Re: [Matplotlib-users] how to draw concentric donuts chart ?

[不坏阿峰 <onl...@gm...>]

i have try modify Official example use my Qwidget in my Ui.  it works.   i
am fresher to use matplotlib , maybe my question is stupid .  your code is
use pyplot,  is the same way to use like below code?  i do not how to
change your code to a class, and use with Qwidget.

hope you can give me some guide.  thanks a lot

>>>>>>>
from __future__ import unicode_literals
import sys, os, random
from PyQt4 import QtGui, QtCore

from numpy import arange, sin, pi
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as
FigureCanvas
from matplotlib.figure import Figure
from mychart_ui import Ui_Form

class MyMplCanvas(FigureCanvas):
    """Ultimately, this is a QWidget (as well as a FigureCanvasAgg,
etc.)."""
    def __init__(self, parent=None, width=5, height=4, dpi=100):
        fig = Figure(figsize=(width, height), dpi=dpi)
        self.axes = fig.add_subplot(111)
        # We want the axes cleared every time plot() is called
        self.axes.hold(False)

        self.compute_initial_figure()

        #
        FigureCanvas.__init__(self, fig)
        self.setParent(parent)

        FigureCanvas.setSizePolicy(self,
                                   QtGui.QSizePolicy.Expanding,
                                   QtGui.QSizePolicy.Expanding)
        FigureCanvas.updateGeometry(self)

    def compute_initial_figure(self):
        pass

class MyStaticMplCanvas(MyMplCanvas):
    """Simple canvas with a sine plot."""
    def compute_initial_figure(self):
        t = arange(0.0, 3.0, 0.01)
        s = sin(2*pi*t)
        self.axes.plot(t, s)

##  this is my custom Ui design in Qt designer.
class myWidget(QtGui.QWidget, Ui_Form):
    def __init__(self,parent=None):
        QtGui.QWidget.__init__(self, parent)
        self.setupUi(self)
        sc = MyStaticMplCanvas(self.matwidget, width=5, height=4, dpi=100)
qApp = QtGui.QApplication(sys.argv)

aw = myWidget()
aw.show()
sys.exit(qApp.exec_())
<<<<<<<<




2014-05-16 22:23 GMT+07:00 不坏阿峰 <onl...@gm...>:

> 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
>
>
>
>
> 2014-05-16 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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>