对excel行的操作

import  pandas
sheet1=pandas.read_excel(\'成绩.xlsx\',sheet_name=\'Sheet1\')
sheet2=pandas.read_excel(\'成绩.xlsx\',sheet_name=\'Sheet2\')

连接两张表

students=sheet1.append(sheet2).reset_index(drop=True)  #drop指是否删除原index
print(students)

在连接表的最后一行追加一行数据

stu=pandas.Series({\'id\':10,\'name\':\'student_8\',\'score1\':59,\'score2\':58,\'score\':78})
a=students.append(stu,ignore_index=True)
print(a)

替换一个单元格的数据

a.at[10,\'name\']=\'张飞\'
print(a)

替换一行数据

b=pandas.Series({\'id\':49,\'name\':\'刘备\',\'score1\':87,\'score2\':89,\'score\':70})
a.iloc[6]=b
print(a)

插入一行数

c=pandas.Series({\'id\':49,\'name\':\'关羽\',\'score1\':87,\'score2\':89,\'score\':70})
part1=a[:7]
part2=a[7:]
result=part1.append(c,ignore_index=True).append(part2).reset_index(drop=True)
print(result)

把name这列数据部分变为空

for i in range(4):
    result[\'name\'].at[i]=\'\'
print(result)

删除name列为空的数据行

#删除行数据
#result.drop(index=[0,1,2],inplace=True)
#result.drop(index=range(0,10),inplace=True)
#result.drop(index=result[0:10].index,inplace=True)

missing=result.loc[result[\'name\']==\'\']

result.drop(index=missing.index,inplace=True)

print(result)