Mercurial > repos > bgruening > flexynesis
diff flexynesis_plot.py @ 5:466b593fd87e draft default tip
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/flexynesis commit 1afbaf45449e25238935e222f983da62392c067a
author | bgruening |
---|---|
date | Fri, 04 Jul 2025 14:57:40 +0000 |
parents | 525c661a7fdc |
children |
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--- a/flexynesis_plot.py Mon Jun 30 17:19:10 2025 +0000 +++ b/flexynesis_plot.py Fri Jul 04 14:57:40 2025 +0000 @@ -214,21 +214,25 @@ def generate_dimred_plots(embeddings, matched_labels, args, output_dir, output_name_base): """Generate dimensionality reduction plots""" - # Parse target variables - target_vars = [var.strip() for var in args.target_variables.split(',')] + # Parse target values from comma-separated string + if args.target_value: + target_values = [val.strip() for val in args.target_value.split(',')] + else: + # If no target values specified, use all unique variables + target_values = matched_labels['variable'].unique().tolist() - print(f"Generating {args.method.upper()} plots for {len(target_vars)} target variable(s): {', '.join(target_vars)}") + print(f"Generating {args.method.upper()} plots for {len(target_values)} target variable(s): {', '.join(target_values)}") # Check variables available_vars = matched_labels['variable'].unique() - missing_vars = [var for var in target_vars if var not in available_vars] + missing_vars = [var for var in target_values if var not in available_vars] if missing_vars: print(f"Warning: The following target variables were not found in the data: {', '.join(missing_vars)}") print(f"Available variables: {', '.join(available_vars)}") # Filter to only process available variables - valid_vars = [var for var in target_vars if var in available_vars] + valid_vars = [var for var in target_values if var in available_vars] if not valid_vars: raise ValueError(f"None of the specified target variables were found in the data. Available: {', '.join(available_vars)}") @@ -989,8 +993,6 @@ help="Path to input data embeddings file (CSV or tabular format). Required for dimred plots.") parser.add_argument("--method", type=str, default='pca', choices=['pca', 'umap'], help="Transformation method ('pca' or 'umap'). Default is 'pca'. Used for dimred plots.") - parser.add_argument("--target_variables", type=str, required=False, - help="Comma-separated list of target variables to plot.") # Arguments for Kaplan-Meier parser.add_argument("--survival_data", type=str, @@ -1024,7 +1026,7 @@ parser.add_argument("--random_state", type=int, default=42, help="Random seed for reproducibility. Default is 42") - # Arguments for scatter plot, heatmap, PR curves, ROC curves, and box plots + # Arguments for dimred, scatter plot, heatmap, PR curves, ROC curves, and box plots parser.add_argument("--target_value", type=str, default=None, help="Target value for scatter plot.") @@ -1057,8 +1059,6 @@ raise ValueError("--labels is required for dimensionality reduction plots") if not args.method: raise ValueError("--method is required for dimensionality reduction plots") - if not args.target_variables: - raise ValueError("--target_variables is required for dimensionality reduction plots") if args.plot_type in ['kaplan_meier']: if not args.survival_data: