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which I notice are more recent versions of the dependencies. I installed dabest using pip. I have also built the cloned version to test and get the same error.
I have forked a copy of the code to see if there is a simple fix.
The text was updated successfully, but these errors were encountered:
Thanks for this notice; I do need to track if dabest plays well with the latest update to numpy and matplotlib. Did you close this because this has been resolved?
I closed it because I found a similar issue during later debugging, and the resolution for that worked here- using pandas 0.24. I have not changed any of the other dependencies so so far it works with later versions of NumPy and matplotlib.
I have tried to run the test code from the README with the example dataset and get an error (TypeError: must be real number, not list) on the line:
iris_dabest.mean_diff.plot(), and occurs due to this line in the gapped_lines function:
--> 162 quantiles = data.groupby(x)[y].quantile([0.25, 0.75])
163 .unstack()
164 .reindex(index=group_order)
I am using Python3.7 with the following modules:
scipy 1.3.0
seaborn 0.9.0
pandas 0.25.0
numpy 1.17.0
matplotlib 3.1.1
which I notice are more recent versions of the dependencies. I installed dabest using pip. I have also built the cloned version to test and get the same error.
I have forked a copy of the code to see if there is a simple fix.
The text was updated successfully, but these errors were encountered: