pandas操作excel操作-04-数据填充

import pandas as pd
from datetime import date, timedelta

# skiprows 跳过前面的多少行
# usecols 读取excel中选中的列
# index_col 使用作为索引列的列名
# dtype  根据列名，设置列的数据类型
books = pd.read_excel('D:/output.xlsx', skiprows=4, usecols='D:H', 
                      index_col='idx', dtype={'ID2':str, 'DateM':str, 'Ready':str})
#print(books)
#print(books['ID2'])
#print(type(books['ID2']))
#books['ID2'].at[0] = 100
#print(books['ID2'])

# NaN的数值类型默认为float类型

start = date(2020, 2, 1)

for i in books.index:
    books['ID2'].at[i] = i+100
	# 与上一行代码等同效果
	books.at[i, 'ID2'] = i+101
    # 实现隔行输出
    books['Ready'].at[i] = 'Yes'if i%2==0 else 'No'
    # timedelta 只能添加以下类型
    #days=0, seconds=0, microseconds=0, milliseconds=0, minutes=0, hours=0, weeks
    books['DateM'].at[i] = start + timedelta(days=i)
    
    books['DateM'].at[i] = date(start.year+i, start.month, start.day)
    
print(books)

books.to_excel('D:/output.xlsx')

视频地址： https://www.bilibili.com/video/av88814463?p=4 https://www.bilibili.com/video/av88814463?p=5

来源：oschina

链接：https://my.oschina.net/ski/blog/3179411