我希望在从 Pandas 数据帧写入 Excel 时设置默认数字格式。这可能吗?
我可以使用以下命令设置默认日期/日期时间格式,但找不到设置默认数字格式的方法。
writer = pd.ExcelWriter(f'{file_variable}.xlsx', engine='xlsxwriter',datetime_format='MM/DD/YYYY')
否则,我假设我必须将工作表分配给变量并循环遍历指定列的行以设置数字格式。
我得到的格式浮点数到小数点后一位。
data = {'A Prime': {0: 3.26, 1: 3.24, 2: 3.22, 3: 3.2, 4: 3.18, 5: 3.16,
6: 3.14, 7: 1.52, 8: 1.5, 9: 1.48, 10: 1.46, 11: 1.44, 12: 1.42},
'B': {0: 0.16608, 1: 0.16575, 2: 0.1654, 3: 0.16505999999999998, 4: 0.1647, 5: 0.16434, 6: 0.16398, 7: 0.10759, 8: 0.10687, 9: 0.10614000000000001,
10: 0.10540999999999999, 11: 0.10469, 12: 0.10396}, 'Proto Name': {0: 'Alpha',
1: 'Alpha', 2: 'Alpha', 3: 'Alpha', 4: 'Alpha', 5: 'Alpha', 6: 'Alpha', 7: 'Bravo', 8: 'Bravo', 9: 'Bravo', 10: 'Bravo', 11: 'Bravo', 12: 'Bravo'}}
import pandas as pd
df = pd.DataFrame(data)
A Prime B Proto Name
0 3.26 0.16608 Alpha
1 3.24 0.16575 Alpha
2 3.22 0.16540 Alpha
3 3.20 0.16506 Alpha
4 3.18 0.16470 Alpha
5 3.16 0.16434 Alpha
6 3.14 0.16398 Alpha
7 1.52 0.10759 Bravo
8 1.50 0.10687 Bravo
9 1.48 0.10614 Bravo
10 1.46 0.10541 Bravo
11 1.44 0.10469 Bravo
12 1.42 0.10396 Bravo
writer = pd.ExcelWriter(r'c:\temp\output.xlsx')
# This method will truncate the data past the first decimal point
df.to_excel(writer,'Sheet1',float_format = "%0.1f")
writer.save()
但是,唉,也许并不是所有情况 - 对于更大的数字和千位分隔符来说没有乐趣
df.to_excel(writer,'Sheet1',float_format = ":,")
但是以下似乎有效
data = {'A Prime': {0: 326000, 1: 3240000}}
df = pd.DataFrame(data)
A Prime
0 326000
1 3240000
writer = pd.ExcelWriter(r'c:\temp\output.xlsx')
df.to_excel(writer,'Sheet1')
workbook = writer.book
worksheet = writer.sheets['Sheet1']
format1 = workbook.add_format({'num_format': '#,##0.00'})
worksheet.set_column('B:B', 18, format1)
#Alternatively, you could specify a range of columns with 'B:D' and 18 sets the column width
writer.close()
全部取自这里:http://xlsxwriter.readthedocs.io/working_with_pandas.html
对于它的价值,因为问题也被标记为 openpyxl,您还可以在 openpyxl 中编辑整个工作簿的默认样式。这对于数字格式可能有意义,但如果更改字体大小等内容,可能会产生意想不到的后果,因为其他 GUI 元素会受到影响。如果谨慎使用,以下方法应该有效。
wb._named_styles['Normal'].number_format = '#,##0.00'