Pandas-Consolidated-Loader 0.2

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This library can be used to consolidate the xl's from multiple sheets into single consolidated file.
These are the parameter that needs to be passed for the functions.

Prerequisites Libraries: pandas xlsxwriter openpyxl configparser

There are some basic rules need to be followed while configuring the property file.
    1 Important Points to be considered before execution.
    2 Please provide the path eg: D: /folder/excel path.
    3 Default HeaderColumnvaluesIndex will be considered as '0' if not provided.
    4 Please provide the Column name of index worksheet which contains all the worksheets name else default value for column will be       considered as WorkSheetNames.
    5 Recommended: Please provide column name in IndexSheet which stores Column header for consolidation. Else, please note the            column headers will be picked from one of the sheets randomly.
    6 Default HeaderForConsolworksheet will be considered as '0' if not provided.
    7 TransPoseConsolidationRow to be provided if any transpose consolidation needs to be done example 2,0,1 (2 represents number of       rows to limit , 0 represents first column ,1 represents 1st column for transpose).
    8 Default ExcelOutPath will be considered as ConSolidated.xlsx.

Example:     from Consoldation_utility import consolidateData
    consolidateData("/Users/username/Downloads/Xlsx_testing/test.xlsx", "Sheet 3",2,"Names","",3,"2,0,1","/Users/username/Downloads/Xlsx_testing/consolidated_testing.xlsx")
    Sheet1:

    Sheet2:

    Output:
        Consolidate sheet:
        
        Transposed sheet:
        

In next release will try to incorporate some database connection to load the consolidated data into DB.