help with matplotlib.path class

Community matplotlib-users
1

Thanks,

Being a novice, I am trying the first thing in the example gallery
that caught my eye. Vlines does seem to be a better option. But what's
puzzling me is why do I get just a plot of the axes with the following
code? Where are the vertical lines that I am looking for?

from matplotlib import path
from matplotlib import patches
from matplotlib import pyplot as plt

codes = (1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2)
vertices = ((39525.540000000001, 144.91), (39525.540000000001,
161.352),
(39874.5, 149.5), (39874.5, 166.142), (40205.0, 150.41),
(40205.0,
167.05199999999999), (40518.449999999997, 149.36000000000001),
(40518.449999999997, 166.00200000000001), (40828.0,
148.50999999999999), (40828.0, 165.15199999999999),
(41173.239999999998, 151.16), (41173.239999999998, 167.602),
(41510.0,
150.09), (41510.0, 166.732), (41858.0, 146.25), (41858.0,
162.892),
(42158.0, 152.63999999999999), (42158.0, 169.28199999999998),
(42486.889999999999, 155.22999999999999), (42486.889999999999,
171.672))

patch = patches.PathPatch(path.Path(vertices, codes))
plt.gca().add_patch(patch)
plt.show()

If your first tuple is "codes", and second is "vertices",

You can do:

from matplotlib import path
from matplotlib import patches
from matplotlib import pyplot as plt

patch = patches.PathPatch(path.Path(vertices, codes))
plt.gca().add_patch(patch)
plt.show()

However... rather than going through all that, have you considered

using vlines? That will save you the trouble of generating all the
data in that format yourself.

http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pypl

ot.vlines

Cheers,
Mike

Amitava Maity wrote:

  Hello list,

I have generated the following tuples:

(1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2)
((39525.540000000001, 144.91), (39525.540000000001, 161.352),
(39874.5, 149.5), (39874.5, 166.142), (40205.0, 150.41), (40205.0,
167.05199999999999), (40518.449999999997, 149.36000000000001),
(40518.449999999997, 166.00200000000001), (40828.0,
148.50999999999999), (40828.0, 165.15199999999999),
(41173.239999999998, 151.16), (41173.239999999998, 167.602),

(41510.0,

···

On Thu, 30 Oct 2008 Michael Droettboom wrote :

150.09), (41510.0, 166.732), (41858.0, 146.25), (41858.0, 162.892),
(42158.0, 152.63999999999999), (42158.0, 169.28199999999998),
(42486.889999999999, 155.22999999999999), (42486.889999999999,
171.672))

How do I use the Matplotlib.path class to draw a set of disconnected
vertical lines?

Thanks in advance,
AMaity.

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-- Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

2

The limits don't get automatically adjusted when using add_patch().

You could do something like:

plt.gca().set_xlim(min([x for x, y in vertices]), max([x for x, y in vertices]))
plt.gca().set_ylim(min([y for x, y in vertices]), max([y for x, y in vertices]))

Again, vlines will do all this for you.

Mike

Amitava Maity wrote:

···

Thanks,

Being a novice, I am trying the first thing in the example gallery
that caught my eye. Vlines does seem to be a better option. But what's
puzzling me is why do I get just a plot of the axes with the following
code? Where are the vertical lines that I am looking for?

from matplotlib import path
from matplotlib import patches
from matplotlib import pyplot as plt

codes = (1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2)
vertices = ((39525.540000000001, 144.91), (39525.540000000001,
161.352),
(39874.5, 149.5), (39874.5, 166.142), (40205.0, 150.41),
(40205.0,
167.05199999999999), (40518.449999999997, 149.36000000000001),
(40518.449999999997, 166.00200000000001), (40828.0,
148.50999999999999), (40828.0, 165.15199999999999),
(41173.239999999998, 151.16), (41173.239999999998, 167.602),
(41510.0,
150.09), (41510.0, 166.732), (41858.0, 146.25), (41858.0,
162.892),
(42158.0, 152.63999999999999), (42158.0, 169.28199999999998),
(42486.889999999999, 155.22999999999999), (42486.889999999999,
171.672))

patch = patches.PathPatch(path.Path(vertices, codes))
plt.gca().add_patch(patch)
plt.show()

On Thu, 30 Oct 2008 Michael Droettboom wrote :
  

If your first tuple is "codes", and second is "vertices",

You can do:

from matplotlib import path
from matplotlib import patches
from matplotlib import pyplot as plt

patch = patches.PathPatch(path.Path(vertices, codes))
plt.gca().add_patch(patch)
plt.show()

However... rather than going through all that, have you considered
    

using vlines? That will save you the trouble of generating all the
data in that format yourself.
  

http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pypl
    

ot.vlines
  

Cheers,
Mike

Amitava Maity wrote:
    

  Hello list,

I have generated the following tuples:

(1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2)
((39525.540000000001, 144.91), (39525.540000000001, 161.352),
(39874.5, 149.5), (39874.5, 166.142), (40205.0, 150.41), (40205.0,
167.05199999999999), (40518.449999999997, 149.36000000000001),
(40518.449999999997, 166.00200000000001), (40828.0,
148.50999999999999), (40828.0, 165.15199999999999),
(41173.239999999998, 151.16), (41173.239999999998, 167.602),
      

(41510.0,
  

150.09), (41510.0, 166.732), (41858.0, 146.25), (41858.0, 162.892),
(42158.0, 152.63999999999999), (42158.0, 169.28199999999998),
(42486.889999999999, 155.22999999999999), (42486.889999999999,
171.672))

How do I use the Matplotlib.path class to draw a set of disconnected
vertical lines?

Thanks in advance,
AMaity.

--------------------------------------------------------------------
      

-----
  

This SF.Net email is sponsored by the Moblin Your Move Developer's
      

challenge
  

Build the coolest Linux based applications with Moblin SDK & win
      

great prizes
  

Grand prize is a trip for two to an Open Source event anywhere in
      

the world
  

http://moblin-contest.org/redirect.php?banner_id=100&url=/
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
matplotlib-users List Signup and Options

-- Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

-------------------------------------------------------------------------
This SF.Net email is sponsored by the Moblin Your Move Developer's challenge
Build the coolest Linux based applications with Moblin SDK & win great prizes
Grand prize is a trip for two to an Open Source event anywhere in the world
http://moblin-contest.org/redirect.php?banner_id=100&url=/
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
matplotlib-users List Signup and Options
  
--
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA