On 2023-11-09 17:30, Vahid Askarpour wrote:
Dear Wannier90 community,
I am using Wannier90/3.1.0 to plot a slice of my data. The postw90.x
creates the necessary python code but I get the following error when
running this python script:
File
"/gpfs/scratch/vaskarpo/Mn3Ge_hex/kslice/wannier90-kslice-curv_x+fermi_lines.py",
line 64, in <module>
valint = ml.griddata(points_x,points_y, val_log, xint,yint)
AttributeError: module 'matplotlib.mlab' has no attribute ‘griddata'
Does any one know how to remedy this? I tried replacing the ml.griddata
with scipy.interpolate.griddata but then I get the following error:
File
"/gpfs/scratch/vaskarpo/Mn3Ge_hex/kslice/wannier90-kslice-curv_x+fermi_lines.py",
line 64, in <module>
valint = interpolate.griddata(points_x,points_y, val_log, grid_x,
grid_y)
File
"/cvmfs/soft.computecanada.ca/easybuild/software/2020/avx512/Core/scipy-stack/2023b/lib/python3.10/site-packages/scipy/interpolate/_ndgriddata.py",
line 253, in griddata
if ndim == 1 and method in ('nearest', 'linear', 'cubic'):
ValueError: The truth value of an array with more than one element is
ambiguous. Use a.any() or a.all()
I am attaching the python script.
Any suggestion is appreciated.
Thanks,
Vahid
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Hello,
I encountered a similar issue a while back and was able to tackle it by
commenting out the line "valint = ml.griddata(points_x,points_y,
val_log, xint,yint)" and replacing it with "valint =
interpolate.griddata((points_x,points_y), val_log, (grid_x, grid_y),
method='nearest') # or 'cubic' or 'nearest', as requiredS". Hope it
helps.
Regards,
Bhargab Kakati,
Research Scholar,
Computational Materials Science lab,
Institute of Advanced Study in Science and Technology,
Guwahati-781035, Assam, India
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