當使用 Openpyxl 的行上的單元格中有字符串值時，如何突出顯示 Excel 行？

Question

當“新記錄 ID”列下的單元格中有一個值時，我試圖突出顯示電子表格中的一行（從我的 split_values 數據框生成）該行的絕對引用是“J”。

以下是我最近的嘗試：

# Group entries by client name and create team spreadsheet

split_values = submitted_and_revised['Client Name'].unique()
print(split_values)

for value in split_values:
    teams = submitted_and_revised[submitted_and_revised['Client Name'] == value]
    output_file_name = "Team_" + str(value) + ".xlsx"

    from openpyxl import Workbook
    from openpyxl.styles import numbers, PatternFill, colors
    from openpyxl.utils import get_column_letter
    from openpyxl.utils.dataframe import dataframe_to_rows
    from openpyxl.styles import Alignment
    from openpyxl.formatting.rule import Rule
    from openpyxl.styles.differential import DifferentialStyle

    workbook = Workbook()
    sheet = workbook.active

############################################################
    # This section works in this location, but I can't figure out how to make it conditional on the New Record ID in rule.formula .  I'm also not sure what the sheet.conditional_formating.add("A1:0100", rule) means...

    red_background = PatternFill(bgColor=colors.RED)
    diff_style = DifferentialStyle(fill=red_background)
    rule = Rule(type="expression", dxf=diff_style)
    rule.formula = ["$J1==working_revised['New Record ID']"]
    sheet.conditional_formatting.add("A1:O100", rule)

############################################################    


    #Format Column Widths
    #sheet.column_dimensions['C'].auto_size = True
    sheet.column_dimensions['B'].width = float(18)
    sheet.column_dimensions['C'].width = float(5)
    sheet.column_dimensions['C'].width = float(25.25)
    sheet.column_dimensions['D'].width = float(20)
    sheet.column_dimensions['E'].width = float(6)
    sheet.column_dimensions['G'].width = float(65)
    sheet.column_dimensions['H'].width = float(20)
    sheet.column_dimensions['I'].width = float(14)
    sheet.column_dimensions['J'].width = float(14)
    sheet.column_dimensions['K'].width = float(50)


    for row in dataframe_to_rows(teams, index=False, header=True):
        sheet.append(row)
        for rows in sheet.iter_rows(min_row=1, max_row=None, min_col=None, max_col=None):
            for cell in rows:
                cell.alignment = Alignment(vertical='center',wrapText=True)


    workbook.save(output_file_name)    

提前感謝您提供的任何幫助！

---

謝謝 Dror Av。 感謝您在這個問題上提供的所有支持。 我無法得到你的答案。 一般來說，我對編碼仍然非常陌生，而且我確信我錯過了一些簡單的東西。 我玩了代碼，終於找到了下面的解決方案。

它不能完美運行，因為除了突出顯示的“新記錄 ID”行之外，它還突出顯示 header 行。 盡管我試圖修復那塊，但我沒能做到。 對於它的價值，這是我想出的解決方案：

# Import needed modules
from openpyxl import Workbook
from openpyxl.formatting.rule import Rule
from openpyxl.styles.differential import DifferentialStyle
from openpyxl.styles import Font, PatternFill, colors, Alignment
from openpyxl.utils import get_column_letter
from openpyxl.utils.dataframe import dataframe_to_rows

#Group by unique clients
split_values = submitted_and_revised['Client Name'].unique()
print(split_values)

for value in split_values:
    teams = submitted_and_revised[submitted_and_revised['Client Name'] == value]
    output_file_name = "Team_" + str(value) + ".xlsx"

    workbook = Workbook()
    sheet = workbook.active

    #Format Column Widths
    #sheet.column_dimensions['C'].auto_size = True
    sheet.column_dimensions['A'].width = float(3)
    sheet.column_dimensions['B'].width = float(18)
    sheet.column_dimensions['C'].width = float(25)
    sheet.column_dimensions['D'].width = float(20)
    sheet.column_dimensions['E'].width = float(10)
    sheet.column_dimensions['G'].width = float(50)
    sheet.column_dimensions['H'].width = float(15)
    sheet.column_dimensions['I'].width = float(32)
    sheet.column_dimensions['J'].width = float(25)
    sheet.column_dimensions['K'].width = float(50)

    red_background = PatternFill(bgColor=colors.RED)
    diff_style = DifferentialStyle(fill=red_background)
    rule = Rule(type="expression", dxf=diff_style)
    rule.formula = ["NOT(ISBLANK($J1))"]
    sheet.conditional_formatting.add("A1:Y100", rule)


    for row in dataframe_to_rows(teams, index=False, header=True):
        sheet.append(row)

    for rows in sheet.iter_rows(min_row=1, max_row=None, min_col=None, max_col=None):
        for cell in rows:
            cell.alignment = Alignment(vertical='center', wrapText=True)



    workbook.save(output_file_name)

Answer 1

首先，不要循環導入，否則您將度過糟糕的一天。 在代碼頂部導入 go，請參閱PEP8 指南以獲取更多信息以及其他關於樣式 Python 代碼的指南。

from openpyxl import Workbook
from openpyxl.utils.dataframe import dataframe_to_rows
from openpyxl.styles import Alignment, PatternFill, colors
from openpyxl.formatting.rule import FormulaRule

split_values = submitted_and_revised['Client Name'].unique()
print(split_values)

workbook = Workbook()
sheet = workbook.active

for value in split_values:
    teams = submitted_and_revised[submitted_and_revised['Client Name'] == value]
    output_file_name = "Team_" + str(value) + ".xlsx"

其次，您不必自己創建規則，因為您使用的是簡單的FormulaRule 。 現在您只需要將規則應用於行中的所有單元格：

for row in dataframe_to_rows(teams, index=False, header=True):
    sheet.append(row)

for rows in sheet.iter_rows(min_row=1, max_row=None, min_col=None, max_col=None):
     for cell in rows:
        cell.alignment = Alignment(vertical='center', wrapText=True)
        sheet.conditional_formatting.add(f'{cell.coordinate}',
                                            FormulaRule(formula=["=NOT(ISBLANK(J{cell.row}))"],
                                                        fill=red_background))

最后它應該看起來像這樣，當單元格J{row}等於working_revised['New Record ID']時，該特定行將具有紅色背景。 請注意，如果這不是您的意圖，您正在為循環的每個迭代創建一個新的工作簿：

workbook = Workbook()
sheet = workbook.active

跳出循環。

最終代碼：

from openpyxl import Workbook
from openpyxl.utils.dataframe import dataframe_to_rows
from openpyxl.styles import Alignment, PatternFill, colors
from openpyxl.formatting.rule import FormulaRule


split_values = submitted_and_revised['Client Name'].unique()
print(split_values)

red_background = PatternFill(bgColor=colors.RED)

for value in split_values:
    teams = submitted_and_revised[submitted_and_revised['Client Name'] == value]
    output_file_name = "Team_" + str(value) + ".xlsx"

    workbook = Workbook()
    sheet = workbook.active

    #Format Column Widths
    #sheet.column_dimensions['C'].auto_size = True
    sheet.column_dimensions['B'].width = float(18)
    sheet.column_dimensions['C'].width = float(5)
    sheet.column_dimensions['C'].width = float(25.25)
    sheet.column_dimensions['D'].width = float(20)
    sheet.column_dimensions['E'].width = float(6)
    sheet.column_dimensions['G'].width = float(65)
    sheet.column_dimensions['H'].width = float(20)
    sheet.column_dimensions['I'].width = float(14)
    sheet.column_dimensions['J'].width = float(14)
    sheet.column_dimensions['K'].width = float(50)

    for row in dataframe_to_rows(teams, index=False, header=True):
        sheet.append(row)

    for rows in sheet.iter_rows(min_row=2, max_row=None, min_col=None, max_col=None):
        for cell in rows:
            cell.alignment = Alignment(vertical='center', wrapText=True)
            sheet.conditional_formatting.add(f'{cell.coordinate}',
                                             FormulaRule(formula=["=NOT(ISBLANK(J{cell.row}))"],
                                                         fill=red_background))

    workbook.save(output_file_name)  

Output 應該看起來像這樣（忽略隨機值）：