各位领导、同事：
大家好！
以下是2020年4月份华南采购中心各部门“每日特采单品”明细及其汇总信息。
请各位部门与品类负责人多多关注及跟进。
详情请参阅附件。
谢谢！
①
由以下两图观察分析可见，4月5日打折入库的单品个数最多，为10个；4月6日打折入库的单品个数最少，为0个。4月份平均每日约有3.03个单品被打折入库。
from pyecharts import options as opts
from pyecharts.charts import Map, Bar, Grid
from pyecharts.globals import ChartType, ThemeType
import random
# 添加
from pyecharts.charts import Line
date = ["4月1日","4月2日","4月3日","4月4日","4月5日","4月6日","4月7日","4月8日","4月9日","4月10日","4月11日","4月12日","4月13日","4月14日",
"4月15日","4月16日","4月17日","4月18日","4月19日","4月20日","4月21日","4月22日","4月23日","4月24日","4月25日","4月26日","4月27日",
"4月28日","4月29日","4月30日"]
data = [2,7,1,1,10,0,5,4,6,2,6,2,2,4,1,3,3,2,4,2,2,4,1,1,5,1,3,2,3,2]
bar = (Bar()
.add_xaxis(date)
.add_yaxis("每日打折入库单品个数", data)
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(
title_opts=opts.TitleOpts(title="每日打折入库单品个数")
)
)
line = (Line()
.add_xaxis(date)
.add_yaxis("每日打折入库单品个数", data,
markline_opts=opts.MarkLineOpts(data=[opts.MarkLineItem(type_="average")]))
.set_global_opts(title_opts=opts.TitleOpts(title="每天打折的数目变化", pos_top="48%"))
)
grid = (
Grid()
.add(bar, grid_opts=opts.GridOpts(pos_bottom="60%"))
.add(line, grid_opts=opts.GridOpts(pos_top="60%"))
)
grid.render_notebook()
# 客单
from pyecharts.charts import Line
from pyecharts import options as opts
date2 = ["4月1日","4月2日","4月3日","4月4日","4月5日","4月6日","4月7日","4月8日","4月9日","4月10日","4月11日","4月12日","4月13日","4月14日",
"4月15日","4月16日","4月17日","4月18日","4月19日","4月20日","4月21日","4月22日","4月23日","4月24日","4月25日","4月26日","4月27日",
"4月28日","4月29日","4月30日"]
data2 = [2,7,1,1,10,0,5,4,6,2,6,2,2,4,1,3,3,2,4,2,2,4,1,1,5,1,3,2,3,2]
line = (Line()
.add_xaxis(date2)
.add_yaxis("4月份每日打折验收单品", data2,
is_smooth=True,
markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(name="最大值",
coord=[date2[4], data2[4]], value=data2[4])]))
.set_global_opts(title_opts=opts.TitleOpts(title="每日变化趋势", subtitle="华南采购中心"))
)
line.render_notebook()
② 4月份打折入库的单品中，按部门划分，蔬菜最多，其次是水产、水果与综合，且各部门的占比分别为：39.56%，31.87%，18.68%，9.89%.
from pyecharts.charts import Funnel
from pyecharts import options as opts
# 示例数据
cate1 = ["蔬菜","水产","水果","综合"]
data1 = [36,29,17,9]
"""
漏斗图示例：
1. sort_控制排序，默认降序；
2. 标签显示位置
"""
funnel = (Funnel()
.add("打折单品个数", [list(z) for z in zip(cate1, data1)],
sort_='ascending',
label_opts=opts.LabelOpts(position="inside"))
.set_global_opts(title_opts=opts.TitleOpts(title="各部门打折单品比例", subtitle="2020年4月份"))
)
funnel.render_notebook()
from pyecharts.charts import Pie
from pyecharts import options as opts
# 示例数据
cate = ["蔬菜","水产","水果","综合"]
data = [36,29,17,9]
pie = (Pie()
.add('', [list(z) for z in zip(cate, data)],
radius=["30%", "75%"],
rosetype="radius")
.set_global_opts(title_opts=opts.TitleOpts(title="各部门打折单品占比", subtitle="2020年4月份"))
.set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {d}%"))
)
pie.render_notebook()
③ “进口青提”被打折的次数最多，其次是“乳山鲜生蚝（盒）”，数量分别为8个与6个；
每日打折入库单品个数的频次区间为[0,8],基本上每天都有1~2个单品被打折入库；众数为2，中位数为3.03，最大值为8，最小值为0，极差为8.
from pyecharts.charts import Bar
from pyecharts import options as opts
# 示例数据
goods = ["进口青提","乳山鲜生蚝(盒)","海瓜子","莲藕","吊筒(盒)","红番薯","大白菜","八爪鱼仔","云南鲜板栗",
"荔浦芋头","水豆腐","红糖馒头(4个装)","本地红萝卜","沃柑","进口香蕉","甜玉米","多春鱼","基围虾",
"山东水晶富士","菜心苗","海鲈鱼","进口加力果","鸡胸肉","沙白","小京包","黄牛牛肉","冬瓜","禾花鱼",
"包生菜","鲟龙鱼","番薯苗","蒜心","水粉","土豆","澄海酸菜","苦瓜","东方蜜瓜","桂花鱼","黄心白",
"白蘑菇(盒)","青口贝","娃娃菜(包)","谷物鲜鸡蛋","红洋葱"]
data3 = [8,6,4,4,4,4,4,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
bar = (Bar()
.add_xaxis(goods)
.add_yaxis("各单品打折次数", data3)
.set_global_opts(title_opts=opts.TitleOpts(title="各单品打折次数", subtitle="2020年4月份"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.reversal_axis()
)
bar.render_notebook()
from pyecharts.charts import Bar
from pyecharts import options as opts
# 示例数据
goods1 = ["禾花鱼","包生菜","鲟龙鱼","番薯苗","蒜心","水粉","土豆","澄海酸菜","苦瓜","东方蜜瓜","桂花鱼","黄心白",
"白蘑菇(盒)","青口贝","娃娃菜(包)","谷物鲜鸡蛋","红洋葱","八爪鱼仔","云南鲜板栗","荔浦芋头","水豆腐",
"红糖馒头(4个装)","本地红萝卜","沃柑","进口香蕉","甜玉米","多春鱼","基围虾","山东水晶富士","菜心苗",
"海鲈鱼","进口加力果","鸡胸肉","沙白","小京包","黄牛牛肉","冬瓜","海瓜子","莲藕","吊筒(盒)","红番薯",
"大白菜","乳山鲜生蚝(盒)","进口青提"]
data4 = [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,4,4,4,4,6,8]
bar = (Bar()
.add_xaxis(goods1)
.add_yaxis("各单品打折次数", data4)
.set_global_opts(title_opts=opts.TitleOpts(title="各单品打折次数", subtitle="2020年4月份"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.reversal_axis()
)
bar.render_notebook()
④
【4月份各部门每日打折入库单品明细】
来源：oschina
链接：https://my.oschina.net/u/3750423/blog/4263768