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Append ROI data #409
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Thanks for reporting @aurquieta - seems like a bug that we should fix. I tried the code on some test projects I have but couldn't immediately replicate the error. Before I dig, could you let me know which version of SimBA you are running? You can find out by typing |
Thanks for the quick reply!! It's version 2.5.1 |
Thanks, let me insert something that will take care of this. ... I assume its becase ... anyway, I will update the code (it looks a little dated) and get back to you. |
@aurquieta if you update SimBA with thanks! |
So I have an error here: Requirement already satisfied: simba-uw-tf-dev in c:\programdata\miniconda3\envs\simba\lib\site-packages (2.5.1) What should I do, could this llvmlite be the issue? |
It seems like something python related may be running, potentially, or something permission related? None of the requirements have changed though from the SImBA version you have installed. If you flag that you don't want to change any dependencies with the command below, how does it run?
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Okay it updated well: I'll check if directionality is working now, thanks! |
Not able to append ROI data. Task has 1 animal in a maze spontaneous alternation, and I am trying to calculate ROI directionality but keep getting the following error:
Exception in Tkinter callback
Traceback (most recent call last):
File "C:\ProgramData\miniconda3\envs\simba\lib\tkinter_init_.py", line 1705, in call
return self.func(*args)
File "C:\ProgramData\miniconda3\envs\simba\lib\site-packages\simba\ui\tkinter_functions.py", line 436, in execute_command
cmd(**evaluated_kwargs)
File "C:\ProgramData\miniconda3\envs\simba\lib\site-packages\simba\ui\pop_ups\append_roi_features_bodypart_pop_up.py", line 32, in run
threading.Thread(target=roi_feature_creator.run()).start()
File "C:\ProgramData\miniconda3\envs\simba\lib\site-packages\simba\roi_tools\ROI_feature_analyzer.py", line 198, in run
self.out_df[c].mean().round(4),
AttributeError: 'float' object has no attribute 'round'
I tried as well to change csv data file to have the values as np.float64 values, but still got the same error.
I'll attach my features_extracted as well. Is there anything I am doing wrong? Please let me know, thanks!
Using anaconda and python version is 3.6.13
sa79m7_1_23.csv
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