import numpy as np # 循环遍历每一个单元格 for row in ws.iter_rows(): for cell in row: # 判断单元格是否包含% if '%' in str(cell.value): # 将单元格格式设置为数字格式 cell.number_format = '0.00%' # 将单元格值除以100并重新赋值给单元格 cell.value = float(cell.value.strip('%')) / 100 以上代码执行后报错信息：AttributeError: module 'numpy' has no attribute 'float'. `np.float` was a deprecated alias for the builtin `float`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.，麻烦修正报错并输出代码

import openpyxl

# 打开 Excel 文件
wb = openpyxl.load_workbook('example.xlsx')

# 选择第一个工作表
ws = wb.active

# 循环遍历每一个单元格
for row in ws.iter_rows():
for cell in row:
# 判断单元格是否包含%
if '%' in str(cell.value):
# 将单元格格式设置为数字格式
cell.number_format = '0.00%'
# 将单元格值除以100并重新赋值给单元格
cell.value = float(cell.value.strip('%')) / 100

wb.save('example.xlsx')

相关问题

# 循环遍历每一个单元格 for row in ws.iter_rows(): for cell in row: # 判断单元格是否包含% if '%' in str(cell.value): # 将单元格格式设置为数字格式 cell.number_format = '0.00%' # 将单元格值除以100并重新赋值给单元格 cell.value = float(cell.value.strip('%')) / 100 以上报错信息：module numpy has no attribute float ，麻烦修正报错并输出代码

这个错误可能是因为您在代码中使用了 `numpy.float`，而不是 Python 内置的 `float`。以下是修改后的代码：

for row in ws.iter_rows():
    for cell in row:
        if '%' in str(cell.value):
            # 将单元格格式设置为数字格式
            cell.number_format = '0.00%'
            # 将单元格值除以100并重新赋值给单元格
            cell.value = float(cell.value.strip('%')) / 100.0

注意最后一行中 `100.0` 后面的小数点，这是为了确保除法操作为浮点数除法。

#!/bin/env python import numpy as np import pandas as pd import openpyxl,os df_csv = pd.read_csv(r'Permance_a.csv',index_col=0,encoding='utf-8') df_csv.to_excel(r'Permance_a.xlsx') # 打开Excel文件 wb = openpyxl.load_workbook('Permance_a.xlsx') # 选择第一个工作表 ws = wb.active # 循环遍历每一个单元格 for row in ws.iter_rows(): for cell in row: # 判断单元格是否包含% if '%' in str(cell.value): # 将单元格格式设置为数字格式 cell.number_format = '0.00%' # 将单元格值除以100并重新赋值给单元格 cell.value = float(cell.value.strip('%')) / 100 # 保存Excel文件 wb.save('Permance_a.xlsx') # 源表格和目标表格的文件名 source_file = r'Permance_a.xlsx' target_file = r'Permance.xlsx' source_end_col = 8 # 结束列 source_start_col = 5 # 开始列 source_start_row = [2,12,22,32] source_end_row = [11,21,31,41] target_end_col = 6 # 结束列 target_start_col = 3 # 开始列 target_start_row = [7,35,21,49] target_end_row = [16,44,30,58] # 打开两个工作簿 wb1 = openpyxl.load_workbook(source_file) ws1 = wb1.active target_ws_name = 'sd' + source_file[-6] wb2 = openpyxl.load_workbook(target_file) wb2.active.title = target_ws_name ws2 = wb2.active # 将源表格的数据覆盖到目标表格中 for i in range(len(source_start_row)): for row in range(source_start_row[i], source_end_row[i]+1): for col in range(source_start_col, source_end_col+1): value = ws1.cell(row=row, column=col).value ws2.cell(row=target_start_row[i]+row-source_start_row[i], column=target_start_col+col-source_start_col, value=value) # 保存目标表格 wb2.save(target_file) 修改以上代码，将目标文件中数据引用源中工作明修改为target_ws_name

修改后的代码如下：

#!/bin/env python 
import numpy as np 
import pandas as pd 
import openpyxl,os  

df_csv = pd.read_csv(r'Permance_a.csv',index_col=0,encoding='utf-8') 
df_csv.to_excel(r'Permance_a.xlsx') 

# 打开Excel文件 
wb = openpyxl.load_workbook('Permance_a.xlsx') 

# 选择第一个工作表 
ws = wb.active 

# 循环遍历每一个单元格 
for row in ws.iter_rows():         
    for cell in row:         
        # 判断单元格是否包含%                 
        if '%' in str(cell.value):             
            # 将单元格格式设置为数字格式                         
            cell.number_format = '0.00%'             
            # 将单元格值除以100并重新赋值给单元格                         
            cell.value = float(cell.value.strip('%')) / 100 

# 保存Excel文件 
wb.save('Permance_a.xlsx')   

# 源表格和目标表格的文件名 
source_file = r'Permance_a.xlsx' 
target_file = r'Permance.xlsx'  

source_end_col = 8  # 结束列 
source_start_col = 5  # 开始列 
source_start_row = [2,12,22,32] 
source_end_row = [11,21,31,41]  

target_end_col = 6  # 结束列 
target_start_col = 3  # 开始列 
target_start_row = [7,35,21,49] 
target_end_row = [16,44,30,58]   

# 打开两个工作簿 
wb1 = openpyxl.load_workbook(source_file) 
ws1 = wb1.active 

# 修改目标工作表名 
target_ws_name = 'sd' + source_file[-6]  
wb2 = openpyxl.load_workbook(target_file) 
wb2[target_ws_name].title = target_ws_name  
ws2 = wb2[target_ws_name]   

# 将源表格的数据覆盖到目标表格中 
for i in range(len(source_start_row)): 
    for row in range(source_start_row[i], source_end_row[i]+1):                 
        for col in range(source_start_col, source_end_col+1):                        
            value = ws1.cell(row=row, column=col).value                        
            ws2.cell(row=target_start_row[i]+row-source_start_row[i], column=target_start_col+col-source_start_col, value=value)   

# 保存目标表格 
wb2.save(target_file)