Xlrd common operations

0. introduction

When I was working on the project in the early stage , Use of third parties python library openpyxl To read excel file , But when the amount of data is very large , Code execution time is very slow . Based on this , I refer to the relevant information , Discover the use of xlrd Can be greatly improved Python Read excel The efficiency of .

1. xlrd and xlwt Package installation

pip install xlrd
pip install xlwt

2. xlrd Package usage

#  Guide pack 
import xlrd

#  Data files 
data_file = '../ data / Basic data of track circuit 1.xlsx'

#  The main function 
if __name__ == "__main__":

  ''' 1.  Open file  '''
  wb = xlrd.open_workbook(data_file)
  print("==========================================================================")
  ''' 2.  obtain sheet object  '''
  print("\n++++++++++++++++++++++++ 2.  obtain sheet object  ++++++++++++++++++++++++\n")

  # 1.  Get all sheet name 
  sheet_names = wb.sheet_names()
  print("sheet_names:", sheet_names)
  # 2.  obtain sheet Number 
  sheet_number = wb.nsheets
  print("sheet_number:", sheet_names)
  # 3.  Get all sheet object 
  sheet_objct = wb.sheets()
  print(sheet_objct)
  # 4.  adopt sheet Name search 
  sheet_by_name = wb.sheet_by_name(" Basic data ")
  print("sheet_by_name:", sheet_by_name)
  # 5.  Search by index ( from 0 Start )
  sheet_by_index = wb.sheet_by_index(0)
  print("sheet_by_index:", sheet_by_index)
  print("==========================================================================")

  ''' 3.  obtain sheet The aggregate data of  '''
  print("\n++++++++++++++++++++++++ 3.  obtain sheet The aggregate data of  ++++++++++++++++++++++++\n")

  sheet = wb.sheet_by_index(0)
  # 1.  obtain sheet name 
  sheet_name = sheet.name
  print("sheet_name:", sheet_name)
  # 2.  obtain sheet The total number of columns 
  num_cols = sheet.ncols
  print("num_cols:", num_cols)
  # 3.  obtain sheet Total number of lines 
  num_rows = sheet.nrows
  print("num_rows:", num_rows)
  print("==========================================================================")

  ''' 4.  Cell batch reading  '''
  # a. Line operation 
  print("\n++++++++++++++++++++++++ 4.  Cell batch reading  ——  Line operation  ++++++++++++++++++++++++\n")
  # 1.  Get everything in the first line 
  row_1_values = sheet.row_values(0)
  print(" All contents in the first line :",row_1_values)
  # 2.  Get cell value type and content 
  row_1 = sheet.row(0)
  print(" Cell value type and content :",row_1)
  # 3.  Get cell data type 
  row_1_type = sheet.row_types(0)
  print(" Get cell data type :",row_1_type)
  print("==========================================================================")
  # b.  Table operations 
  print("\n++++++++++++++++++++++++ 4.  Cell batch reading  ——  Table operations  ++++++++++++++++++++++++\n")
  # 1.  Take the first place 1 That's ok , The first 6~10 Column 
  result1 = sheet.row_values(0, 6, 10)
  print(" The first 1 That's ok , The first 6~10 Column :", result1)
  # 2.  Take the first column , The first 0~5 That's ok 
  result2 = sheet.col_values(0, 0, 5)
  print(" First column , The first 0~5 That's ok :", result2)
  # 3.  Get cell value type and content 
  result3 = sheet.row_slice(2, 0, 2)
  print(" Cell value type and content :", result3)
  # 4.  Get cell data type 
  result4 = sheet.row_types(1, 0, 2)
  print(" Cell data type :", result4)
  print("==========================================================================")

  ''' 5.  Specific cell read  '''
  # a. Get cell values 
  print("\n++++++++++++++++++++++++ 5.  Specific cell read  ——  Get cell values  ++++++++++++++++++++++++\n")
  result1 = sheet.cell_value(1, 2)
  print("sheet.cell_value(1, 2):", result1)
  result2 = sheet.cell(1,2).value
  print("sheet.cell(1,2).value:", result2)
  result3 = sheet.row(1)[2].value
  print("sheet.row(1)[2].value:", result3)
  print("==========================================================================")
  # b. Get cell type 
  print("\n++++++++++++++++++++++++ 5.  Specific cell read  ——  Get cell type  ++++++++++++++++++++++++\n")
  result1 = sheet.cell(1,2).ctype
  print("sheet.cell(1,2).ctype:", result1)
  result2 = sheet.cell_type(1,2)
  print("sheet.cell_type(1,2):", result2)
  result3 = sheet.row(1)[2].ctype
  print("sheet.row(1)[2].ctype:", result3)

  ''' 6.  Some common transformations  '''
  print("\n++++++++++++++++++++++++ 6.  Some common transformations  ++++++++++++++++++++++++\n")
  # (0,0) convert to A1
  result1 = xlrd.cellname(0,0)
  print("(0,0) convert to A1:", result1)
  # (0,0) convert to $A$1
  result2 = xlrd.cellnameabs(0,0)
  print("(0,0) convert to $A$1:", result2)
  #  Convert columns from numbers to letters 
  result3 = xlrd.colname(40)
  print(" Convert columns from numbers to letters :xlrd.colname(40): ", result3)

2. Program run results