Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

plotting fails in pandas==0.25.0

See original GitHub issue

Issue Description

Same code works in pandas==0.24.0 When updated to 0.25.0 it fails and return the following error:

Traceback (most recent call last):
......
  File "/home/tongli/miniconda3/envs/maars/lib/python3.7/site-packages/dabest/_classes.py", line 1235, in plot
    out = EffectSizeDataFramePlotter(self, **all_kwargs)
  File "/home/tongli/miniconda3/envs/maars/lib/python3.7/site-packages/dabest/plotter.py", line 377, in EffectSizeDataFramePlotter
    **group_summary_kwargs)
  File "/home/tongli/miniconda3/envs/maars/lib/python3.7/site-packages/dabest/plot_tools.py", line 162, in gapped_lines
    quantiles = data.groupby(x)[y].quantile([0.25, 0.75])\
  File "/home/tongli/miniconda3/envs/maars/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 1908, in quantile
    interpolation=interpolation,
  File "/home/tongli/miniconda3/envs/maars/lib/python3.7/site-packages/pandas/core/groupby/groupby.py", line 2248, in _get_cythonized_result
    func(**kwargs)  # Call func to modify indexer values in place
  File "pandas/_libs/groupby.pyx", line 692, in pandas._libs.groupby.group_quantile
TypeError: must be real number, not list

Issue Analytics

State:
Created 4 years ago
Comments:9 (5 by maintainers)

Top GitHub Comments

2reactions

joseshocommented, Dec 26, 2019

Closed with #89

1reaction

BioinfoTongLIcommented, Jul 29, 2019

Hello, FYI, this is not an issue causes by dabest. Something is broken while Cythonizing the groupby.quantile in the version 0.25 of Pandas. https://github.com/pandas-dev/pandas/pull/20405#issue-175799676 https://github.com/pandas-dev/pandas/issues/27526#issue-471367450 I believe the best solution, in short term, is to force people stay at 0.24