matplotlib-users Mailing List for matplotlib

On Tue, Sep 17, 2013 at 11:55 AM, Chad Kidder <cck...@gm...> wrote:

> I'm following the MPL Qt4 example given at
> http://matplotlib.org/examples/user_interfaces/embedding_in_qt4.html and
> it looks like I am timing out somewhere in the setup.  The error I am
> getting is:
>
> RuntimeError: super-class __init__() of type MyDynamicMplCanvas was never
> called
>
> It's timing out on a function that goes and talks to a piece of test
> equipment to get some data to plot.  That function takes on the order of a
> second to complete and is located in compute_initial_figure(self): for the
> previously mentioned class.  I will need to make these calls whenever I go
> into the update routine and they may take a few seconds to update.
>
> First, where is the "timeout" that I am violating?  Second, how do I fix
> this?  Thanks for your help.
>
>
>     --Chad Kidder
>
>
Hi Chad,

I think the timeout is right over here:

class MyDynamicMplCanvas(MyMplCanvas):
    """A canvas that updates itself every second with a new plot."""
    def __init__(self, *args, **kwargs):
        MyMplCanvas.__init__(self, *args, **kwargs)
        timer = QtCore.QTimer(self)
        QtCore.QObject.connect(timer, QtCore.SIGNAL("timeout()"),
self.update_figure)
        timer.start(1000)

My suspicion would be to either bump up that timer to take more than a
second, or come up with a different signal function to more intelligently
handle refreshes.

Cheers!
Ben Root

I'm following the MPL Qt4 example given at
http://matplotlib.org/examples/user_interfaces/embedding_in_qt4.html and it
looks like I am timing out somewhere in the setup.  The error I am getting
is:

RuntimeError: super-class __init__() of type MyDynamicMplCanvas was never
called

It's timing out on a function that goes and talks to a piece of test
equipment to get some data to plot.  That function takes on the order of a
second to complete and is located in compute_initial_figure(self): for the
previously mentioned class.  I will need to make these calls whenever I go
into the update routine and they may take a few seconds to update.

First, where is the "timeout" that I am violating?  Second, how do I fix
this?  Thanks for your help.


    --Chad Kidder

Hi Ben,

It works for me. Thank you very much !

Best wishes
                        Nils



On Tue, Sep 17, 2013 at 3:25 PM, Benjamin Root <ben...@ou...> wrote:

>
>
>
> On Tue, Sep 17, 2013 at 4:25 AM, Nils Wagner <ni...@go...>wrote:
>
>> Hi all,
>>
>> How can I modify the grid linewidth and grid line color of an Axes3D
>> object ?
>> is it possible to use white instead of gray for the background color ?
>>
>> The following snippet doesn't show the desired effect.
>>
>> from mpl_toolkits.mplot3d import Axes3D
>> import matplotlib.pyplot as plt
>> fig = plt.figure(figsize=(10,8))
>> ax = fig.gca(projection='3d')
>> ax.grid(color='r',linestyle='-',linewdith=2)
>>
>>
> A (somewhat) undocumented feature (and is not guaranteed to work in the
> future!) is the axis's _axinfo dictionary.
>
>         # This is a temporary member variable.
>         # Do not depend on this existing in future releases!
>         self._axinfo = self._AXINFO[adir].copy()
>         self._axinfo.update({'label' : {'space_factor': 1.6,
>                                         'va': 'center',
>                                         'ha': 'center'},
>                              'tick' : {'inward_factor': 0.2,
>                                        'outward_factor': 0.1},
>                              'ticklabel': {'space_factor': 0.7},
>                              'axisline': {'linewidth': 0.75,
>                                           'color': (0, 0, 0, 1)},
>                              'grid' : {'color': (0.9, 0.9, 0.9, 1),
>                                        'linewidth': 1.0},
>                             })
>
> where _AXINFO is a class-level attribute defined as:
>     # Some properties for the axes
>     _AXINFO = {
>         'x': {'i': 0, 'tickdir': 1, 'juggled': (1, 0, 2),
>             'color': (0.95, 0.95, 0.95, 0.5)},
>         'y': {'i': 1, 'tickdir': 0, 'juggled': (0, 1, 2),
>             'color': (0.90, 0.90, 0.90, 0.5)},
>         'z': {'i': 2, 'tickdir': 0, 'juggled': (0, 2, 1),
>             'color': (0.925, 0.925, 0.925, 0.5)},
>     }
>
> This information used to be hard-coded throughout the axis3d.py module. I
> consolidated it all into this dictionary for each Axis3D instance. So, you
> should be able to create your Axes3D object, and then do something like the
> following:
>
> ax = fig.gca(projection='3d')
> ax.xaxis._axinfo['grid'].update({'color': 'r', 'linewidth': 2})
> ax.xaxis._axinfo['color'] = 'white'
>
> (Note: untested code!) I don't think the linestyle can be specified,
> though. At some point, I probably should get the Axes3D.grid() function
> defined to mess around with this _axinfo modify the _axinfo dictionary.
>
> I hope that helps!
> Ben Root
>

On Tue, Sep 17, 2013 at 4:25 AM, Nils Wagner <ni...@go...> wrote:

> Hi all,
>
> How can I modify the grid linewidth and grid line color of an Axes3D
> object ?
> is it possible to use white instead of gray for the background color ?
>
> The following snippet doesn't show the desired effect.
>
> from mpl_toolkits.mplot3d import Axes3D
> import matplotlib.pyplot as plt
> fig = plt.figure(figsize=(10,8))
> ax = fig.gca(projection='3d')
> ax.grid(color='r',linestyle='-',linewdith=2)
>
>
A (somewhat) undocumented feature (and is not guaranteed to work in the
future!) is the axis's _axinfo dictionary.

        # This is a temporary member variable.
        # Do not depend on this existing in future releases!
        self._axinfo = self._AXINFO[adir].copy()
        self._axinfo.update({'label' : {'space_factor': 1.6,
                                        'va': 'center',
                                        'ha': 'center'},
                             'tick' : {'inward_factor': 0.2,
                                       'outward_factor': 0.1},
                             'ticklabel': {'space_factor': 0.7},
                             'axisline': {'linewidth': 0.75,
                                          'color': (0, 0, 0, 1)},
                             'grid' : {'color': (0.9, 0.9, 0.9, 1),
                                       'linewidth': 1.0},
                            })

where _AXINFO is a class-level attribute defined as:
    # Some properties for the axes
    _AXINFO = {
        'x': {'i': 0, 'tickdir': 1, 'juggled': (1, 0, 2),
            'color': (0.95, 0.95, 0.95, 0.5)},
        'y': {'i': 1, 'tickdir': 0, 'juggled': (0, 1, 2),
            'color': (0.90, 0.90, 0.90, 0.5)},
        'z': {'i': 2, 'tickdir': 0, 'juggled': (0, 2, 1),
            'color': (0.925, 0.925, 0.925, 0.5)},
    }

This information used to be hard-coded throughout the axis3d.py module. I
consolidated it all into this dictionary for each Axis3D instance. So, you
should be able to create your Axes3D object, and then do something like the
following:

ax = fig.gca(projection='3d')
ax.xaxis._axinfo['grid'].update({'color': 'r', 'linewidth': 2})
ax.xaxis._axinfo['color'] = 'white'

(Note: untested code!) I don't think the linestyle can be specified,
though. At some point, I probably should get the Axes3D.grid() function
defined to mess around with this _axinfo modify the _axinfo dictionary.

I hope that helps!
Ben Root

Hi all,

How can I modify the grid linewidth and grid line color of an Axes3D object
?
is it possible to use white instead of gray for the background color ?

The following snippet doesn't show the desired effect.

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(10,8))
ax = fig.gca(projection='3d')
ax.grid(color='r',linestyle='-',linewdith=2)


Nils