first commit

Calc SD.py

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+import numpy as np
+import pandas as pd
+
+data = pd.read_csv('/Users/benmazin/Code Dev/RP 4/netlogo results/results.csv')
+
+# calculate the standard deviation
+std_dev1 = np.std(data['ChemoTotalDead'].dropna())
+std_dev2 = np.std(data['NoChemoTotalDead'].dropna())
+std_dev3 = np.std(data['ChemoPercentInfect'].dropna())
+std_dev4 = np.std(data['NoChemoPercentInfect'].dropna())
+
+# create a DataFrame to store the results
+result = pd.DataFrame({'ChemoTotalDead_std_dev': [std_dev1],
+                       'NoChemoTotalDead_std_dev': [std_dev2],
+                       'ChemoPercentInfect_std_dev': [std_dev3],
+                       'NoChemoPercentInfect_std_dev': [std_dev4]})
+
+# save the DataFrame as a CSV file
+result.to_csv('/Users/benmazin/Code Dev/RP 4/netlogo results/std_dev_results.csv', index=False)