python 使用pandas同时对多列进行赋值

 data1['月份']=int(month) #加入月份和企业名称
 data1['企业']=parmentname

data1['月份','企业']=int(month) , parmentname   #加入月份和企业名称

data[['合计','平均']]='数据','月份'

import pandas as pd
chengji=[[100,95,100,99],[90,98,99,100],[88,95,98,88],[99,98,97,87],[96.5,90,96,85],[94,94,93,91],[91, 99, 92, 87], [85, 88, 85, 90], [90, 92, 99, 88], [90, 88, 89, 81], [85, 89, 89, 82], [95, 87, 86, 88], [90, 97, 97, 98], [80, 92, 89, 98], [80, 98, 85, 81], [98, 88, 95, 92]]
data=pd.DataFrame(chengji,columns=['语文','英语','数学','政治'])
print (data)
# data1=data[['数学','语文','英语','政治']]    #排序
# data1=data1.reset_index(drop=True)   #序列重建
# data1.index.names=['序号']     #序列重命名
# data1.index=data1.index+1    #序列从1开始
# print (data1)
data=pd.DataFrame(chengji,columns=['语文','英语','数学','政治'],index=[i for i in range(1,len(chengji)+1)])
print (data)
data[['合计','平均']]=data.apply(lambda x: (x.sum(), x.sum()/4),axis=1,result_type='expand')
print (data[:])
data=pd.DataFrame(chengji,columns=['语文','英语','数学','政治'],index=[i for i in range(1,len(chengji)+1)])
print (data)
data[['合计','平均']]=data.apply(lambda x:('数据','月份'),axis=1,result_type='expand')
print (data[:])

data1[['月份','企业']]=data1.apply(lambda x:(int(month),parmentname),axis=1,result_type='expand')
  # data1['月份']=int(month)   #加入月份和企业名称
  # data1['企业']=parmentname
  #print (data1)

data1.lco[:,['月份','企业']]=int(month),parmentname

data1[['月份','企业']]=int(month),parmentname

totaldata = totaldata.reset_index(drop=False)
totaldata['货品'] = totaldata['货品代码'].apply(lambda x:x[:12])

import numpy as np
import pandas as pd
from pandas import Series
 
chengji = [['N', 95, 0], ['N', 100, 88], ['N', 88, 100], ['N', 66, 0]]
data = pd.DataFrame(chengji, columns=['p', 'x', 'g'])
data[['序号','列名']]=data[['p','x']] #pd.DataFrame(data[['p','x']])# .apply(lambda x : x )
print(data)

import pandas as pd
df_tmp = pd.DataFrame([
 {"a":"data1", "cnt":100},{"a":"data2", "cnt":200},
])
df_tmp
a cnt
data1 100
data2 200

def formatrow(row):
 a = row["a"] + str(row["cnt"])
 b = str(row["cnt"]) + row["a"]
 return a, b 
 
df_tmp[["fomat1", "format2"]] = df_tmp.apply(formatrow, axis=1, result_type="expand")
df_tmp
a cnt fomat1 format2
data1 100 data1100 100data1
data2 200 data2200 200data2

df_tmp["fomat1-1"], df_tmp["format2-2"] = zip(*df_tmp.apply(formatrow, axis=1))
df_tmp
a cnt fomat1 format2 fomat1-1 format2-2
data1 100 data1100 100data1 data1100 100data1
data2 200 data2200 200data2 data2200 200data2