xlsxwriter pandas 框架：如果列中有空白单元格，则突出显示行

Question

我有一个 pandas 框架，其 T 列有一些空白单元格。我想突出显示任何包含空白单元格的行

我一直在尝试使用 .format，但它只突出显示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实际结果：只有空白单元格突出显示

Answer 1

如果空白值是缺失值，请使用 pandas styles 和自定义函数：

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)

Answer 2

1. 构建一个函数，在找到 NaN 时突出显示行。

2. dataframe.style.apply(function_name, 轴=1)

# Function to color entire row
def color(row):
    if row.isnull().values.any() == True:
        return ['background-color: red'] * len(row)
    return [''] * len(row)

# Create a dataframe
data = pd.DataFrame({"col1":col1, "col2":col2, "col3":col3})

# Empty values
col1[3], col2[0] = None, None

# Apply the function
data.style.apply(color, axis=1)

Answer 3

这对我有用：

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()

xlsxwriter pandas 框架：如果列中有空白单元格，则突出显示行

xlsxwriter pandas frame: to highlight rows if there are blank cells within a column

python

pandas

syntax-highlighting

xlsxwriter