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...
axistick_opts=opts.AxisTickOpts(is_show=True), # 坐标轴标签配置项,参考 `series_options.LabelOpts` axislabel_opts: Union[LabelOpts, dict, None] = None, # 坐标轴指示器配置项,参考 `global_options.AxisPointerOpts` axispointer_opts: Union[AxisPointerOpts, dict, None] = None, # 坐标轴名称的文...
( Bar(init_opts=opts.InitOpts(theme=ThemeType.WHITE)) .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]) .add_yaxis("商家B", [15, 6, 45, 20, 35, 66]) .set_global_opts(title_opts=opts.TitleOpts(...
axistick_opts=opts.AxisTickOpts(is_align_with_label=True), axisline_opts=opts.AxisLineOpts( is_on_zero=False, linestyle_opts=opts.LineStyleOpts(color="#6e9ef1") ), axispointer_opts=opts.AxisPointerOpts( is_show=True, label=opts.LabelOpts(formatter=JsCode(js_formatter)) ), ), ) .add_y...
下图是我同时设置了x轴和y轴的指示线,x轴使用的"shadow",y轴使用的"line",这个时候我是没有设置tooltip_opts。但是呈现的效果就是鼠标放上去x轴和y轴所对应的值都会在提示框中展示。我期望的是只展示x轴的提示信息。 .set_global_opts(xaxis_opts=opts.AxisOpts(name="时间",axispointer_opts=opts.AxisPoint...
from pyecharts import options as opts from faker import Faker #initOpts 初始化配置项 c=( Bar(init_opts=opts.InitOpts(width='400px',height='300px',bg_color='#ccc')) .add_xaxis(Faker.choose()) .add_yaxis('商品',Faker.values()) ...
点点的标注:markpoint_opts=opts.MarkPointOpts()可以选择平均值/最小值/最大值标注,也可以自拟任意值 水平线的标注:markline_opts=opts.MarkLineOpts( ) from pyecharts import options as opts from pyecharts.charts import Bar from pyecharts.faker import Faker ...
axispointer_opts=opts.AxisPointerOpts(is_show=True, type_="shadow"), ), yaxis_opts=opts.AxisOpts( name="课程成绩", type_="value", min_=0, max_=100, interval=20, axislabel_opts=opts.LabelOpts(formatter="{value} 分"), # 设置坐标轴格式 ...
axispointer_opts=opts.AxisPointerOpts(is_show=True, type_="shadow"), ), yaxis_opts=opts.AxisOpts( name="水量", type_="value", min_=0, max_=250, interval=50, axislabel_opts=opts.LabelOpts(formatter="{value} ml"), axistick_opts=opts.AxisTickOpts(is_show=True), ...
xaxis=opts.AxisOpts( type_="category", axistick_opts=opts.AxisTickOpts(is_align_with_label=True), axisline_opts=opts.AxisLineOpts( is_on_zero=False, linestyle_opts=opts.LineStyleOpts(color="#6e9ef1") ), axispointer_opts=opts.AxisPointerOpts( is_show=True, label=opts.LabelOpts(formatter...