How can I use xlwings to read a "table" in excel, into a pandas DataFrame, where the table "headers" become the DataFrame column names?
Every way I have tried to read the table, the header row is always excluded from the read!
Here is what I've tried, where "b" is my xlwings workbook object:
b.sheets['Sheet1'].range('Table1').options(pd.DataFrame)
b.sheets['Sheet1'].range('Table1').options(pd.DataFrame, headers=False)
b.sheets['Sheet1'].range('Table1').options(pd.DataFrame, headers=True)
希望这不是最好的答案,但我确实发现我可以引用命名范围,然后.offset(-1).expand('vertical')
Another option is to use the api and Excel's ListObject
import xlwings as xw
wb = xw.books.active
ws = wb.sheets('MySheet')
tbl = ws.api.ListObjects('MyTable') # or .ListObjects(1)
rng = ws.range(tbl.range.address) # get range from table address
df = rng.options(pd.DataFrame, header=True).value # load range to dataframe
Let me add the comment by Felix Zumstein as explicit answer, because in my opinion it is the best solution.
b.sheets['Sheet1'].range('Table1[[#All]]').options(pd.DataFrame)
Using the square bracket notation expands the selection from the table body to the header row as well. Subsequently the conversion to a pandas DataFrame, can use it as header.
To read more, check this answer .
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