Contour from a list of {lat,long,values}
0
I need to create a contour using python. The problem is that all the solutions I have found so far are mesh based which require 3 arrays:
lats array
long array
values array
then they use mesh to make the contour.
The problem in my case is that every single value has a different lat and long and it's more like the following array
[{lat,long,values},{lat,long,values},{lat,long,values},{lat,long,values}]
I appreciate any solution or recommendation
the original values are like this. 3 2D arrays
Values :
[[[2.3000e-01 2.2250e-01 2.3500e-01 ... 5.0000e-03 1.2500e-02 1.2500e-02]
[2.3250e-01 2.2500e-01 2.3000e-01 ... 7.5000e-03 1.2500e-02 1.2500e-02]
[2.4500e-01 2.3000e-01 2.2250e-01 ... 7.5000e-03 1.2500e-02 1.2500e-02]
...
[1.1979e+02 1.1979e+02 1.1979e+02 ... 6.9500e-01 7.0000e-01 7.0500e-01]
[1.1979e+02 1.1979e+02 1.1979e+02 ... 6.9500e-01 7.0000e-01 7.0500e-01]
[1.1979e+02 1.1979e+02 1.1979e+02 ... 6.9500e-01 7.0000e-01 7.0500e-01]]]
Lats:
[[18.14503 18.17840149 18.21173404 ... 20.95232678 20.92303157
20.89368282]
[18.19869826 18.23212537 18.26551351 ... 21.01085369 20.98150583
20.95210438]
[18.25238237 18.28586518 18.31930902 ... 21.06940562 21.04000501
21.01055075]
...
[47.37108253 47.45317877 47.53531405 ... 54.84178113 54.75671371
54.67167336]
[47.35484472 47.43689746 47.51898908 ... 54.82084335 54.73583959
54.65086259]
[47.33843536 47.42044418 47.5024917 ... 54.79968906 54.71474955
54.62983649]]
longs:
[[217.107456 217.16395904 217.22053137 ... 275.5738218 275.63644491
275.69899943]
[217.07228304 217.12882027 217.18542696 ... 275.60519679 275.66787119
275.73047681]
[217.03704065 217.09361204 217.15025307 ... 275.63664054 275.69936627
275.762023 ]
...
[147.8669735 147.84307356 147.81907208 ... 352.75647981 352.72040049
352.68450633]
[147.74583254 147.72168602 147.697437 ... 352.90413813 352.86770214
352.8314529 ]
[147.62479343 147.60040096 147.57590506 ... 353.05160828 353.01481704
352.97821413]]
I extracted this values from a netcdf file
python mesh contour netcdf4
asked Nov 26 '18 at 16:16
sun1987sun1987
59111
add a comment |
0
I need to create a contour using python. The problem is that all the solutions I have found so far are mesh based which require 3 arrays:
lats array
long array
values array
then they use mesh to make the contour.
The problem in my case is that every single value has a different lat and long and it's more like the following array
[{lat,long,values},{lat,long,values},{lat,long,values},{lat,long,values}]
I appreciate any solution or recommendation
the original values are like this. 3 2D arrays
Values :
[[[2.3000e-01 2.2250e-01 2.3500e-01 ... 5.0000e-03 1.2500e-02 1.2500e-02]
[2.3250e-01 2.2500e-01 2.3000e-01 ... 7.5000e-03 1.2500e-02 1.2500e-02]
[2.4500e-01 2.3000e-01 2.2250e-01 ... 7.5000e-03 1.2500e-02 1.2500e-02]
...
[1.1979e+02 1.1979e+02 1.1979e+02 ... 6.9500e-01 7.0000e-01 7.0500e-01]
[1.1979e+02 1.1979e+02 1.1979e+02 ... 6.9500e-01 7.0000e-01 7.0500e-01]
[1.1979e+02 1.1979e+02 1.1979e+02 ... 6.9500e-01 7.0000e-01 7.0500e-01]]]
Lats:
[[18.14503 18.17840149 18.21173404 ... 20.95232678 20.92303157
20.89368282]
[18.19869826 18.23212537 18.26551351 ... 21.01085369 20.98150583
20.95210438]
[18.25238237 18.28586518 18.31930902 ... 21.06940562 21.04000501
21.01055075]
...
[47.37108253 47.45317877 47.53531405 ... 54.84178113 54.75671371
54.67167336]
[47.35484472 47.43689746 47.51898908 ... 54.82084335 54.73583959
54.65086259]
[47.33843536 47.42044418 47.5024917 ... 54.79968906 54.71474955
54.62983649]]
longs:
[[217.107456 217.16395904 217.22053137 ... 275.5738218 275.63644491
275.69899943]
[217.07228304 217.12882027 217.18542696 ... 275.60519679 275.66787119
275.73047681]
[217.03704065 217.09361204 217.15025307 ... 275.63664054 275.69936627
275.762023 ]
...
[147.8669735 147.84307356 147.81907208 ... 352.75647981 352.72040049
352.68450633]
[147.74583254 147.72168602 147.697437 ... 352.90413813 352.86770214
352.8314529 ]
[147.62479343 147.60040096 147.57590506 ... 353.05160828 353.01481704
352.97821413]]
I extracted this values from a netcdf file
python mesh contour netcdf4
asked Nov 26 '18 at 16:16
sun1987sun1987
59111
Please add some example input and expected output.
– Benjámin Budai
Nov 26 '18 at 16:49
I would look into interpolating your points onto a regular 2D grid, for example usingscipy.interpolate.griddata
– xnx
Nov 26 '18 at 18:21
@xnx Thanks for your response. I thought about interpolation. but I don't want to scrifice the accuracy of values as far as it is possible. Do you know any other solution?
– sun1987
Nov 26 '18 at 19:01
1
@sun1987 a contour joins latitude and longitude points with the same value. So unless your data contains the coordinates of points with contour values points you want to indicate, I don't see how you can do what you want without interpolation of some kind.
– xnx
Nov 27 '18 at 7:43
Thans right. thank you @xnx
– sun1987
Nov 27 '18 at 16:02
add a comment |
0
0
0
I need to create a contour using python. The problem is that all the solutions I have found so far are mesh based which require 3 arrays:
lats array
long array
values array
then they use mesh to make the contour.
The problem in my case is that every single value has a different lat and long and it's more like the following array
[{lat,long,values},{lat,long,values},{lat,long,values},{lat,long,values}]
I appreciate any solution or recommendation
the original values are like this. 3 2D arrays
Values :
[[[2.3000e-01 2.2250e-01 2.3500e-01 ... 5.0000e-03 1.2500e-02 1.2500e-02]
[2.3250e-01 2.2500e-01 2.3000e-01 ... 7.5000e-03 1.2500e-02 1.2500e-02]
[2.4500e-01 2.3000e-01 2.2250e-01 ... 7.5000e-03 1.2500e-02 1.2500e-02]
...
[1.1979e+02 1.1979e+02 1.1979e+02 ... 6.9500e-01 7.0000e-01 7.0500e-01]
[1.1979e+02 1.1979e+02 1.1979e+02 ... 6.9500e-01 7.0000e-01 7.0500e-01]
[1.1979e+02 1.1979e+02 1.1979e+02 ... 6.9500e-01 7.0000e-01 7.0500e-01]]]
Lats:
[[18.14503 18.17840149 18.21173404 ... 20.95232678 20.92303157
20.89368282]
[18.19869826 18.23212537 18.26551351 ... 21.01085369 20.98150583
20.95210438]
[18.25238237 18.28586518 18.31930902 ... 21.06940562 21.04000501
21.01055075]
...
[47.37108253 47.45317877 47.53531405 ... 54.84178113 54.75671371
54.67167336]
[47.35484472 47.43689746 47.51898908 ... 54.82084335 54.73583959
54.65086259]
[47.33843536 47.42044418 47.5024917 ... 54.79968906 54.71474955
54.62983649]]
longs:
[[217.107456 217.16395904 217.22053137 ... 275.5738218 275.63644491
275.69899943]
[217.07228304 217.12882027 217.18542696 ... 275.60519679 275.66787119
275.73047681]
[217.03704065 217.09361204 217.15025307 ... 275.63664054 275.69936627
275.762023 ]
...
[147.8669735 147.84307356 147.81907208 ... 352.75647981 352.72040049
352.68450633]
[147.74583254 147.72168602 147.697437 ... 352.90413813 352.86770214
352.8314529 ]
[147.62479343 147.60040096 147.57590506 ... 353.05160828 353.01481704
352.97821413]]
I extracted this values from a netcdf file
python mesh contour netcdf4
asked Nov 26 '18 at 16:16
sun1987sun1987
59111
I need to create a contour using python. The problem is that all the solutions I have found so far are mesh based which require 3 arrays:
lats array
long array
values array
then they use mesh to make the contour.
The problem in my case is that every single value has a different lat and long and it's more like the following array
[{lat,long,values},{lat,long,values},{lat,long,values},{lat,long,values}]
I appreciate any solution or recommendation
the original values are like this. 3 2D arrays
Values :
[[[2.3000e-01 2.2250e-01 2.3500e-01 ... 5.0000e-03 1.2500e-02 1.2500e-02]
[2.3250e-01 2.2500e-01 2.3000e-01 ... 7.5000e-03 1.2500e-02 1.2500e-02]
[2.4500e-01 2.3000e-01 2.2250e-01 ... 7.5000e-03 1.2500e-02 1.2500e-02]
...
[1.1979e+02 1.1979e+02 1.1979e+02 ... 6.9500e-01 7.0000e-01 7.0500e-01]
[1.1979e+02 1.1979e+02 1.1979e+02 ... 6.9500e-01 7.0000e-01 7.0500e-01]
[1.1979e+02 1.1979e+02 1.1979e+02 ... 6.9500e-01 7.0000e-01 7.0500e-01]]]
Lats:
[[18.14503 18.17840149 18.21173404 ... 20.95232678 20.92303157
20.89368282]
[18.19869826 18.23212537 18.26551351 ... 21.01085369 20.98150583
20.95210438]
[18.25238237 18.28586518 18.31930902 ... 21.06940562 21.04000501
21.01055075]
...
[47.37108253 47.45317877 47.53531405 ... 54.84178113 54.75671371
54.67167336]
[47.35484472 47.43689746 47.51898908 ... 54.82084335 54.73583959
54.65086259]
[47.33843536 47.42044418 47.5024917 ... 54.79968906 54.71474955
54.62983649]]
longs:
[[217.107456 217.16395904 217.22053137 ... 275.5738218 275.63644491
275.69899943]
[217.07228304 217.12882027 217.18542696 ... 275.60519679 275.66787119
275.73047681]
[217.03704065 217.09361204 217.15025307 ... 275.63664054 275.69936627
275.762023 ]
...
[147.8669735 147.84307356 147.81907208 ... 352.75647981 352.72040049
352.68450633]
[147.74583254 147.72168602 147.697437 ... 352.90413813 352.86770214
352.8314529 ]
[147.62479343 147.60040096 147.57590506 ... 353.05160828 353.01481704
352.97821413]]
I extracted this values from a netcdf file
python mesh contour netcdf4
python mesh contour netcdf4
asked Nov 26 '18 at 16:16
sun1987sun1987
59111
asked Nov 26 '18 at 16:16
sun1987sun1987
59111
edited Nov 26 '18 at 18:16
sun1987
asked Nov 26 '18 at 16:16
sun1987sun1987
59111
asked Nov 26 '18 at 16:16
sun1987sun1987
59111
asked Nov 26 '18 at 16:16
sun1987sun1987
59111
59111
Please add some example input and expected output.
– Benjámin Budai
Nov 26 '18 at 16:49
I would look into interpolating your points onto a regular 2D grid, for example usingscipy.interpolate.griddata
– xnx
Nov 26 '18 at 18:21
@xnx Thanks for your response. I thought about interpolation. but I don't want to scrifice the accuracy of values as far as it is possible. Do you know any other solution?
– sun1987
Nov 26 '18 at 19:01
1
@sun1987 a contour joins latitude and longitude points with the same value. So unless your data contains the coordinates of points with contour values points you want to indicate, I don't see how you can do what you want without interpolation of some kind.
– xnx
Nov 27 '18 at 7:43
Thans right. thank you @xnx
– sun1987
Nov 27 '18 at 16:02
add a comment |
Please add some example input and expected output.
– Benjámin Budai
Nov 26 '18 at 16:49
I would look into interpolating your points onto a regular 2D grid, for example usingscipy.interpolate.griddata
– xnx
Nov 26 '18 at 18:21
@xnx Thanks for your response. I thought about interpolation. but I don't want to scrifice the accuracy of values as far as it is possible. Do you know any other solution?
– sun1987
Nov 26 '18 at 19:01
1
@sun1987 a contour joins latitude and longitude points with the same value. So unless your data contains the coordinates of points with contour values points you want to indicate, I don't see how you can do what you want without interpolation of some kind.
– xnx
Nov 27 '18 at 7:43
Thans right. thank you @xnx
– sun1987
Nov 27 '18 at 16:02
Please add some example input and expected output.
– Benjámin Budai
Nov 26 '18 at 16:49
Please add some example input and expected output.
– Benjámin Budai
Nov 26 '18 at 16:49
I would look into interpolating your points onto a regular 2D grid, for example using
scipy.interpolate.griddata– xnx
Nov 26 '18 at 18:21
I would look into interpolating your points onto a regular 2D grid, for example using
scipy.interpolate.griddata– xnx
Nov 26 '18 at 18:21
@xnx Thanks for your response. I thought about interpolation. but I don't want to scrifice the accuracy of values as far as it is possible. Do you know any other solution?
– sun1987
Nov 26 '18 at 19:01
@xnx Thanks for your response. I thought about interpolation. but I don't want to scrifice the accuracy of values as far as it is possible. Do you know any other solution?
– sun1987
Nov 26 '18 at 19:01
1
1
@sun1987 a contour joins latitude and longitude points with the same value. So unless your data contains the coordinates of points with contour values points you want to indicate, I don't see how you can do what you want without interpolation of some kind.
– xnx
Nov 27 '18 at 7:43
@sun1987 a contour joins latitude and longitude points with the same value. So unless your data contains the coordinates of points with contour values points you want to indicate, I don't see how you can do what you want without interpolation of some kind.
– xnx
Nov 27 '18 at 7:43
Thans right. thank you @xnx
– sun1987
Nov 27 '18 at 16:02
Thans right. thank you @xnx
– sun1987
Nov 27 '18 at 16:02
add a comment |
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Please add some example input and expected output.
– Benjámin Budai
Nov 26 '18 at 16:49
I would look into interpolating your points onto a regular 2D grid, for example using
scipy.interpolate.griddata– xnx
Nov 26 '18 at 18:21
@xnx Thanks for your response. I thought about interpolation. but I don't want to scrifice the accuracy of values as far as it is possible. Do you know any other solution?
– sun1987
Nov 26 '18 at 19:01
1
@sun1987 a contour joins latitude and longitude points with the same value. So unless your data contains the coordinates of points with contour values points you want to indicate, I don't see how you can do what you want without interpolation of some kind.
– xnx
Nov 27 '18 at 7:43
Thans right. thank you @xnx
– sun1987
Nov 27 '18 at 16:02