Question

Df和Df1

df是模拟代表

Country      Category Brand
South Africa Health   Proctor
America      Shoe     Nike
America      Clothing Forever21  
UK           Car      Rover

df1

Country      Category Brand
South Africa Health   Proctor
America      Shoe     Nike
America      Clothing Forever21  
UK           £!"4     11111

我想比较两者并创建并返回一个表格匹配的新表格。

解决方案1：Df3匹配检查布尔输出

Country Category Brand
True    True     True 
True    True     True 
True    True     True 
True    False    False

所需解决方案2：使用openpyxl输出Df3

Desired openxyl output

我最好使用openpyxl比较两个数据帧表并返回条件格式excel文件。

我正在使用的套件（如果有帮助）：

python 2.6 pandas 0.16 numpy 1.9.2 openpyxl 2.4.8

Answer 1

我尝试第二种解决方案

red_color = 'ffc7ce'
diff_val =  np.where((df!= df1).any(1) == True)
df_result = pd.DataFrame(diff_val.columns)

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

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

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

# Applying a conditional format to the cell range.
for item in diff_result:
    df_result.append(df.iloc[item], df1.iloc[item])
    worksheet.conditional_format(df1, {'type': 'unique', 'format':red_color})
# # Close the Pandas Excel writer and output the Excel file.
writer.save()

比较两个数据帧并创建一个布尔表或标志

1 个答案: