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We have been trying to run qsiprep on an example. We used the following steps. Currently I am not to share the exact dataset publicly but would appreciate any insights or hypotheses based on the error message. I can share the example dataset on a one-on-one basis but just not post it here publicly.
It gives the message pasted below. Could you kindly look into this and guide us on how we could resolve this?
Thank you so much for your kind consideration and help.
Sincerely,
Nagesh
250312-02:02:05,925 nipype.workflow IMPORTANT:
Running QSIPrep version 1.0.0rc2.dev0+g789be41.d20241119
License NOTICE ##################################################
QSIPrep 1.0.0rc2.dev0+g789be41.d20241119
Copyright The PennLINC Developers.
This product includes software developed by
the NiPreps Community (https://nipreps.org/).
Portions of this software were developed at the Department of
Psychology at Stanford University, Stanford, CA, US.
This software is also distributed as a Docker container image.
The bootstrapping file for the image ("Dockerfile") is licensed
under the MIT License.
This software may be distributed through an add-on package called
"Docker Wrapper" that is under the BSD 3-clause License.
#################################################################
250312-02:02:05,937 nipype.workflow IMPORTANT:
Building QSIPrep's workflow:
* BIDS dataset path: /input.
* Participant list: ['0003x203004544'].
* Run identifier: 20250312-020154_0b5ed76f-a9fb-4b53-8c3b-5a9d0f770bac.
250312-02:02:05,988 nipype.workflow INFO:
No anatomical scans will be processed! Visual reports will show template masks.
250312-02:02:05,996 nipype.workflow INFO:
Combining all DWI files within each available session and acquisition:
250312-02:02:05,997 nipype.workflow INFO:
- 2 scans in session 0001x2017x03x02/acquisition AxialxDTI
250312-02:02:06,14 nipype.workflow INFO:
[{'dwi_series': ['/input/sub-0003x203004544/ses-0001x2017x03x02/dwi/sub-0003x203004544_ses-0001x2017x03x02_acq-AxialxDTI_dir-AP_dwi.nii.gz'], 'fieldmap_info': {'suffix': None}, 'dwi_series_pedir': '', 'concatenated_bids_name': 'sub-0003x203004544_ses-0001x2017x03x02_acq-AxialxDTI_dir-AP'}, {'dwi_series': ['/input/sub-0003x203004544/ses-0001x2017x03x02/dwi/sub-0003x203004544_ses-0001x2017x03x02_acq-AxialxDTI_dir-PA_dwi.nii.gz'], 'fieldmap_info': {'suffix': None}, 'dwi_series_pedir': '', 'concatenated_bids_name': 'sub-0003x203004544_ses-0001x2017x03x02_acq-AxialxDTI_dir-PA'}]
Process Process-2:
Traceback (most recent call last):
File "/opt/conda/envs/qsiprep/lib/python3.10/multiprocessing/process.py", line 314, in _bootstrap
self.run()
File "/opt/conda/envs/qsiprep/lib/python3.10/multiprocessing/process.py", line 108, in run
self._target(*self._args, **self._kwargs)
File "/opt/conda/envs/qsiprep/lib/python3.10/site-packages/qsiprep/cli/workflow.py", line 117, in build_workflow
retval["workflow"] = init_qsiprep_wf()
File "/opt/conda/envs/qsiprep/lib/python3.10/site-packages/qsiprep/workflows/base.py", line 83, in init_qsiprep_wf
single_subject_wf = init_single_subject_wf(subject_id, session_ids)
File "/opt/conda/envs/qsiprep/lib/python3.10/site-packages/qsiprep/workflows/base.py", line 401, in init_single_subject_wf
dwi_preproc_wf = init_dwi_preproc_wf(
File "/opt/conda/envs/qsiprep/lib/python3.10/site-packages/qsiprep/workflows/dwi/base.py", line 247, in init_dwi_preproc_wf
pre_hmc_wf = init_dwi_pre_hmc_wf(
File "/opt/conda/envs/qsiprep/lib/python3.10/site-packages/qsiprep/workflows/dwi/pre_hmc.py", line 238, in init_dwi_pre_hmc_wf
merge_dwis = init_merge_and_denoise_wf(
File "/opt/conda/envs/qsiprep/lib/python3.10/site-packages/qsiprep/workflows/dwi/merge.py", line 151, in init_merge_and_denoise_wf
dwi_df = get_acq_parameters_df(raw_dwi_files, layout=layout)
File "/opt/conda/envs/qsiprep/lib/python3.10/site-packages/qsiprep/workflows/dwi/merge.py", line 707, in get_acq_parameters_df
].str.replace("-", "")
File "/opt/conda/envs/qsiprep/lib/python3.10/site-packages/pandas/core/generic.py", line 5902, in __getattr__
return object.__getattribute__(self, name)
File "/opt/conda/envs/qsiprep/lib/python3.10/site-packages/pandas/core/accessor.py", line 182, in __get__
accessor_obj = self._accessor(obj)
File "/opt/conda/envs/qsiprep/lib/python3.10/site-packages/pandas/core/strings/accessor.py", line 181, in __init__
self._inferred_dtype = self._validate(data)
File "/opt/conda/envs/qsiprep/lib/python3.10/site-packages/pandas/core/strings/accessor.py", line 235, in _validate
raise AttributeError("Can only use .str accessor with string values!")
AttributeError: Can only use .str accessor with string values!. Did you mean: 'std'?
exit status 1
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Dear qsiprep team,
We have been trying to run qsiprep on an example. We used the following steps. Currently I am not to share the exact dataset publicly but would appreciate any insights or hypotheses based on the error message. I can share the example dataset on a one-on-one basis but just not post it here publicly.
mkdir -p example_derivatives_qsiprep
It gives the message pasted below. Could you kindly look into this and guide us on how we could resolve this?
Thank you so much for your kind consideration and help.
Sincerely,
Nagesh
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