GoogleSheetPlot 0.0.7

GoogleSheetPlot is a python package allow the user to select a google sheet from their Google drive and plots a chart with the values on the sheet.

# GoogleSheetPlot This library helps a user to select a google sheet from their Google drive and plots a chart with the values on the sheet. The user only needs to select the column for the x-axis and the y-axis. <br> ## Install ` python pip install GoogleSheetPlot ` ## How to initialize Add the desired google sheet to the google drive then, get the last section the google drive link as Spreadsheet-ID. <br> Example - if google drive link is “https://docs.google.com/spreadsheets/d/1SrZfvr2ee54r7HR1jGtAE9zHIj_Y-UzK9ok8bdwkpqc/edit?usp=sharing”, then google SPREADSHEET_ID = “1SrZfvr2ee54r7HR1jGtAE9zHIj_Y-UzK9ok8bdwkpqc”. <br> Then the user needs to assign the range of the google sheet. <br> Example - RANGE_NAME = ‘A1:C80’

` python from GoogleSheetPlot import GoogleSheetPlot SAMPLE_SPREADSHEET_ID = '1SrZfvr2ee54r7HR1jGtAE9zHIj_Y-UzK9ok8bdwkpqc' SAMPLE_RANGE_NAME = 'A1:C80' gsp = GoogleSheetPlot() df = gsp.getDataFrame(SAMPLE_SPREADSHEET_ID, SAMPLE_RANGE_NAME) ` here “df” represents the accessed google sheet in dataframe format. <br> Please download the “credentials.json” file in your working repository by clicking the “Enable Google Sheets API” button by visiting the page [Turn on the Google Sheets API](https://developers.google.com/sheets/api/quickstart/python#step_1_turn_on_the). <br> ## Plot the graph Just give the valid column names(X and Y axis)with the type of plot you want to get. Your plot gets saved with the format “col1_col2_category.png”. ` python gsp.getPlot("average_sales", "offer_price","line") ` ## Example Please go through the Example.ipynb file in the Example folder.  ## Links - GitHub: https://github.com/victor369basu/GoogleSheetPlot - PyPI: https://pypi.org/project/GoogleSheetPlot/ - Documentation: https://github.com/victor369basu/GoogleSheetPlot/blob/master/README.md