Hello,
I have data on a 2d lat lon grid(equal grid spacing) in terms of
laitude and longitude and heights as enclosed in the image. I need the
coordinates(in terms of latitude and longitude) of the contours( as shown
in red in the image). From this answer - https://stackoverflow.com/questions/18304722/python-find-contour-lines-from-matplotlib-pyplot-contour/
will this give me what I am looking for or is there a scaling required to
latitude and longitude that I need to include?
Best regards,
Ashwin.
import numpy as np
def get_contour_verts(cn):
contours = []
# for each contour line
for cc in cn.collections:
paths = []
# for each separate section of the contour line
for pp in cc.get_paths():
xy = []
# for each segment of that section
for vv in pp.iter_segments():
xy.append(vv[0])
paths.append(np.vstack(xy))
contours.append(paths)
If you passed the coordinate arrays in with the call to contourf(), then
you will get what you expect.
I should note that you should watch out for path simplification (you'll
want to turn it off). I also recommend using contourf() over contour()
because it handles the edges of the domain better and NaNs.
Cheers!
Ben Root
···
On Wed, Oct 18, 2017 at 4:59 PM, ashwin .D <winash12 at gmail.com> wrote:
Hello,
I have data on a 2d lat lon grid(equal grid spacing) in terms of
laitude and longitude and heights as enclosed in the image. I need the
coordinates(in terms of latitude and longitude) of the contours( as shown
in red in the image). From this answer - https://stackoverflow.com/
questions/18304722/python-find-contour-lines-from-
matplotlib-pyplot-contour/ will this give me what I am looking for or is
there a scaling required to latitude and longitude that I need to include?
Best regards,
Ashwin.
import numpy as np
def get_contour_verts(cn):
contours =
# for each contour line
for cc in cn.collections:
paths =
# for each separate section of the contour line
for pp in cc.get_paths():
xy =
# for each segment of that section
for vv in pp.iter_segments():
xy.append(vv[0])
paths.append(np.vstack(xy))
contours.append(paths)
return contours
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Ben,
Thanks ! Can you explain a bit more on what you mean by path
simplification ? Here is the code as I see it right now.
Also I had a second question - cs.levels returns the contour levels
associated with the contours. Is there a dictionary that maps a contour
level to the contour coordinates or is cs.collections in the same order as
cs.levels?
import numpy as np
from netCDF4 import Dataset
import matplotlib.pyplot as plt
clevs = np.arange(5300.,5900.,20.)
cs = plt.contourf(lons, lats, np.squeeze(hgt),clevs)
for cc in cs.collections:
paths =
for pp in cc.get_paths():
xy =
for vv in pp.iter_segments():
xy.append(vv[0])
paths.append(np.vstack(xy))
contours.append(paths)
···
On Thu, Oct 19, 2017 at 2:38 AM, Benjamin Root <ben.v.root at gmail.com> wrote:
If you passed the coordinate arrays in with the call to contourf(), then
you will get what you expect.
I should note that you should watch out for path simplification (you'll
want to turn it off). I also recommend using contourf() over contour()
because it handles the edges of the domain better and NaNs.
Cheers!
Ben Root
On Wed, Oct 18, 2017 at 4:59 PM, ashwin .D <winash12 at gmail.com> wrote:
Hello,
I have data on a 2d lat lon grid(equal grid spacing) in terms of
laitude and longitude and heights as enclosed in the image. I need the
coordinates(in terms of latitude and longitude) of the contours( as shown
in red in the image). From this answer - https://stackoverflow.com/ques
tions/18304722/python-find-contour-lines-from-matplotlib-pyplot-contour/
will this give me what I am looking for or is there a scaling required to
latitude and longitude that I need to include?
Best regards,
Ashwin.
import numpy as np
def get_contour_verts(cn):
contours =
# for each contour line
for cc in cn.collections:
paths =
# for each separate section of the contour line
for pp in cc.get_paths():
xy =
# for each segment of that section
for vv in pp.iter_segments():
xy.append(vv[0])
paths.append(np.vstack(xy))
contours.append(paths)
return contours
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Matplotlib-users at python.org Matplotlib-users Info Page
For this problem, though, I don't think contouring is what you want. I
think you'd be better off looking for some spatial consistency in the
gradient field directly rather than going through contours.
Ryan
···
On Wed, Oct 18, 2017 at 2:59 PM, ashwin .D <winash12 at gmail.com> wrote:
Hello,
I have data on a 2d lat lon grid(equal grid spacing) in terms of
laitude and longitude and heights as enclosed in the image. I need the
coordinates(in terms of latitude and longitude) of the contours( as shown
in red in the image). From this answer - https://stackoverflow.com/
questions/18304722/python-find-contour-lines-from-
matplotlib-pyplot-contour/ will this give me what I am looking for or is
there a scaling required to latitude and longitude that I need to include?
Best regards,
Ashwin.
import numpy as np
def get_contour_verts(cn):
contours =
# for each contour line
for cc in cn.collections:
paths =
# for each separate section of the contour line
for pp in cc.get_paths():
xy =
# for each segment of that section
for vv in pp.iter_segments():
xy.append(vv[0])
paths.append(np.vstack(xy))
contours.append(paths)
return contours
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Matplotlib-users mailing list
Matplotlib-users at python.org Matplotlib-users Info Page
Hi Ben,
I believe have a better idea of my doubt and I am just
thinking loudly here - apologies if all of this is irrelevant. Usually when
you have a raster grid you need to define it with respect to a origin. So
since in my case I have a global grid the lower left hand corner is taken
to be the origin. This is usually -90 S, 180 W. But you could also have a
subset of the global grid in which case the lower left corner's latitude
and longitude can be considered as the origin. This is important especially
if you want to know what is grid orientation of the contour with respect
to the origin. I presume I do not need to worry about this with
matplotlib's contourf - am I correct on that or put it differently does it
even matter ?
Looking in the code collections.py under lib/matplotlib I see some
references to rasterizing a grid and affine transformations. I am not sure
whether that is related to any of what I just asked.
Best regards,
Ashwin.
···
On Thu, Oct 19, 2017 at 2:38 AM, Benjamin Root <ben.v.root at gmail.com> wrote:
If you passed the coordinate arrays in with the call to contourf(), then
you will get what you expect.
I should note that you should watch out for path simplification (you'll
want to turn it off). I also recommend using contourf() over contour()
because it handles the edges of the domain better and NaNs.
Cheers!
Ben Root
On Wed, Oct 18, 2017 at 4:59 PM, ashwin .D <winash12 at gmail.com> wrote:
Hello,
I have data on a 2d lat lon grid(equal grid spacing) in terms of
laitude and longitude and heights as enclosed in the image. I need the
coordinates(in terms of latitude and longitude) of the contours( as shown
in red in the image). From this answer - https://stackoverflow.com/ques
tions/18304722/python-find-contour-lines-from-matplotlib-pyplot-contour/
will this give me what I am looking for or is there a scaling required to
latitude and longitude that I need to include?
Best regards,
Ashwin.
import numpy as np
def get_contour_verts(cn):
contours =
# for each contour line
for cc in cn.collections:
paths =
# for each separate section of the contour line
for pp in cc.get_paths():
xy =
# for each segment of that section
for vv in pp.iter_segments():
xy.append(vv[0])
paths.append(np.vstack(xy))
contours.append(paths)
return contours
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Matplotlib-users mailing list
Matplotlib-users at python.org Matplotlib-users Info Page
