tp.emsd TypeError: mean() got an unexpected keyword argument 'level' about trackpy HOT 7 CLOSED

These are the only changes needed, both in motion.py:
Line 235: results = msds.mul(msds['N'], axis=0).groupby(level=1).mean() # weighted average
Line 236: results = results.div(msds['N'].groupby(level=1).mean(), axis=0) # weights normalized

I changed them in my own copy of motion.py within my virtual env and it works fine as expected.
Thanks for this great software :)

from trackpy.

That's great! Thank you!!

from trackpy.

Seeing this : 235 results = msds.mul(msds['N'], axis=0).mean(level=1) # weighted average and this : TypeError: mean() got an unexpected keyword argument 'level', it seems like a deprecation issue.

From the pandas documentation :

Deprecated since version 1.3.0: The level keyword is deprecated. Use groupby instead.

from trackpy.

Which version of pandas is compatible with trackpy 0.6.0rc1?

from trackpy.

Thanks for reporting this! Pandas 1.3 is the most recent version that I'm certain trackpy works with.

This needs a pull request, or a working version of that line of code.

from trackpy.

I think PR #735 might be related too.

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These are the only changes needed, both in motion.py: Line 235: results = msds.mul(msds['N'], axis=0).groupby(level=1).mean() # weighted average Line 236: results = results.div(msds['N'].groupby(level=1).mean(), axis=0) # weights normalized

I changed them in my own copy of motion.py within my virtual env and it works fine as expected. Thanks for this great software :)

I have submitted a pull request (#742) with this edit.
(In the meantime, anyone wishing to access the updated version may use my fork: https://github.com/horowitz-lab/trackpy/tree/fixpandasmean2023

from trackpy.