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                                                               How to read data from excel file in python xlrd
    xlrd xlrd is a library for reading data and formatting information from Excel files in the historical .xls format. Warning This library will no longer read anything other than .xls files. For alternatives that read newer file formats, please see . The following are also not supported but will safely and reliably be ignored: Charts, Macros, Pictures, any
    other embedded object, including embedded worksheets. VBA modules Formulas, but results of formula calculations are extracted. Comments Hyperlinks Autofilters, advanced filters, pivot tables, conditional formatting, data validation Password-protected files are not supported and cannot be read by this library. Quick start: import xlrd
    book = xlrd.open_workbook("myfile.xls") print("The number of worksheets is {0}".format(book.nsheets)) print("Worksheet name(s): {0}".format(book.sheet_names())) sh = book.sheet_by_index(0) print("{0} {1} {2}".format(sh.name, sh.nrows, sh.ncols)) print("Cell D30 is {0}".format(sh.cell_value(rowx=29, colx=3))) for rx in range(sh.nrows):
    print(sh.row(rx)) From the command line, this will show the first, second and last rows of each sheet in each file: python PYDIR/scripts/runxlrd.py 3rows *blah*.xls You may also wish to consult the tutorial. Details: For details of how to get involved in development of this package, and other meta-information, please see the sections below:
    Development Changes Acknowledgements Licenses Index Module Index Search Page © Copyright 2005-2019 Stephen John Machin, Lingfo Pty Ltd. 2019-2020 Chris Withers Revision f45f6304. Built with Sphinx using a theme provided by Read the Docs. Python xlrd library is to extract data from Microsoft Excel (tm) spreadsheet files.
    Installation:- pip install xlrd Or you can use setup.py file from pypi Reading an excel sheet:- Import xlrd module and open excel file using open_workbook() method. import xlrd book=xlrd.open_workbook('sample.xlsx') Check number of sheets in the excel print book.nsheets Print the sheet names print book.sheet_names() Get the sheet
    based on index sheet=book.sheet_by_index(1) Read the contents of a cell cell = sheet.cell(row,col) #where row=row number and col=column number print cell.value #to print the cell contents Get number of rows and number of columns in an excel sheet num_rows=sheet.nrows num_col=sheet.ncols Get excel sheet by name sheets =
    book.sheet_names() cur_sheet = book.sheet_by_name(sheets[0]) PDF - Download Python Language for free Every 6-8 months, when I need to use the python xlrd library, I end up re-finding this page: Examples Reading Excel (.xls) Documents Using Python’s xlrd In this case, I’ve finally bookmarked it:) from __future__ import
    print_function from os.path import join, dirname, abspath import xlrd fname = join(dirname(dirname(abspath(__file__))), 'test_data', 'Cad Data Mar 2014.xlsx') # Open the workbook xl_workbook = xlrd.open_workbook(fname) # List sheet names, and pull a sheet by name # sheet_names = xl_workbook.sheet_names() print('Sheet Names',
    sheet_names) xl_sheet = xl_workbook.sheet_by_name(sheet_names[0]) # Or grab the first sheet by index # (sheets are zero-indexed) # xl_sheet = xl_workbook.sheet_by_index(0) print ('Sheet name: %s' % xl_sheet.name) # Pull the first row by index # (rows/columns are also zero-indexed) # row = xl_sheet.row(0) # 1st row # Print 1st
    row values and types # from xlrd.sheet import ctype_text print('(Column #) type:value') for idx, cell_obj in enumerate(row): cell_type_str = ctype_text.get(cell_obj.ctype, 'unknown type') print('(%s) %s %s' % (idx, cell_type_str, cell_obj.value)) # Print all values, iterating through rows and columns # num_cols = xl_sheet.ncols # Number of
    columns for row_idx in range(0, xl_sheet.nrows): # Iterate through rows print ('-'*40) print ('Row: %s' % row_idx) # Print row number for col_idx in range(0, num_cols): # Iterate through columns cell_obj = xl_sheet.cell(row_idx, col_idx) # Get cell object by row, col print ('Column: [%s] cell_obj: [%s]' % (col_idx, cell_obj)) Interact and pull data
    from a selected column. (This could be done with 1/5 of the code in pandas, etc.) Code example from __future__ import print_function from os.path import join, dirname, abspath, isfile from collections import Counter import xlrd from xlrd.sheet import ctype_text def get_excel_sheet_object(fname, idx=0): if not isfile(fname): print ('File
    doesn't exist: ', fname) # Open the workbook and 1st sheet xl_workbook = xlrd.open_workbook(fname) xl_sheet = xl_workbook.sheet_by_index(0) print (40 * '-' + 'nRetrieved worksheet: %s' % xl_sheet.name) return xl_sheet def show_column_names(xl_sheet): row = xl_sheet.row(0) # 1st row print(60*'-' + 'n(Column #) value [type]n' + 60*'-
    ') for idx, cell_obj in enumerate(row): cell_type_str = ctype_text.get(cell_obj.ctype, 'unknown type') print('(%s) %s [%s]' % (idx, cell_obj.value, cell_type_str, )) def get_column_stats(xl_sheet, col_idx): """ :param xl_sheet: Sheet object from Excel Workbook, extracted using xlrd :param col_idx: zero-indexed int indicating a column in the Excel
    workbook """ if xl_sheet is None: print ('xl_sheet is None') return if not col_idx.isdigit(): print ('Please enter a valid column number (0-%d)' % (xl_sheet.ncols-1)) return col_idx = int(col_idx) if col_idx < 0 or col_idx >= xl_sheet.ncols: print ('Please enter a valid column number (0-%d)' % (xl_sheet.ncols-1)) return # Iterate through rows, and
    print out the column values row_vals = [] for row_idx in range(0, xl_sheet.nrows): cell_obj = xl_sheet.cell(row_idx, col_idx) cell_type_str = ctype_text.get(cell_obj.ctype, 'unknown type') print ('(row %s) %s (type:%s)' % (row_idx, cell_obj.value, cell_type_str)) row_vals.append(cell_obj.value) # Retrieve non-empty rows nonempty_row_vals =
    [x for x in row_vals if x] num_rows_missing_vals = xl_sheet.nrows - len(nonempty_row_vals) print ('Vals: %d; Rows Missing Vals: %d' % (len(nonempty_row_vals), num_rows_missing_vals)) # Count occurrences of values counts = Counter(nonempty_row_vals) # Display value counts print ('-'*40 + 'n', 'Top Twenty Values', 'n' + '-'*40 ) print
    ('Value [count]') for val, cnt in counts.most_common(20): print ('%s [%s]' % (val, cnt)) def column_picker(xl_sheet): try: input = raw_input except NameError: pass while True: show_column_names(xl_sheet) col_idx = input("nPlease enter a column number between 0 and %d (or 'x' to Exit): " % (xl_sheet.ncols-1)) if col_idx == 'x': break
    get_column_stats(xl_sheet, col_idx) if __name__=='__main__': excel_crime_data = join(dirname(dirname(abspath(__file__))), 'test_data', 'Cad Data Mar 2014.xlsx') xl_sheet = get_excel_sheet_object(excel_crime_data) column_picker(xl_sheet) Python xlrd is a very useful library when you are dealing with some older version of the excel
    files (.xls). In this tutorial, I will share with you how to use this library to read data from .xls file. Let’s get started with xlrd You will need to install this library with below pip command: and import the library to your source code: To open your excel file, you will need to pass in the full path of your file into the open_workbook function.It returns
    the workbook object, and in the next line you will be able to access the sheet in the opened workbook. workbook = xlrd.open_workbook(r"c:\test.xls") There are multiple ways for doing it, you can access by sheet name, sheet index, or loop through all the sheets sheet = workbook.sheet_by_name("Sheet") #getting the first sheet sheet_1 =
    workbook.sheet_by_index(0) for sh in workbook.sheets(): print(sh.name) To get the number of rows and columns in the sheet, you can access the following attributes. By default, all the rows are padded out with empty cells to make them same size, but in case you want to ignore the empty columns at the end, you may consider
    ragged_rows parameter when you call the open_workbook function. row_count = sheet.nrows col_count = sheet.ncols # use sheet.row_len() to get the effective column length when you set ragged_rows = True With number of rows and columns, you will be able to access the data of each of the cells for cur_row in range(0, row_count): for
    cur_col in range(0, col_count): cell = sheet.cell(cur_row, cur_col) print(cell.value, cell.ctype) Instead of accessing the data cell by cell, you can also access it by row or by column, e.g. assume your first row is the column header, you can get all the headers into a list as below: header = sheet.row_values(0, start_colx=0, end_colx=None) #
    row_slice returns the cell object(both data type and value) in case you also need to check the data type #row_1 = sheet.row_slice(1, start_colx=0, end_colx=None) Get the whole column values into a list: col_a = sheet.col_values(0, start_rowx=0, end_rowx=None) # col_slice returns the cell object of the specified range col_a =
    sheet.col_slice(0, start_rowx=0, end_rowx=None) There is a quite common error when handling the xls files, please check this article for fixing the CompDocError. Conclusion xlrd is a clean and easy to use library for handling xls files, but unfortunately there is no active maintenance for this library as Excel already evolved to xlsx format.
    There are other libraries such as openpyxl which can handle xlsx files very well for both data and cell formatting. I would suggest you to use xlsx file format in your new project whenever possible, so that more active libraries are supported. If you would like to understand more about openpyxl , please read my next article about this library.
    As per always, welcome to any comments or questions. Thanks.
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