Minor change to Postgresql path in conn_string variable

HHTS_dbsetup.py

@@ -6,69 +6,77 @@
 ####################################
 # change for your setup
 DB_NAME = "HHTS"
-#database connection info
+# database connection info
 db_connection_info = {
     "database": DB_NAME,
     "host": "localhost",
     "port": 5432,
     "user": "postgres",
-    "password": "root"
+    "password": "root",
 }
 connection = psycopg2.connect(**db_connection_info)
-cur = connection.cursor() 
-#another format for connection info
-conn_string = 'postgres://postgres:root@localhost/HHTS'
-#where your HHTS excel files are located
+cur = connection.cursor()
+# another format for connection info
+conn_string = "postgresql://postgres:root@localhost/HHTS"
+# where your HHTS excel files are located
 filepath = "C:/Users/smoran/Downloads/PublicDB_RELEASE/DVRPC HTS Database Files/"
 ######################################
 
-#get list of existing tables in DB
+# get list of existing tables in DB
 def GetTableList(t_schema):
-    q_gettables = """
+    q_gettables = (
+        """
     SELECT
         table_name
     FROM information_schema.tables
     WHERE(
         table_schema = '%s'
         )
-    ORDER BY table_name""" % t_schema
-    #run query
+    ORDER BY table_name"""
+        % t_schema
+    )
+    # run query
     cur.execute(q_gettables)
     table_list = cur.fetchall()
-
-    return(table_list)
 
-#reformat that list
+    return table_list
+
+
+# reformat that list
 listtables = []
-for i in range(0, len(GetTableList('public'))):
-    listtables.append(GetTableList('public')[i][0])
+for i in range(0, len(GetTableList("public"))):
+    listtables.append(GetTableList("public")[i][0])
 
-#clean up column names for import
+# clean up column names for import
 def df_clean(df):
     # Replace "Column Name" with "column_name"
     df.columns = df.columns.str.replace(" ", "_")
     df.columns = [x.lower() for x in df.columns]
-    # Remove '.' and '-' from column names.       
+    # Remove '.' and '-' from column names.
     for s in [".", "-", "(", ")", "+"]:
         df.columns = df.columns.str.replace(s, "", regex=False)
     return df
 
-#read excel file, clean, and write to database    
-path = filepath + '%s'
+
+# read excel file, clean, and write to database
+path = filepath + "%s"
+
+
 def loadtables(tbl_name, excel_file_name):
     if tbl_name not in listtables:
         xlsx = path % excel_file_name
         df = pd.read_excel(xlsx)
-        #clean dataframe
+        # clean dataframe
         df_clean(df)
-        #write to db
+        # write to db
         engine = create_engine(conn_string)
-        df.to_sql(tbl_name, engine, schema = 'public')
+        df.to_sql(tbl_name, engine, schema="public")
     else:
         print("already in database")
 
-#iterate over the files to run the above functions
-db_tbl_names = ['household', 'person', 'vehicle', 'trip']
+
+# iterate over the files to run the above functions
+db_tbl_names = ["household", "person", "vehicle", "trip"]
 files = os.listdir(filepath)
-for i in range(0,4):
-    loadtables(db_tbl_names[i], files[i])
+for i in range(0, 4):
+    loadtables(db_tbl_names[i], files[i])