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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 we'll use this LAS file as an example
Step1:  Now use the ExcelConverter object to produce an Excel spreadsheet
Step2:  we can import this spreadsheet back into Python directly using pandas
Step3:  The spreadsheet has two sheets, one called "Header" with the header information from each section
Step4:  and another called "Curves" containing the data itself
Step5:  If you want to further modify the openpyxl.Workbook object, you can access it like so
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Python Code:
print las._text
Explanation: we'll use this LAS file as an example:
End of explanation
lasio.ExcelConverter(las).write('example.xlsx')
Explanation: Now use the ExcelConverter object to produce an Excel spreadsheet:
End of explanation
import pandas
Explanation: we can import this spreadsheet back into Python directly using pandas:
End of explanation
xls_header_sheet = pandas.read_excel('example.xlsx', sheetname='Header')
xls_header_sheet
Explanation: The spreadsheet has two sheets, one called "Header" with the header information from each section:
End of explanation
xls_data_sheet = pandas.read_excel('example.xlsx', sheetname='Curves')
xls_data_sheet
Explanation: and another called "Curves" containing the data itself:
End of explanation
converter = lasio.ExcelConverter(las)
type(converter.workbook)
Explanation: If you want to further modify the openpyxl.Workbook object, you can access it like so:
End of explanation
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