openpyxl python - 将csv写入excel会给出“格式化为文本的数字”

时间:2014-07-26 13:34:26

标签: python excel python-2.7 csv openpyxl

我编写了一个代码,通过openpyxl将.csv文件(包含数字)导入excel文件。但是,它可以工作,所有单元格都将数字写入excel文件作为文本。然后我必须手动纠正excel中的错误:“格式化为文本的数字(在单元格的角落显示小绿色三角形)。

有没有办法防止这种情况发生?它出现在任何csv文件中,即使我只使用数字。感谢

#!python2
# Add csv file to an xlsx

import os, csv, sys, openpyxl
from openpyxl import load_workbook
from openpyxl import Workbook
from openpyxl.cell import get_column_letter


#Open an xlsx for reading
wb = load_workbook('Test.xlsx')
ws = wb.get_sheet_by_name("RUN")

dest_filename = "Test_NEW.xlsx"
csv_filename = "csvfile.csv"

#Copy in csv
f = open(csv_filename)
reader = csv.reader(f)
for row_index, row in enumerate(reader):
    for column_index, cell in enumerate(row):
        column_letter = get_column_letter((column_index + 1))
        ws.cell('%s%s'%(column_letter, (row_index + 1))).value = cell


wb.save(filename = dest_filename)

print "new Cashflow created"

***** *** UPDATE

谢谢,这有帮助。我的问题是我的csv文件混合了文本和数字,没有任何定义引号。所以我实现了下面的内容,只要没有错误就将它从字符串更改为float。

#Copy in csv
f = open(csv_filename,'rb')
reader = csv.reader(f)
for row_index, row in enumerate(reader):
for column_index, cell in enumerate(row):
    column_letter = get_column_letter((column_index + 1))
    s = cell
    try:
        s=float(s)
    except ValueError:
        pass

    ws.cell('%s%s'%(column_letter, (row_index + 1))).value = s

2 个答案:

答案 0 :(得分:4)

您需要将CSV文件中的值转换为您需要的值。 CSV文件中的所有值都是字符串。 ws.cell('%s%s'%(column_letter, (row_index + 1))).value = int(cell)应该这样做。

顺便说一句。您可能希望查看ws.append()方法。

答案 1 :(得分:0)

这是谷歌的第一个结果,我花了更多的时间来承认这方面的工作。我希望它能帮助将来的某个人。

def csvtoxlsx(csv_name, xlsx_name, directory, floats):
    """
    A function to convert a CSV file to XLSX so it can be used by openpyxl.
    csvname = file name of csv you want to convert (include .csv)
    xlsx_name = name you want to name the xlsx file (include .xlsx)
    cwd = directory to find csv file (can pass os.getcwd())
    floats = A list of column indexes in which floats appear
    """

    os.chdir(directory)

    f = open(csv_name, 'rt')
    csv.register_dialect('commas', delimiter=',')
    reader = csv.reader(f, dialect='commas')
    wb = Workbook()
    dest_filename = xlsx_name
    ws = wb.worksheets[0]
    ws.title = xlsx_name[:-5]

    for row_index, row in enumerate(reader):
        for column_index, cell in enumerate(row):

            column_letter = get_column_letter((column_index + 1))

            if column_index in floats:
                s = cell
                #Handles heading row or non floats
                try:
                    s = float(s)
                    ws[('%s%s'%(column_letter, (row_index + 1)))].value = s

                except ValueError:
                    ws[('%s%s'%(column_letter, (row_index + 1)))].value = s

            elif column_index not in floats:
                #Handles openpyxl 'illigal chars'
                try:
                    ws[('%s%s'%(column_letter, (row_index + 1)))].value = cell

                except:
                    ws[('%s%s'%(column_letter, (row_index + 1)))].value = 'illigal char'



    wb.save(filename = dest_filename)