xaxis_opts: types.Axis = None, yaxis_opts: types.Axis = None, visualmap_opts: types.VisualMap = None, datazoom_opts: types.DataZoom = None, graphic_opts: types.Graphic = None, axispointer_opts: types.AxisPointer = None, ): 3. 代码实战 3.1 基础折线 x_data = ["周一", "周二", "周...
is_on_zero=False, linestyle_opts=opts.LineStyleOpts(color="#d14a61") ), axispointer_opts=opts.AxisPointerOpts( is_show=True, label=opts.LabelOpts(formatter=JsCode(js_formatter)) ), ), yaxis_opts=opts.AxisOpts( type_="value", splitline_opts=opts.SplitLineOpts( is_show=True, linestyle_op...
TitleOpts(title="关系网图添加背景图"), graphic_opts=[ opts.GraphicImage( graphic_item=opts.GraphicItem(id_="bg", right=0, top=0, z=-1, bounding="raw"), graphic_imagestyle_opts=opts.GraphicImageStyle( image="background_image.jpg", width=800, height=600 ), ) ], ) ) # 保存图表 ...
1 pip install pyecharts 代码实战 1. 基本关系网图 首先，让我们从一个基本的关系网图开始，展示实体之间的简单连接。 Plain Text 复制代码 99 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 from pyecharts import options as opts from pyecharts.charts import Graph # 构造节点和边 nodes = ...
TitleOpts(title=""), graphic_opts=graphics_lst, ))c.render("watermark.html") 18 饼图+时间轴组件 我们可以在饼图下面加一个时间轴,看一下随着时间的变化,各个类目是怎么来变化的 代码语言:javascript 复制 attr = Faker.choose()tl = Timeline()for i in range(2015, 2022): pie = ( Pie() ....
graphic_opts=[opts.GraphicGroup(graphic_item=opts.GraphicItem( rotation=JsCode("Math.PI / 4"), bounding="raw", right=110, bottom=110, z=100), children=[ opts.GraphicRect( graphic_item=opts.GraphicItem( left="center", top="center", z=100), ...
位置等visualmap_opts = opts.VisualMapOpts() # 视觉映射,例如按系列值的大小给元素着色toolbox_opts = opts.ToolboxOpts() # 在图中加入放大缩小,导出图片等工具按钮graphic_opts = [opts.GraphicGroup] # 加入自定义的图形,如多边形,水印等内容123456789经验总结要注意到 pyecharts.options 这个类,上述的两个...
在使用Pyecharts绘制图表时，若需添加背景框，可借助`add()`方法结合`Graphic`组件实现。具体步骤如下：首先，引入所需库：python from pyecharts.charts import Bar from pyecharts import options as opts from pyecharts.commons.utils import JsCode 然后，创建Bar图表实例，并添加数据：python bar ...
graphic_opts=[opts.GraphicImage(graphic_item=opts.GraphicItem(id_="logo", z=-10, bounding="raw", origin=[50, 100]),graphic_imagestyle_opts=opts.GraphicImageStyleOpts(image="coin.jpg",width=900,height=600,opacity=0.2,),)], 效果:
.set_series_opts( itemstyle_opts={ "normal": { "color": JsCode( """new echarts.graphic.LinearGradient(0, 0, 0, 1, [{ offset: 0, color: 'rgba(0, 244, 255, 1)' }, { offset: 1, color: 'rgba(0, 77, 167, 1)' }], false)""" ...