Question

我只想在Excel输出中显示过滤的行。下面是示例

df = pd.DataFrame({'Data': [1, 2, 3, 4, 
                               5, 6, 7]}) 

writer = pd.ExcelWriter('pandasEx.xlsx',  
                   engine ='xlsxwriter') 

df.to_excel(writer, sheet_name ='Sheet1') 
writer.save()

对于输出，我想隐藏'Data' < 5处的所有行。这该怎么做？这等效于应用过滤器并保存excel。

我知道如何去除大熊猫中的公仔或如何过滤大熊猫中的东西。但是我不想在熊猫中删除它们，我只是想在excel中应用过滤器。用例是，用户将在excel中拥有完整的数据，但是某些行将被隐藏，如果用户希望他们可以在excel中取消隐藏它们并查看数据。希望这可以解释用例

谢谢

Answer 1

df = pd.DataFrame({'Data': [1, 2, 3, 4, 
                               5, 6, 7]}) 

writer = pd.ExcelWriter('pandasEx.xlsx',  
                   engine ='xlsxwriter') 

df.to_excel(writer, sheet_name ='Sheet1') 
workbook = writer.book
worksheet1 = writer.sheets['Sheet1']
worksheet1.autofilter('B1:B{}'.format(len(df)))
worksheet1.filter_column('B', 'x < 5')

# Hide the rows that don't match the filter criteria.
row = 1
#for row_data in (df):
for index, row_data in df.iterrows():
    region = row_data['Data']
    # Check for rows that match the filter.
    if region < 5:
        # Row matches the filter, no further action required.
        pass
    else:
        # We need to hide rows that don't match the filter.
        worksheet1.set_row(row, options={'hidden': True})
    # Move on to the next worksheet row.
    row += 1
writer.save()

Answer 2

使用过滤后的数据创建一个数据框，并将其写入excel文件：

import pandas as pd

df = pd.DataFrame({'Data': [1, 2, 3, 4, 5, 6, 7]}) 

writer = pd.ExcelWriter('pandasEx.xlsx') 

df_filtered = df.loc[df.Data >= 5]

df_filtered.to_excel(writer, sheet_name ='Sheet1') 
writer.save()

备注：由于我的系统上没有xlswriter模块，因此必须删除它，但代码也应适用。

使用熊猫仅在Excel writer输出中显示过滤的行

2 个答案: