的Python转换CSV到XLSX

Question

在this post有一个Python例如从CSV转换为XLS。

然而，我的文件已经超过65536行这样的xls不起作用。如果我将这个文件命名为xlsx，它并没有什么不同。是否有一个Python包可以转换为xlsx？

Answer 1

下面是一个使用xlsxwriter一个例子：

import os 
import glob 
import csv 
from xlsxwriter.workbook import Workbook 


for csvfile in glob.glob(os.path.join('.', '*.csv')): 
    workbook = Workbook(csvfile[:-4] + '.xlsx') 
    worksheet = workbook.add_worksheet() 
    with open(csvfile, 'rt', encoding='utf8') as f: 
     reader = csv.reader(f) 
     for r, row in enumerate(reader): 
      for c, col in enumerate(row): 
       worksheet.write(r, c, col) 
    workbook.close() 

仅供参考，还有一个叫openpyxl包，可以读/写的Excel 2007 XLSX/XLSM文件。

希望有所帮助。

Answer 2

随着我的图书馆pyexcel，你能做到在一个命令行：

from pyexcel.cookbook import merge_all_to_a_book 
import pyexcel.ext.xlsx # needed to support xlsx format, pip install pyexcel-xlsx 
import glob 


merge_all_to_a_book(glob.glob("your_csv_directory/*.csv"), "output.xlsx") 

每个CSV都会有自己的片材和名称将是他们的文件名。

Answer 3

如何与openpyxl lib中做到这一点：

import csv 
from openpyxl import Workbook 

def convert_csv_to_xlsx(self): 
    wb = Workbook() 
    sheet = wb.active 

    CSV_SEPARATOR = "#" 

    with open("my_file.csv" as f: 
     reader = csv.reader(f) 
     for r, row in enumerate(reader): 
      for c, col in enumerate(row): 
       for idx, val in enumerate(col.split(CSV_SEPARATOR)): 
        cell = sheet.cell(row=r+1, column=idx+1) 
        cell.value = val 

    wb.save("my_file.xlsx") 

Answer 4

from openpyxl import Workbook 
import csv 


wb = Workbook() 
ws = wb.active 
with open('test.csv', 'r') as f: 
    for row in csv.reader(f): 
     ws.append(row) 
wb.save('name.xlsx') 

Answer 5

有一个简单的方法

import os 
import csv 
import sys 

from openpyxl import Workbook 

reload(sys) 
sys.setdefaultencoding('utf8') 

if __name__ == '__main__': 
    workbook = Workbook() 
    worksheet = workbook.active 
    with open('input.csv', 'r') as f: 
     reader = csv.reader(f) 
     for r, row in enumerate(reader): 
      for c, col in enumerate(row): 
       for idx, val in enumerate(col.split(',')): 
        cell = worksheet.cell(row=r+1, column=c+1) 
        cell.value = val 
    workbook.save('output.xlsx') 

Answer 6

并称，只使用熊猫库中读取一个答案。 csv文件并保存为.xlsx文件。这个例子使用的pandas.read_csv（Link to docs）和pandas.dataframe.to_excel（Link to docs）。

完全重复的例子，使用numpy的只生成随机数，这样就可以，如果你想用你自己的.csv文件被删除。

import pandas as pd 
import numpy as np 

# Creating a dataframe and saving as test.csv in current directory 
df = pd.DataFrame(np.random.randn(100000, 3), columns=list('ABC')) 
df.to_csv('test.csv', index = False) 

# Reading in test.csv and saving as test.xlsx 

df_new = pd.read_csv('test.csv') 
writer = pd.ExcelWriter('test.xlsx') 
df_new.to_excel(writer, index = False) 
writer.save()