From 882a5a699b0e5f141eeaa0c330c1b99420c5dc94 Mon Sep 17 00:00:00 2001
From: Tim O'Donnell <timodonnell@gmail.com>
Date: Tue, 4 Feb 2020 18:49:34 -0500
Subject: [PATCH] dropping py2 support
---
.travis.yml | 2 +-
README.md | 2 +-
mhcflurry/class1_affinity_predictor.py | 2 +-
3 files changed, 3 insertions(+), 3 deletions(-)
diff --git a/.travis.yml b/.travis.yml
index 59c0596a..3dcd0481 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -1,7 +1,7 @@
language: python
python:
- - "2.7"
- "3.6"
+ - "3.7"
before_install:
- if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then
wget https://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh -O miniconda.sh;
diff --git a/README.md b/README.md
index 1b5991f2..cc97f4f7 100644
--- a/README.md
+++ b/README.md
@@ -8,7 +8,7 @@ prediction package with competitive accuracy and a fast and
MHCflurry implements class I peptide/MHC binding affinity prediction. By default
it supports 112 MHC alleles using ensembles of allele-specific models.
Pan-allele predictors supporting virtually any MHC allele of known sequence
-are available for testing (see below). MHCflurry runs on Python 2.7 and 3.4+ using the
+are available for testing (see below). MHCflurry runs on Python 3.4+ using the
[keras](https://keras.io) neural network library.
It exposes [command-line](http://openvax.github.io/mhcflurry/commandline_tutorial.html)
and [Python library](http://openvax.github.io/mhcflurry/python_tutorial.html)
diff --git a/mhcflurry/class1_affinity_predictor.py b/mhcflurry/class1_affinity_predictor.py
index b6f2d903..3c268bb7 100644
--- a/mhcflurry/class1_affinity_predictor.py
+++ b/mhcflurry/class1_affinity_predictor.py
@@ -422,7 +422,7 @@ class Class1AffinityPredictor(object):
numpy.testing.assert_array_almost_equal(
series.index.values,
percent_ranks_df.index.values)
- percent_ranks_df[allele] = series
+ percent_ranks_df[allele] = series.values
percent_ranks_path = join(models_dir, "percent_ranks.csv")
percent_ranks_df.to_csv(
percent_ranks_path,
--
GitLab