plotly-express-24-绘制漏斗图

2021-03-28 10:22:00 浏览数 (1)

Plotly-express-24-绘制漏斗图

本文中介绍的是如何利用plotly绘制漏斗，主要包含：

  • 基础漏斗图
  • 分组漏斗图
  • 面积漏斗图
  • 基于graph_objects实现的多种漏斗图

文中的数据大都是以电商中的UV-付款转化过程为漏斗进行分析。

基础漏斗

代码语言：txt复制
import plotly_express as px

data = dict(   # 创建原始数据
    number = [1000, 800, 400, 200, 100, 30],
    stage = ["UV", "搜索", "搜藏", "加购", "下单", "付款"]
)

# 设置数据和数轴
fig = px.funnel(data, x="number", y="stage")
fig.show()

上面的例子是通过plotly_express实现的，如何使用graph_objects 实现呢？

代码语言：txt复制
from plotly import graph_objects as go

fig = go.Figure(go.Funnel(
    x = [1000, 800, 400, 200, 100, 30],
    y = ["UV", "搜索", "搜藏", "加购", "下单", "付款"]))

fig.show()

分组漏斗图

代码语言：txt复制
import plotly_express as px
import pandas as pd

stages = ["UV", "搜索", "搜藏", "加购", "下单", "付款"]

df1 = pd.DataFrame(dict(
    number = [1000, 800, 400, 200, 100, 60],
    stage = stages
))


df1["time"] = "2021年1月"

df2 = pd.DataFrame(dict(
    number = [900, 820, 440, 310, 80, 25],
    stage = stages
))

df2["time"] = "2020年1月"

df = pd.concat([df1,df2],axis=0)

print(df)

fig = px.funnel(df, x="number", y="stage",color="time")
fig.show()

面积漏斗图

代码语言：txt复制
import plotly.express as px
fig = px.funnel_area(
    values = [1000, 800, 400, 200, 100, 30],
    names = ["UV", "搜索", "搜藏", "加购", "下单", "付款"]
)
fig.show()

使用graph_objects 实现漏斗图

基础漏斗
代码语言：txt复制
from plotly import graph_objects as go

fig = go.Figure(go.Funnel(
    x = [1000, 800, 400, 200, 100, 30],
    y = ["UV", "搜索", "搜藏", "加购", "下单", "付款"]))

fig.show()
改变漏斗颜色和大小
代码语言：txt复制
from plotly import graph_objects as go

fig = go.Figure(go.Funnel(
    x = [1000, 800, 400, 200, 100, 30],
    y = ["UV", "搜索", "搜藏", "加购", "下单", "付款"],
    textposition = "inside",
    textinfo = "value",
    opacity = 0.65,
    marker = {"color": ["deepskyblue", "lightsalmon", "tan", "teal", "silver"],
              "line": {"width": [4, 2, 2, 3, 1, 1],
                       "color": ["wheat", "wheat", "blue", "wheat", "wheat"]}},
    connector = {"line": {"color": "royalblue",
                          "dash": "dot",
                          "width": 3}})
    )

fig.show()
多组并排漏斗
代码语言：txt复制
from plotly import graph_objects as go

fig = go.Figure()

fig.add_trace(go.Funnel(
    name = '2020年1月',
    x = [900, 700, 440, 220, 80, 20],
    y = ["UV", "搜索", "搜藏", "加购", "下单", "付款"],
    textposition = "inside",
    textinfo = "value percent initial"))

fig.add_trace(go.Funnel(
    name = '2020年12月',
    orientation = "h",
    x = [1000, 900, 460, 300, 170, 50],
    y = ["UV", "搜索", "搜藏", "加购", "下单", "付款"],
    textposition = "inside",
    textinfo = "value percent previous"))

fig.add_trace(go.Funnel(
    name = '2021年1月',
    orientation = "h",
    x = [940, 770, 400, 340, 100, 30],
    y = ["UV", "搜索", "搜藏", "加购", "下单", "付款"],
    textposition = "outside",
    textinfo = "value percent total"))

fig.show()
面积漏斗Funnelarea
代码语言：txt复制
from plotly import graph_objects as go

fig = go.Figure(go.Funnelarea(
    values = [940, 770, 400, 340, 100, 30],
    text= ["UV", "搜索", "搜藏", "加购", "下单", "付款"]
))

fig.show()
面积漏斗中做标记
代码语言：txt复制
from plotly import graph_objects as go

fig = go.Figure(
    go.Funnelarea(
        values = [940, 770, 400, 340, 100, 30],
        text= ["UV","搜索","搜藏","加购","下单","付款"],
        marker = {"colors": ["deepskyblue", "lightsalmon", "tan", "teal", "silver"],
                  "line": {"color": ["wheat", "wheat", "blue", "wheat", "wheat"],
                           "width": [0, 1, 5, 0, 3]}},   # 外围线性宽度
        textfont = {"family": "Old Standard TT, serif",
                    "size": 13,
                    "color": "black"},
        opacity = 0.65))
fig.show()
多组面积漏斗图
代码语言：txt复制
from plotly import graph_objects as go

fig = go.Figure()  # 画布实例

fig.add_trace(go.Funnelarea(
    scalegroup = "first", # 组别
    values = [500, 450, 340, 230, 220, 110],  # 数据
    textinfo = "value",  # 漏斗中显示的内容
    title = {"position": "top center",  # 标题位置：顶部居中
             "text": "group 1"},  # 标题名称
    domain = {"x": [0, 0.5], "y": [0, 0.5]}))  # 图形位置

fig.add_trace(go.Funnelarea(
    scalegroup = "first",
    values = [600, 500, 400, 300, 200, 100],
    textinfo = "value",
    title = {"position": "top center",
             "text": "group 2"},
    domain = {"x": [0, 0.5], "y": [0.55, 1]}))

fig.add_trace(go.Funnelarea(
    scalegroup = "first",
    values = [510, 480, 440, 330, 220, 100],
    textinfo = "value",
    title = {"position": "top left",
             "text": "group 3"},
    domain = {"x": [0.55, 1], "y": [0, 0.5]}))

fig.add_trace(go.Funnelarea(
    scalegroup = "first",
    values = [360, 250, 240, 130, 120, 60],
    textinfo = "value",
    title = {"position": "top left",
             "text": "group 4"},
    domain = {"x": [0.55, 1], "y": [0.55, 1]}))

fig.update_layout(
    margin = {"l": 200, "r": 200},
    shapes = [
            {"x0": 0, "x1": 0.5, "y0": 0, "y1": 0.5},
            {"x0": 0, "x1": 0.5, "y0": 0.55, "y1": 1},
            {"x0": 0.55, "x1": 1, "y0": 0, "y1": 0.5},
            {"x0": 0.55, "x1": 1, "y0": 0.55, "y1": 1}
    ])

fig.show()

一切看似逝去的，都不曾离开，你所给与的爱与温暖，让我执着地守护着这里。

尤而小屋，一个温馨的小屋。小屋主人，一手代码谋求生存，一手掌勺享受生活，欢迎你的光临

express

0 人点赞