Pandas is optional

Author: metalbobinou

src/csv_manipulate-Csv.py

@@ -0,0 +1,49 @@
+import os
+
+# csv module for CSV parsing
+import csv as csv
+
+
+def load_csv(file_path, separator, column):
+    # Open file
+    with open(file_path, newline='') as  csv_file:
+        # Prepare a reader on the opened file
+        csv_reader = csv.reader(csv_file,
+                                delimiter=separator)
+        # Read each line and get the desired column
+        csv_list = []
+        for line in csv_reader:
+            csv_list.append(str(line[column]))
+    return csv_list
+
+
+def save_csv_to_file(dictio, file_path, separator):
+    # Delete the CSV file if it already exists
+    if os.path.exists(file_path):
+        os.remove(file_path)
+
+    with open(file_path, 'w') as csv_file:
+        writer = csv.writer(csv_file,
+                            delimiter=separator,
+                            quoting=csv.QUOTE_NONNUMERIC,
+                            escapechar='')
+        for key, value in dictio.items():
+            writer.writerow([key, value])
+
+### Quoting :
+# csv.QUOTE_ALL         : quotes every field
+# csv.QUOTE_MINIMAL     : quotes only fields with special characters
+# csv.QUOTE_NONNUMERIC  : quotes only non-numeric fields
+# csv.QUOTE_NONE        : no quoting [requires an 'escapechar']
+
+
+def print_out_csv(dictio, separator):
+    for key, value in dictio.items():
+        print(f"{key}{separator}{value}")
+
+
+def save_csv(dictio, separator, file_path):
+    if (file_path == "-"):
+        print_out_csv(dictio, separator)
+    else:
+        save_csv_to_file(dictio, file_path, separator)

src/csv_manipulate-Pandas.py

@@ -0,0 +1,51 @@
+import os
+
+# Pandas module for CSV parsing
+import pandas as pd
+
+# csv for Pandas options
+import csv
+
+
+def load_csv(file_path, separator, column):
+    csv_reader = pd.read_csv(file_path,
+                             sep=separator,
+                             header=None,
+                             usecols=[column])
+    csv_list = csv_reader[column].tolist()
+    return csv_list
+
+
+def save_csv_to_file(dictio, file_path, separator):
+    # Convert the dictionnary into a DataFrame
+    df = pd.DataFrame.from_dict(dictio,
+                                orient='index')
+
+    # Delete the CSV file if it already exists
+    if os.path.exists(file_path):
+        os.remove(file_path)
+
+    # Save the DataFrame as a CSV file
+    df.to_csv(file_path,
+              sep=separator,
+              header=False,
+              index=True,
+              quoting=csv.QUOTE_NONNUMERIC)
+
+### Quoting :
+# csv.QUOTE_ALL         : quotes every field
+# csv.QUOTE_MINIMAL     : quotes only fields with special characters
+# csv.QUOTE_NONNUMERIC  : quotes only non-numeric fields
+# csv.QUOTE_NONE        : no quoting [requires an 'escapechar']
+
+
+def print_out_csv(dictio, separator):
+    for key, value in dictio.items():
+        print(f"{key}{separator}{value}")
+
+
+def save_csv(dictio, separator, file_path):
+    if (file_path == "-"):
+        print_out_csv(dictio, separator)
+    else:
+        save_csv_to_file(dictio, file_path, separator)

src/csv_manipulate.py

@@ -1,28 +1,40 @@
-import pandas as pd
 import os
-import csv
-from tkinter import filedialog
 
+# csv module for CSV parsing
+import csv as csv
 
-def load_csv(path, separator, column):
-    csv_list = pd.read_csv(path,
-                           sep=separator,
-                           header=None,
-                           usecols=[column])
-    csv_list = csv_list[column].tolist()
-    return csv_list
 
+def load_csv(file_path, separator, column):
+    # Open file
+    with open(file_path, newline='') as  csv_file:
+        # Prepare a reader on the opened file
+        csv_reader = csv.reader(csv_file,
+                                delimiter=separator)
+        # Read each line and get the desired column
+        csv_list = []
+        for line in csv_reader:
+            csv_list.append(str(line[column]))
+    return csv_list
 
-def save_csv_to_file(dictio, separator, file_path):
-    # Convertir le dictionnaire en DataFrame
-    df = pd.DataFrame.from_dict(dictio, orient='index')
 
-    # Supprime le fichier csv si il existe déjà
+def save_csv_to_file(dictio, file_path, separator):
+    # Delete the CSV file if it already exists
     if os.path.exists(file_path):
         os.remove(file_path)
 
-    # Sauvegarder le DataFrame en tant que fichier CSV
-    df.to_csv(file_path, sep=separator, header=False, index=True)
+    with open(file_path, 'w') as csv_file:
+        writer = csv.writer(csv_file,
+                            delimiter=separator,
+                            quoting=csv.QUOTE_NONNUMERIC,
+                            escapechar='')
+        for key, value in dictio.items():
+            writer.writerow([key, value])
+
+### Quoting :
+# csv.QUOTE_ALL         : quotes every field
+# csv.QUOTE_MINIMAL     : quotes only fields with special characters
+# csv.QUOTE_NONNUMERIC  : quotes only non-numeric fields
+# csv.QUOTE_NONE        : no quoting [requires an 'escapechar']
 
 
 def print_out_csv(dictio, separator):
@@ -34,4 +46,4 @@ def save_csv(dictio, separator, file_path):
     if (file_path == "-"):
         print_out_csv(dictio, separator)
     else:
-        save_csv_to_file(dictio, separator, file_path)
+        save_csv_to_file(dictio, file_path, separator)