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Fix out of bound error in pipelines/steps/visualize_datatable_vars.py

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florez_j
2025-04-11 11:04:00 +02:00
parent c9e25c2483
commit 68a7d5dc2b
1 changed files with 11 additions and 0 deletions
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11
pipelines/steps/visualize_datatable_vars.py
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@ -96,6 +96,7 @@ def visualize_table_variables(data_file_path, dataset_name, flags_dataset_name,
# Specify flag name associated with var name in y_vars. By construction, it is assumed the name satisfy the following sufix convention. # Specify flag name associated with var name in y_vars. By construction, it is assumed the name satisfy the following sufix convention.
var_flag_name = f"flag_{var}" var_flag_name = f"flag_{var}"
if var_flag_name in flags_df.columns: if var_flag_name in flags_df.columns:
# Identify valid and invalid indices # Identify valid and invalid indices
ind_invalid = flags_df[var_flag_name].to_numpy() ind_invalid = flags_df[var_flag_name].to_numpy()
# ind_valid = np.logical_not(ind_valid) # ind_valid = np.logical_not(ind_valid)
@ -106,7 +107,17 @@ def visualize_table_variables(data_file_path, dataset_name, flags_dataset_name,
# Fill invalid regions # Fill invalid regions
t_base = dataset_df[x_var].to_numpy() t_base = dataset_df[x_var].to_numpy()
max_idx = len(t_base) - 1 # maximum valid index
for start, end in zip(invalid_starts, invalid_ends): for start, end in zip(invalid_starts, invalid_ends):
if start >= end:
print(f"Warning: Skipping invalid interval — start ({start}) >= end ({end})")
continue
# Clip start and end to valid index range
start = max(0, start)
end = min(end, max_idx)
ax.fill_betweenx([dataset_df[var].min(), dataset_df[var].max()], t_base[start], t_base[end], ax.fill_betweenx([dataset_df[var].min(), dataset_df[var].max()], t_base[start], t_base[end],
color='red', alpha=0.3, label="Invalid Data" if start == invalid_starts[0] else "") color='red', alpha=0.3, label="Invalid Data" if start == invalid_starts[0] else "")