
#1号羽绒服销量数据
date1 = "1号"
name1 = "羽绒服"
price1 = 253.6
num1 = 500
day_volume1 = 10

#2号牛仔裤销量数据
date2 = "2号"
name2 = "牛仔裤"
price2 = 86.3
num2 = 600
day_volume2 = 60

#3号风衣销量数据
date3 = "3号"
name3 = "风衣"
price3 = 96.8
num3 = 335
day_volume3 = 43

#4号皮草销量数据
date4 = "4号"
name4 = "皮草"
price4 = 135.9
num4 = 855
day_volume4 = 63

#5号T恤销量数据
date5 = "5号"
name5 = "T恤"
price5 = 65.8
num5 = 632
day_volume5 = 63


#6号衬衫销量数据
date6 = "6号"
name6 = "衬衫"
price6 = 49.3
num6 = 562
day_volume6 = 120

#7号牛仔裤销量数据
date7 = "7号"
name7 = "牛仔裤"
price7 = 86.3
num7 = 600
day_volume7 = 72

#8号羽绒服销量数据
date8 = "18号"
name8 = "羽绒服"
price8 = 253.6
num8 = 500
day_volume8 = 69

#9号牛仔裤销量数据
date9 = "9号"
name9 = "牛仔裤"
price9 = 86.3
num9 = 600
day_volume9 = 35

#10号羽绒服销量数据
date10 = "0号"
name10 = "羽绒服"
price10 = 253.6
num10 = 500
day_volume10 = 140

#11号牛仔裤销量数据
date11 = "11号"
name11 = "牛仔裤"
price11 = 86.3
num11 = 600
day_volume11 = 90

#12号皮草销量数据
date12 = "12号"
name12 = "皮草"
price12 = 135.9
num12 = 855
day_volume12 = 24

#13号T恤销量数据
date13 = "13号"
name13 = "T恤"
price13 = 65.8
num13 = 632
day_volume13 = 45

#14号风衣销量数据
date14 = "14号"
name14 = "风衣"
price14 = 96.8
num14 = 335
day_volume14 = 25

#15号牛仔裤销量数据
date15 = "15号"
name15 = "牛仔裤"
price15 = 86.3
num15 =600
day_volume15 = 60

#16号T恤销量数据
date16 = "16号"
name16 = "T恤"
price16 = 65.8
num16 = 632
day_volume16 = 129

#17号羽绒服销量数据
date17 = "17号"
name17 = "羽绒服"
price17 = 253.6
num17 = 500
day_volume17 = 10

#18号风衣销量数据
date18 = "18号"
name18 = "风衣"
price18 = 96.8
num18 = 335
day_volume18 = 43

#19号销量数据
date19 = "19号"
name19 = "T恤"
price19 = 65.8
num19 = 632
day_volume19 = 63

#20号牛仔裤销量数据
date20 = "20号"
name20 = "牛仔裤"
price20 = 86.3
num20 = 600
day_volume20 = 60

#21号皮草销量数据
date21 = "21号"
name21 = "皮草"
price21 = 135.9
num21 = 855
day_volume21 = 63

#22号风衣销量数据
date22 = "22号"
name22 = "风衣"
price22 = 96.8
num22 = 335
day_volume22 = 60

#23号T恤销量数据
date23 = "23号"
name23 = "T恤"
price23 = 65.8
num23 = 632
day_volume23 = 58

#24号牛仔裤销量数据
date24 = "24号"
name24 = "牛仔裤"
price24 = 86.3
num24 = 600
day_volume24 = 140

#25号T恤销量数据
date25 = "25号"
name25 = "T恤"
price25 = 65.8
num25 = 632
day_volume25 = 48

#26号风衣销量数据
date26 = "26号"
name26 = "风衣"
price26 = 96.8
num26 = 335
day_volume26 = 43

#27号皮草销量数据
date27 = "27号"
name27 = "皮草"
price27 = 135.9
num27 = 855
day_volume27 = 57

#28号羽绒服销量数据
date28 = "1号"
name28 = "羽绒服"
price28 = 253.6
num28 = 500
day_volume28 = 10

#29号羽绒服销量数据
date29 = "29号"
name29 = "T恤"
price29 = 65.8
num29 = 632
day_volume29 = 63

#30号风衣销量数据
date30 = "30号"
name30 = "风衣"
price30 = 96.8
num30 = 335
day_volume30 = 78

print("————————————————————————————12月份衣服销售数据————————————————————————————")
print("日期\t\t\t服装名称\t\t\t价格/件\t\t\t库存数量\t\t\t销售量/每日")
print("-----------------------------------------------------------------------")
print(date1,"\t\t",name1,"\t\t\t",price1,"\t\t\t",num1,"\t\t\t",day_volume1)
print(date2,"\t\t",name2,"\t\t\t",price2,"\t\t\t",num2,"\t\t\t",day_volume2)
print(date3,"\t\t",name3,"\t\t\t",price3,"\t\t\t",num3,"\t\t\t",day_volume3)
print(date4,"\t\t",name4,"\t\t\t",price4,"\t\t\t",num4,"\t\t\t",day_volume4)
print(date5,"\t\t",name5,"\t\t\t",price5,"\t\t\t",num5,"\t\t\t",day_volume5)
print(date6,"\t\t",name6,"\t\t\t",price6,"\t\t\t",num6,"\t\t\t",day_volume6)
print(date7,"\t\t",name7,"\t\t\t",price7,"\t\t\t",num7,"\t\t\t",day_volume7)
print(date8,"\t\t",name8,"\t\t\t",price8,"\t\t\t",num8,"\t\t\t",day_volume8)
print(date9,"\t\t",name9,"\t\t\t",price9,"\t\t\t",num9,"\t\t\t",day_volume9)
print(date10,"\t\t",name10,"\t\t\t",price10,"\t\t\t",num10,"\t\t\t",day_volume10)
print(date11,"\t\t",name11,"\t\t\t",price11,"\t\t\t",num11,"\t\t\t",day_volume11)
print(date12,"\t\t",name12,"\t\t\t",price12,"\t\t\t",num12,"\t\t\t",day_volume12)
print(date13,"\t\t",name13,"\t\t\t",price13,"\t\t\t",num13,"\t\t\t",day_volume13)
print(date14,"\t\t",name14,"\t\t\t",price14,"\t\t\t",num14,"\t\t\t",day_volume14)
print(date15,"\t\t",name15,"\t\t\t",price15,"\t\t\t",num15,"\t\t\t",day_volume15)
print(date16,"\t\t",name16,"\t\t\t",price16,"\t\t\t",num16,"\t\t\t",day_volume16)
print(date17,"\t\t",name17,"\t\t\t",price17,"\t\t\t",num17,"\t\t\t",day_volume17)
print(date18,"\t\t",name18,"\t\t\t",price18,"\t\t\t",num18,"\t\t\t",day_volume18)
print(date19,"\t\t",name19,"\t\t\t",price19,"\t\t\t",num19,"\t\t\t",day_volume19)
print(date20,"\t\t",name20,"\t\t\t",price20,"\t\t\t",num20,"\t\t\t",day_volume20)
print(date21,"\t\t",name21,"\t\t\t",price21,"\t\t\t",num21,"\t\t\t",day_volume21)
print(date22,"\t\t",name22,"\t\t\t",price22,"\t\t\t",num22,"\t\t\t",day_volume22)
print(date23,"\t\t",name23,"\t\t\t",price23,"\t\t\t",num23,"\t\t\t",day_volume23)
print(date24,"\t\t",name24,"\t\t\t",price24,"\t\t\t",num24,"\t\t\t",day_volume24)
print(date25,"\t\t",name25,"\t\t\t",price25,"\t\t\t",num25,"\t\t\t",day_volume25)
print(date26,"\t\t",name26,"\t\t\t",price26,"\t\t\t",num26,"\t\t\t",day_volume26)
print(date27,"\t\t",name27,"\t\t\t",price27,"\t\t\t",num27,"\t\t\t",day_volume27)
print(date28,"\t\t",name28,"\t\t\t",price28,"\t\t\t",num28,"\t\t\t",day_volume28)
print(date29,"\t\t",name29,"\t\t\t",price29,"\t\t\t",num29,"\t\t\t",day_volume29)
print(date30,"\t\t",name30,"\t\t\t",price30,"\t\t\t",num30,"\t\t\t",day_volume30)
print("-----------------------------------------------------------------------")
print("每件衣服的销售占比：",((day_volume1+day_volume2+day_volume3+day_volume4+day_volume5+day_volume6+day_volume1+day_volume7
                     +day_volume8+day_volume9+day_volume10+day_volume11+day_volume12+day_volume13+day_volume14+day_volume15
                     +day_volume16+day_volume17+day_volume18+day_volume19+day_volume20+day_volume21+day_volume22+day_volume23
                     +day_volume24+day_volume25+day_volume26+day_volume27+day_volume28+day_volume29+day_volume30)/(num1+num2+num3+num4+num5+num6)))
print("羽绒服销售占比：",((day_volume1+day_volume8+day_volume10+day_volume17+day_volume28)/num1))
print("牛仔裤销售占比：",((day_volume2+day_volume7+day_volume9+day_volume11+day_volume15+day_volume20+day_volume24)/num2))
print("风衣销售占比：",((day_volume3+day_volume14+day_volume18+day_volume22+day_volume26+day_volume30)/num3))
print("皮草裤销售占比：",((day_volume4+day_volume12+day_volume21+day_volume27)/num4))
print("T血裤销售占比：",((day_volume5+day_volume13+day_volume16+day_volume19+day_volume23+day_volume25+day_volume29)/num5))
print("衬衫裤销售占比：",(day_volume6/num6))
print("本月总销售额为：￥",(((day_volume1+day_volume8+day_volume10+day_volume17+day_volume28)*price1)+((day_volume2+day_volume7+day_volume9+day_volume11+day_volume15+day_volume20+day_volume24)*price2)
      +((day_volume3+day_volume14+day_volume18+day_volume22+day_volume26+day_volume30)*price3)+((day_volume4+day_volume12+day_volume21+day_volume27)*price4)
+((day_volume5+day_volume13+day_volume16+day_volume19+day_volume23+day_volume25+day_volume29)*price5)+(day_volume6*price6)))
0a707c28ec969f3b0b44f0056a925b957dfec823
<mask token>

<mask token>
print('————————————————————————————12月份衣服销售数据————————————————————————————')
print('日期\t\t\t服装名称\t\t\t价格/件\t\t\t库存数量\t\t\t销售量/每日')
print('-----------------------------------------------------------------------'
    )
print(date1, '\t\t', name1, '\t\t\t', price1, '\t\t\t', num1, '\t\t\t',
    day_volume1)
print(date2, '\t\t', name2, '\t\t\t', price2, '\t\t\t', num2, '\t\t\t',
    day_volume2)
print(date3, '\t\t', name3, '\t\t\t', price3, '\t\t\t', num3, '\t\t\t',
    day_volume3)
print(date4, '\t\t', name4, '\t\t\t', price4, '\t\t\t', num4, '\t\t\t',
    day_volume4)
print(date5, '\t\t', name5, '\t\t\t', price5, '\t\t\t', num5, '\t\t\t',
    day_volume5)
print(date6, '\t\t', name6, '\t\t\t', price6, '\t\t\t', num6, '\t\t\t',
    day_volume6)
print(date7, '\t\t', name7, '\t\t\t', price7, '\t\t\t', num7, '\t\t\t',
    day_volume7)
print(date8, '\t\t', name8, '\t\t\t', price8, '\t\t\t', num8, '\t\t\t',
    day_volume8)
print(date9, '\t\t', name9, '\t\t\t', price9, '\t\t\t', num9, '\t\t\t',
    day_volume9)
print(date10, '\t\t', name10, '\t\t\t', price10, '\t\t\t', num10, '\t\t\t',
    day_volume10)
print(date11, '\t\t', name11, '\t\t\t', price11, '\t\t\t', num11, '\t\t\t',
    day_volume11)
print(date12, '\t\t', name12, '\t\t\t', price12, '\t\t\t', num12, '\t\t\t',
    day_volume12)
print(date13, '\t\t', name13, '\t\t\t', price13, '\t\t\t', num13, '\t\t\t',
    day_volume13)
print(date14, '\t\t', name14, '\t\t\t', price14, '\t\t\t', num14, '\t\t\t',
    day_volume14)
print(date15, '\t\t', name15, '\t\t\t', price15, '\t\t\t', num15, '\t\t\t',
    day_volume15)
print(date16, '\t\t', name16, '\t\t\t', price16, '\t\t\t', num16, '\t\t\t',
    day_volume16)
print(date17, '\t\t', name17, '\t\t\t', price17, '\t\t\t', num17, '\t\t\t',
    day_volume17)
print(date18, '\t\t', name18, '\t\t\t', price18, '\t\t\t', num18, '\t\t\t',
    day_volume18)
print(date19, '\t\t', name19, '\t\t\t', price19, '\t\t\t', num19, '\t\t\t',
    day_volume19)
print(date20, '\t\t', name20, '\t\t\t', price20, '\t\t\t', num20, '\t\t\t',
    day_volume20)
print(date21, '\t\t', name21, '\t\t\t', price21, '\t\t\t', num21, '\t\t\t',
    day_volume21)
print(date22, '\t\t', name22, '\t\t\t', price22, '\t\t\t', num22, '\t\t\t',
    day_volume22)
print(date23, '\t\t', name23, '\t\t\t', price23, '\t\t\t', num23, '\t\t\t',
    day_volume23)
print(date24, '\t\t', name24, '\t\t\t', price24, '\t\t\t', num24, '\t\t\t',
    day_volume24)
print(date25, '\t\t', name25, '\t\t\t', price25, '\t\t\t', num25, '\t\t\t',
    day_volume25)
print(date26, '\t\t', name26, '\t\t\t', price26, '\t\t\t', num26, '\t\t\t',
    day_volume26)
print(date27, '\t\t', name27, '\t\t\t', price27, '\t\t\t', num27, '\t\t\t',
    day_volume27)
print(date28, '\t\t', name28, '\t\t\t', price28, '\t\t\t', num28, '\t\t\t',
    day_volume28)
print(date29, '\t\t', name29, '\t\t\t', price29, '\t\t\t', num29, '\t\t\t',
    day_volume29)
print(date30, '\t\t', name30, '\t\t\t', price30, '\t\t\t', num30, '\t\t\t',
    day_volume30)
print('-----------------------------------------------------------------------'
    )
print('每件衣服的销售占比：', (day_volume1 + day_volume2 + day_volume3 + day_volume4 +
    day_volume5 + day_volume6 + day_volume1 + day_volume7 + day_volume8 +
    day_volume9 + day_volume10 + day_volume11 + day_volume12 + day_volume13 +
    day_volume14 + day_volume15 + day_volume16 + day_volume17 +
    day_volume18 + day_volume19 + day_volume20 + day_volume21 +
    day_volume22 + day_volume23 + day_volume24 + day_volume25 +
    day_volume26 + day_volume27 + day_volume28 + day_volume29 +
    day_volume30) / (num1 + num2 + num3 + num4 + num5 + num6))
print('羽绒服销售占比：', (day_volume1 + day_volume8 + day_volume10 + day_volume17 +
    day_volume28) / num1)
print('牛仔裤销售占比：', (day_volume2 + day_volume7 + day_volume9 + day_volume11 +
    day_volume15 + day_volume20 + day_volume24) / num2)
print('风衣销售占比：', (day_volume3 + day_volume14 + day_volume18 + day_volume22 +
    day_volume26 + day_volume30) / num3)
print('皮草裤销售占比：', (day_volume4 + day_volume12 + day_volume21 + day_volume27
    ) / num4)
print('T血裤销售占比：', (day_volume5 + day_volume13 + day_volume16 + day_volume19 +
    day_volume23 + day_volume25 + day_volume29) / num5)
print('衬衫裤销售占比：', day_volume6 / num6)
print('本月总销售额为：￥', (day_volume1 + day_volume8 + day_volume10 + day_volume17 +
    day_volume28) * price1 + (day_volume2 + day_volume7 + day_volume9 +
    day_volume11 + day_volume15 + day_volume20 + day_volume24) * price2 + (
    day_volume3 + day_volume14 + day_volume18 + day_volume22 + day_volume26 +
    day_volume30) * price3 + (day_volume4 + day_volume12 + day_volume21 +
    day_volume27) * price4 + (day_volume5 + day_volume13 + day_volume16 +
    day_volume19 + day_volume23 + day_volume25 + day_volume29) * price5 + 
    day_volume6 * price6)

date1 = '1号'
name1 = '羽绒服'
price1 = 253.6
num1 = 500
day_volume1 = 10
date2 = '2号'
name2 = '牛仔裤'
price2 = 86.3
num2 = 600
day_volume2 = 60
date3 = '3号'
name3 = '风衣'
price3 = 96.8
num3 = 335
day_volume3 = 43
date4 = '4号'
name4 = '皮草'
price4 = 135.9
num4 = 855
day_volume4 = 63
date5 = '5号'
name5 = 'T恤'
price5 = 65.8
num5 = 632
day_volume5 = 63
date6 = '6号'
name6 = '衬衫'
price6 = 49.3
num6 = 562
day_volume6 = 120
date7 = '7号'
name7 = '牛仔裤'
price7 = 86.3
num7 = 600
day_volume7 = 72
date8 = '18号'
name8 = '羽绒服'
price8 = 253.6
num8 = 500
day_volume8 = 69
date9 = '9号'
name9 = '牛仔裤'
price9 = 86.3
num9 = 600
day_volume9 = 35
date10 = '0号'
name10 = '羽绒服'
price10 = 253.6
num10 = 500
day_volume10 = 140
date11 = '11号'
name11 = '牛仔裤'
price11 = 86.3
num11 = 600
day_volume11 = 90
date12 = '12号'
name12 = '皮草'
price12 = 135.9
num12 = 855
day_volume12 = 24
date13 = '13号'
name13 = 'T恤'
price13 = 65.8
num13 = 632
day_volume13 = 45
date14 = '14号'
name14 = '风衣'
price14 = 96.8
num14 = 335
day_volume14 = 25
date15 = '15号'
name15 = '牛仔裤'
price15 = 86.3
num15 = 600
day_volume15 = 60
date16 = '16号'
name16 = 'T恤'
price16 = 65.8
num16 = 632
day_volume16 = 129
date17 = '17号'
name17 = '羽绒服'
price17 = 253.6
num17 = 500
day_volume17 = 10
date18 = '18号'
name18 = '风衣'
price18 = 96.8
num18 = 335
day_volume18 = 43
date19 = '19号'
name19 = 'T恤'
price19 = 65.8
num19 = 632
day_volume19 = 63
date20 = '20号'
name20 = '牛仔裤'
price20 = 86.3
num20 = 600
day_volume20 = 60
date21 = '21号'
name21 = '皮草'
price21 = 135.9
num21 = 855
day_volume21 = 63
date22 = '22号'
name22 = '风衣'
price22 = 96.8
num22 = 335
day_volume22 = 60
date23 = '23号'
name23 = 'T恤'
price23 = 65.8
num23 = 632
day_volume23 = 58
date24 = '24号'
name24 = '牛仔裤'
price24 = 86.3
num24 = 600
day_volume24 = 140
date25 = '25号'
name25 = 'T恤'
price25 = 65.8
num25 = 632
day_volume25 = 48
date26 = '26号'
name26 = '风衣'
price26 = 96.8
num26 = 335
day_volume26 = 43
date27 = '27号'
name27 = '皮草'
price27 = 135.9
num27 = 855
day_volume27 = 57
date28 = '1号'
name28 = '羽绒服'
price28 = 253.6
num28 = 500
day_volume28 = 10
date29 = '29号'
name29 = 'T恤'
price29 = 65.8
num29 = 632
day_volume29 = 63
date30 = '30号'
name30 = '风衣'
price30 = 96.8
num30 = 335
day_volume30 = 78
print('————————————————————————————12月份衣服销售数据————————————————————————————')
print('日期\t\t\t服装名称\t\t\t价格/件\t\t\t库存数量\t\t\t销售量/每日')
print('-----------------------------------------------------------------------'
    )
print(date1, '\t\t', name1, '\t\t\t', price1, '\t\t\t', num1, '\t\t\t',
    day_volume1)
print(date2, '\t\t', name2, '\t\t\t', price2, '\t\t\t', num2, '\t\t\t',
    day_volume2)
print(date3, '\t\t', name3, '\t\t\t', price3, '\t\t\t', num3, '\t\t\t',
    day_volume3)
print(date4, '\t\t', name4, '\t\t\t', price4, '\t\t\t', num4, '\t\t\t',
    day_volume4)
print(date5, '\t\t', name5, '\t\t\t', price5, '\t\t\t', num5, '\t\t\t',
    day_volume5)
print(date6, '\t\t', name6, '\t\t\t', price6, '\t\t\t', num6, '\t\t\t',
    day_volume6)
print(date7, '\t\t', name7, '\t\t\t', price7, '\t\t\t', num7, '\t\t\t',
    day_volume7)
print(date8, '\t\t', name8, '\t\t\t', price8, '\t\t\t', num8, '\t\t\t',
    day_volume8)
print(date9, '\t\t', name9, '\t\t\t', price9, '\t\t\t', num9, '\t\t\t',
    day_volume9)
print(date10, '\t\t', name10, '\t\t\t', price10, '\t\t\t', num10, '\t\t\t',
    day_volume10)
print(date11, '\t\t', name11, '\t\t\t', price11, '\t\t\t', num11, '\t\t\t',
    day_volume11)
print(date12, '\t\t', name12, '\t\t\t', price12, '\t\t\t', num12, '\t\t\t',
    day_volume12)
print(date13, '\t\t', name13, '\t\t\t', price13, '\t\t\t', num13, '\t\t\t',
    day_volume13)
print(date14, '\t\t', name14, '\t\t\t', price14, '\t\t\t', num14, '\t\t\t',
    day_volume14)
print(date15, '\t\t', name15, '\t\t\t', price15, '\t\t\t', num15, '\t\t\t',
    day_volume15)
print(date16, '\t\t', name16, '\t\t\t', price16, '\t\t\t', num16, '\t\t\t',
    day_volume16)
print(date17, '\t\t', name17, '\t\t\t', price17, '\t\t\t', num17, '\t\t\t',
    day_volume17)
print(date18, '\t\t', name18, '\t\t\t', price18, '\t\t\t', num18, '\t\t\t',
    day_volume18)
print(date19, '\t\t', name19, '\t\t\t', price19, '\t\t\t', num19, '\t\t\t',
    day_volume19)
print(date20, '\t\t', name20, '\t\t\t', price20, '\t\t\t', num20, '\t\t\t',
    day_volume20)
print(date21, '\t\t', name21, '\t\t\t', price21, '\t\t\t', num21, '\t\t\t',
    day_volume21)
print(date22, '\t\t', name22, '\t\t\t', price22, '\t\t\t', num22, '\t\t\t',
    day_volume22)
print(date23, '\t\t', name23, '\t\t\t', price23, '\t\t\t', num23, '\t\t\t',
    day_volume23)
print(date24, '\t\t', name24, '\t\t\t', price24, '\t\t\t', num24, '\t\t\t',
    day_volume24)
print(date25, '\t\t', name25, '\t\t\t', price25, '\t\t\t', num25, '\t\t\t',
    day_volume25)
print(date26, '\t\t', name26, '\t\t\t', price26, '\t\t\t', num26, '\t\t\t',
    day_volume26)
print(date27, '\t\t', name27, '\t\t\t', price27, '\t\t\t', num27, '\t\t\t',
    day_volume27)
print(date28, '\t\t', name28, '\t\t\t', price28, '\t\t\t', num28, '\t\t\t',
    day_volume28)
print(date29, '\t\t', name29, '\t\t\t', price29, '\t\t\t', num29, '\t\t\t',
    day_volume29)
print(date30, '\t\t', name30, '\t\t\t', price30, '\t\t\t', num30, '\t\t\t',
    day_volume30)
print('-----------------------------------------------------------------------'
    )
print('每件衣服的销售占比：', (day_volume1 + day_volume2 + day_volume3 + day_volume4 +
    day_volume5 + day_volume6 + day_volume1 + day_volume7 + day_volume8 +
    day_volume9 + day_volume10 + day_volume11 + day_volume12 + day_volume13 +
    day_volume14 + day_volume15 + day_volume16 + day_volume17 +
    day_volume18 + day_volume19 + day_volume20 + day_volume21 +
    day_volume22 + day_volume23 + day_volume24 + day_volume25 +
    day_volume26 + day_volume27 + day_volume28 + day_volume29 +
    day_volume30) / (num1 + num2 + num3 + num4 + num5 + num6))
print('羽绒服销售占比：', (day_volume1 + day_volume8 + day_volume10 + day_volume17 +
    day_volume28) / num1)
print('牛仔裤销售占比：', (day_volume2 + day_volume7 + day_volume9 + day_volume11 +
    day_volume15 + day_volume20 + day_volume24) / num2)
print('风衣销售占比：', (day_volume3 + day_volume14 + day_volume18 + day_volume22 +
    day_volume26 + day_volume30) / num3)
print('皮草裤销售占比：', (day_volume4 + day_volume12 + day_volume21 + day_volume27
    ) / num4)
print('T血裤销售占比：', (day_volume5 + day_volume13 + day_volume16 + day_volume19 +
    day_volume23 + day_volume25 + day_volume29) / num5)
print('衬衫裤销售占比：', day_volume6 / num6)
print('本月总销售额为：￥', (day_volume1 + day_volume8 + day_volume10 + day_volume17 +
    day_volume28) * price1 + (day_volume2 + day_volume7 + day_volume9 +
    day_volume11 + day_volume15 + day_volume20 + day_volume24) * price2 + (
    day_volume3 + day_volume14 + day_volume18 + day_volume22 + day_volume26 +
    day_volume30) * price3 + (day_volume4 + day_volume12 + day_volume21 +
    day_volume27) * price4 + (day_volume5 + day_volume13 + day_volume16 +
    day_volume19 + day_volume23 + day_volume25 + day_volume29) * price5 + 
    day_volume6 * price6)


#1号羽绒服销量数据
date1 = "1号"
name1 = "羽绒服"
price1 = 253.6
num1 = 500
day_volume1 = 10

#2号牛仔裤销量数据
date2 = "2号"
name2 = "牛仔裤"
price2 = 86.3
num2 = 600
day_volume2 = 60

#3号风衣销量数据
date3 = "3号"
name3 = "风衣"
price3 = 96.8
num3 = 335
day_volume3 = 43

#4号皮草销量数据
date4 = "4号"
name4 = "皮草"
price4 = 135.9
num4 = 855
day_volume4 = 63

#5号T恤销量数据
date5 = "5号"
name5 = "T恤"
price5 = 65.8
num5 = 632
day_volume5 = 63


#6号衬衫销量数据
date6 = "6号"
name6 = "衬衫"
price6 = 49.3
num6 = 562
day_volume6 = 120

#7号牛仔裤销量数据
date7 = "7号"
name7 = "牛仔裤"
price7 = 86.3
num7 = 600
day_volume7 = 72

#8号羽绒服销量数据
date8 = "18号"
name8 = "羽绒服"
price8 = 253.6
num8 = 500
day_volume8 = 69

#9号牛仔裤销量数据
date9 = "9号"
name9 = "牛仔裤"
price9 = 86.3
num9 = 600
day_volume9 = 35

#10号羽绒服销量数据
date10 = "0号"
name10 = "羽绒服"
price10 = 253.6
num10 = 500
day_volume10 = 140

#11号牛仔裤销量数据
date11 = "11号"
name11 = "牛仔裤"
price11 = 86.3
num11 = 600
day_volume11 = 90

#12号皮草销量数据
date12 = "12号"
name12 = "皮草"
price12 = 135.9
num12 = 855
day_volume12 = 24

#13号T恤销量数据
date13 = "13号"
name13 = "T恤"
price13 = 65.8
num13 = 632
day_volume13 = 45

#14号风衣销量数据
date14 = "14号"
name14 = "风衣"
price14 = 96.8
num14 = 335
day_volume14 = 25

#15号牛仔裤销量数据
date15 = "15号"
name15 = "牛仔裤"
price15 = 86.3
num15 =600
day_volume15 = 60

#16号T恤销量数据
date16 = "16号"
name16 = "T恤"
price16 = 65.8
num16 = 632
day_volume16 = 129

#17号羽绒服销量数据
date17 = "17号"
name17 = "羽绒服"
price17 = 253.6
num17 = 500
day_volume17 = 10

#18号风衣销量数据
date18 = "18号"
name18 = "风衣"
price18 = 96.8
num18 = 335
day_volume18 = 43

#19号销量数据
date19 = "19号"
name19 = "T恤"
price19 = 65.8
num19 = 632
day_volume19 = 63

#20号牛仔裤销量数据
date20 = "20号"
name20 = "牛仔裤"
price20 = 86.3
num20 = 600
day_volume20 = 60

#21号皮草销量数据
date21 = "21号"
name21 = "皮草"
price21 = 135.9
num21 = 855
day_volume21 = 63

#22号风衣销量数据
date22 = "22号"
name22 = "风衣"
price22 = 96.8
num22 = 335
day_volume22 = 60

#23号T恤销量数据
date23 = "23号"
name23 = "T恤"
price23 = 65.8
num23 = 632
day_volume23 = 58

#24号牛仔裤销量数据
date24 = "24号"
name24 = "牛仔裤"
price24 = 86.3
num24 = 600
day_volume24 = 140

#25号T恤销量数据
date25 = "25号"
name25 = "T恤"
price25 = 65.8
num25 = 632
day_volume25 = 48

#26号风衣销量数据
date26 = "26号"
name26 = "风衣"
price26 = 96.8
num26 = 335
day_volume26 = 43

#27号皮草销量数据
date27 = "27号"
name27 = "皮草"
price27 = 135.9
num27 = 855
day_volume27 = 57

#28号羽绒服销量数据
date28 = "1号"
name28 = "羽绒服"
price28 = 253.6
num28 = 500
day_volume28 = 10

#29号羽绒服销量数据
date29 = "29号"
name29 = "T恤"
price29 = 65.8
num29 = 632
day_volume29 = 63

#30号风衣销量数据
date30 = "30号"
name30 = "风衣"
price30 = 96.8
num30 = 335
day_volume30 = 78

print("————————————————————————————12月份衣服销售数据————————————————————————————")
print("日期\t\t\t服装名称\t\t\t价格/件\t\t\t库存数量\t\t\t销售量/每日")
print("-----------------------------------------------------------------------")
print(date1,"\t\t",name1,"\t\t\t",price1,"\t\t\t",num1,"\t\t\t",day_volume1)
print(date2,"\t\t",name2,"\t\t\t",price2,"\t\t\t",num2,"\t\t\t",day_volume2)
print(date3,"\t\t",name3,"\t\t\t",price3,"\t\t\t",num3,"\t\t\t",day_volume3)
print(date4,"\t\t",name4,"\t\t\t",price4,"\t\t\t",num4,"\t\t\t",day_volume4)
print(date5,"\t\t",name5,"\t\t\t",price5,"\t\t\t",num5,"\t\t\t",day_volume5)
print(date6,"\t\t",name6,"\t\t\t",price6,"\t\t\t",num6,"\t\t\t",day_volume6)
print(date7,"\t\t",name7,"\t\t\t",price7,"\t\t\t",num7,"\t\t\t",day_volume7)
print(date8,"\t\t",name8,"\t\t\t",price8,"\t\t\t",num8,"\t\t\t",day_volume8)
print(date9,"\t\t",name9,"\t\t\t",price9,"\t\t\t",num9,"\t\t\t",day_volume9)
print(date10,"\t\t",name10,"\t\t\t",price10,"\t\t\t",num10,"\t\t\t",day_volume10)
print(date11,"\t\t",name11,"\t\t\t",price11,"\t\t\t",num11,"\t\t\t",day_volume11)
print(date12,"\t\t",name12,"\t\t\t",price12,"\t\t\t",num12,"\t\t\t",day_volume12)
print(date13,"\t\t",name13,"\t\t\t",price13,"\t\t\t",num13,"\t\t\t",day_volume13)
print(date14,"\t\t",name14,"\t\t\t",price14,"\t\t\t",num14,"\t\t\t",day_volume14)
print(date15,"\t\t",name15,"\t\t\t",price15,"\t\t\t",num15,"\t\t\t",day_volume15)
print(date16,"\t\t",name16,"\t\t\t",price16,"\t\t\t",num16,"\t\t\t",day_volume16)
print(date17,"\t\t",name17,"\t\t\t",price17,"\t\t\t",num17,"\t\t\t",day_volume17)
print(date18,"\t\t",name18,"\t\t\t",price18,"\t\t\t",num18,"\t\t\t",day_volume18)
print(date19,"\t\t",name19,"\t\t\t",price19,"\t\t\t",num19,"\t\t\t",day_volume19)
print(date20,"\t\t",name20,"\t\t\t",price20,"\t\t\t",num20,"\t\t\t",day_volume20)
print(date21,"\t\t",name21,"\t\t\t",price21,"\t\t\t",num21,"\t\t\t",day_volume21)
print(date22,"\t\t",name22,"\t\t\t",price22,"\t\t\t",num22,"\t\t\t",day_volume22)
print(date23,"\t\t",name23,"\t\t\t",price23,"\t\t\t",num23,"\t\t\t",day_volume23)
print(date24,"\t\t",name24,"\t\t\t",price24,"\t\t\t",num24,"\t\t\t",day_volume24)
print(date25,"\t\t",name25,"\t\t\t",price25,"\t\t\t",num25,"\t\t\t",day_volume25)
print(date26,"\t\t",name26,"\t\t\t",price26,"\t\t\t",num26,"\t\t\t",day_volume26)
print(date27,"\t\t",name27,"\t\t\t",price27,"\t\t\t",num27,"\t\t\t",day_volume27)
print(date28,"\t\t",name28,"\t\t\t",price28,"\t\t\t",num28,"\t\t\t",day_volume28)
print(date29,"\t\t",name29,"\t\t\t",price29,"\t\t\t",num29,"\t\t\t",day_volume29)
print(date30,"\t\t",name30,"\t\t\t",price30,"\t\t\t",num30,"\t\t\t",day_volume30)
print("-----------------------------------------------------------------------")
print("每件衣服的销售占比：",((day_volume1+day_volume2+day_volume3+day_volume4+day_volume5+day_volume6+day_volume1+day_volume7
                     +day_volume8+day_volume9+day_volume10+day_volume11+day_volume12+day_volume13+day_volume14+day_volume15
                     +day_volume16+day_volume17+day_volume18+day_volume19+day_volume20+day_volume21+day_volume22+day_volume23
                     +day_volume24+day_volume25+day_volume26+day_volume27+day_volume28+day_volume29+day_volume30)/(num1+num2+num3+num4+num5+num6)))
print("羽绒服销售占比：",((day_volume1+day_volume8+day_volume10+day_volume17+day_volume28)/num1))
print("牛仔裤销售占比：",((day_volume2+day_volume7+day_volume9+day_volume11+day_volume15+day_volume20+day_volume24)/num2))
print("风衣销售占比：",((day_volume3+day_volume14+day_volume18+day_volume22+day_volume26+day_volume30)/num3))
print("皮草裤销售占比：",((day_volume4+day_volume12+day_volume21+day_volume27)/num4))
print("T血裤销售占比：",((day_volume5+day_volume13+day_volume16+day_volume19+day_volume23+day_volume25+day_volume29)/num5))
print("衬衫裤销售占比：",(day_volume6/num6))
print("本月总销售额为：￥",(((day_volume1+day_volume8+day_volume10+day_volume17+day_volume28)*price1)+((day_volume2+day_volume7+day_volume9+day_volume11+day_volume15+day_volume20+day_volume24)*price2)
      +((day_volume3+day_volume14+day_volume18+day_volume22+day_volume26+day_volume30)*price3)+((day_volume4+day_volume12+day_volume21+day_volume27)*price4)
+((day_volume5+day_volume13+day_volume16+day_volume19+day_volume23+day_volume25+day_volume29)*price5)+(day_volume6*price6)))