列中的条件格式单元格基于它在另一列中的对应值
Conditional format cell in column based on it corresponding value in another column
我从数据框创建了一个 excel 文件,如下所示:
In [215]: import pandas as pd
In [216]: df = pd.DataFrame({"Name": ["A", "B", "C"], "Status": ['y', 'n', 'yy']})
In [217]: df
Out[217]:
Name Status
0 A y
1 B n
2 C yy
如何根据 Status
的值为 "Name" 设置 bg_color
?我尝试了几个选项都没有成功:
format1 = workbook.add_format({"bg_color": "#669731"})
format2 = workbook.add_format({"bg_color": "#FFFA22"})
format3 = workbook.add_format({"bg_color": "#A43829"})
选项 1
worksheet.conditional_format("A2",
{"type": "formula",
"criteria": "=ISNUMBER(SEARCH('y', B2))",
"format": format1
}
)
选项 2
worksheet.conditional_format("A2",
{"type": "formula",
"criteria": "=$B='y'",
"format": format1
}
)
None 给出了预期的结果,当我打开文件时,我收到一条错误消息:.xlsx 中的内容不可读
如果我能在不迭代数据帧的值的情况下以某种方式设置这样做也很好。
Excel 似乎不喜欢字符串条件格式的单引号。如果你在里面有双引号,它就有效,即
"criteria": '=($B="y")'
对比
"criteria": "=($B='y')"
我在下面放了一个完整的可重现示例和解决方案的屏幕截图。
import pandas as pd
df = pd.DataFrame({"Name": ["A", "B", "C"], "Status": ['y', 'n', 'yy']})
writer = pd.ExcelWriter('test.xlsx', engine='xlsxwriter')
df.to_excel(writer, sheet_name='Sheet1', index=False)
workbook = writer.book
worksheet = writer.sheets['Sheet1']
format1 = workbook.add_format({"bg_color": "#669731"})
worksheet.conditional_format("A2",
{"type": "formula",
"criteria": '=($B="y")',
"format": format1
}
)
workbook.close()
如果您想为列中 1000 个单元格的范围设置此条件格式,则可以使用条件格式的代码。
worksheet.conditional_format("A2:A1001",
{"type": "formula",
"criteria": '=(B2:B1001="y")',
"format": format1
}
)
另一方面,如果您想在一个范围内设置多个条件,我认为唯一可行的方法是使用 for 循环,用与条件匹配的格式写入每个单元格。我在下面提供了示例,它是预期的输出。请注意,这有点作弊,因为如果它满足三个条件中的任何一个,它就会覆盖已经放入单元格中的内容。
import pandas as pd
df = pd.DataFrame({"Name": ["A", "B", "C"], "Status": ['y', 'n', 'yy']})
writer = pd.ExcelWriter('test.xlsx', engine='xlsxwriter')
df.to_excel(writer, sheet_name='Sheet1', index=False)
workbook = writer.book
worksheet = writer.sheets['Sheet1']
format1 = workbook.add_format({"bg_color": "#669731"})
format2 = workbook.add_format({"bg_color": "#FFFA22"})
format3 = workbook.add_format({"bg_color": "#A43829"})
for i in range (0, len(df)):
if df['Status'].ix[i] == "y":
worksheet.write(i+1, 0, df['Name'].ix[i], format1)
elif df['Status'].ix[i] == "n":
worksheet.write(i+1, 0, df['Name'].ix[i], format2)
elif df['Status'].ix[i] == "yy":
worksheet.write(i+1, 0, df['Name'].ix[i], format3)
workbook.close()
我从数据框创建了一个 excel 文件,如下所示:
In [215]: import pandas as pd
In [216]: df = pd.DataFrame({"Name": ["A", "B", "C"], "Status": ['y', 'n', 'yy']})
In [217]: df
Out[217]:
Name Status
0 A y
1 B n
2 C yy
如何根据 Status
的值为 "Name" 设置 bg_color
?我尝试了几个选项都没有成功:
format1 = workbook.add_format({"bg_color": "#669731"})
format2 = workbook.add_format({"bg_color": "#FFFA22"})
format3 = workbook.add_format({"bg_color": "#A43829"})
选项 1
worksheet.conditional_format("A2",
{"type": "formula",
"criteria": "=ISNUMBER(SEARCH('y', B2))",
"format": format1
}
)
选项 2
worksheet.conditional_format("A2",
{"type": "formula",
"criteria": "=$B='y'",
"format": format1
}
)
None 给出了预期的结果,当我打开文件时,我收到一条错误消息:.xlsx 中的内容不可读
如果我能在不迭代数据帧的值的情况下以某种方式设置这样做也很好。
Excel 似乎不喜欢字符串条件格式的单引号。如果你在里面有双引号,它就有效,即
"criteria": '=($B="y")'
对比
"criteria": "=($B='y')"
我在下面放了一个完整的可重现示例和解决方案的屏幕截图。
import pandas as pd
df = pd.DataFrame({"Name": ["A", "B", "C"], "Status": ['y', 'n', 'yy']})
writer = pd.ExcelWriter('test.xlsx', engine='xlsxwriter')
df.to_excel(writer, sheet_name='Sheet1', index=False)
workbook = writer.book
worksheet = writer.sheets['Sheet1']
format1 = workbook.add_format({"bg_color": "#669731"})
worksheet.conditional_format("A2",
{"type": "formula",
"criteria": '=($B="y")',
"format": format1
}
)
workbook.close()
如果您想为列中 1000 个单元格的范围设置此条件格式,则可以使用条件格式的代码。
worksheet.conditional_format("A2:A1001",
{"type": "formula",
"criteria": '=(B2:B1001="y")',
"format": format1
}
)
另一方面,如果您想在一个范围内设置多个条件,我认为唯一可行的方法是使用 for 循环,用与条件匹配的格式写入每个单元格。我在下面提供了示例,它是预期的输出。请注意,这有点作弊,因为如果它满足三个条件中的任何一个,它就会覆盖已经放入单元格中的内容。
import pandas as pd
df = pd.DataFrame({"Name": ["A", "B", "C"], "Status": ['y', 'n', 'yy']})
writer = pd.ExcelWriter('test.xlsx', engine='xlsxwriter')
df.to_excel(writer, sheet_name='Sheet1', index=False)
workbook = writer.book
worksheet = writer.sheets['Sheet1']
format1 = workbook.add_format({"bg_color": "#669731"})
format2 = workbook.add_format({"bg_color": "#FFFA22"})
format3 = workbook.add_format({"bg_color": "#A43829"})
for i in range (0, len(df)):
if df['Status'].ix[i] == "y":
worksheet.write(i+1, 0, df['Name'].ix[i], format1)
elif df['Status'].ix[i] == "n":
worksheet.write(i+1, 0, df['Name'].ix[i], format2)
elif df['Status'].ix[i] == "yy":
worksheet.write(i+1, 0, df['Name'].ix[i], format3)
workbook.close()