与熊猫进行比较，并根据结果更改字体

Question

如果单元格的值小于08:00:00，则需要更改其颜色，它适用于整数，但不适用于字符串

import xlsxwriter

workbook = xlsxwriter.Workbook('test.xlsx')
worksheet1 = workbook.add_worksheet()


# Add a format. Light red fill with dark red text.
format1 = workbook.add_format({'bg_color': '#FFC7CE',
                               'font_color': '#9C0006'})

# Add a format. Green fill with dark green text.
format2 = workbook.add_format({'bg_color': '#C6EFCE',
                               'font_color': '#006100'})


import pandas as pd

data= pd.DataFrame({'Time':['07:02:07', '15:16:55', '15:17:20', '15:28:58','15:32:28','15:38:54'],
 'Payload':['[0]->[1]', '[1]->[0]','[0]->[1]','[0]->[1]','[1]->[0]','[0]->[1]']})

caption = ('Cells with values >= 08:00:00 are in light red. '
           'Values < 50 are in light green.')

# Write the data.
worksheet1.write('A1', caption)

for row, row_data in enumerate(data):
    worksheet1.write_row(row + 2, 1, row_data)

if len (data) >0:    
    for i in range (len(data)):

        worksheet1.write('D'+str(i+5),(data['Time'].iloc[i]))
        worksheet1.write('E'+str(i+5),(data['Payload'].iloc[i]))




# Write a conditional format over a range.
worksheet1.conditional_format('D5:D12', {'type': 'cell',
                                         'criteria': '>=',
                                         'value': '08:00:00',
                                         'format': format1})

workbook.close()

上面的代码只是一个示例，在我的原始代码中，时间是先前计算的结果。

Answer 1

代码中有很多问题，但主要的问题是像'07：02：07'这样的值是字符串，而不是日期/时间。

为了使它们在Excel中作为时间工作，需要将它们转换为日期时间对象。之后，该程序应工作。这是一些修复的示例：

import xlsxwriter
import datetime

workbook = xlsxwriter.Workbook('test4.xlsx')
worksheet1 = workbook.add_worksheet()


# Add a format. Light red fill with dark red text.
format1 = workbook.add_format({'bg_color': '#FFC7CE',
                               'font_color': '#9C0006'})

# Add a format. Green fill with dark green text.
format2 = workbook.add_format({'bg_color': '#C6EFCE',
                               'font_color': '#006100'})


import pandas as pd

data= pd.DataFrame({'Time': [datetime.time(7, 2, 7), datetime.time(15 ,16, 55), 
                             datetime.time(15 ,17, 20), datetime.time(15 ,28, 58), 
                             datetime.time(15 ,32, 28), datetime.time(15 ,38, 54)],
                    'Payload': ['[0]->[1]', '[1]->[0]','[0]->[1]',
                                '[0]->[1]','[1]->[0]','[0]->[1]']})

caption = ('Cells with values >= 08:00:00 are in light red. '
           'Values < 50 are in light green.')

# Write the data.
worksheet1.write('A1', caption)

for row, row_data in enumerate(data):
    worksheet1.write(row + 2, 1, row_data)

time_format = workbook.add_format({'num_format': 'hh:mm::ss'})

if len (data) >0:    
    for i in range (len(data)):

        worksheet1.write('D'+str(i+5),(data['Time'].iloc[i]), time_format)
        worksheet1.write('E'+str(i+5),(data['Payload'].iloc[i]))




# Write a conditional format over a range.
worksheet1.conditional_format('D5:D12', {'type': 'date',
                                         'criteria': '>=',
                                         'value':  datetime.time(8, 0, 0),
                                         'format': format1})

workbook.close()

输出：