add csv metadata post-process example

Author: NicolasCARPi

examples/17-csv-metadata-as-columns.py

@@ -0,0 +1,22 @@
+# This script takes an eLabFTW exported CSV file as input
+# and processes the metadata into new columns
+# it requires the "pandas" library
+import pandas as pd
+import json
+
+def get_fields(metadata):
+    """Extract the name and value of extra field"""
+    try:
+        metadata_dict = json.loads(metadata)
+        return {name: field.get('value', None) for name, field in metadata_dict['extra_fields'].items()}
+    except (json.JSONDecodeError, KeyError, TypeError):
+        return {}
+
+df = pd.read_csv('data/antibodies-export-from-elab.csv')
+
+for index, row in df.iterrows():
+    new_fields = get_fields(row['metadata'])
+    for name, value in new_fields.items():
+        df.at[index, name] = value
+
+df.to_csv('output.csv', index=False)