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On Sun, Aug 29, 2010 at 6:29 AM, xyz <mi...@op...> wrote:

> On 29/08/10 17:28, Eric Firing wrote:
> > On 08/28/2010 06:40 PM, xyz wrote:
> >> Hello,
> >> If I use autoscale_view than:
> >> * plt.text appears outside x and y coordinates
> >> * and the coordinates starts do not from 0 whereas I use ax.set_xlim(0)
> >> and ax.set_ylim(0)
> >>
> >> What did I wrong?
> > The call to autoscale_view overrides the earlier calls to set_xlim and
> > set_ylim. There is no built-in mechanism for autoscaling only the upper
> > limit, and holding the lower limit fixed.  You could make such a
> > mechanism by writing a custom Locator, but it may make more sense to
> > calculate the upper limit directly in your code based on your data, and
> > then use set_xlim and set_ylim to set both ends of each axis.
> >
> > Eric
> >
>
> Thank you for your answer. However, I do not how to calculate the upper
> limit directly from my code based on my data, and then use set_xlim and
> set_ylim to set both ends of each axis. Could you show me please how to
> do it?
>
> Thank you in advance.
>
>
You could try:

maxy = max(max(y1), max(y2))
maxx = max(x)

ax.set_xlim((0.0, maxx))
ax.set_ylim((0.0, maxy))


I hope that helps,
Ben Root

On 29/08/10 17:28, Eric Firing wrote:
> On 08/28/2010 06:40 PM, xyz wrote:
>> Hello,
>> If I use autoscale_view than:
>> * plt.text appears outside x and y coordinates
>> * and the coordinates starts do not from 0 whereas I use ax.set_xlim(0)
>> and ax.set_ylim(0)
>>
>> What did I wrong?
> The call to autoscale_view overrides the earlier calls to set_xlim and
> set_ylim. There is no built-in mechanism for autoscaling only the upper
> limit, and holding the lower limit fixed.  You could make such a
> mechanism by writing a custom Locator, but it may make more sense to
> calculate the upper limit directly in your code based on your data, and
> then use set_xlim and set_ylim to set both ends of each axis.
>
> Eric
>

Thank you for your answer. However, I do not how to calculate the upper 
limit directly from my code based on my data, and then use set_xlim and 
set_ylim to set both ends of each axis. Could you show me please how to 
do it?

Thank you in advance.

from pylab import *
import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 
20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
y1 = [20, 24, 8, 4, 12, 22, 31, 25, 15, 28, 12, 27, 22, 22, 27, 14, 32, 
28, 8, 17, 2, 8, 29, 13, 14, 20, 11, 28, 8]
y2= [2, 32, 28, 1, 22, 11, 14, 27, 3, 31, 12, 20, 32, 24, 24, 16, 7, 10, 
12, 11, 3, 32, 10, 20, 14, 14, 3, 25, 14]
point_labels1 = ['A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 
'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 
'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 
'A=1']
point_labels2 = ['B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 
'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 
'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 
'B=1']

fig = plt.figure()
ax = fig.add_subplot(111)

ax.set_title('The red point should be on the path')

plt.plot(x, y1, 'bo', x, y2, 'go')
ax.grid(True)
ax.set_xlim(0.0)
ax.set_ylim(0.0)

fig.autofmt_xdate()

plt.xticks(range(0, 40, 1))

plt.yticks(range(0, 40, 1))
plt.xlabel('Longitude')
plt.ylabel('Latitude')
plt.legend(('Model length', 'Data length'),
            'best', shadow=True, fancybox=True)

for i, label in enumerate(y1):
   plt.text (x[i], y1[i]+0.2, label,
             horizontalalignment='center' )

for i, label in enumerate(y2):
   plt.text (x[i], y2[i]+0.2, label,
             horizontalalignment='center' )


ax.autoscale_view()
plt.savefig('test.png')
plt.show()

On 29/08/10 17:28, Eric Firing wrote:
> On 08/28/2010 06:40 PM, xyz wrote:
>    
>> Hello,
>> If I use autoscale_view than:
>> * plt.text appears outside x and y coordinates
>> * and the coordinates starts do not from 0 whereas I use ax.set_xlim(0)
>> and ax.set_ylim(0)
>>
>> What did I wrong?
>>      
> The call to autoscale_view overrides the earlier calls to set_xlim and
> set_ylim. There is no built-in mechanism for autoscaling only the upper
> limit, and holding the lower limit fixed.  You could make such a
> mechanism by writing a custom Locator, but it may make more sense to
> calculate the upper limit directly in your code based on your data, and
> then use set_xlim and set_ylim to set both ends of each axis.
>
> Eric
>
>    

Thank you for your answer. However, I do not how to calculate the upper 
limit directly from my code based on my data, and then use set_xlim and 
set_ylim to set both ends of each axis. Could you show me please how to 
do it?

Thank you in advance.

from pylab import *
import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 
20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
y1 = [20, 24, 8, 4, 12, 22, 31, 25, 15, 28, 12, 27, 22, 22, 27, 14, 32, 
28, 8, 17, 2, 8, 29, 13, 14, 20, 11, 28, 8]
y2= [2, 32, 28, 1, 22, 11, 14, 27, 3, 31, 12, 20, 32, 24, 24, 16, 7, 10, 
12, 11, 3, 32, 10, 20, 14, 14, 3, 25, 14]
point_labels1 = ['A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 
'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 
'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1']
point_labels2 = ['B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 
'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 
'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1']

fig = plt.figure()
ax = fig.add_subplot(111)

ax.set_title('The red point should be on the path')

plt.plot(x, y1, 'bo', x, y2, 'go')
ax.grid(True)
ax.set_xlim(0.0)
ax.set_ylim(0.0)

fig.autofmt_xdate()

plt.xticks(range(0, 40, 1))

plt.yticks(range(0, 40, 1))
plt.xlabel('Longitude')
plt.ylabel('Latitude')
plt.legend(('Model length', 'Data length'),
            'best', shadow=True, fancybox=True)

for i, label in enumerate(y1):
   plt.text (x[i], y1[i]+0.2, label,
             horizontalalignment='center' )

for i, label in enumerate(y2):
   plt.text (x[i], y2[i]+0.2, label,
             horizontalalignment='center' )


ax.autoscale_view()
plt.savefig('test.png')
plt.show()

On 08/28/2010 06:40 PM, xyz wrote:
> Hello,
> If I use autoscale_view than:
> * plt.text appears outside x and y coordinates
> * and the coordinates starts do not from 0 whereas I use ax.set_xlim(0)
> and ax.set_ylim(0)
>
> What did I wrong?

The call to autoscale_view overrides the earlier calls to set_xlim and 
set_ylim. There is no built-in mechanism for autoscaling only the upper 
limit, and holding the lower limit fixed.  You could make such a 
mechanism by writing a custom Locator, but it may make more sense to 
calculate the upper limit directly in your code based on your data, and 
then use set_xlim and set_ylim to set both ends of each axis.

Eric

>
> from pylab import *
> import matplotlib.pyplot as plt
>
> x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
> 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
> y1 = [20, 24, 8, 4, 12, 22, 31, 25, 15, 28, 12, 27, 22, 22, 27, 14, 32,
> 28, 8, 17, 2, 8, 29, 13, 14, 20, 11, 28, 8]
> y2= [2, 32, 28, 1, 22, 11, 14, 27, 3, 31, 12, 20, 32, 24, 24, 16, 7, 10,
> 12, 11, 3, 32, 10, 20, 14, 14, 3, 25, 14]
> point_labels1 = ['A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1',
> 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1',
> 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1']
> point_labels2 = ['B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1',
> 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1',
> 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1']
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
>
> ax.set_title('The red point should be on the path')
>
> plt.plot(x, y1, 'bo', x, y2, 'go')
> ax.grid(True)
> ax.set_xlim(0.0)
> ax.set_ylim(0.0)
>
> fig.autofmt_xdate()
>
> plt.xticks(range(0, 40, 1))
>
> plt.yticks(range(0, 40, 1))
> plt.xlabel('Longitude')
> plt.ylabel('Latitude')
> plt.legend(('Model length', 'Data length'),
>              'best', shadow=True, fancybox=True)
>
> for i, label in enumerate(y1):
>     plt.text (x[i], y1[i]+0.2, label,
>               horizontalalignment='center' )
>
> for i, label in enumerate(y2):
>     plt.text (x[i], y2[i]+0.2, label,
>               horizontalalignment='center' )
>
>
> ax.autoscale_view()
> plt.savefig('test.png')
> plt.show()

Hello,
If I use autoscale_view than:
* plt.text appears outside x and y coordinates
* and the coordinates starts do not from 0 whereas I use ax.set_xlim(0) 
and ax.set_ylim(0)

What did I wrong?

from pylab import *
import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 
20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
y1 = [20, 24, 8, 4, 12, 22, 31, 25, 15, 28, 12, 27, 22, 22, 27, 14, 32, 
28, 8, 17, 2, 8, 29, 13, 14, 20, 11, 28, 8]
y2= [2, 32, 28, 1, 22, 11, 14, 27, 3, 31, 12, 20, 32, 24, 24, 16, 7, 10, 
12, 11, 3, 32, 10, 20, 14, 14, 3, 25, 14]
point_labels1 = ['A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 
'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 
'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1']
point_labels2 = ['B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 
'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 
'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1']

fig = plt.figure()
ax = fig.add_subplot(111)

ax.set_title('The red point should be on the path')

plt.plot(x, y1, 'bo', x, y2, 'go')
ax.grid(True)
ax.set_xlim(0.0)
ax.set_ylim(0.0)

fig.autofmt_xdate()

plt.xticks(range(0, 40, 1))

plt.yticks(range(0, 40, 1))
plt.xlabel('Longitude')
plt.ylabel('Latitude')
plt.legend(('Model length', 'Data length'),
            'best', shadow=True, fancybox=True)

for i, label in enumerate(y1):
   plt.text (x[i], y1[i]+0.2, label,
             horizontalalignment='center' )

for i, label in enumerate(y2):
   plt.text (x[i], y2[i]+0.2, label,
             horizontalalignment='center' )


ax.autoscale_view()
plt.savefig('test.png')
plt.show()

I just remembered that there has been a bug in old version of
matplotlib that annotation_clip parameter is not correctly set when
given as a keyword parameter of "annotate" function. The bug has been
fixed.

http://www.mail-archive.com/mat...@li.../msg15068.html

As a workaround, use

ann = pylab.annotate('',(-1,3.1),(0,3.1),va='center',ha='center',
              arrowprops=dict(arrowstyle='<->'))
ann.set_annotation_clip(False)

Regards,

-JJ



On Sun, Aug 29, 2010 at 5:59 AM, Stan Schymanski <ss...@bg...> wrote:
> Hi JJ,
>
> Thanks for the advice. However, the annotation_clip=False addition does not
> make a difference to me. I am using Matplotlib from within Sage, though; not
> sure if this makes it behave differently.
>
> Cheers
> Stan
>
> On 8/28/10 5:09 PM, Jae-Joon Lee wrote:
>>
>> I think this change has been there for a while.
>> For recent versions of matplotlib, the default behavior of annotate is
>> that, when xycoords=="data", the arrow is drawn only when the
>> annotated point is inside the axes.
>> To override this behavior, use annotation_clip keyword parameter.
>>
>>
>> pylab.annotate('',(-1,3.1),(0,3.1),va='center',ha='center',
>>                arrowprops=dict(arrowstyle='<->'), annotation_clip=False)
>>
>> Regards,
>>
>> -JJ
>>
>>
>> On Fri, Aug 27, 2010 at 9:21 PM, Stan Schymanski<ss...@bg...>
>>  wrote:
>>
>>>
>>> Dear all,
>>>
>>> I don't know which update it was that broke it, but this used to work:
>>>
>>> import numpy
>>> import pylab
>>> pylab.clf()
>>> fig = pylab.figure(1,figsize=(8,5))
>>> ax = fig.add_subplot(111, autoscale_on=False, xlim=(-1,5),
>>> ylim=(-4,3))
>>>
>>> t = numpy.arange(0.0, 5.0, 0.01)
>>> s = numpy.cos(2*numpy.pi*t)
>>> line, = ax.plot(t, s, lw=3, color='purple')
>>> pylab.text(-0.5,3.2,'no data',ha='center')
>>>
>>> pylab.annotate('',(-1,3.1),(0,3.1),va='center',ha='center',arrowprops=dict(arrowstyle='<->'))
>>> pylab.savefig('blah.png')
>>>
>>> This used to plot an arrow under the text 'no data' but above the main
>>> plot. Now this arrow does not appear unless at least part of it is within
>>> the plotting area. Change one of the '3.1' in the code above to, say, 3.0
>>> and the whole arrow is displayed. Is this a bug or is there a new way of
>>> achieving what I want?
>>>
>>> Thanks for your help already!
>>>
>>> Cheers
>>> Stan
>>>
>>>
>>>
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>>>
>>>
>
> --
> ________________________________________
>
> Stan Schymanski
> Scientist
> Max Planck Institute for Biogeochemistry
> PO Box 10 01 64
> D-07701 Jena, Germany
>
> Phone: +49.3641.576264
> Fax: +49.3641.577274
> WWW: http://www.bgc-jena.mpg.de/~sschym
>
> Biospheric Theory and Modelling Group
> http://www.bgc-jena.mpg.de/bgc-theory/
> _________________________________________
>
>