import pandas as pd
import os

cci_path = r'D:\daimaceshi\xinceshi20230501\CCI20230501.xlsx'
save_path = r'D:\daimaceshi\xinceshi20230601'
df = pd.read_excel(cci_path, sheet_name='分析表1')
writer = pd.ExcelWriter(os.path.join(save_path, 'CCI20230601.xlsx'))
df.to_excel(writer, sheet_name='分析1', index=False)
# 新建“date3”列，复制“date”列的数据到“date3”列
df['date3'] = df['date']

# 在每一个“date”数据行后插入3个空行
for i in range(len(df)):
    for j in range(3):
        df = pd.concat([df.iloc[:i+1], pd.Series(), df.iloc[i+1:]], ignore_index=True)

        #df = pd.concat([df.iloc[:i+1], pd.Series(), df.iloc[i+1:]], ignore_index=True)
        #df = pd.concat([df, df.loc[i]], ignore_index=True)
        #inserted_rows = pd.DataFrame([{}], dtype='object')
        #cci_data = pd.concat([cci_data, inserted_rows] * 3, ignore_index=True)
        # cci_data.loc[cci_data.shape[0]] = pd.Series(dtype='object')
        # cci_data.loc[cci_data.shape[0]] = pd.Series(dtype='object')
        # cci_data.loc[cci_data.shape[0]] = pd.Series(dtype='object')
#for i in range(3):
    #new_data.loc[new_data.shape[0]] =pd.serise(dtype='object')
#cci_data = pd.concat([cci_data, new_data], axis=0, ignore_index=True)

# 将结果保存到新Excel文件中
df.to_excel(writer, sheet_name='分析1', index=False)
writer._save()
试了好几种写法，都没有办法实现“在Excel的每一行下插入3个空行”，请高手赐教。

感谢帮助！