# xls_csv
把xls,xlsx格式的文档转换成csv格式
# 使用
python xls2csv.py
# -*- coding: utf-8 -*- import xlrd import xlwt import sys from datetime import date,datetime def read_excel(filename): workbook = xlrd.open_workbook(filename) # print sheet2.name,sheet2.nrows,sheet2.ncols sheet2 = workbook.sheet_by_index(0) for row in xrange(0, sheet2.nrows): rows = sheet2.row_values(row) def _tostr(cell): if type(u'') == type(cell): return "\"%s\"" % cell.encode('utf8') else: return "\"%s\"" % str(cell) print ','.join([_tostr(cell) for cell in rows ]) if __name__ == '__main__': filename = sys.argv[1] read_excel(filename)
再给大家分享一则代码
xlsx文件解析处理:openpyxl库 csv文件格式生成:csv
python#coding: utf-8 # 依赖openpyxl库:http://openpyxl.readthedocs.org/en/latest/ from openpyxl import Workbook from openpyxl.compat import range from openpyxl.cell import get_column_letter from openpyxl import load_workbook import csv import os import sys def xlsx2csv(filename): try: xlsx_file_reader = load_workbook(filename=filename) for sheet in xlsx_file_reader.get_sheet_names(): # 每个sheet输出到一个csv文件中,文件名用xlsx文件名和sheet名用'_'连接 csv_filename = '{xlsx}_{sheet}.csv'.format( xlsx=os.path.splitext(filename.replace(' ', '_'))[0], sheet=sheet.replace(' ', '_')) csv_file = file(csv_filename, 'wb') csv_file_writer = csv.writer(csv_file) sheet_ranges = xlsx_file_reader[sheet] for row in sheet_ranges.rows: row_container = [] for cell in row: if type(cell.value) == unicode: row_container.append(cell.value.encode('utf-8')) else: row_container.append(str(cell.value)) csv_file_writer.writerow(row_container) csv_file.close() except Exception as e: print(e) if __name__ == '__main__': if len(sys.argv) != 2: print('usage: xlsx2csv <xlsx file name>') else: xlsx2csv(sys.argv[1]) sys.exit(0)

ArraysinPython,especiallyviaNumPy,arecrucialinscientificcomputingfortheirefficiencyandversatility.1)Theyareusedfornumericaloperations,dataanalysis,andmachinelearning.2)NumPy'simplementationinCensuresfasteroperationsthanPythonlists.3)Arraysenablequick

You can manage different Python versions by using pyenv, venv and Anaconda. 1) Use pyenv to manage multiple Python versions: install pyenv, set global and local versions. 2) Use venv to create a virtual environment to isolate project dependencies. 3) Use Anaconda to manage Python versions in your data science project. 4) Keep the system Python for system-level tasks. Through these tools and strategies, you can effectively manage different versions of Python to ensure the smooth running of the project.

NumPyarrayshaveseveraladvantagesoverstandardPythonarrays:1)TheyaremuchfasterduetoC-basedimplementation,2)Theyaremorememory-efficient,especiallywithlargedatasets,and3)Theyofferoptimized,vectorizedfunctionsformathematicalandstatisticaloperations,making

The impact of homogeneity of arrays on performance is dual: 1) Homogeneity allows the compiler to optimize memory access and improve performance; 2) but limits type diversity, which may lead to inefficiency. In short, choosing the right data structure is crucial.

TocraftexecutablePythonscripts,followthesebestpractices:1)Addashebangline(#!/usr/bin/envpython3)tomakethescriptexecutable.2)Setpermissionswithchmod xyour_script.py.3)Organizewithacleardocstringanduseifname=="__main__":formainfunctionality.4

NumPyarraysarebetterfornumericaloperationsandmulti-dimensionaldata,whilethearraymoduleissuitableforbasic,memory-efficientarrays.1)NumPyexcelsinperformanceandfunctionalityforlargedatasetsandcomplexoperations.2)Thearraymoduleismorememory-efficientandfa

NumPyarraysarebetterforheavynumericalcomputing,whilethearraymoduleismoresuitableformemory-constrainedprojectswithsimpledatatypes.1)NumPyarraysofferversatilityandperformanceforlargedatasetsandcomplexoperations.2)Thearraymoduleislightweightandmemory-ef

ctypesallowscreatingandmanipulatingC-stylearraysinPython.1)UsectypestointerfacewithClibrariesforperformance.2)CreateC-stylearraysfornumericalcomputations.3)PassarraystoCfunctionsforefficientoperations.However,becautiousofmemorymanagement,performanceo


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Dreamweaver Mac version
Visual web development tools

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Dreamweaver CS6
Visual web development tools
