matplotlib-devel Mailing List for matplotlib

Hi,
just received 
Traceback (most recent call last):
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/backends/backend_qt4.py", line 449, in edit_parameters
 fmt = "%(axes_repr)s (%(ylabel)s)" % ylabel
TypeError: format requires a mapping
should this postfix "% label" in line 449 be removed?
Cheers and thanks for the great work,
M.
PS: Why is there no subplots.svg (only icon in NavigationToolbar with only a .png version)
PPS: Another one caused by clicking the green flag icon ("Edit curves and ..") in NavigationToolbar
NotImplementedError: TransformNode instances can not be copied. Consider using frozen() instead.
Traceback (most recent call last):
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/backends/backend_qt4.py", line 463, in edit_parameters
 figureoptions.figure_edit(axes, self)
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/backends/qt4_editor/figureoptions.py", line 132, in figure_edit
 icon=get_icon('qt4_editor_options.svg'), apply=apply_callback)
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/backends/qt4_editor/formlayout.py", line 511, in fedit
 dialog = FormDialog(data, title, comment, icon, parent, apply)
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/backends/qt4_editor/formlayout.py", line 416, in __init__
 parent=self)
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/backends/qt4_editor/formlayout.py", line 390, in __init__
 widget = FormComboWidget(data, comment=comment, parent=self)
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/backends/qt4_editor/formlayout.py", line 368, in __init__
 widget = FormWidget(data, comment=comment, parent=self)
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/backends/qt4_editor/formlayout.py", line 233, in __init__
 self.data = deepcopy(data)
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/copy.py", line 163, in deepcopy
 y = copier(x, memo)
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/copy.py", line 230, in _deepcopy_list
 y.append(deepcopy(a, memo))
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/copy.py", line 163, in deepcopy
 y = copier(x, memo)
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/copy.py", line 237, in _deepcopy_tuple
 y.append(deepcopy(a, memo))
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/copy.py", line 163, in deepcopy
 y = copier(x, memo)
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/copy.py", line 230, in _deepcopy_list
 y.append(deepcopy(a, memo))
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/copy.py", line 163, in deepcopy
 y = copier(x, memo)
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/copy.py", line 298, in _deepcopy_inst
 state = deepcopy(state, memo)
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/copy.py", line 163, in deepcopy
 y = copier(x, memo)
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/copy.py", line 257, in _deepcopy_dict
 y[deepcopy(key, memo)] = deepcopy(value, memo)
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/copy.py", line 174, in deepcopy
 y = copier(memo)
 File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/transforms.py", line 96, in __copy__
 "Consider using frozen() instead.")
NotImplementedError: TransformNode instances can not be copied. Consider using frozen() instead.

Thanks a lot Pauli!
Best,
Chao
2011年9月29日 Pauli Virtanen <pa...@ik...>
> 29.09.2011 17:38, Benjamin Root kirjoitti:
> [clip]
> > but I cannot use "d=np.concatenate(d,np.array(np.nan))" to finish this
> job.
> [clip]
>
> Do
>
> d = np.concatenate([d, np.array([np.nan])])
>
> or
>
> d = np.hstack([d, np.nan])
>
> or
>
> d = np.r_[d, np.nan]
>
>
>
> ------------------------------------------------------------------------------
> All the data continuously generated in your IT infrastructure contains a
> definitive record of customers, application performance, security
> threats, fraudulent activity and more. Splunk takes this data and makes
> sense of it. Business sense. IT sense. Common sense.
> http://p.sf.net/sfu/splunk-d2dcopy1
> _______________________________________________
> Matplotlib-devel mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>
-- 
***********************************************************************************
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
************************************************************************************

Thanks Ben! it works fine! help me a lot.
Chao
2011年9月29日 Pauli Virtanen <pa...@ik...>
> 29.09.2011 17:38, Benjamin Root kirjoitti:
> [clip]
> > but I cannot use "d=np.concatenate(d,np.array(np.nan))" to finish this
> job.
> [clip]
>
> Do
>
> d = np.concatenate([d, np.array([np.nan])])
>
> or
>
> d = np.hstack([d, np.nan])
>
> or
>
> d = np.r_[d, np.nan]
>
>
>
> ------------------------------------------------------------------------------
> All the data continuously generated in your IT infrastructure contains a
> definitive record of customers, application performance, security
> threats, fraudulent activity and more. Splunk takes this data and makes
> sense of it. Business sense. IT sense. Common sense.
> http://p.sf.net/sfu/splunk-d2dcopy1
> _______________________________________________
> Matplotlib-devel mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>
-- 
***********************************************************************************
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
************************************************************************************

29.09.2011 17:38, Benjamin Root kirjoitti:
[clip]
> but I cannot use "d=np.concatenate(d,np.array(np.nan))" to finish this job.
[clip]
Do
 d = np.concatenate([d, np.array([np.nan])])
or
 d = np.hstack([d, np.nan])
or
 d = np.r_[d, np.nan]

On Thu, Sep 29, 2011 at 9:33 AM, Chao YUE <cha...@gm...> wrote:
> Dear all, I have a variable d which has several years plus 11 month data
> (len(d)%12=11). so I want to append a NaN to the data so that it constitutes
> complete
> several years of data.
>
> but I cannot use "d=np.concatenate(d,np.array(np.nan))" to finish this job.
>
>
> another question, is there a simple function like is.Nan(ndarray) in numpy
> to check the missing value? and how can I get the index of the missing
> value?
>
> Thanks a lot,
>
> Chao
>
> In [246]: d
> Out[246]:
> array([-24. , -12.9, -14. , 4.2, 7.3, 12.9, 18.5, 16.9, 10.7,
> 7.6, -1.9, -9.8, -12. , -16.6, -13.3, 5. , 12.2, 14. ,
> 16.5, 15.6, 11.8, 6.4, -6.6, -14.8, -17.6, -15.4, -3.7,
> -2.1, 6.9, 12.8, 17. , 16.7, 9. , 4.5, -11.9, -18.1,
> -18.4, -19.5, -3.4, 6.4, 8.5, 13.5, 18.3, 16.5, 10.4,
> 1.7, -9.6, -19.5, -17.8, -20.9, -10.9, 0.8, 7.7, 14.7,
> 20.4, 16.2, 9.1, 6.9, -8.6, -17.1, -16.6, -20.8, -14.1,
> -4.7, 10.7, 15.8, 18.5, 17.1, 12.9, 5.2, -6. , -18.4,
> -20.5, -22.6, -8.3, 7. , 10.9, 14. , 17.1, 18.6, 10.1,
> 2.1, -1.1, -20.8, -32.9, -17.7, -12.2, -0.4, 9.5, 14.6,
> 17.3, 15.1, 11.1, 2.6, -9.9, -16.9, -22.9, -18.1, -15.4,
> 0.5, 11. , 12.4, 16.9, 14.7, 9.7, -0.3, -10.7, -20.7,
> -23.1, -13.5, -10.7, 7.6, 11. , 14.4, 16.8, 15.6, 11.2,
> 4.2, -3.5, -12.2, -19.9, -13.2, -10.1, -0.1, 8.5, 13.6,
> 17.2, 17.6, 10.1, 6.3, -2.3, -12.4, -27.2, -9.1, -13. ,
> -6.2, 7.4, 12.9, 17.3, 14.8, 9.5, 4.3, -1.1, -8.6,
> -17.5, -18.5, -15.9, 3.5, 9.6, 15.7, 18.4, 17.1, 9.4,
> 4.5, -15.1, -21.9, -21.2, -18.5, -12.2, -2.1, 10.4, 16.7,
> 17. , 16.1, 8.6, 3.9, -4.8, -16. , -20.9, -16.8, -9.3,
> 0.9, 10.3, 13.8, 19. , 15.3, 11.1, 3.1, -5.5, -14.9,
> -12.8, -17.5, -6.9, 3.7, 11.1, 12.5, 16.5, 16.5, 10.2,
> 4.2, -8.8, -16.3, -24.4, -17.2, -4.7, 3.5, 8. , 14. ,
> 18.3, 14.6, 8.9, -0.4, -9.1, -8.4, -20.8, -15.5, -12. ,
> 2.3, 9.8, 13.6, 18.4, 16.8, 11.9, 3.9, -8. , -13.6,
> -17.4, -13.1, -6.9, 0.2, 10.6, 17.6, 17.2, 18.8, 6.3,
> 3.4, -7.6, -22.7, -19.5, -20.9, -11.7, 1.7, 9.8, 16.6,
> 16.4, 16.2, 10.6, 6.1, -3.6, -14.4, -22.2, -17.8, -7.5,
> 3.2, 8.9, 14.8, 18.6, 17.7, 12.9, 8.4, -6.9, -16.8,
> -16.4, -10.1, -15.6, 3.5, 11.2, 14.7, 19.5, 14.6, 8.3,
> 4.4, -8.2, -22.3, -23. , -21.8, -14.1, 2.5, 9.1, 15. ,
> 17.9, 16.4, 5.3, 5.2, -11.6, -14.1, -29. , -20.5, -8.1,
> -0.7, 10.1, 13.9, 17.3, 15.5, 12.4, 3.4, -13.3, -15.1,
> -21. , -19.5, -12.5, -2.4, 8.9, 13.5, 17.6, 17.3, 14.4,
> 2.7, -5.1, -15.5, -20.7, -14.5, -3.2, 2.7, 9.6, 14.3,
> 16. , 13.7, 10.9, 3.2, -4.1, -18.6, -29.2, -16.7, -11. ,
> 5.1, 9.2, 12.5, 16.2, 17.5, 10.2, -0.8, -5.3, -11.4,
> -20.9, -15. , -12.8, 2.1, 8.8, 16.9, 18.2, 16.1, 9.9,
> 3.4, -9. , -23.5, -25.2, -15.4, -10.3, 2.5, 11.7, 14.5,
> 15.4, 17.8, 9.9, 3.5, -7.4, -20.7, -25.1, -22.6, -9.7,
> 1.2, 11.6, 16.3, 14.8, 17.4, 5.9, 0.9, -6.8, -21.4,
> -16.6, -15.8, -4.1, 1.7, 10.9, 14.5, 16.8, 16.8, 9.8,
> 4.2, -12.8, -18.5, -25.2, -16.8, -14.6, 2.4, 6.2, 14.9,
> 17.9, 13.6, 7.6, 5.3, -4.2, -8.5, -17.5, -17.7, -13.4,
> 0.1, 8.8, 14.3, 19.3, 14. , 10. , 3.5, -6.1, -16.8,
> -16.5, -12.5, -10. , 5.8, 11.6, 14.4, 17.7, 16.7, 11.6,
> 1.4, -7.3, -16. , -22.2, -7.8, -5.1, 6. , 13.6, 15.5,
> 16.3, 12.3, 9.8, 5.2, -7.9, -21.1, -24.2, -17.4, -7.6,
> 2.5, 11.7, 15.4, 16.7, 14.4, 10.6, 5.9, -10.4, -18. ,
> -21.5, -25.6, -10.2, -2.9, 7.8, 15. , 19.2, 15.3, 11.3,
> 4.4, -6. , -14.4, -21. , -15.4, -11.5, 7.4, 13.3, 15.2,
> 17.6, 15.1, 9.3, 5. , -4.4, -19.4, -12.6, -11.4, -2.6,
> 3.2, 10.9, 14.4, 17.9, 19.1, 11.8, 1.9, -0.9, -14.2,
> -29.7, -17.6, -9.6, 0.5, 9.2, 14.3, 17.7, 14.6, 10.1,
> 4.2, -10.7, -14.4, -14.5, -13.1, -8.5, 0.5, 8. , 15.1,
> 18.8, 19.4, 9.3, 4.4, -3.2, -23.6, -14.2, -6.7, -8. ,
> 6.8, 9. , 15.8, 18.6, 18.8, 7.6, 2.2, -11.3, -21.2,
> -17.2, -19.5, -4.9, 4.3, 11.8, 12.3, 17.1, 14.3, 7.7,
> 3. , -16.7, -14.2, -11.7, -16.4, -3.8, 2.1, 12.1, 15.3,
> 16.9, 16.2, 8.5, 4.7, -10.7, -10.7, -11.6, -10.2, -6.2,
> 6.4, 12.7, 17.9, 17.3, 13.7, 12.6, 3.6, -2.7, -10.8,
> -20.3, -15.3, -6.8, 4. , 13.9, 19.3, 18.5, 15.8, 10.9,
> 3. , -5.3, -12.3, -15.7, -16.7, -12.3, 3.5, 10.7, 16. ,
> 19.8, 17.1, 10.8, 4.1, -9.1, -18.6, -15.9, -17.7, -4.2,
> 2.6, 10.3, 16.4, 17.3, 16.9, 12.2, 1.7, -9.7, -21.7,
> -19.3, -10.7, -9.5, 4.7, 11.3, 16.5, 18.5, 19.8, 10.6,
> -0.3, -10.2, -14.2, -13.2, -11.1, -1.8, 3.4, 9.3, 14. ,
> 16.1, 14.2, 8.4, 3.2, -3.1, -20.8, -18.3, -14.1, -1.5,
> 3.9, 11. , 12.8, 15.6, 15.8, 8.7, 2.9, -7.4, -11.3,
> -23.2, -21.6, -2. , 3.8, 10.3, 15. , 17.1, 15.6, 12.9,
> 4.6, -8. , -15.6, -16.1, -14.1, -8.4, -1.1, 9.3, 16.9,
> 16.9, 15.7, 11.4, 4.3, -11.3, -17.1, -25. , -14. , -11.6,
> 1.4, 7.9, 16.2, 17.6, 17.9, 10. , 2.6, -12.5, -20.1,
> -22.3, -11.9, -10.2, 0.4, 9.2, 16.6, 18.4, 17.8, 12.6,
> 3. , -4.7, -6. , -19.3, -6.1, -7.8, 6.6, 12.3, 14.4,
> 18.5, 18.9, 12.1, 4.1, -5.6, -14.7, -18.2, -11.7, -4.8,
> 5.6, 9.9, 13.8, 16.5, 17. , 10.1, 3.2, -3.3, -9. ,
> -19.7, -11.9, -3.4, 3.1, 8.9, 13.4, 17.6, 15.9, 10.8,
> 4.4, -6.9, -21. , -9.8, -18. , -4.1, 3.6, 11.6, 14.8,
> 18.7, 18.7, 12.8, 1.7, -2.2, -13.9, -16.8, -9.9, -14.6,
> -1.7, 7.6, 17.4, 20.3, 16.2, 10.2, -1.9, -6.3, -10.5,
> -18.5, -18.6, -10.1, 3.8, 11.7, 15.7, 18.5, 19.6, 10.1,
> 5.6, -9.5, -11.4, -21.5, -11.2, NaN, 3.5, NaN, 13. ,
> 16.8, 13.9, 10.1, 2.7, -2.9, -15.8, -18.8, -12.6, -6.3,
> 5.7, 9.5, 14.2, 17.5, 14.9, 10.8, 4. , -3.4, -9.3,
> -8.7, -13. , -8.1, 6.8, 11. , 16.6, 19.5, 17.3, 11.5,
> 1.5, -10.4, -11.9, -14.2, -18.3, -6.1, 2.9, 10.6, 14.3,
> 20.6, 14.9, 10. , 4.8, -7.5])
>
>
Here is a quick-and-dirty way to do what you want:
d_full = np.empty(len(d) + 1)
d_full[:len(d)] = d
d_full[-1] = np.nan
As for testing for NaNs, use "np.isnan()". That returns a boolean array the
same shape as the input array (which can be used for boolean indexing).
However, if you really need the indices, then you can use
"np.nonzero(np.isnan(d_full))[0]". Note the use of "[0]" because np.nonzero
returns a tuple of information, but you usually only need the first one.
I hope that helps!
Ben Root

Dear all, I have a variable d which has several years plus 11 month data
(len(d)%12=11). so I want to append a NaN to the data so that it constitutes
complete
several years of data.
but I cannot use "d=np.concatenate(d,np.array(np.nan))" to finish this job.
another question, is there a simple function like is.Nan(ndarray) in numpy
to check the missing value? and how can I get the index of the missing
value?
Thanks a lot,
Chao
In [246]: d
Out[246]:
array([-24. , -12.9, -14. , 4.2, 7.3, 12.9, 18.5, 16.9, 10.7,
 7.6, -1.9, -9.8, -12. , -16.6, -13.3, 5. , 12.2, 14. ,
 16.5, 15.6, 11.8, 6.4, -6.6, -14.8, -17.6, -15.4, -3.7,
 -2.1, 6.9, 12.8, 17. , 16.7, 9. , 4.5, -11.9, -18.1,
 -18.4, -19.5, -3.4, 6.4, 8.5, 13.5, 18.3, 16.5, 10.4,
 1.7, -9.6, -19.5, -17.8, -20.9, -10.9, 0.8, 7.7, 14.7,
 20.4, 16.2, 9.1, 6.9, -8.6, -17.1, -16.6, -20.8, -14.1,
 -4.7, 10.7, 15.8, 18.5, 17.1, 12.9, 5.2, -6. , -18.4,
 -20.5, -22.6, -8.3, 7. , 10.9, 14. , 17.1, 18.6, 10.1,
 2.1, -1.1, -20.8, -32.9, -17.7, -12.2, -0.4, 9.5, 14.6,
 17.3, 15.1, 11.1, 2.6, -9.9, -16.9, -22.9, -18.1, -15.4,
 0.5, 11. , 12.4, 16.9, 14.7, 9.7, -0.3, -10.7, -20.7,
 -23.1, -13.5, -10.7, 7.6, 11. , 14.4, 16.8, 15.6, 11.2,
 4.2, -3.5, -12.2, -19.9, -13.2, -10.1, -0.1, 8.5, 13.6,
 17.2, 17.6, 10.1, 6.3, -2.3, -12.4, -27.2, -9.1, -13. ,
 -6.2, 7.4, 12.9, 17.3, 14.8, 9.5, 4.3, -1.1, -8.6,
 -17.5, -18.5, -15.9, 3.5, 9.6, 15.7, 18.4, 17.1, 9.4,
 4.5, -15.1, -21.9, -21.2, -18.5, -12.2, -2.1, 10.4, 16.7,
 17. , 16.1, 8.6, 3.9, -4.8, -16. , -20.9, -16.8, -9.3,
 0.9, 10.3, 13.8, 19. , 15.3, 11.1, 3.1, -5.5, -14.9,
 -12.8, -17.5, -6.9, 3.7, 11.1, 12.5, 16.5, 16.5, 10.2,
 4.2, -8.8, -16.3, -24.4, -17.2, -4.7, 3.5, 8. , 14. ,
 18.3, 14.6, 8.9, -0.4, -9.1, -8.4, -20.8, -15.5, -12. ,
 2.3, 9.8, 13.6, 18.4, 16.8, 11.9, 3.9, -8. , -13.6,
 -17.4, -13.1, -6.9, 0.2, 10.6, 17.6, 17.2, 18.8, 6.3,
 3.4, -7.6, -22.7, -19.5, -20.9, -11.7, 1.7, 9.8, 16.6,
 16.4, 16.2, 10.6, 6.1, -3.6, -14.4, -22.2, -17.8, -7.5,
 3.2, 8.9, 14.8, 18.6, 17.7, 12.9, 8.4, -6.9, -16.8,
 -16.4, -10.1, -15.6, 3.5, 11.2, 14.7, 19.5, 14.6, 8.3,
 4.4, -8.2, -22.3, -23. , -21.8, -14.1, 2.5, 9.1, 15. ,
 17.9, 16.4, 5.3, 5.2, -11.6, -14.1, -29. , -20.5, -8.1,
 -0.7, 10.1, 13.9, 17.3, 15.5, 12.4, 3.4, -13.3, -15.1,
 -21. , -19.5, -12.5, -2.4, 8.9, 13.5, 17.6, 17.3, 14.4,
 2.7, -5.1, -15.5, -20.7, -14.5, -3.2, 2.7, 9.6, 14.3,
 16. , 13.7, 10.9, 3.2, -4.1, -18.6, -29.2, -16.7, -11. ,
 5.1, 9.2, 12.5, 16.2, 17.5, 10.2, -0.8, -5.3, -11.4,
 -20.9, -15. , -12.8, 2.1, 8.8, 16.9, 18.2, 16.1, 9.9,
 3.4, -9. , -23.5, -25.2, -15.4, -10.3, 2.5, 11.7, 14.5,
 15.4, 17.8, 9.9, 3.5, -7.4, -20.7, -25.1, -22.6, -9.7,
 1.2, 11.6, 16.3, 14.8, 17.4, 5.9, 0.9, -6.8, -21.4,
 -16.6, -15.8, -4.1, 1.7, 10.9, 14.5, 16.8, 16.8, 9.8,
 4.2, -12.8, -18.5, -25.2, -16.8, -14.6, 2.4, 6.2, 14.9,
 17.9, 13.6, 7.6, 5.3, -4.2, -8.5, -17.5, -17.7, -13.4,
 0.1, 8.8, 14.3, 19.3, 14. , 10. , 3.5, -6.1, -16.8,
 -16.5, -12.5, -10. , 5.8, 11.6, 14.4, 17.7, 16.7, 11.6,
 1.4, -7.3, -16. , -22.2, -7.8, -5.1, 6. , 13.6, 15.5,
 16.3, 12.3, 9.8, 5.2, -7.9, -21.1, -24.2, -17.4, -7.6,
 2.5, 11.7, 15.4, 16.7, 14.4, 10.6, 5.9, -10.4, -18. ,
 -21.5, -25.6, -10.2, -2.9, 7.8, 15. , 19.2, 15.3, 11.3,
 4.4, -6. , -14.4, -21. , -15.4, -11.5, 7.4, 13.3, 15.2,
 17.6, 15.1, 9.3, 5. , -4.4, -19.4, -12.6, -11.4, -2.6,
 3.2, 10.9, 14.4, 17.9, 19.1, 11.8, 1.9, -0.9, -14.2,
 -29.7, -17.6, -9.6, 0.5, 9.2, 14.3, 17.7, 14.6, 10.1,
 4.2, -10.7, -14.4, -14.5, -13.1, -8.5, 0.5, 8. , 15.1,
 18.8, 19.4, 9.3, 4.4, -3.2, -23.6, -14.2, -6.7, -8. ,
 6.8, 9. , 15.8, 18.6, 18.8, 7.6, 2.2, -11.3, -21.2,
 -17.2, -19.5, -4.9, 4.3, 11.8, 12.3, 17.1, 14.3, 7.7,
 3. , -16.7, -14.2, -11.7, -16.4, -3.8, 2.1, 12.1, 15.3,
 16.9, 16.2, 8.5, 4.7, -10.7, -10.7, -11.6, -10.2, -6.2,
 6.4, 12.7, 17.9, 17.3, 13.7, 12.6, 3.6, -2.7, -10.8,
 -20.3, -15.3, -6.8, 4. , 13.9, 19.3, 18.5, 15.8, 10.9,
 3. , -5.3, -12.3, -15.7, -16.7, -12.3, 3.5, 10.7, 16. ,
 19.8, 17.1, 10.8, 4.1, -9.1, -18.6, -15.9, -17.7, -4.2,
 2.6, 10.3, 16.4, 17.3, 16.9, 12.2, 1.7, -9.7, -21.7,
 -19.3, -10.7, -9.5, 4.7, 11.3, 16.5, 18.5, 19.8, 10.6,
 -0.3, -10.2, -14.2, -13.2, -11.1, -1.8, 3.4, 9.3, 14. ,
 16.1, 14.2, 8.4, 3.2, -3.1, -20.8, -18.3, -14.1, -1.5,
 3.9, 11. , 12.8, 15.6, 15.8, 8.7, 2.9, -7.4, -11.3,
 -23.2, -21.6, -2. , 3.8, 10.3, 15. , 17.1, 15.6, 12.9,
 4.6, -8. , -15.6, -16.1, -14.1, -8.4, -1.1, 9.3, 16.9,
 16.9, 15.7, 11.4, 4.3, -11.3, -17.1, -25. , -14. , -11.6,
 1.4, 7.9, 16.2, 17.6, 17.9, 10. , 2.6, -12.5, -20.1,
 -22.3, -11.9, -10.2, 0.4, 9.2, 16.6, 18.4, 17.8, 12.6,
 3. , -4.7, -6. , -19.3, -6.1, -7.8, 6.6, 12.3, 14.4,
 18.5, 18.9, 12.1, 4.1, -5.6, -14.7, -18.2, -11.7, -4.8,
 5.6, 9.9, 13.8, 16.5, 17. , 10.1, 3.2, -3.3, -9. ,
 -19.7, -11.9, -3.4, 3.1, 8.9, 13.4, 17.6, 15.9, 10.8,
 4.4, -6.9, -21. , -9.8, -18. , -4.1, 3.6, 11.6, 14.8,
 18.7, 18.7, 12.8, 1.7, -2.2, -13.9, -16.8, -9.9, -14.6,
 -1.7, 7.6, 17.4, 20.3, 16.2, 10.2, -1.9, -6.3, -10.5,
 -18.5, -18.6, -10.1, 3.8, 11.7, 15.7, 18.5, 19.6, 10.1,
 5.6, -9.5, -11.4, -21.5, -11.2, NaN, 3.5, NaN, 13. ,
 16.8, 13.9, 10.1, 2.7, -2.9, -15.8, -18.8, -12.6, -6.3,
 5.7, 9.5, 14.2, 17.5, 14.9, 10.8, 4. , -3.4, -9.3,
 -8.7, -13. , -8.1, 6.8, 11. , 16.6, 19.5, 17.3, 11.5,
 1.5, -10.4, -11.9, -14.2, -18.3, -6.1, 2.9, 10.6, 14.3,
 20.6, 14.9, 10. , 4.8, -7.5])
-- 
***********************************************************************************
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
************************************************************************************

On Tue, Sep 27, 2011 at 4:00 PM, Benjamin Root <ben...@ou...> wrote:
> No, I couldn't figure out how to do that on sourceforge.
OK, I'm working on this and will send out the ANN when it is done.
Thanks everyone for their help, and Ben especially for herding the
cats and pushing us forward.
JDH

On Tue, Sep 27, 2011 at 3:58 PM, John Hunter <jd...@gm...> wrote:
> On Tue, Sep 27, 2011 at 3:23 PM, Russell Owen <ro...@uw...> wrote:
> > I just uploaded a Mac binary for 32-bit Python 2.7. I propose to leave it
> at that unless the 2.6 version is required for the release candidate.
>
> Great.
>
> Ben, did you have any luck getting the 1.1.0 docs hosted in some temp
> location?
>
No, I couldn't figure out how to do that on sourceforge.
Ben Root

On Tue, Sep 27, 2011 at 3:23 PM, Russell Owen <ro...@uw...> wrote:
> I just uploaded a Mac binary for 32-bit Python 2.7. I propose to leave it at that unless the 2.6 version is required for the release candidate.
Great.
Ben, did you have any luck getting the 1.1.0 docs hosted in some temp location?

I just uploaded a Mac binary for 32-bit Python 2.7. I propose to leave it at that unless the 2.6 version is required for the release candidate.
-- Russell
On Sep 27, 2011, at 9:32 AM, John Hunter wrote:
> On Tue, Sep 27, 2011 at 11:30 AM, Sandro Tosi <mo...@de...> wrote:
>> On Tue, Sep 27, 2011 at 18:23, John Hunter <jd...@gm...> wrote:
>>> On Sat, Sep 24, 2011 at 12:37 AM, Benjamin Root <ben...@ou...> wrote:
>>> 
>>>> Working through the checklist, I am wary of cutting an RC at this particular
>>>> moment.
>> 
>> It was announced here:
>> 
>> http://sourceforge.net/mailarchive/message.php?msg_id=28136691
>> 
>> I'm testing the debian package and I'll follow up with my thoughts on
>> it when done.
> 
> Thanks, missed that. Christoph and Russell, will you have a chance to
> build some binaries we can upload for testing? Once this is done, we
> should announce to the user list.

In article 
<CAN...@ma...>,
 Benjamin Root <ben...@ou...> wrote:
> The source tarball for the rc can be found here:
> 
> https://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.1.0/
> 
> binary builders can use this and upload the binaries there. Please let me
> know when the windows and mac binaries are ready so that we can make an
> official call for testing. I also tagged the v1.1.0-rc1 commit on github.
I put up a Mac installer for Python 2.7. It passed all unit tests but 
I've not done anything else with it. If you need an installer for 2.6 I 
can do that as well, but was hoping to wait for the final.
-- Russell

On Tue, Sep 27, 2011 at 12:20 PM, Sandro Tosi <mo...@de...> wrote:
> On Tue, Sep 27, 2011 at 18:30, Sandro Tosi <mo...@de...> wrote:
> > On Tue, Sep 27, 2011 at 18:23, John Hunter <jd...@gm...> wrote:
> >> On Sat, Sep 24, 2011 at 12:37 AM, Benjamin Root <ben...@ou...>
> wrote:
> >>
> >>> Working through the checklist, I am wary of cutting an RC at this
> particular
> >>> moment.
> >
> > It was announced here:
> >
> > http://sourceforge.net/mailarchive/message.php?msg_id=28136691
> >
> > I'm testing the debian package and I'll follow up with my thoughts on
> > it when done.
>
> Ok, so here they are:
>
> - what's the difference between examples/ and lib/mpl_examples/ dirs?
> diff says they are identical, but maybe there's a reason there are 2
> copies of them. If not, maybe you can remove one, so to reduce
> confusion :)
>
lib/mpl_examples/ is a symbolic link to examples. It is there because of
issues with sphinx doc generation.
> - the tarball has grown a lot in size, ~3 times, but in the changelog
> there's no mention of the reason of this growth (baseline images for
> testing)
>
Hmm, I tried my best to clean up the source tree after testing, but maybe I
missed something?
> - the doc generation stops at thumbnails regen, it seems 'thumbnails'
> dict is empty and so it stucks there.
>
>
And maybe I got rid of something I shouldn't have?
Ben Root

On Tue, Sep 27, 2011 at 18:30, Sandro Tosi <mo...@de...> wrote:
> On Tue, Sep 27, 2011 at 18:23, John Hunter <jd...@gm...> wrote:
>> On Sat, Sep 24, 2011 at 12:37 AM, Benjamin Root <ben...@ou...> wrote:
>>
>>> Working through the checklist, I am wary of cutting an RC at this particular
>>> moment.
>
> It was announced here:
>
> http://sourceforge.net/mailarchive/message.php?msg_id=28136691
>
> I'm testing the debian package and I'll follow up with my thoughts on
> it when done.
Ok, so here they are:
- what's the difference between examples/ and lib/mpl_examples/ dirs?
diff says they are identical, but maybe there's a reason there are 2
copies of them. If not, maybe you can remove one, so to reduce
confusion :)
- the tarball has grown a lot in size, ~3 times, but in the changelog
there's no mention of the reason of this growth (baseline images for
testing)
- the doc generation stops at thumbnails regen, it seems 'thumbnails'
dict is empty and so it stucks there.
If you want me to do any tests, just ask me.
Cheers,
-- 
Sandro Tosi (aka morph, morpheus, matrixhasu)
My website: http://matrixhasu.altervista.org/
Me at Debian: http://wiki.debian.org/SandroTosi

On Tue, Sep 27, 2011 at 11:41 AM, Christoph Gohlke <cg...@uc...> wrote:
> matplotlib-1.1.0.win installers are at
> <http://www.lfd.uci.edu/~gohlke/pythonlibs/#matplotlib>. They were built
> against numpy 1.6.1.
Ahh, yes, I would have seen that if I had read Sandro's link to the
end. Must read more carefully. Thanks.

On 9/27/2011 9:32 AM, John Hunter wrote:
> On Tue, Sep 27, 2011 at 11:30 AM, Sandro Tosi<mo...@de...> wrote:
>> On Tue, Sep 27, 2011 at 18:23, John Hunter<jd...@gm...> wrote:
>>> On Sat, Sep 24, 2011 at 12:37 AM, Benjamin Root<ben...@ou...> wrote:
>>>
>>>> Working through the checklist, I am wary of cutting an RC at this particular
>>>> moment.
>>
>> It was announced here:
>>
>> http://sourceforge.net/mailarchive/message.php?msg_id=28136691
>>
>> I'm testing the debian package and I'll follow up with my thoughts on
>> it when done.
>
> Thanks, missed that. Christoph and Russell, will you have a chance to
> build some binaries we can upload for testing? Once this is done, we
> should announce to the user list.
>
>
matplotlib-1.1.0.win installers are at 
<http://www.lfd.uci.edu/~gohlke/pythonlibs/#matplotlib>. They were built 
against numpy 1.6.1.
Christoph

On Tue, Sep 27, 2011 at 11:30 AM, Sandro Tosi <mo...@de...> wrote:
> On Tue, Sep 27, 2011 at 18:23, John Hunter <jd...@gm...> wrote:
>> On Sat, Sep 24, 2011 at 12:37 AM, Benjamin Root <ben...@ou...> wrote:
>>
>>> Working through the checklist, I am wary of cutting an RC at this particular
>>> moment.
>
> It was announced here:
>
> http://sourceforge.net/mailarchive/message.php?msg_id=28136691
>
> I'm testing the debian package and I'll follow up with my thoughts on
> it when done.
Thanks, missed that. Christoph and Russell, will you have a chance to
build some binaries we can upload for testing? Once this is done, we
should announce to the user list.

On Tue, Sep 27, 2011 at 18:23, John Hunter <jd...@gm...> wrote:
> On Sat, Sep 24, 2011 at 12:37 AM, Benjamin Root <ben...@ou...> wrote:
>
>> Working through the checklist, I am wary of cutting an RC at this particular
>> moment.
It was announced here:
http://sourceforge.net/mailarchive/message.php?msg_id=28136691
I'm testing the debian package and I'll follow up with my thoughts on
it when done.
Cheers,
-- 
Sandro Tosi (aka morph, morpheus, matrixhasu)
My website: http://matrixhasu.altervista.org/
Me at Debian: http://wiki.debian.org/SandroTosi

On Sat, Sep 24, 2011 at 12:37 AM, Benjamin Root <ben...@ou...> wrote:
> Working through the checklist, I am wary of cutting an RC at this particular
> moment. Why is just about a quarter of all the tests coming back as known
> fails? Also, running unit/memleak_hawaii3.py is showing what seems to be a
> memory leak (GTKAgg, Python 2.7, Ubuntu, 32-bit) on my system. The step ups
> are about 40-50 KB at about once every 10 seconds.
Hey Ben,
You haven't announced or posted an rc tarball for testing yet have
you? Would you like me to do this? Are we holding on anything before
putting out something for general testing?

On 09/24/2011 03:33 PM, Jouni K. Seppänen wrote:
> Jouni K. Seppänen<jk...@ik...> writes:
>
>> Jouni K. Seppänen<jk...@ik...> writes:
>>
>>> The light and condensed fonts are DejaVuSans, which happened to be
>>> installed on the system on which that test was created. I think the test
>>> should only rely on the fonts delivered with matplotlib.
>> I created a github issue:
>>
>> https://github.com/matplotlib/matplotlib/issues/488
>>
>> I'm not quite sure if this should be considered release critical: it
>> does cause a test to break on some systems, but this reflects a problem
>> in the test, not in the functionality being tested.
> I marked it release_critical nonetheless, since I think we can expect
> downstream packagers and users to want the tests to pass.
>
I just issued a pull request with a possible fix:
https://github.com/matplotlib/matplotlib/pull/495
Mike

On 09/24/2011 08:22 AM, John Hunter wrote:
> On Fri, Sep 23, 2011 at 5:04 PM, Benjamin Root<ben...@ou...> wrote:
>> Personally, my vote is to live with the deprecation warnings. They only
>> happen if you turn warnings on in python 2.7 (by default, they are off). I
>> am not that comfortable with such a change this close to release for a minor
>> issue (unless I am missing something..?)
> I trust Michael to get this right ahead of the release. It's a known
> issue he's fixed before. I can test on a python 2.4 and 2.7 so if it
> works on both of those I am comfortable. If we break something, we
> can fix it.
I have a pull request for this here:
https://github.com/matplotlib/matplotlib/pull/493
Mike

This is all fine. I just wanted to make sure that the documentation on 
the web got squared with the current state of things.
M
On 9/24/11 10:57 PM, Kevin Davies wrote:
> Mike,
> sankey_demo.py doesn't exist in the latest build. It has been renamed to
> sankey_demo_old.py and there are 3 new sankey-related demos:
> sankey_demo_basics.py
> sankey_demo_links.py
> sankey_demo_rankine.py
>
> I'm not sure where sankey_demo.py is called from, but I think it should
> be changed.
>
> Kevin
>

On Saturday, September 24, 2011, Mike Kaufman <mc...@gm...> wrote:
> Possible bug report:
>
> "Exception occurred rendering plot."
>
> http://matplotlib.github.com/examples/api/sankey_demo.html
>
> This is with firefox 6.0.2
>
> M
>
This was discovered and fixed in master a couple of months ago.
 Essentially, any example that did "if __name__ == '__main__'", then they
never got rendered by the doc builder, and no message is emitted to the
builder.
The upcoming release (just cut a RC this morning) has the new sankey module
and several fully working examples.
Cheers!
Ben Root

Possible bug report:
"Exception occurred rendering plot."
http://matplotlib.github.com/examples/api/sankey_demo.html
This is with firefox 6.0.2
M

Jouni K. Seppänen <jk...@ik...> writes:
> Jouni K. Seppänen <jk...@ik...> writes:
>
>> The light and condensed fonts are DejaVuSans, which happened to be
>> installed on the system on which that test was created. I think the test
>> should only rely on the fonts delivered with matplotlib.
>
> I created a github issue:
>
> https://github.com/matplotlib/matplotlib/issues/488
>
> I'm not quite sure if this should be considered release critical: it
> does cause a test to break on some systems, but this reflects a problem
> in the test, not in the functionality being tested.
I marked it release_critical nonetheless, since I think we can expect
downstream packagers and users to want the tests to pass.
-- 
Jouni K. Seppänen
http://www.iki.fi/jks

Benjamin Root <ben...@ou...> writes:
>> FAIL: matplotlib.tests.test_mlab.test_recarray_csv_roundtrip
>
> I am seeing this one on my 64-bit machine, but not on my 32-bit machine
> (both Linux).
Fix in https://github.com/matplotlib/matplotlib/pull/490
The uninitialized memory being written to disk sometimes contained NaN
values, and the test failed since NaN != NaN.
-- 
Jouni K. Seppänen
http://www.iki.fi/jks