我正在尝试使用xlsxwriter写出我的pandas表。我有两列:
Date | Time
10/10/2015 8:57
11/10/2015 10:23
但是当我使用xlsxwriter时,输出是:
Date | Time
10/10/2015 0.63575435
11/10/2015 0.33256774
我尝试使用datetime_format =' hh:mm:ss'但这并没有改变它。如何在不影响日期列的情况下正确格式化日期?
答案 0 :(得分:1)
以下代码适用于我,但有一些警告。如果自定义格式将起作用取决于您打开它的Windows / Excel版本。 Excel自定义格式取决于Windows操作系统的语言设置。
所以是的,不是最好的解决方案......但我们的想法是改变每列的格式,而不是改变如何解释正在创建的整个excel文件的数据类型。
import pandas as pd
from datetime import datetime, date
# Create a Pandas dataframe from some datetime data.
df = pd.DataFrame({'Date and time': [date(2015, 1, 1),
date(2015, 1, 2),
date(2015, 1, 3),
date(2015, 1, 4),
date(2015, 1, 5)],
'Time only': ["11:30:55",
"1:20:33",
"11:10:00",
"16:45:35",
"12:10:15"],
})
df['Time only'] = df['Time only'].apply(pd.to_timedelta)
#df['Date and time'] = df['Date and time'].apply(pd.to_datetime)
# Create a Pandas Excel writer using XlsxWriter as the engine.
# Also set the default datetime and date formats.
writer = pd.ExcelWriter("pandas_datetime.xlsx",
engine='xlsxwriter')
# Convert the dataframe to an XlsxWriter Excel object.
df.to_excel(writer, sheet_name='Sheet1')
# Get the xlsxwriter workbook and worksheet objects in order to set the column
# widths, to make the dates clearer.
workbook = writer.book
worksheet = writer.sheets['Sheet1']
#PLAY AROUND WITH THE NUM_FORMAT, IT DEPENDS ON YOUR WINDOWS AND EXCEL DATE/TIME SETTINGS WHAT WILL WORK
# Add some cell formats.
format1 = workbook.add_format({'num_format': 'd-mmm-yy'})
format2 = workbook.add_format({'num_format': "h:mm:ss"})
# Set the format
worksheet.set_column('B:B', None, format1)
worksheet.set_column('C:C', None, format2)
worksheet.set_column('B:C', 20)
# Close the Pandas Excel writer and output the Excel file.
writer.save()