I'm using openpyxl
package in Python(Canopy)
to use excel files. We have this tutorial in this link : LINK
you can also use the openpyxl.worksheet.Worksheet.iter_rows() method:
>>> tuple(ws.iter_rows('A1:C2'))
((<Cell Sheet1.A1>, <Cell Sheet1.B1>, <Cell Sheet1.C1>),
(<Cell Sheet1.A2>, <Cell Sheet1.B2>, <Cell Sheet1.C2>))
>>> for row in ws.iter_rows('A1:C2'):
... for cell in row:
... print cell
<Cell Sheet1.A1>
<Cell Sheet1.B1>
<Cell Sheet1.C1>
<Cell Sheet1.A2>
<Cell Sheet1.B2>
<Cell Sheet1.C2>
How we can import openpyxl.worksheet.Worksheet.iter_rows()
method in python? I used this code:
import openpyxl as op
ms = op.load_workbook('mtest.xlsx')
ws = ms.active
op.worksheet.Worksheet.iter_rows()
This code returns:
type object 'Worksheet' has no attribute 'iter_rows'
What is the problem?
As shown in the tutorial, you need to call the iter_rows
method on an instance of a worksheet, for example (for openpyxl 2.5.14 or earlier):
>>> for row in ws.iter_rows('A1:C2'):
... for cell in row:
... print cell
or
>>> for row in ws.iter_rows(min_row=1, max_col=3, max_row=2):
... for cell in row:
... print(cell)
<Cell Sheet1.A1>
<Cell Sheet1.B1>
<Cell Sheet1.C1>
<Cell Sheet1.A2>
<Cell Sheet1.B2>
<Cell Sheet1.C2>
As your error message states, you are calling it on the Worksheet
type, which won't work; it needs to be called on an object:
op.worksheet.Worksheet.iter_rows() # wrong
See also this example in another answer.
For older versions of openpyxl, you may need to ensure that you enable iterators when loading your workbook - see this thread. This isn't required for more recent versions.
Here's a complete example which I just tested in the Python REPL (with openpyxl 1.8.3):
>>> import openpyxl as op
>>> wb = op.load_workbook('/tmp/test.xlsx', use_iterators=True)
>>> ws = wb.active
>>> for row in ws.iter_rows():
... for cell in row:
... print cell
...
RawCell(row=1, column='A', coordinate='A1', internal_value=1.0, data_type='n', style_id='0', number_format='general')
RawCell(row=1, column='B', coordinate='B1', internal_value=10.0, data_type='n', style_id='0', number_format='general')
...