Replace DropDeform_bo.py

script/DropDeform_bo.py

@@ -266,8 +266,6 @@ def sample_data(config, M_deform, cor_bo, ish):
         data_x_new = np.log(data_x_new)
         # Combine x_data and y_data into a DataFrame for easy manipulation
         data = pd.DataFrame({'x': data_x_new, 'y': data_y_new})
-        # Exclude data points where y == 0
-        data = data[data['y'] != 0] 
         # Bin x into equally spaced bins
         data['x_bin'] = pd.cut(data['x'], bins=config.n_bins, labels=False)
         # Calculate the minimum number of points in any bin
@@ -286,8 +284,7 @@ def sample_data(config, M_deform, cor_bo, ish):
         # Define x samples for fitting
         x_sampled = balanced_sample['x'].values
         # Transfer back into non logarithmic scale
-        if cor_bo == 0:
-            x_sampled = np.exp(x_sampled)
+        x_sampled = np.exp(x_sampled)
         # Define y samples for fitting
         y_sampled = balanced_sample['y'].values 
     else: