From 610cc4e8bf2ecaa321ab5038cf385cc21493dc25 Mon Sep 17 00:00:00 2001 From: ImSoErgodic Date: Tue, 18 Aug 2015 15:38:46 +0100 Subject: [PATCH 1/3] Update README.md --- README.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index e146335..04aee1a 100644 --- a/README.md +++ b/README.md @@ -31,7 +31,11 @@ pyUpSet is on [PyPI](https://pypi.python.org/pypi/pyupset/0.1.1.post1) and can t pip install pyupset ``` -If you'd rather install from source, you can download and unzip the tar archive (in `pyupset/dist/`) +If you'd rather install from source, you can download and unzip the tar archive (in [pyupset/dist/](https://github.com/ImSoErgodic/py-upset/tree/master/pyupset/dist)) and run + +``` +python setup.py install +``` ## How it works From 3a6b65fd491d14bd4fd3cc94196b9130c2740e4f Mon Sep 17 00:00:00 2001 From: ImSoErgodic Date: Tue, 18 Aug 2015 15:39:18 +0100 Subject: [PATCH 2/3] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 04aee1a..62dd118 100644 --- a/README.md +++ b/README.md @@ -23,7 +23,7 @@ interface and the internal mechanics of the module. (More on this below.) Consistently with the documentation used for Lex et al.'s UpSet, the data employed in the following examples comes from the movie data set of the [GroupLens Labs](http://grouplens.org/datasets/movielens). -## How to install pyUpSet is on [PyPI](https://pypi.python.org/pypi/pyupset/0.1.1.post1) and can therefore be installed via `pip`: From 819bf50f3acb5835b0b95ab5b21cc97e5756d3fc Mon Sep 17 00:00:00 2001 From: ImSoErgodic Date: Tue, 18 Aug 2015 15:40:18 +0100 Subject: [PATCH 3/3] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 62dd118..4ba2b7a 100644 --- a/README.md +++ b/README.md @@ -60,7 +60,7 @@ Displayed intersections can also be filtered or sorted by size or degree: pyu.plot(data_dict, unique_keys = ['title'], sort_by='degree', inters_size_bounds=(20, 400)) ``` produces -![basic filtering](https://github.com/ImSoErgodic/py-upset/blob/master/basic_filtered.png "") +![basic filtering](https://github.com/ImSoErgodic/py-upset/blob/master/pictures/basic_filtered.png "") The example above also uses the `unique_keys` kwarg, which specifies columns of the underlying data frames in `data_dict` that can be used to uniquely identify rows and possibly speed up the computation of intersections.