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read_xml_from_db.py

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+import mysql.connector
+from mysql.connector import Error
+import xml.etree.ElementTree as ET
+from xml.dom import minidom
+
+
+def compute_gpa(score):
+    if score >= 90:     # A+
+        return 4.5
+    elif score >= 85:   # A
+        return 4
+    elif score >= 80:   # A-
+        return 3.7
+    elif score >= 77:   # B+
+        return 3.3
+    elif score >= 73:   # B
+        return 3
+    elif score >= 70:   # B-
+        return 2.7
+    elif score >= 67:   # C+
+        return 2.5
+    elif score >= 63:   # C
+        return 2.3
+    elif score >= 60:   # C-
+        return 2
+    elif score >= 50:   # D
+        return 1
+    else:
+        return 0        # E
+
+
+try:
+    # Connect MySQL/test1 database
+    connection = mysql.connector.connect(
+        host='localhost', # host name
+        database='xmldb', # database name
+        user='tata',       # account
+        password='123123')    # password
+
+    if connection.is_connected():
+        # version of database
+        db_Info = connection.get_server_info()
+        print("version of database：", db_Info)
+
+        # show information of the current database
+        cursor = connection.cursor()
+        cursor.execute("SELECT DATABASE();")
+        record = cursor.fetchone()
+        print("current database：", record)
+
+        cursor = connection.cursor()
+        query = "SELECT * FROM score_data;"
+        cursor.execute(query)
+
+        root = ET.Element("score_data")
+
+        for (student_id, xml_score, data_structure_score, algorithm_score, network_score) in cursor:
+            sub_1 = ET.SubElement(root, "student", student_id=student_id)
+            xml_class = ET.SubElement(sub_1, "xml_class", gpa=str(compute_gpa(xml_score))).text = str(xml_score)
+            xml_class = ET.SubElement(sub_1, "data_structure", gpa=str(compute_gpa(data_structure_score))).text = str(data_structure_score)
+            xml_class = ET.SubElement(sub_1, "algorithm", gpa=str(compute_gpa(algorithm_score))).text = str(algorithm_score)
+            xml_class = ET.SubElement(sub_1, "network", gpa=str(compute_gpa(network_score))).text = str(network_score)
+
+        # Save the xml file
+        xmlstr = minidom.parseString(ET.tostring(root)).toprettyxml(indent="   ")
+        with open("./xml/output.xml", "w") as f:
+            f.write(xmlstr)
+
+except Error as e:
+    print("connection failure：", e)
+
+finally:
+    if (connection.is_connected()):
+        cursor.close()
+        connection.close()
+        print("database connection closed")

seperate_col.py

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+import pandas as pd
+import glob
+import re
+
+
+def split_to_groups(list_, n_group):
+    assert (len(list_) / n_group) < 998, "Can't split to {} groups".format(len(l) / n)
+
+    if list_ == []:
+        return []
+
+    else:
+        f = [list_[:n_group]]
+        f.extend(split_to_groups(list_[n_group:], n_group))
+        return f
+
+
+file_path = glob.glob(r"./kluay_csv/*.csv")
+
+for file in file_path:
+
+    dict = {}
+    dict_index = 0
+    print(file[12:-4])
+
+    df = pd.read_csv(file)
+    num_table = re.findall("\d+\.\d+", str(df["Length"].to_string()))
+    num_table.pop(-1)
+
+    n = split_to_groups(num_table, 3)
+
+    for n_1, n_2, n_3 in n:
+        dict[dict_index] = {"latitude": n_1, "longtitude": n_2, "height": n_3}
+        dict_index = dict_index + 1
+
+    df = pd.DataFrame.from_dict(dict, "index")
+
+    path = f'.//kluay_csv//{file[12:-4]}_LLL.csv'
+    df.to_csv(path)