From db814410e1fc9f3ba2304802916168b31b8d6b0c Mon Sep 17 00:00:00 2001 From: Shang-Yang Chen Date: Thu, 18 Mar 2021 11:58:22 -0500 Subject: [PATCH] change column header --- magnet_app/helper.py | 2 +- magnet_app/views.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/magnet_app/helper.py b/magnet_app/helper.py index 4458174..ba8fe4b 100644 --- a/magnet_app/helper.py +++ b/magnet_app/helper.py @@ -325,7 +325,7 @@ def dataframe_to_dash_table(df): 'name': 'Parameters (N, K, n, k)', }, { 'id': 'overlap_genes', - 'name': 'Overlapped Genes', + 'name': 'Overlapping Genes', }], data=df.to_dict('records'), ) diff --git a/magnet_app/views.py b/magnet_app/views.py index 92122b3..1ed61f6 100644 --- a/magnet_app/views.py +++ b/magnet_app/views.py @@ -169,7 +169,7 @@ def download(request, **kwargs): sig_dict = context.get('dash_to_django_context', 0) sig_df = pd.DataFrame.from_dict(sig_dict) sig_df = sig_df[['user_cluster','dataset_name','cluster_description','pval','adjusted_pval','parameters','overlap_genes']] - sig_df.columns = ['User cluster', 'Dataset', 'Dataset cluster', 'P-value', 'Adjusted P-Value (FDR)', 'Parameters (N, B, n, b)', 'Overlapped Genes'] + sig_df.columns = ['User cluster', 'Dataset', 'Dataset cluster', 'P-value', 'Adjusted P-Value (FDR)', 'Parameters (N, B, n, b)', 'Overlapping Genes'] sig_df = sig_df.to_csv(index=False) # cast to csv string # Create the HttpResponse object with the appropriate CSV header.