Depression

data/errorrates/2bit_temp/misc/script.py

@@ -0,0 +1,36 @@
+import csv
+
+def filter_sort_and_write_csv(input_file, output_file, filter_value):
+    # Read the CSV file
+    with open(input_file, mode='r', newline='') as infile:
+        reader = csv.reader(infile)
+        data = list(reader)
+    
+    # Extract header and filter data for rows where the first column is the filter_value
+    header = data.pop(0)
+    filtered_data = [row for row in data if row[0] == str(filter_value)]
+    
+    # Sort the filtered data based on the first column
+    filtered_data.sort(key=lambda x: x[0])
+    
+    # Remove the first column from each row
+    processed_data = [row[1:] for row in filtered_data]
+    
+    # Write the processed data to a new CSV file
+    with open(output_file, mode='w', newline='') as outfile:
+        writer = csv.writer(outfile)
+        writer.writerows(processed_data)
+
+# Usage example
+#input_csv_file = './errorrates_left_5_5.csv'
+#output_csv_file = './errorrates_left_5_5_proccessed.csv'
+#filter_value = 2
+#filter_sort_and_write_csv(input_csv_file, output_csv_file, filter_value)
+
+tmps = ['5', '15', '25', '35', '45', '55']
+
+for tmp1 in tmps:
+    for tmp2 in tmps:
+        input = './errorrates_left_' + tmp1 + '_' + tmp2 + '.csv'
+        output = './processed/errorrates_' + tmp1 + '_' + tmp2 + '_processed.csv'
+        filter_sort_and_write_csv(input, output, 2)