import pandas as pd from datetime import date,timedelta import time # 月份累加 def add_month(d, md): yd = md // 12 # 整除 m = d.month + md % 12 if m != 12: yd += m // 12 m = m % 12 return date(d.year + yd, m, d.day) if __name__ == '__main__': # 1.0 读取文件 path = "C:/Users/123/Desktop/pandas/004_数据区域读取_填充数字/" file = "Books.xlsx" book = pd.read_excel(path + file, skiprows=3, usecols="C:G", index_col=None, dtype={"ID":str, "InStore":str, "Date":str, "StrNum":str}) print(book) # 2.0 操作文件 start = date(2018, 1, 20) # 设置时间 # 方法一 # for i in book.index: # book["ID"].at[i] = i + 1 # book["InStore"].at[i] = "Yes" if i % 2 == 0 else "No" # month = add_month(start, i) # 累加月份 # book["Date"].at[i] = month + timedelta(days=i) # 累加天数 # book["StrNum"].at[i] = "str" + str(i) # 字符串 + 数字 # 方法二 for i in book.index: book.at[i, "ID"] = i + 1 book.at[i, "InStore"] = "Yes" if i % 2 == 0 else "No" month = add_month(start, i) # 累加月份 book.at[i, "Date"] = month + timedelta(days=i) # 累加天数 book.at[i, "StrNum"] = "str" + str(i) # 字符串 + 数字 print(book) book.set_index("ID", inplace=True) # 3.0 输入文件 file_write = "Books_v2.xlsx" book.to_excel(path + file_write) print("Done!")