alchemlyb icon indicating copy to clipboard operation
alchemlyb copied to clipboard

the simple alchemistry library

Results 84 alchemlyb issues
Sort by recently updated
recently updated
newest added

Add the analysis of converging fraction R_c from the paper S. Fan, B. I. Iorga, and O. Beckstein. Prediction of octanol-water partition coefficients for the SAMPL6- log P molecules using...

enhancement
convergence

Remove the support for py3.7 Fix #179 Add deprecation warning to alchemlyb.concat and will remove it in 1.0.0

I will try to Implement the workflow pipeline as is discussed in #111 . I noticed that the subsampling part will be refactored with #98. Given I cannot leave this...

In the context of #201 it became apparent that the order of columns in a DataFrame can become important if care is not taken to access the correct columns via...

WIth https://github.com/pandas-dev/pandas/pull/42252, The pandas.concat is fixed from v1.4.0 (at the develop branch), so I placed the issue here to remind me to remove alchemlyb.concat when we raise the dependency of...

preprocessors

This PR addresses #80. We have added an `alchemlyb.preprocessing.bootstrapping` submodule. The functions exposed by this module should work on both `dHdl` and `u_nk` standard forms, with a similar usage feel...

Consistent with how we instruct users in [our docs](https://alchemlyb.readthedocs.io/en/latest/estimators.html), we should [avoid using `iloc`](https://github.com/alchemistry/alchemlyb/pull/201#issuecomment-1170613385) and instead use `.loc` in our tests to specify which states to get free energy differences...

testing

pymbar 4 has been released and pymbar 3 will not be maintained anymore (see Discussion #205 ). (Addendum: there now seems to be LTS for 3.x, see #205 ) alchemlyb...

enhancement
preprocessors
estimators
docs
CI

From the tests ``` src/alchemlyb/tests/parsing/test_gmx.py: 61 warnings /home/runner/work/alchemlyb/alchemlyb/src/alchemlyb/parsing/gmx.py:210: FutureWarning: pandas.Float64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead. index=pd.Float64Index(times.values,...