| import pandas as pd |
| import sys |
|
|
| metadata_path = "C:/Users/Swamy/OneDrive - Zafrens/Desktop/Z-Screen Deepdive/Shared_Source_Data_June2026/external_reference/compound_atlases/lincs_l1000/processed/lincs_l1000_signature_metadata.parquet" |
| try: |
| df = pd.read_parquet(metadata_path) |
| print("Columns:", df.columns.tolist()) |
| |
| if 'pert_type' in df.columns: |
| print("\nPerturbation Types:") |
| print(df['pert_type'].value_counts()) |
| |
| if 'cell_id' in df.columns: |
| cells_of_interest = ['A549', 'HEK293', 'HEK293T', 'THP1', 'H1650', 'AEC7'] |
| print("\nCell Lines matching our interest:") |
| print(df[df['cell_id'].isin(cells_of_interest)]['cell_id'].value_counts()) |
| |
| except Exception as e: |
| print("Error:", e) |
|
|