I am able to import data of rows in a particular column of certain sheet name in to a python list. But, the list is looking like Key:Value
formatted list (not the one I need).
Here is my code:
import xlrd
excelList = []
def xcel(path):
book = xlrd.open_workbook(path)
impacted_files = book.sheet_by_index(2)
for row_index in range(2, impacted_files.nrows):
#if impacted_files.row_values(row_index) == 'LCR':
excelList.append(impacted_files.cell(row_index, 1))
print(excelList)
if __name__ == "__main__":
xcel(path)
The output is like below:
[text:'LCR_ContractualOutflowsMaster.aspx', text:'LCR_CountryMaster.aspx', text:'LCR_CountryMasterChecker.aspx', text:'LCR_EntityMaster.aspx', text:'LCR_EntityMasterChecker.aspx', text:'LCR_EscalationMatrixMaster.aspx',....]
I want the list to have just values. Like this...
['LCR_ContractualOutflowsMaster.aspx', 'LCR_CountryMaster.aspx', 'LCR_CountryMasterChecker.aspx', 'LCR_EntityMaster.aspx', 'LCR_EntityMasterChecker.aspx', 'LCR_EscalationMatrixMaster.aspx',...]
I've tried pandas too ( df.value.tolist()
method). Yet the output is not what I visualize.
Please suggest a way.
Regards
You are accumulating a list of cells, and what you are seeing is the repr
of each cell in your list. Cell objects have three attributes: ctype
is an int that identifies the type of the cell's value, value
(which which is a Python rtype holding the cell's value) and xf_index. If you want only the values then try
excelList.append(impacted_files.cell(row_index, 1).value)
You can read more about cells in the documentation .
If you are willing to try one more library, openpyxl
this is how it can be done.
from openpyxl import load_workbook
book = load_workbook(path)
sh = book.worksheets[0]
print([cell.value for cell in row for row in sheet.iter_rows()] )
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