From 2359374ad86546a40d1c5b436213f3dcd25e6759 Mon Sep 17 00:00:00 2001
From: whimsial <ai1v14@soton.ac.uk>
Date: Tue, 28 Aug 2018 16:38:28 +0100
Subject: [PATCH] Added a tool to extract critical buckling loads from the
 Abaqus data files for parametric studies

---
 README.md     |  2 ++
 datExtract.py | 53 +++++++++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 55 insertions(+)
 create mode 100755 datExtract.py

diff --git a/README.md b/README.md
index aabfc4a..90c9c30 100755
--- a/README.md
+++ b/README.md
@@ -1,6 +1,8 @@
 # Welcome to the Spindle FEA application repository
 
 [![License](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
+[![GitLab issues](https://img.shields.io/github/issues/badges/shields.svg)]
+
 
 ## Installation instructions
 
diff --git a/datExtract.py b/datExtract.py
new file mode 100755
index 0000000..5f08c25
--- /dev/null
+++ b/datExtract.py
@@ -0,0 +1,53 @@
+"""
+This script should be executed from the directory that contains .dat files generated by Abaqus CAE during analysis.
+It can be used to extract the critical buckling load values from each analysis .dat file and then store them within a
+single .dat file.
+"""
+
+import os
+import csv
+
+
+def eigenvals(path):
+    """
+    This function extracts all the eigenvalues from the list of .dat
+    files and saves them into a single .dat file
+
+    :param path: path to the .dat files generated by Abaqus CAE
+
+    :type path: str
+
+    :return: list of eigenvalues
+
+    :rtype: list
+    """
+
+    walk_dir = os.path.abspath(path)  # Convert to absolute path
+    print('Root directory is %s' % walk_dir)
+    content = []
+    # Extract content of each .dat file
+    files = next(os.walk(walk_dir))[2]
+    files.sort()
+    for filename in [f for f in files if f.endswith(".dat")]:
+        with open(os.path.join(walk_dir, filename), 'r') as f:
+            content.append(f.read().splitlines())
+    # Extract eigenvalues
+    eig_list = []
+    for item in content:
+        for index, line in enumerate(item):
+            if ' MODE NO      EIGENVALUE' in line:
+                # Extracting eig by its position
+                eig_list.append(item[index + 3:index + 11])
+    # Transforming to float:
+    eig_float = [[float(j.split()[1]) for j in x] for x in eig_list]
+    # Write into a .csv file
+    with open("eig_list_new.dat", "w") as f:
+        writer = csv.writer(f)
+        writer.writerows(eig_float)
+    return eig_float
+
+
+if __name__ == '__main__':
+    # Exporting mesh statistics:
+    path = './'
+    eigfloat = eigenvals(path)
-- 
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