目录
- [1 简介](#1 简介)
- [2 折线图](#2 折线图)
- [3 饼图](#3 饼图)
- [4 柱状图/条形图](#4 柱状图/条形图)
- [5 散点图](#5 散点图)
- [6 箱线图](#6 箱线图)
- [7 热力图](#7 热力图)
- [8 漏斗图](#8 漏斗图)
- [9 3D柱状图](#9 3D柱状图)
- [10 其他:配置项](#10 其他:配置项)
1 简介
Pyecharts是一款将python与echarts结合的强大的数据可视化工具
Pyecharts是一个用于生成echarts图表的类库。echarts是百度开源的一个数据可视化JS库,主要用于数据可视化。Pyecharts是Echarts与Python的结合
官网:https://pyecharts.org/#/zh-cn/intro
使用Pyecharts绘图时,建议直接从官网将相关demo复制下来,更换成自己的数据。若是想要进行修改,参考全局配置项以及系列配置项进行修改。
绘图前先导包
python
from pyecharts.faker import Faker
from pyecharts import options as opts
from pyecharts.globals import ThemeType
python
若上述代码执行不成功,请安装pyecharts1.7.1版本的包
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple pyecharts==1.7.1
下面是部分图形的基础展示
2 折线图
python
import pyecharts.options as opts
from pyecharts.charts import Line
from pyecharts.faker import Faker
c = (
Line()
.add_xaxis(Faker.choose())
.add_yaxis("商家A", Faker.values())
.add_yaxis("商家B", Faker.values())
.set_global_opts(title_opts=opts.TitleOpts(title="Line-基本示例"))
.render("line_base.html")
)
3 饼图
python
from pyecharts import options as opts
from pyecharts.charts import Pie
from pyecharts.faker import Faker
c = (
Pie()
.add("", [list(z) for z in zip(Faker.choose(), Faker.values())])
.set_global_opts(title_opts=opts.TitleOpts(title="Pie-基本示例"))
.set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
.render("pie_base.html")
)
4 柱状图/条形图
案例一
python
from pyecharts.charts import Bar
b = Bar(init_opts = opts.InitOpts(theme = ThemeType.WHITE,width = '620px',height = '420px')) #初始化
b.add_xaxis(['小米','红米','三星','华为']) #添加x轴数据,列表形式
b.add_yaxis('商家',[234,353,211,342])
b.set_global_opts(title_opts = opts.TitleOpts(title = '手机数据',subtitle = '数量'))
b.render('手机数据.html')
b.render_notebook() #实时显示
案例二
python
#可缩放的柱状图,适合数据量大,还要求可以细看的企业
x= ['小米','红米','三星','华为']
y = [234,353,211,342]
c = (
Bar()
.add_xaxis(x)
.add_yaxis("商家A", y, color='#42a5f5') #color填充16进制的数据
.set_global_opts(
title_opts=opts.TitleOpts(title="手机"),
datazoom_opts=opts.DataZoomOpts(type_="inside"),
)
.render("手机.html")
)
若想要在notebook中显示,需要修改上述代码,换成案例一,b.render_notebook的方式
5 散点图
python
from pyecharts import options as opts
from pyecharts.charts import Scatter
a = ['河马', '蟒蛇', '老虎', '大象', '兔子', '熊猫', '狮子']
b =[59, 94, 80, 145, 102, 67, 31]
c = (
Scatter()
.add_xaxis(a)
.add_yaxis("商家A", b)
.set_global_opts(
title_opts=opts.TitleOpts(title="Scatter-显示分割线"),
xaxis_opts=opts.AxisOpts(splitline_opts=opts.SplitLineOpts(is_show=True)),
yaxis_opts=opts.AxisOpts(splitline_opts=opts.SplitLineOpts(is_show=True)),
)
.render("scatter_splitline.html")
)
6 箱线图
python
from pyecharts import options as opts
from pyecharts.charts import Boxplot
v1 = [
[850, 740, 900, 1070, 930, 850, 950, 980, 980, 880, 1000, 980]
]
c = Boxplot()
c.add_xaxis(["expr1"])
c.add_yaxis("A", c.prepare_data(v1))
c.set_global_opts(title_opts=opts.TitleOpts(title="BoxPlot-基本示例"))
c.render("boxplot_base.html")
7 热力图
python
import random
from pyecharts import options as opts
from pyecharts.charts import HeatMap
from pyecharts.faker import Faker
value = [[i, j, random.randint(0, 50)] for i in range(24) for j in range(7)]
h = HeatMap()
h.add_xaxis(Faker.clock)
h.add_yaxis(
"series0", Faker.week, value, label_opts=opts.LabelOpts(position="middle")
)
h.set_global_opts(
title_opts=opts.TitleOpts(title="HeatMap-基本示例"),
visualmap_opts=opts.VisualMapOpts(),
)
h.render("heatmap_base.html")
8 漏斗图
python
from pyecharts import options as opts
from pyecharts.charts import Funnel
list_a = [['曝光', 178],
['浏览', 150],
['点击', 106],
['收藏', 46],
['购买', 15]]
c = (
Funnel()
.add("商品", list_a)
.set_global_opts(title_opts=opts.TitleOpts(title="Funnel-基本示例"))
.render("funnel_base.html")
)
9 3D柱状图
python
import random
from pyecharts import options as opts
from pyecharts.charts import Bar3D
from pyecharts.faker import Faker
data = [(i, j, random.randint(0, 12)) for i in range(6) for j in range(24)]
c = (
Bar3D()
.add(
"",
[[d[1], d[0], d[2]] for d in data],
xaxis3d_opts=opts.Axis3DOpts(Faker.clock, type_="category"),
yaxis3d_opts=opts.Axis3DOpts(Faker.week_en, type_="category"),
zaxis3d_opts=opts.Axis3DOpts(type_="value"),
)
.set_global_opts(
visualmap_opts=opts.VisualMapOpts(max_=20),
title_opts=opts.TitleOpts(title="Bar3D-基本示例"),
)
.render("bar3d_base.html")
)
10 其他:配置项
若想要修改标题的一些样式,可以通过:配置项------全局配置项------TitleOpts:标题配置项,若发现还有其他参数,则需要找相关的系列配置项,从而进行修改
例子:若是想要修改标题文本颜色,可以这样修改
python
#opts.TitleOpts进行添加
opts.TitleOpts(title="手机",title_textstyle_opts = opts.TextStyleOpts(color = 'pink'))