WIP

lab1/.idea/.gitignore

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+# Default ignored files
+/shelf/
+/workspace.xml

lab1/.idea/csv-editor.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="CsvFileAttributes">
+    <option name="attributeMap">
+      <map>
+        <entry key="/annthyroid_unsupervised_anomaly_detection.csv">
+          <value>
+            <Attribute>
+              <option name="separator" value=";" />
+            </Attribute>
+          </value>
+        </entry>
+      </map>
+    </option>
+  </component>
+</project>

lab1/.idea/inspectionProfiles/profiles_settings.xml

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+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

lab1/.idea/lab1.iml

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+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$">
+      <excludeFolder url="file://$MODULE_DIR$/venv" />
+    </content>
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

lab1/.idea/misc.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="Black">
+    <option name="sdkName" value="Python 3.11 (lab1)" />
+  </component>
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.11 (lab1)" project-jdk-type="Python SDK" />
+</project>

lab1/.idea/modules.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/lab1.iml" filepath="$PROJECT_DIR$/.idea/lab1.iml" />
+    </modules>
+  </component>
+</project>

lab1/.idea/vcs.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="$PROJECT_DIR$/.." vcs="Git" />
+  </component>
+</project>

lab1/preprocess.py

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+import pandas as pd
+
+
+input_data = pd.read_csv("annthyroid_unsupervised_anomaly_detection.csv", sep=";")
+
+print(input_data.head(10))
+# deal with missing values
+print(input_data[ input_data.isna().any(axis=1) ])

lab1/requirements.txt

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+numpy==1.26.2
+pandas==2.1.3
+python-dateutil==2.8.2
+pytz==2023.3.post1
+six==1.16.0
+tzdata==2023.3