updated_version_1.2

README.md

@@ -17,51 +17,66 @@
 # Installation
 To install the package, use pip:
 ```bash
-pip install dbsconnector==1.1
+pip install dbsconnector==1.2
 ```
 
 # How to use this package?
 
 ## Connecting to csv
 ```py
 # import the module:
-from dbsconnector import databases
-# load the data:
-df = databases.load_csv(filepath='sample.csv', delimiter=',')
-# display the data:
-df
+from dbsconnector.databases import CSV
+
+# load csv file:
+df = CSV().load_csv(filepath="filedir/filename.csv", delimiter=",")
+
+# convert dataframe to csv file:
+CSV().to_csv(data=df, filepath="filepath.csv")
 ```
 
+
 ## Connecting to Excel
 ```py
 # import the module:
-from dbsconnector import databases
+from dbsconnector.databases import Excel
+
 # load the data:
-df = databases.load_excelsheet(filepath='sample.xlsx', sheet_name='sample_sheet')
-# display the data:
-df
+df = Excel().load_excelsheet(filepath='filedir/filename.xlsx', sheet_name='sheet_name')
+
+# convert dataframe to excel sheet:
+Excel().to_excel(data=df, filepath='filedir/filename.xlsx', sheet_name='sheet_name')
 ```
 
+
 ## Connecting to gsheet
 ```py
 # import the module:
-from dbsconnector import databases
+from dbsconnector.databases import GSheet
+
 # load the data:
-df = databases.load_gsheet(gsheet_id='17r9f4BL7sjmdLBnt92OdQP3CHK5bdT3hozg6DUJXGqU',sheet_name='sample_sheet')
-# display the data:
-df
+df = GSheet().load_gsheet(gsheet_id='17r9f4BL7sjmdLBnt92OdQP3CHK5bdT3hozg6DUJXGqU',sheet_name='sample_sheet')
 ```
 
+
 ## Connecting to MongoDB
 ```py
 # import the module:
-from dbsconnector import databases
-# load the data:
-df = databases.load_mongodbdata(host='localhost', database='sample_database', collection='sample_collection')
-# display the data:
-df
+from dbsconnector.databases import MongoDB
+
+# load data from mongodb:
+df = MongoDB(host_url="mongodb://localhost:27017").load_data(database="database_name", collection_name="collection_name")
+
+# upload data to mongodb:
+MongoDB(host_url="mongodb://localhost:27017").upload_data(database="database_name", collection_name="collection_name", data=df)
+
+# upload any kind of objects (preprocessor object or ML model object) to mongodb:
+MongoDB(host_url="mongodb://localhost:27017").upload_object(database="database_name", collection_name="collection_name", object_name="preprocessor_object", object_=preprocessor)
+
+# loading object from mongodb:
+pre_obj = MongoDB(host_url="mongodb://localhost:27017").load_object(database="database_name", collection_name="collection_name", object_name="preprocessor_object")
 ```
 
+
 # Contributions
 * Contributions are welcome! Please open an issue or submit a pull request on GitHub for adding new features, fixing bugs, or improving documentation. Open-source collaboration is highly encouraged!
 

setup.py

@@ -7,7 +7,7 @@
 # setup:
 # basic info:
 PKG_NAME = 'dbsconnector'
-__version__ = '1.1'
+__version__ = '1.2'
 AUTHOR_USER_NAME = 'yuvaneshkm'
 AUTHOR_EMAIL = 'yuvaneshkm05@gmail.com'
 REPO_NAME = 'dbsconnector'