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On Sat, Aug 21, 2010 at 2:39 PM, Benjamin Root <ben...@ou...> wrote:

>
>
> On Sat, Aug 21, 2010 at 7:03 AM, David Pine <dj...@gm...> wrote:
>
>> Is it possible to do animation with the mplot3d toolkit?  It seems like it
>> ought to work but I am having trouble.  In particular, it seems that the
>> set_xdata and set_ydata commands do not work.  I would imagine you need a
>> set_zdata function as well but that seems not to exist, which suggests that
>> mplot3d isn't animation ready yet.  Is that right or am I missing something?
>>  Thanks.
>>
>> David Pine
>>
>
> Yes, it is very much possible to make 3d animations.  I have written up
> some examples that used Ryan May's prototype animation module.  It is even
> possible to do multiple 3d animated subplots.
>
> Check out Ryan's github repo: http://github.com/dopplershift/Animation
>
> I believe it contains my "fish tank" example.  If not, I might have it in
> my fork: http://github.com/WeatherGod/Animation
>
> I hope this helps,
> Ben Root
>
>
As an additional note, I dug through my fishtank example and found my
update_line() function with a note to myself:

def update_lines(num, dataLines, lines) :
    for line, data in zip(lines, dataLines) :
        # NOTE: there is no .set_data() for 3 dim data...
        line.set_data(data[0:2, num:num+2])
        line.set_3d_properties(data[2,num:num+2])
    return lines

So that is how I updated the lines by using the 2d set_data() function, and
then using set_3d_properties() to add the 3rd dimension.

Ben Root

On Sat, Aug 21, 2010 at 7:03 AM, David Pine <dj...@gm...> wrote:

> Is it possible to do animation with the mplot3d toolkit?  It seems like it
> ought to work but I am having trouble.  In particular, it seems that the
> set_xdata and set_ydata commands do not work.  I would imagine you need a
> set_zdata function as well but that seems not to exist, which suggests that
> mplot3d isn't animation ready yet.  Is that right or am I missing something?
>  Thanks.
>
> David Pine
>

Yes, it is very much possible to make 3d animations.  I have written up some
examples that used Ryan May's prototype animation module.  It is even
possible to do multiple 3d animated subplots.

Check out Ryan's github repo: http://github.com/dopplershift/Animation

I believe it contains my "fish tank" example.  If not, I might have it in my
fork: http://github.com/WeatherGod/Animation

I hope this helps,
Ben Root

Thanks for the amazingly quick turnaround!
-Joe

On Sat, Aug 21, 2010 at 1:34 PM, Eric Firing <ef...@ha...> wrote:

> On 08/20/2010 12:18 PM, Joe Kington wrote:
> > Hi,
> >
> > I've recently noticed that setting the y-tick locations on an image plot
> > changes the y-axis limits, while changing the x-tick locations does not
> > change the x-axis limits.  I wouldn't have expected either to change the
> > axis limits, but it seems quite inconsistent that the y-axis and x-axis
> > behave differently in this situation.
> >
> > The axis limits are easily restored by a call to "ax.axis('image')", but
> > this seems unnecessary.
> >
> > A very quick search of the bug tracker doesn't reveal anything matching
> > this description...
> >
> > Is this expected behavior or a bug?
> >
> > As an example, setting the y-tick locations changes the y-axis limits:
> > import numpy as np
> > import matplotlib.pyplot as plt
> >
> > num = 10
> > data = np.arange(num**2).reshape((num,num))
> >
> > fig = plt.figure()
> > ax = fig.add_subplot(111)
> >
> > cax = ax.imshow(data)
> >
> > ax.set_yticks(range(num//2))
> >
> > fig.show()
> >
> > However, setting the x-tick locations does not change the axis limits...
> > import numpy as np
> > import matplotlib.pyplot as plt
> >
> > num = 10
> > data = np.arange(num**2).reshape((num,num))
> >
> > fig = plt.figure()
> > ax = fig.add_subplot(111)
> >
> > cax = ax.imshow(data)
> >
> > ax.set_xticks(range(num//2))
> >
> > fig.show()
> >
> > As a reference, I'm running matplotlib 1.0.0 with python 2.7.0 on a
> > 64-bit Linux (kernel 2.6.31) machine.  I can confirm this on python 2.6
> > and matplotlib 0.99 as well, though.
> >
> > If this isn't expected behavior, I'll be glad to open a bug report.
>
> Joe,
>
> Thanks for the report.  The fix is in svn 8652 and 8653.
>
> Eric
>
> >
> > Thanks!
> > -Joe
>
>
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On 08/20/2010 12:18 PM, Joe Kington wrote:
> Hi,
>
> I've recently noticed that setting the y-tick locations on an image plot
> changes the y-axis limits, while changing the x-tick locations does not
> change the x-axis limits.  I wouldn't have expected either to change the
> axis limits, but it seems quite inconsistent that the y-axis and x-axis
> behave differently in this situation.
>
> The axis limits are easily restored by a call to "ax.axis('image')", but
> this seems unnecessary.
>
> A very quick search of the bug tracker doesn't reveal anything matching
> this description...
>
> Is this expected behavior or a bug?
>
> As an example, setting the y-tick locations changes the y-axis limits:
> import numpy as np
> import matplotlib.pyplot as plt
>
> num = 10
> data = np.arange(num**2).reshape((num,num))
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
>
> cax = ax.imshow(data)
>
> ax.set_yticks(range(num//2))
>
> fig.show()
>
> However, setting the x-tick locations does not change the axis limits...
> import numpy as np
> import matplotlib.pyplot as plt
>
> num = 10
> data = np.arange(num**2).reshape((num,num))
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
>
> cax = ax.imshow(data)
>
> ax.set_xticks(range(num//2))
>
> fig.show()
>
> As a reference, I'm running matplotlib 1.0.0 with python 2.7.0 on a
> 64-bit Linux (kernel 2.6.31) machine.  I can confirm this on python 2.6
> and matplotlib 0.99 as well, though.
>
> If this isn't expected behavior, I'll be glad to open a bug report.

Joe,

Thanks for the report.  The fix is in svn 8652 and 8653.

Eric

>
> Thanks!
> -Joe

On 21/08/10 21:14, Jose Gómez-Dans wrote:
> Use plt.text (x, y, point_labels ) or something along those lines.
>
> Jose
>    

With plt.text() the plot line is sometimes covered by the point labels.  
Is there any option which recognise a collusion between the line and label?

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]
y = [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]

point_labels = ['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']

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

ax.set_title('The red point should be on the path')
ax.plot(x, y, 'go-')
ax.grid(True)

# rotates and right aligns the x labels, and moves the bottom of the
# axes up to make room for them
fig.autofmt_xdate()

# set x and y labels
plt.xticks(range(0, 40, 1))

#ax.set_xticks(4.5)
plt.yticks(range(0, 40, 1))

for i, label in enumerate(point_labels):
   plt.text (x[i], y[i], label )

plt.show()

Is it possible to do animation with the mplot3d toolkit?  It seems like it ought to work but I am having trouble.  In particular, it seems that the set_xdata and set_ydata commands do not work.  I would imagine you need a set_zdata function as well but that seems not to exist, which suggests that mplot3d isn't animation ready yet.  Is that right or am I missing something?  Thanks.

David Pine

On Saturday 21 Aug 2010 08:00:33 xyz wrote:
> I would like to label all (x[i],y[i]) points in the plot with
> point_labels[i].
> 
> Is it possible to label all points in a plot?

Use plt.text (x, y, point_labels ) or something along those lines.

Jose

On 08/20/2010 12:18 PM, Joe Kington wrote:
> Hi,
>
> I've recently noticed that setting the y-tick locations on an image plot
> changes the y-axis limits, while changing the x-tick locations does not
> change the x-axis limits.  I wouldn't have expected either to change the
> axis limits, but it seems quite inconsistent that the y-axis and x-axis
> behave differently in this situation.
>
> The axis limits are easily restored by a call to "ax.axis('image')", but
> this seems unnecessary.
>
> A very quick search of the bug tracker doesn't reveal anything matching
> this description...
>
> Is this expected behavior or a bug?
>
> As an example, setting the y-tick locations changes the y-axis limits:
> import numpy as np
> import matplotlib.pyplot as plt
>
> num = 10
> data = np.arange(num**2).reshape((num,num))
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
>
> cax = ax.imshow(data)
>
> ax.set_yticks(range(num//2))
>
> fig.show()
>
> However, setting the x-tick locations does not change the axis limits...
> import numpy as np
> import matplotlib.pyplot as plt
>
> num = 10
> data = np.arange(num**2).reshape((num,num))
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
>
> cax = ax.imshow(data)
>
> ax.set_xticks(range(num//2))
>
> fig.show()
>
> As a reference, I'm running matplotlib 1.0.0 with python 2.7.0 on a
> 64-bit Linux (kernel 2.6.31) machine.  I can confirm this on python 2.6
> and matplotlib 0.99 as well, though.
>
> If this isn't expected behavior, I'll be glad to open a bug report.

It's a bug.  I think I have it fixed, but I need to do some more 
testing, so I won't commit anything tonight.

Eric


>
> Thanks!
> -Joe
>
>
>
> ------------------------------------------------------------------------------
> This SF.net email is sponsored by
>
> Make an app they can't live without
> Enter the BlackBerry Developer Challenge
> http://p.sf.net/sfu/RIM-dev2dev
>
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Hello,
I have the following code:

---------------------------------------------------------------
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]
y = [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]

point_labels = ['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', 'A=1']

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

ax.plot(x, y, 'go-')
ax.grid(True)

# rotates and right aligns the x labels, and moves the bottom of the
# axes up to make room for them
fig.autofmt_xdate()

# set x and y labels
plt.xticks(range(0, 40, 1))

plt.yticks(range(0, 40, 1))
plt.show()
---------------------------------------------------------------

I would like to label all (x[i],y[i]) points in the plot with 
point_labels[i].

Is it possible to label all points in a plot?

Thank you in advance.