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Irregular spacing pcolor plot in python
Calling an external command in PythonWhat are metaclasses in Python?Finding the index of an item given a list containing it in PythonWhat is the difference between Python's list methods append and extend?How can I safely create a nested directory?Does Python have a ternary conditional operator?How to get the current time in PythonHow to print without newline or space?How can I make a time delay in Python?Does Python have a string 'contains' substring method?
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;
The following python code works:
import numpy as np
import matplotlib.pyplot as P
from matplotlib.colors import LogNorm
# A is a matrix of dimension [101,1000]
X, Y = np.mgrid[0:100:100.0/101, -5:20:25.0/1000]
P.pcolor(X, Y, A, norm=LogNorm(vmin=np.min(A), vmax=np.max(A)), cmap='PuBu_r')
P.colorbar()
However what I would like is to plot the same colorplot data but with a different X axis. I would like the first 50 points in X to be between 0 and 50 and the last 51 points to be between 50 and 150 (non regular grid). The actual A matrix is on that grid 0-150 and not on the 0-100 grid that I currently plot.
I tried to interpolate the data with griddata but was unsuccessful. Any suggestions for an elegant way to do this ?
Thanks a lot,
Sam
python matplotlib interpolation
asked Mar 25 at 23:09
sponcesponce
4051 gold badge4 silver badges14 bronze badges
add a comment |
The following python code works:
import numpy as np
import matplotlib.pyplot as P
from matplotlib.colors import LogNorm
# A is a matrix of dimension [101,1000]
X, Y = np.mgrid[0:100:100.0/101, -5:20:25.0/1000]
P.pcolor(X, Y, A, norm=LogNorm(vmin=np.min(A), vmax=np.max(A)), cmap='PuBu_r')
P.colorbar()
However what I would like is to plot the same colorplot data but with a different X axis. I would like the first 50 points in X to be between 0 and 50 and the last 51 points to be between 50 and 150 (non regular grid). The actual A matrix is on that grid 0-150 and not on the 0-100 grid that I currently plot.
I tried to interpolate the data with griddata but was unsuccessful. Any suggestions for an elegant way to do this ?
Thanks a lot,
Sam
python matplotlib interpolation
asked Mar 25 at 23:09
sponcesponce
4051 gold badge4 silver badges14 bronze badges
1
Check e.g.X, Y = np.meshgrid([1,5,12,30,50], [1,2,3,4,5])and adapt it too your needs.
– ImportanceOfBeingErnest
Mar 26 at 0:04
Thanks for the answer. It works but you need to do X.T and Y.T because meshgrid return the transpose of what you get with mgrid.
– sponce
Mar 26 at 0:18
Not really, it's rather thatX,Y = meshgrid(x,y), so you need to mind the order of arguments.
– ImportanceOfBeingErnest
Mar 26 at 0:38
Check this website louistiao.me/posts/numpy-mgrid-vs-meshgrid seems it returns the transpose of the other.
– sponce
Mar 27 at 9:15
add a comment |
The following python code works:
import numpy as np
import matplotlib.pyplot as P
from matplotlib.colors import LogNorm
# A is a matrix of dimension [101,1000]
X, Y = np.mgrid[0:100:100.0/101, -5:20:25.0/1000]
P.pcolor(X, Y, A, norm=LogNorm(vmin=np.min(A), vmax=np.max(A)), cmap='PuBu_r')
P.colorbar()
However what I would like is to plot the same colorplot data but with a different X axis. I would like the first 50 points in X to be between 0 and 50 and the last 51 points to be between 50 and 150 (non regular grid). The actual A matrix is on that grid 0-150 and not on the 0-100 grid that I currently plot.
I tried to interpolate the data with griddata but was unsuccessful. Any suggestions for an elegant way to do this ?
Thanks a lot,
Sam
python matplotlib interpolation
asked Mar 25 at 23:09
sponcesponce
4051 gold badge4 silver badges14 bronze badges
The following python code works:
import numpy as np
import matplotlib.pyplot as P
from matplotlib.colors import LogNorm
# A is a matrix of dimension [101,1000]
X, Y = np.mgrid[0:100:100.0/101, -5:20:25.0/1000]
P.pcolor(X, Y, A, norm=LogNorm(vmin=np.min(A), vmax=np.max(A)), cmap='PuBu_r')
P.colorbar()
However what I would like is to plot the same colorplot data but with a different X axis. I would like the first 50 points in X to be between 0 and 50 and the last 51 points to be between 50 and 150 (non regular grid). The actual A matrix is on that grid 0-150 and not on the 0-100 grid that I currently plot.
I tried to interpolate the data with griddata but was unsuccessful. Any suggestions for an elegant way to do this ?
Thanks a lot,
Sam
python matplotlib interpolation
python matplotlib interpolation
asked Mar 25 at 23:09
sponcesponce
4051 gold badge4 silver badges14 bronze badges
asked Mar 25 at 23:09
sponcesponce
4051 gold badge4 silver badges14 bronze badges
asked Mar 25 at 23:09
sponcesponce
4051 gold badge4 silver badges14 bronze badges
asked Mar 25 at 23:09
sponcesponce
4051 gold badge4 silver badges14 bronze badges
asked Mar 25 at 23:09
sponcesponce
4051 gold badge4 silver badges14 bronze badges
4051 gold badge4 silver badges14 bronze badges
1
Check e.g.X, Y = np.meshgrid([1,5,12,30,50], [1,2,3,4,5])and adapt it too your needs.
– ImportanceOfBeingErnest
Mar 26 at 0:04
Thanks for the answer. It works but you need to do X.T and Y.T because meshgrid return the transpose of what you get with mgrid.
– sponce
Mar 26 at 0:18
Not really, it's rather thatX,Y = meshgrid(x,y), so you need to mind the order of arguments.
– ImportanceOfBeingErnest
Mar 26 at 0:38
Check this website louistiao.me/posts/numpy-mgrid-vs-meshgrid seems it returns the transpose of the other.
– sponce
Mar 27 at 9:15
add a comment |
1
Check e.g.X, Y = np.meshgrid([1,5,12,30,50], [1,2,3,4,5])and adapt it too your needs.
– ImportanceOfBeingErnest
Mar 26 at 0:04
Thanks for the answer. It works but you need to do X.T and Y.T because meshgrid return the transpose of what you get with mgrid.
– sponce
Mar 26 at 0:18
Not really, it's rather thatX,Y = meshgrid(x,y), so you need to mind the order of arguments.
– ImportanceOfBeingErnest
Mar 26 at 0:38
Check this website louistiao.me/posts/numpy-mgrid-vs-meshgrid seems it returns the transpose of the other.
– sponce
Mar 27 at 9:15
1
1
Check e.g.
X, Y = np.meshgrid([1,5,12,30,50], [1,2,3,4,5]) and adapt it too your needs.– ImportanceOfBeingErnest
Mar 26 at 0:04
Check e.g.
X, Y = np.meshgrid([1,5,12,30,50], [1,2,3,4,5]) and adapt it too your needs.– ImportanceOfBeingErnest
Mar 26 at 0:04
Thanks for the answer. It works but you need to do X.T and Y.T because meshgrid return the transpose of what you get with mgrid.
– sponce
Mar 26 at 0:18
Thanks for the answer. It works but you need to do X.T and Y.T because meshgrid return the transpose of what you get with mgrid.
– sponce
Mar 26 at 0:18
Not really, it's rather that
X,Y = meshgrid(x,y), so you need to mind the order of arguments.– ImportanceOfBeingErnest
Mar 26 at 0:38
Not really, it's rather that
X,Y = meshgrid(x,y), so you need to mind the order of arguments.– ImportanceOfBeingErnest
Mar 26 at 0:38
Check this website louistiao.me/posts/numpy-mgrid-vs-meshgrid seems it returns the transpose of the other.
– sponce
Mar 27 at 9:15
Check this website louistiao.me/posts/numpy-mgrid-vs-meshgrid seems it returns the transpose of the other.
– sponce
Mar 27 at 9:15
add a comment |
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Check e.g.
X, Y = np.meshgrid([1,5,12,30,50], [1,2,3,4,5])and adapt it too your needs.– ImportanceOfBeingErnest
Mar 26 at 0:04
Thanks for the answer. It works but you need to do X.T and Y.T because meshgrid return the transpose of what you get with mgrid.
– sponce
Mar 26 at 0:18
Not really, it's rather that
X,Y = meshgrid(x,y), so you need to mind the order of arguments.– ImportanceOfBeingErnest
Mar 26 at 0:38
Check this website louistiao.me/posts/numpy-mgrid-vs-meshgrid seems it returns the transpose of the other.
– sponce
Mar 27 at 9:15