How to use 'read_xlsx pandas' in Python

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11def fromxlsx(filename, sheet=None, range_string=None, min_row=None,
12 min_col=None, max_row=None, max_col=None, read_only=False,
13 **kwargs):
14 """
15 Extract a table from a sheet in an Excel .xlsx file.
16
17 N.B., the sheet name is case sensitive.
18
19 The `sheet` argument can be omitted, in which case the first sheet in
20 the workbook is used by default.
21
22 The `range_string` argument can be used to provide a range string
23 specifying a range of cells to extract.
24
25 The `min_row`, `min_col`, `max_row` and `max_col` arguments can be
26 used to limit the range of cells to extract. They will be ignored
27 if `range_string` is provided.
28
29 The `read_only` argument determines how openpyxl returns the loaded
30 workbook. Default is `False` as it prevents some LibreOffice files
31 from getting truncated at 65536 rows. `True` should be faster if the
32 file use is read-only and the files are made with Microsoft Excel.
33
34 Any other keyword arguments are passed through to
35 :func:`openpyxl.load_workbook()`.
36
37 """
38
39 return XLSXView(filename, sheet=sheet, range_string=range_string,
40 min_row=min_row, min_col=min_col, max_row=max_row,
41 max_col=max_col, read_only=read_only, **kwargs)
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