Add data_script.py to pull desired columns from large data file

WorkSpace/GregorNeuert/data_script.py

@@ -0,0 +1,18 @@
+import pandas as pd
+
+# Load the CSV file
+file_path = 'pdoCalibrationData_NeuertLab_240925.csv'
+data = pd.read_csv(file_path)
+
+# Filter the data based on Condition = '2M_NaCl_Step'
+# Adjusting the filter to be case-insensitive and checking for partial matches
+filtered_data = data.loc[data['Condition'].str.contains('2M_NaCl_Step', case=False, na=False), 
+                         ['Cell_id', 'Condition', 'Replica', 'Conc_mM', 'time', 'RNA_STL1_cyto_TS3Full']]
+
+# Define the output file path
+output_file_path = 'filtered_data_2M_NaCl_Step.csv'
+
+# Save the filtered data to a new CSV file
+filtered_data.to_csv(output_file_path, index=False)
+
+output_file_path