06_analysis_multivariate “ImportError: cannot import name analyze”

[donghui1119]

Summary

It seems to be a problem with "nibabel", because "ImportError: cannot import name analyze" will appear when importing nibabel. But I still have this problem after I delete "nibabel" and reinstall it. I installed "nibabel==2.5.1" in python2.7 on my laptop, and there is no error in "import nibable"

Actual behavior

Expected behavior

How to replicate the behavior

Script/Workflow details

from mvpa2.suite import *

---

ImportError Traceback (most recent call last)
in ()
2 import os
3 from os.path import basename
----> 4 from mvpa2.suite import *

/opt/miniconda-latest/envs/mvpa/lib/python2.7/site-packages/mvpa2/suite.py in ()
225 from mvpa2.misc.plot.base import *
226 from mvpa2.misc.plot.erp import *
--> 227 from mvpa2.misc.plot.scatter import *
228 if externals.exists(['griddata', 'scipy']):
229 from mvpa2.misc.plot.topo import *

/opt/miniconda-latest/envs/mvpa/lib/python2.7/site-packages/mvpa2/misc/plot/scatter.py in ()
14 import sys, os
15 import pylab as pl
---> 16 import nibabel as nb
17 import numpy as np
18

/opt/miniconda-latest/envs/mvpa/lib/python2.7/site-packages/nibabel/init.py in ()
60
61 # module imports
---> 62 from . import analyze as ana
63 from . import spm99analyze as spm99
64 from . import spm2analyze as spm2

ImportError: cannot import name analyze

Please put URL to code or code here (if not too long).

Platform details:

Execution environment

Ubuntu20.04
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• Container [Tag: latest]
• My python environment inside container [Base Tag: latest]

[miykael]

This is a strange error. I'm curious if it's more connected to PyMVPA than nibabel. Unfortunately, PyMVPA hasn't been improved since more than 4-years. At the time that I created fmriflows it was a great tool, but today I would rather recommend to switch to nilearn as it is still very actively developed and can do the same thing, plus much more.

[donghui1119]

Thanks for your anwers, miykael. Yes, fmriflows is convenient and efficient to process data. I have run the previous process smoothly,I am preparing to introduce fmriflows to other students in the laboratory. But I also think that nilearn will be better for MVPA than pyMVPA.

[miykael]

For some tutorials on how to use nilearn, well, there's the nilearn documentation and the nilearn user guide. Additionally, you might find this resource helpful as well - in particular the following notebooks:

• 02b_image_manipulation_nilearn
• 03a_functional_connectivity
• 03b_predicting_age_with_machine_learning
• 05a_machine_learning_preparation
• 05b_machine_learning_nilearn
• 05c_machine_learning_keras

[donghui1119]

Thanks for your sharing and kindness！