
> # Note the different "radius" values: largest --> outside "donut".
> kwargs = dict(colors=['#66FF66', '#9999FF', '#FF9999'], startangle=90)
> inside, _ = ax.pie([45, 87, 77], radius=1-width, **kwargs)
> outside, _ = ax.pie([96, 124, 88], radius=1, **kwargs)
>
> # This is the key. We'll set the "width" for all wedges generated by
> ax.pie.
> # (The inside radius for each donut will be "radius" - "width")
> plt.setp(inside + outside, width=width, edgecolor='white')
>
> ax.legend(inside[::-1], ['Hardware', 'Software', 'Services'],
> frameon=False)
>
> plt.show()
>
>
>
> If you wanted to replicate the example figure more closely, you'll need to
> get a touch fancier:
>
> import matplotlib.pyplot as plt
> import numpy as np
>
> def pie(ax, values, **kwargs):
> total = sum(values)
> def formatter(pct):
> return '${:0.0f}M\n({:0.1f}%)'.format(pct*total/100, pct)
> wedges, _, labels = ax.pie(values, autopct=formatter, **kwargs)
> return wedges
>
> fig, ax = plt.subplots()
> ax.axis('equal')
>
> width = 0.35
> kwargs = dict(colors=['#66FF66', '#9999FF', '#FF9999'], startangle=90)
>
> outside = pie(ax, [96, 124, 88], radius=1, pctdistance=1-width/2, **kwargs)
> inside = pie(ax, [45, 87, 77], radius=1-width,
> pctdistance=1 - (width/2) / (1-width), **kwargs)
> plt.setp(inside + outside, width=width, edgecolor='white')
>
> ax.legend(inside[::-1], ['Hardware', 'Software', 'Services'],
> frameon=False)
>
> kwargs = dict(size=13, color='white', va='center', fontweight='bold')
> ax.text(0, 0, 'Year 2005', ha='center',
> bbox=dict(boxstyle='round', facecolor='blue', edgecolor='none'),
> **kwargs)
> ax.annotate('Year 2006', (0, 0), xytext=(np.radians(-45), 1.1),
> bbox=dict(boxstyle='round', facecolor='green',
> edgecolor='none'),
> textcoords='polar', ha='left', **kwargs)
>
> plt.show()
>
>
>
> Hope those examples give you some ideas!
> Cheers,
> -Joe
> ​
>
>
> ------------------------------------------------------------------------------
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>

On Fri, May 16, 2014 at 7:36 AM, Alan G Isaac <ala...@gm...> wrote:
> On 5/16/2014 7:51 AM, 不坏阿峰 wrote:
> > how to use matplotlib to drew chart like this ?
> > http://www.advsofteng.com/doc/cdpydoc/images/concentric.png
>
>
> Not an answer to your question:
> http://www.businessinsider.com/pie-charts-are-the-worst-2013-6
>
> fwiw,
> Alan Isaac
>
Alan is quite right. However, that aside, here's how you'd do it in
matplotlib:
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.axis('equal')
# Width of the "rings" (percentages if the largest "radius"==1)
width = 0.35
# Note the different "radius" values: largest --> outside "donut".
kwargs = dict(colors=['#66FF66', '#9999FF', '#FF9999'], startangle=90)
inside, _ = ax.pie([45, 87, 77], radius=1-width, **kwargs)
outside, _ = ax.pie([96, 124, 88], radius=1, **kwargs)
# This is the key. We'll set the "width" for all wedges generated by ax.pie.
# (The inside radius for each donut will be "radius" - "width")
plt.setp(inside + outside, width=width, edgecolor='white')
ax.legend(inside[::-1], ['Hardware', 'Software', 'Services'], frameon=False)
plt.show()
If you wanted to replicate the example figure more closely, you'll need to
get a touch fancier:
import matplotlib.pyplot as plt
import numpy as np
def pie(ax, values, **kwargs):
 total = sum(values)
 def formatter(pct):
 return '${:0.0f}M\n({:0.1f}%)'.format(pct*total/100, pct)
 wedges, _, labels = ax.pie(values, autopct=formatter, **kwargs)
 return wedges
fig, ax = plt.subplots()
ax.axis('equal')
width = 0.35
kwargs = dict(colors=['#66FF66', '#9999FF', '#FF9999'], startangle=90)
outside = pie(ax, [96, 124, 88], radius=1, pctdistance=1-width/2, **kwargs)
inside = pie(ax, [45, 87, 77], radius=1-width,
 pctdistance=1 - (width/2) / (1-width), **kwargs)
plt.setp(inside + outside, width=width, edgecolor='white')
ax.legend(inside[::-1], ['Hardware', 'Software', 'Services'], frameon=False)
kwargs = dict(size=13, color='white', va='center', fontweight='bold')
ax.text(0, 0, 'Year 2005', ha='center',
 bbox=dict(boxstyle='round', facecolor='blue', edgecolor='none'),
 **kwargs)
ax.annotate('Year 2006', (0, 0), xytext=(np.radians(-45), 1.1),
 bbox=dict(boxstyle='round', facecolor='green',
edgecolor='none'),
 textcoords='polar', ha='left', **kwargs)
plt.show()
Hope those examples give you some ideas!
Cheers,
-Joe
​

On 5/16/2014 7:51 AM, 不坏阿峰 wrote:
> how to use matplotlib to drew chart like this ?
> http://www.advsofteng.com/doc/cdpydoc/images/concentric.png
Not an answer to your question:
http://www.businessinsider.com/pie-charts-are-the-worst-2013-6
fwiw,
Alan Isaac

Thanks. New issue submitted.
In my humble opinion, the creation of a home configuration directory should
be optional, only implemented by an option from the command line.
Otherwise, a small detail like creating a directory can cause major
headaches.
On Thu, May 15, 2014 at 4:43 PM, Paul Ivanov <pi...@be...> wrote:
> Hi Paul and Paul,
>
> I thought I'd pile onto this Paul Pile...
>
> Paul Tremblay, on 2014年05月15日 16:33, wrote:
> > However, this really is a bug. I have spent about two hours trying to get
> > this to work on EC.
> >
> > Where to I file bugs?
>
> https://github.com/matplotlib/matplotlib/issues
>
> Here's a recent issue which may be related to yours,
> https://github.com/matplotlib/matplotlib/issues/3062
>
> but if that doesn't capture the problem you are seeing, and you
> don't find an issue open for the behavior you're seeing, please
> open a new one.
>
> best,
> --
> _
> / \
> A* \^ -
> ,./ _.`\\ / \
> / ,--.S \/ \
> / `"~,_ \ \
> __o ?
> _ \<,_ /:\
> --(_)/-(_)----.../ | \
> --------------.......J
> Paul Ivanov
> http://pirsquared.org
>
>
> ------------------------------------------------------------------------------
> "Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE
> Instantly run your Selenium tests across 300+ browser/OS combos.
> Get unparalleled scalability from the best Selenium testing platform
> available
> Simple to use. Nothing to install. Get started now for free."
> http://p.sf.net/sfu/SauceLabs
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Dear all
how to use matplotlib to drew chart like this ?
http://www.advsofteng.com/doc/cdpydoc/images/concentric.png