day9-pyecharts simple operation

1 Install pyecharts and use it simply

pyecharts official documentation:
https://pyecharts.org/#/zh-cn/intro
pyecharts official documentation

Note! The following is rendered in jupyter notebook, not pycharm

Be sure to read the official documents carefully!!!
Be sure to read the official documents carefully!!!
Be sure to read the official documents carefully!!!

#终端pip安装
pip install pyecharts

#查看一下安装的版本
import pyecharts

pyecharts.__version__

# 示例
from pyecharts.charts import Bar

bar = Bar()
bar.add_xaxis(["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"])
bar.add_yaxis("商家A", [5, 20, 36, 10, 75, 90])
# render 会生成本地 HTML 文件，默认会在当前目录生成 render.html 文件
# 也可以传入路径参数，如 bar.render("charts.html")
bar.render()

1.2 Using notebook

# 在jupyter notebook 中直接渲染，非常方便调试
bar = Bar()
bar.add_xaxis(["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"])
bar.add_yaxis("商家A",[5,20,35,12,70,89])
# bar.add_yaxis("商家B",[10,60,45,17,60,54])
# 生成本地html文件，默认render.html
bar.render('mybar.html')

# 在 notebook 渲染
bar.render_notebook()

from pyecharts.charts import Bar
from pyecharts import options as opts

# V1 版本开始支持链式调用
# 你所看到的格式其实是 `black` 格式化以后的效果
# 可以执行 `pip install black` 下载使用
#bar = (
#    Bar()
#    .add_xaxis(["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"])
#    .add_yaxis("商家A", [5, 20, 36, 10, 75, 90])
#    .set_global_opts(title_opts=opts.TitleOpts(title="主标题", subtitle="副标题"))
#    # 或者直接使用字典参数
#    # .set_global_opts(title_opts={"text": "主标题", "subtext": "副标题"})
#)
#bar.render()

# 不习惯链式调用的开发者依旧可以单独调用方法
bar = Bar()
bar.add_xaxis(["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"])
bar.add_yaxis("商家A", [5, 20, 36, 10, 75, 90])
bar.set_global_opts(title_opts=opts.TitleOpts(title="主标题", subtitle="副标题"))
bar.render('test1.html')

# 在 notebook 渲染
bar.render_notebook()

from pyecharts import options as opts
from pyecharts.charts import Bar
#Faker 可以生成各种类型的随机数据，例如数字、字符串、日期等，常用于在图表中生成模拟数据。
from pyecharts.faker import Faker


c=(
    #链式调用,比较符合前段语法
    Bar()
    .add_xaxis(Faker.choose())
    .add_yaxis("商家A",Faker.values())
    .set_global_opts(title_opts=opts.TitleOpts(title='Bar-基本实例',subtitle="我是副标题"))

)

c.render_notebook()

1.3 Theme settings

from pyecharts import options as opts  # 配置项功能
from pyecharts.charts import Bar
from pyecharts.faker import Faker
from pyecharts.globals import ThemeType  # 绘图主题功能


c = (
    # 链式调用, 比较符合前端语法
    Bar(init_opts=opts.InitOpts(theme=ThemeType.DARK))  # 初始化配置项
    .add_xaxis(Faker.choose())
    .add_yaxis("商家A", Faker.values())
    .set_global_opts(title_opts=opts.TitleOpts(title="Bar-基本示例", subtitle="我是副标题"))
)
c.render_notebook()

2 Global configuration items

Global configuration items can set_global_optsbe set through the method

2.1 Initialize configuration items

from pyecharts import options as opts # 配置项功能
from pyecharts.charts import Bar
from pyecharts.faker import Faker # 虚假数据模块
from pyecharts.globals import ThemeType  #绘图主题功能

c=(
    Bar(
        #初始化配置项,写到图像初始化对象的括号里
        init_opts=opts.InitOpts(
            width='500px',
            height='300px',
            bg_color='Cyan',
            theme=ThemeType.DARK
        )
    )
    .add_xaxis(Faker.choose())
    .add_yaxis("商家A",Faker.values())
    .set_global_opts(title_opts=opts.TitleOpts(title="Bar-基本示例",subtitle="我是副级标题"))

)


c.render_notebook()

2.2 Title configuration items

from pyecharts import options as opts # 配置项功能
from pyecharts.charts import Bar
from pyecharts.faker import Faker # 虚假数据模块
from pyecharts.globals import ThemeType  #绘图主题功能

c=(
    Bar()
    .add_xaxis(Faker.choose())
    .add_yaxis("商家A",Faker.values())
    .set_global_opts(
        # 标题配置项
        opts.TitleOpts(
            title='我是主标题',  # 主标题文本
            title_link='https://www.baidu.com',  # 主标题跳转链接
            subtitle='我是副标题', # 副标题文本,
            subtitle_link='https://www.douban.com',  # 副标题跳转链接
            pos_left='50%',  # 左边距
            pos_top='20px',  # 顶部边距
            # 修改文字样式
            title_textstyle_opts=opts.TextStyleOpts(color='red')
        )
    )
        

)
c.render_notebook()

2.3 Area scaling configuration items

from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.faker import Faker
from pyecharts.globals import ThemeType

c=(
    Bar()
    .add_xaxis(['北京','北京','北京','北京','北京','北京','北京'])
    .add_yaxis("商家A",[34,35,36,75,85,84,20])
    
    .set_global_opts(
        title_opts=opts.TitleOpts(title='我是主标题'),
        # 区域缩放配置项
        datazoom_opts=opts.DataZoomOpts(
#             type_='inside',#组件类型 inside内链式,默认是slider滑动式
            orient='vertical' #垂直布局,对于Y轴进行区域缩放
        )
        
    )
)
c.render_notebook()

2.4 Legend configuration items

from pyecharts import options as opts  # 配置项功能
from pyecharts.charts import Bar
from pyecharts.faker import Faker  # 虚假数据模块
from pyecharts.globals import ThemeType  # 绘图主题功能

c = (
    Bar()
    .add_xaxis(Faker.choose())
    .add_yaxis("商家A", Faker.values())
    .add_yaxis("商家B", Faker.values())
    .add_yaxis("商家C", Faker.values())
    .add_yaxis("商家D", Faker.values())
    .add_yaxis("商家E", Faker.values())
    .add_yaxis("商家F", Faker.values())
    .add_yaxis("商家G", Faker.values())
    .add_yaxis("商家H", Faker.values())
    .add_yaxis("商家I", Faker.values())
    .add_yaxis("商家J", Faker.values())
    .add_yaxis("商家K", Faker.values())
    .add_yaxis("商家L", Faker.values())
    .add_yaxis("商家M", Faker.values())
    .add_yaxis("商家N", Faker.values())
    .add_yaxis("商家O", Faker.values())

    .set_global_opts(
        title_opts=opts.TitleOpts(title='我是主标题'),
        
        # 区域缩放配置项
        datazoom_opts=opts.DataZoomOpts(is_show=False),
        
        # 图例配置项
        legend_opts=opts.LegendOpts(
            type_='scroll',
            pos_left='20%',
            legend_icon='circle', #图例样式
#             orient='virtical',
            page_icon_size=30,
            is_page_animation=True  # 用于判断页面是否具有动画效果
        )
    )
)

c.render_notebook()

2.5 Visual mapping configuration items

from pyecharts import options as opts
from pyecharts.charts import Map
from pyecharts.faker import Faker

c=(
    Map()
    .add("test1",[list(z) for z in zip(Faker.guangdong_city,Faker.values())],"广东")
    .set_global_opts(
        title_opts=opts.TitleOpts(title="Map-广东地图"),
        
        #视觉映射配置项,常用于地图
        visualmap_opts=opts.VisualMapOpts(
            is_piecewise=True,
#             orient='virtical'
            orient='horizontal'
        )
    )

)

c.render_notebook()

2.6 Toolbox configuration items

from pyecharts import options as opts  # 配置项功能
from pyecharts.charts import Bar
from pyecharts.faker import Faker  # 虚假数据模块
from pyecharts.globals import ThemeType  # 绘图主题功能

c = (
    Bar()
    .add_xaxis(Faker.choose())
    .add_yaxis("A", Faker.values())
    .add_yaxis("B", Faker.values())
    .add_yaxis("C", Faker.values())
    
    
    .set_global_opts(
        # 标题配置项
        title_opts=opts.TitleOpts(title='我是主标题'),
        
        # 区域缩放配置项
        datazoom_opts=opts.DataZoomOpts(is_show=False),
        
        # 图例配置项
        legend_opts=opts.LegendOpts(),
        
        # 工具箱配置项
        toolbox_opts=opts.ToolboxOpts(
            orient='vertical',
            pos_left="80%",
            feature=opts.ToolBoxFeatureOpts(
                save_as_image=opts.ToolBoxFeatureSaveAsImageOpts(is_show=True)
                #save_as_image=opts.ToolBoxFeatureSaveAsImageOpts(is_show=False) 是在使用 pyecharts 库创建一个图表时，设置保存为图片的选项。其中，opts.ToolBoxFeatureSaveAsImageOpts(is_show=False) 是一个 ToolBoxFeatureSaveAsImageOpts 类的实例化对象，用于配置保存为图片的功能。
#is_show=False 表示在生成的图片中不显示保存按钮。如果设置为 True，则在图片中会显示一个保存按钮，用户可以通过点击该按钮将图表保存为图片文件。
            )
        )
    )
)
c.render_notebook()

2.7 Prompt box configuration items

from pyecharts import options as opts  # 配置项功能
from pyecharts.charts import Bar
from pyecharts.faker import Faker  # 虚假数据模块
from pyecharts.globals import ThemeType  # 绘图主题功能

c = (
    Bar()
    .add_xaxis(Faker.choose())
    .add_yaxis("商家A", Faker.values())
    .add_yaxis("商家B", Faker.values())
    .add_yaxis("商家C", Faker.values())
    
    
    .set_global_opts(
        # 标题配置项
        title_opts=opts.TitleOpts(title='我是主标题'),
        
        # 区域缩放配置项
        datazoom_opts=opts.DataZoomOpts(is_show=False),
        
        # 图例配置项
        legend_opts=opts.LegendOpts(),
        
        # 工具箱配置项
        toolbox_opts=opts.ToolboxOpts(is_show=True),
        
        # 提示框配置项
        tooltip_opts=opts.TooltipOpts(
            trigger_on='click',
#             axis_pointer_type='shadow'
        )
    )
)
c.render_notebook()

2.8 Coordinate axis configuration items

from pyecharts import options as opts  # 配置项功能
from pyecharts.charts import Bar
from pyecharts.faker import Faker  # 虚假数据模块
from pyecharts.globals import ThemeType  # 绘图主题功能

c = (
    Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT)).add_xaxis(
        Faker.choose()).add_yaxis("商家A", Faker.values()).add_yaxis(
            "商家B",
            Faker.values()).add_yaxis("商家C", Faker.values()).set_global_opts(
                # 标题配置项
                title_opts=opts.TitleOpts(title='我是主标题'),

                # 区域缩放配置项
                datazoom_opts=opts.DataZoomOpts(is_show=False),

                # 图例配置项
                legend_opts=opts.LegendOpts(),

                # 工具箱配置项
                toolbox_opts=opts.ToolboxOpts(is_show=True),

                # 提示框配置项
                tooltip_opts=opts.TooltipOpts(),

                # 坐标轴配置项, 需要在关键字基础上执行操作的轴
                xaxis_opts=opts.AxisOpts(
                    name='X轴',
                    name_location='center',
                    name_gap=20,
                    name_rotate=60,
                    axistick_opts=opts.AxisTickOpts(is_inside=True)),
                yaxis_opts=opts.AxisOpts(
                    name='Y轴',
                    name_location='center',
                    name_gap=20,
                    name_rotate=60,
                    axistick_opts=opts.AxisTickOpts(is_inside=True))))
c.render_notebook()