excel - Pandas :to_excel() float_format

Question

我试图让 float_format 参数与 pandas 的 to_excel() 函数一起使用，但它似乎没有做任何事情。

代码:

df = pd.DataFrame({
        'date':['1/15/2016','2/1/2016','2/15/2016','3/15/2016'],
        'numA':[1000,2000,3000,4000.3],
        'numB':[10000,20000.2,30000,40000]
    })

writer = pd.ExcelWriter('c:/.../pandas_excel_test.xlsx', engine = 'xlsxwriter')

print df.dtypes

df.to_excel(writer, 
        index = False,
        float_format = '%.2f',
    )

但 Excel 文件如下所示:

我确认数据类型为:

date     object
numA    float64
numB    float64
dtype: object

有人知道如何在to_excel()中正确设置 float 格式吗？

Answer 1

我相信 Excel 格式会改变 float 的显示方式。我尝试了 to_csv 方法，并且 float_format 有效。对于 Excel，告诉 Excel 如何显示列有帮助:

df = pd.DataFrame({
        'date':['1/15/2016','2/1/2016','2/15/2016','3/15/2016'],
        'numA':[1000,2000,3000,4000.3],
        'numB':[10000,20000.2,30000,40000]
    })

writer = pd.ExcelWriter('c:/.../pandas_excel_test.xlsx', engine = 'xlsxwriter')
df.to_excel(writer, index=False, sheet_name='Sheet1')
workbook  = writer.book
worksheet = writer.sheets['Sheet1']
format1 = workbook.add_format({'num_format': '0.00'})
worksheet.set_column('C:C', None, format1)  # Adds formatting to column C
writer.save()

结果:

更多信息:http://xlsxwriter.readthedocs.io/example_pandas_column_formats.html