From 6d76df07f2a3f68d22cd048cfe89a0d810eca231 Mon Sep 17 00:00:00 2001 From: Christophe BOETTO <cboetto@pasteur.fr> Date: Wed, 12 Jun 2024 15:46:11 +0200 Subject: [PATCH] removed redundancy in readme and networkx from requirements --- README.md | 5 +---- python/requirements.txt | 1 - python/src/explainer.py | 2 +- 3 files changed, 2 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index d6e4033..c73b020 100644 --- a/README.md +++ b/README.md @@ -13,9 +13,6 @@ In the Python version you will find : - Explainer - A tool to help explain the results from a MANOCCA test. You can for instance use it to check the power with regard to the number of PCs kept, of the main loadings of some PCs. - the rest is mostly functionalities under development. -# Get started -For the python version, enter the Python repositories, follow the installation instructions below and - # Python Installation Start by creating a Python venv in the directory with the requirements.txt file. You can run the command : @@ -43,7 +40,7 @@ Follow these steps : - Launch you docker engine (ex : launch the docker application) - Then run the following command in your terminal while in the the MANOCCA/python directory (or prompt in windows) - docker build -t manocca_docker . -- docker run -it test1 +- docker run -it manocca_docker This will allow you to run an interactive terminal with the right environment to make MANOCCA work. If you want to use your personal data, you can add a repository in MANOCCA/python/your_data_directory and the data will be copied in the docker build command and you can access it within the interactive docker. If your dataset is too big, consider looking at the docker documentation to access data from an interactiver container. Remark : jupyter notebook might be tricky to run from a container, so use the Example_manocca_script.py to get started. diff --git a/python/requirements.txt b/python/requirements.txt index 37abb64..d9b106e 100644 --- a/python/requirements.txt +++ b/python/requirements.txt @@ -42,7 +42,6 @@ nbclient==0.6.7 nbconvert==7.0.0 nbformat==5.4.0 nest-asyncio==1.5.5 -networkx==3.2.1 notebook==6.4.12 numpy==1.21.2 packaging==21.3 diff --git a/python/src/explainer.py b/python/src/explainer.py index 80021ab..829a24d 100644 --- a/python/src/explainer.py +++ b/python/src/explainer.py @@ -6,7 +6,7 @@ from manova import MANOVA from univariate import UNIVARIATE from tools.h_clustering import cluster_corr -from tools.build_graph import get_tree, build_graph +#from tools.build_graph import get_tree, build_graph import plotly.express as px from plotly.subplots import make_subplots -- GitLab