CODEWITHSUNDEEP
pythonexcelpandasxlwings
CrashLandon
CrashLandon

Reputation: 161

Read Excel Table headers with xlwings

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)

Upvotes: 4

Views: 6977

Answers (3)

Robert
Robert

Reputation: 1631

Let me add the comment by Felix Zumstein as explicit answer, because in my opinion it is the best solution.

df = b.sheets['Sheet1'].range('Table1[[#All]]').options(pd.DataFrame).value

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.

Upvotes: 1

Jayme Gordon
Jayme Gordon

Reputation: 607

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

Upvotes: 1

CrashLandon
CrashLandon

Reputation: 161

Hoping this is not the best answer, but I did find I could reference the named range, then .offset(-1).expand('vertical')

Upvotes: 2

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