我正在学习使用pyecharts绘制Geo散点图，由于给定的散点大小参数symbol_size是固定值，而我想让它随着数值变化而改变大小，翻遍了csdn只有您的一篇文章有提到，我也知晓了要为其提供一个回调函数，具体在您2018年的这个文章https://blog.csdn.net/wojiushiwo945you/article/details/81205177?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522166783034816782414971402%2522%252C%2522scm%2522%253A%252220140713.130102334.pc%255Fall.%2522%257D&request_id=166783034816782414971402&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~first_rank_ecpm_v1~rank_v31_ecpm-19-81205177-null-null.142^v63^control,201^v3^add_ask,213^v1^t3_esquery_v1&utm_term=echarts%20Geo%E5%9B%BE%E7%9A%84%E5%9B%9E%E8%B0%83%E5%87%BD%E6%95%B0%E5%A6%82%E4%BD%95%E5%86%99&spm=1018.2226.3001.4187
但是我理解能力太差不能清楚的知晓如何使用它，希望您有空可以回答一下，这是我现在完成的样子和我想完成的效果
并附上我遇到问题的这部分代码
def create_Map():
map = Geo(init_opts=opts.InitOpts(width="1200px",height='600px'),
is_ignore_nonexistent_coord = False)
map.add_schema(maptype = 'china',
itemstyle_opts=opts.ItemStyleOpts(color='#CCCCCC',
border_color='#000000')
)
map.add(series_name = '累计感染人数',
data_pair = sum_data,
label_opts=opts.LabelOpts(is_show=True),
type_=ChartType.EFFECT_SCATTER,
symbol_size=8
)
map.set_global_opts(title_opts=opts.TitleOpts(title='2021年新冠累计确诊数据地图'),
visualmap_opts=opts.VisualMapOpts(min_ = 0,
max_ = 100,
is_piecewise= True,
pieces=[
{"min": 2001,"label": '>2000', "color": "#801C1B"},
{"min": 1001, "max": 2000, "label": '1001-2000', "color": "#FF3030"},
{"min": 501, "max": 1000, "label": '501-1000', "color": "#FF4500"},
{"min": 201, "max": 500, "label": '201-500', "color": "#FF7F50"},
{"min": 101, "max": 200, "label": '101-200', "color": "#FFA500"},
{"min": 11, "max": 100, "label": '11-100', "color": "#FFDEAD"},
{"max": 0,"label": '0-10', "color": "white"}
]
))
map.set_series_opts(label_opts=opts.LabelOpts(is_show=True,formatter='{b}',font_size=10,position="top"))
map.render("2021年新冠累计确诊数据地图.html")
