Python XLSX框架：如果列中有空白单元格，则高亮显示行

我有一个带T列的熊猫框架，它有一些空白单元格。我想突出显示所有包含空白单元格的行

我一直尝试使用.Frad，但它只突出空白单元格，而不是整行。

worksheet.conditional_format('A1:T18', {'type':'no_blank'
                                       'format':green_fmt}

)

预期：整行以浅绿色突出显示

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实际结果：只有空白单元被突出显示

如果空白值缺失，则使用具有自定义功能的大熊猫：

df = pd.DataFrame({'T':[np.nan, np.nan, 1, 5],
                   'A':range(4),
                   'B':list('abcd')})
print (df)
     T  A  B
0  NaN  0  a
1  NaN  1  b
2  1.0  2  c
3  5.0  3  d

def highlight(x):
    c = 'background-color: lime'

    df1 = pd.DataFrame('', index=x.index, columns=x.columns)
    m = x.isna().any(axis=1)
    df1 = df1.mask(m, c)
    return df1

df.style.apply(highlight, axis=None).to_excel('styled.xlsx', engine='openpyxl', index=False)

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1。构建一个函数，在找到NaN时突出显示行

2.dataframe.style.apply（函数名，axis=1）

这对我很有用：

import pandas as pd
import numpy as np
import xlsxwriter

# Create a test dataframe (borrowed by jezrael)
df = pd.DataFrame({'T':[np.nan, np.nan, 1, 5],
                   'A':range(4),
                   'B':list('abcd')})

# Create a Pandas Excel writer using XlsxWriter as the engine
writer = pd.ExcelWriter('test.xlsx', engine='xlsxwriter')

# Convert the dataframe to an XlsxWriter Excel object
df.to_excel(writer, sheet_name='Sheet1', index=False)

# Get the xlsxwriter workbook and worksheet objects
workbook  = writer.book
worksheet = writer.sheets['Sheet1']

# Define the format for the row
cell_format = workbook.add_format({'bg_color': 'yellow'})

# Grab the index numbers of the rows where specified column has blank cells (in this case column T)
rows_with_blank_cells = df.index[pd.isnull(df['T'])]

# For loops to apply the format only to the rows which have blank cells
for col in range(0,df.shape[1]): # iterate through every column of the df
    for row in rows_with_blank_cells:
        if pd.isnull(df.iloc[row,col]): # if cell is blank you ll get error, that's why write None value
            worksheet.write(row+1, col, None, cell_format)
        else:
            worksheet.write(row+1, col, df.iloc[row,col], cell_format)

# Finally output the file
writer.save()

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试着将其写入csv文件有没有办法写入xlsx文件？谢谢你的回答，耶兹雷尔。有没有办法使用xlsxwriter引擎来实现这一点，因为我的大部分代码都基于这个特定的引擎？@DatNguyen-不确定，我检查了一下，似乎不受支持。是的，我也检查了一下，但发现它只突出显示了单元格，而不是整行，我想我可以找到nan行的索引，然后使用set格式为它们着色，然后使用循环和函数工作表。set_row（）并将其着色：））谢谢您回答我的问题，Thehetty。因为我高亮显示它并将其导出到xlsx文件，所以熊猫本身不支持此操作。因此，我使用xlsxwriter引擎来实现这一点。我刚刚想出了一个办法，尝试为这些空白行的行号编制索引，然后用它来设置颜色：），所以将

应用到excel（'styled.xlsx'，engine='openpyxl'，index=False）

会有帮助吗？我不确定openpyxl引擎，因为我没有机会经常使用它。但是对于xlsxwriter引擎，查找索引和使用set_行的方法非常有效。请检查这一点。openpyxl引擎也给出了正确的结果

import pandas as pd
import numpy as np
import xlsxwriter

# Create a test dataframe (borrowed by jezrael)
df = pd.DataFrame({'T':[np.nan, np.nan, 1, 5],
                   'A':range(4),
                   'B':list('abcd')})

# Create a Pandas Excel writer using XlsxWriter as the engine
writer = pd.ExcelWriter('test.xlsx', engine='xlsxwriter')

# Convert the dataframe to an XlsxWriter Excel object
df.to_excel(writer, sheet_name='Sheet1', index=False)

# Get the xlsxwriter workbook and worksheet objects
workbook  = writer.book
worksheet = writer.sheets['Sheet1']

# Define the format for the row
cell_format = workbook.add_format({'bg_color': 'yellow'})

# Grab the index numbers of the rows where specified column has blank cells (in this case column T)
rows_with_blank_cells = df.index[pd.isnull(df['T'])]

# For loops to apply the format only to the rows which have blank cells
for col in range(0,df.shape[1]): # iterate through every column of the df
    for row in rows_with_blank_cells:
        if pd.isnull(df.iloc[row,col]): # if cell is blank you ll get error, that's why write None value
            worksheet.write(row+1, col, None, cell_format)
        else:
            worksheet.write(row+1, col, df.iloc[row,col], cell_format)

# Finally output the file
writer.save()