V1.2 Fixed minor bug

Fixed a minor bug that was incorrectly incrementing the "N°" column

TVTime.py

@@ -1,81 +1,81 @@
-from tvtimewrapper import TVTimeWrapper
-import pandas
-import json
-import os
-
-"""
- Author : Kuaï
- Github : Kuai-sama
- Created date project : 18/02/2022
- Last update : 23/02/2022
- Current version : v1.1
- Python interpretor : 3.8.7 64 bit
-
- Goals of the Project : Exporting accurately data from TvTime to cvs file
-"""
-
-dir_path = os.path.dirname(os.path.realpath(
- __file__)) # Current directory project
-file_name_json = dir_path + os.sep + r"data.json"
-file_name_csv = dir_path + os.sep + r"dataTVTime.csv"
-
-# Connection
-tvtime = TVTimeWrapper(r"YourUserName", r"YourPassword")
-print("Connection to TVTimeWrapper module")
-
-# Get all the shows that the user have followed
-ShowFollowed = tvtime.show.followed()
-
-list = ['1', '1,3', '1,5', '2', '2,6', '3', '4']
-# Keep only one image for all shows
-for element in ShowFollowed:
- del element["all_images"]["banner"]
- del element["all_images"]["fanart"]
- for i in list:
-  del element["all_images"]["poster"][i]
-
-print("Get selected data of all the shows that you have followed")
-
-# Send the modified data in to a real json file
-with open(file_name_json, 'w') as my_file:
- json.dump(ShowFollowed, my_file)
-
-# Convert json to csv data
-pandas.read_json(file_name_json).to_csv(file_name_csv)
-
-# Read the file
-data = pandas.read_csv(file_name_csv)
-
-# List of all columns to be deleted
-columns_To_Be_Deleted = ['last_seen', 'last_aired', 'next_aired', 'followed', 'archived', 'diffusion', 'folder',
- 'notification_type', 'is_web_serie', 'hashtag', 'number_of_seasons', 'favorite']
-
-# Drop useless columns from the CSV data
-for column in columns_To_Be_Deleted:
- data.pop(column)
-
-# Remove shows already seen
-index = data[data['up_to_date'] == True].index
-data.drop(index, inplace=True)
-
-'''
- By default, when converting json data to csv, it creates a column named "Unnamed: 0", which refers to the iteration number of your show. so wer rename the column to "N°"
-'''
-data.rename(columns={"Unnamed: 0": "N°"}, inplace=True)
-data.columns
-
-# Remove {'poster': {'0': in all_images column
-for key, value in data.iterrows():
- NewString = '{}'.format(value["all_images"]).lstrip("{'poster': {'0': '")
- data.loc[key, "all_images"] = NewString[:-3]
-# Increment the column "N°"
- incremented_value = '{}'.format(value["N°"])
- incremented_value = int(incremented_value)
- incremented_value += 1
- data.loc[key, "N°"] = incremented_value
-
-print(data) # display
-
-# Saving file
-data.to_csv(file_name_csv, index=None)
-print("Saved file")
+# coding: utf-8
+from tvtimewrapper import TVTimeWrapper
+import pandas
+import json
+import os
+
+"""
+ Author : Kuaï
+ Github : Kuai-sama
+ Created date project : 18/02/2022
+ Last update : 03/04/2022
+ Current version : v1.1
+ Python interpretor : 3.8.7 64 bit
+ Goals of the Project : Exporting accurately data from TvTime to cvs file
+"""
+
+dir_path = os.path.dirname(os.path.realpath(
+ __file__)) # Current directory project
+
+file_name_json = dir_path + os.sep + r"data.json"
+file_name_csv = dir_path + os.sep + r"dataTVTime.csv"
+
+# Connection
+tvtime = TVTimeWrapper(r"YourUserName", r"YourPassword")
+print("Connection to TVTimeWrapper module")
+
+# Get all the shows that the user have followed
+ShowFollowed = tvtime.show.followed()
+
+list = ['1', '1,3', '1,5', '2', '2,6', '3', '4']
+# Keep only one image for all shows
+for element in ShowFollowed:
+ del element["all_images"]["banner"]
+ del element["all_images"]["fanart"]
+ for i in list:
+ del element["all_images"]["poster"][i]
+
+print("Get selected data of all the shows that you have followed")
+
+# Send the modified data in to a real json file
+with open(file_name_json, 'w') as my_file:
+ json.dump(ShowFollowed, my_file)
+
+# Convert json to csv data
+pandas.read_json(file_name_json).to_csv(file_name_csv)
+
+# Read the file
+data = pandas.read_csv(file_name_csv)
+
+# List of all columns to be deleted
+columns_To_Be_Deleted = ['last_seen', 'last_aired', 'next_aired', 'followed', 'archived', 'diffusion', 'folder',
+ 'notification_type', 'is_web_serie', 'hashtag', 'number_of_seasons', 'favorite']
+
+# Drop useless columns from the CSV data
+for column in columns_To_Be_Deleted:
+ data.pop(column)
+
+# Remove shows already seen
+index = data[data['up_to_date'] == True].index
+data.drop(index, inplace=True)
+
+'''
+ By default, when converting json data to csv, it creates a column named "Unnamed: 0", which refers to the iteration number of your show. so we have rename the column to "N°"
+'''
+data.rename(columns={"Unnamed: 0": "N°"}, inplace=True)
+data.columns
+
+incremented_value = 0
+# Remove {'poster': {'0':  in all_images column
+for key, value in data.iterrows():
+ NewString = '{}'.format(value["all_images"]).lstrip("{'poster': {'0': '")
+ data.loc[key, "all_images"] = NewString[:-3]
+# Increment the column "N°"
+ incremented_value += 1
+ data.loc[key, "N°"] = incremented_value
+
+print(data) # display
+
+# Saving file
+data.to_csv(file_name_csv, index=None)
+print("Saved file")