idk

cci_collaboration_analysis.py

@@ -0,0 +1,94 @@
+
+"""
+Cleaned version of the CCICollaborationAnalyzer script.
+This script is structured and corrected for proper exception handling and visualization generation.
+"""
+
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+import logging
+import warnings
+from pathlib import Path
+from sklearn.preprocessing import StandardScaler
+from scipy import stats
+
+from cci_analyzer import CCIDataAnalyzer
+
+# Configure logging
+logging.basicConfig(level=logging.INFO,
+                    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")
+logger = logging.getLogger("cci_collaboration_analysis")
+
+# Suppress pandas warnings
+warnings.filterwarnings("ignore")
+
+
+class CCICollaborationAnalyzer:
+    def __init__(self, data_path, output_path="./output/collaboration"):
+        self.data_path = Path(data_path)
+        self.output_path = Path(output_path)
+        self.output_path.mkdir(parents=True, exist_ok=True)
+        
+        self.base_analyzer = CCIDataAnalyzer(data_path, output_path=str(self.output_path))
+        if not self.base_analyzer.load_data():
+            logger.error("Failed to load data through base analyzer")
+            return
+        
+        self.data = self.base_analyzer.data
+        self.collaboration_metrics = {}
+        self.temporal_analysis = {}
+        self.regional_analysis = {}
+        self.ev_vouchers_analysis = {}
+        self._separate_ev_vouchers()
+
+    def _separate_ev_vouchers(self):
+        if 'cci_projects' not in self.data:
+            logger.error("No project data available to separate EV vouchers")
+            return
+        df = self.data['cci_projects']
+        try:
+            ev_mask = ((df['agency_name'].str.contains('Air Resources Board', case=False, na=False)) &
+                       (df['program_name'].str.contains('Low Carbon Transportation', case=False, na=False)) &
+                       (df['sub_program_name'].str.contains('Clean Cars 4 All|CVRP|Financing Assistance',
+                                                            case=False, na=False)))
+            self.data['ev_vouchers'] = df[ev_mask].copy()
+            self.data['non_ev_projects'] = df[~ev_mask].copy()
+            logger.info(f"Separated {len(self.data['ev_vouchers'])} EV vouchers from {len(self.data['non_ev_projects'])} other projects")
+        except Exception as e:
+            logger.error(f"Error separating EV vouchers: {e}")
+
+    def _generate_visualizations(self):
+        """Generate visualizations of key findings."""
+        logger.info("Generating visualizations")
+        try:
+            self._plot_collaboration_impact()
+            self._plot_temporal_trends()
+            self._plot_regional_analysis()
+            self._plot_ev_vouchers_analysis()
+            self._plot_efficiency_equity_tradeoff()
+            logger.info(f"All visualizations completed and saved to {self.output_path}")
+        except Exception as e:
+            logger.error(f"Error generating visualizations: {e}")
+
+    # Define stubs for the required plotting methods
+    def _plot_collaboration_impact(self):
+        logger.info("Plotting collaboration impact...")
+        # Implementation goes here
+
+    def _plot_temporal_trends(self):
+        logger.info("Plotting temporal trends...")
+        # Implementation goes here
+
+    def _plot_regional_analysis(self):
+        logger.info("Plotting regional analysis...")
+        # Implementation goes here
+
+    def _plot_ev_vouchers_analysis(self):
+        logger.info("Plotting EV vouchers analysis...")
+        # Implementation goes here
+
+    def _plot_efficiency_equity_tradeoff(self):
+        logger.info("Plotting efficiency-equity tradeoff...")
+        # Implementation goes here