# import sys
# sys.path.append("../")
import pandas as pd
from pyecharts.faker import Faker
from pandasecharts import echart

products = Faker.choose()
dfs = []
for year in (2012, 2013, 2014, 2015):
    dfs.append(
        pd.DataFrame(
            zip(products, Faker.provinces, Faker.values(), Faker.values(), [year]*len(products)),
            columns=["商品", "省份", "商家A", "商家B", "年份"]
        )
    )
df = pd.concat(dfs, axis=0)

2012年商家A不同省份总销量分布

df.query("年份==2012").echart.geo("省份", "商家A", agg_func="sum", maptype="china", visualmap=True).render_notebook()

显示多个不同商家的省份情况

df.query("年份==2012").echart.geo("省份", ["商家A", "商家B"], agg_func="sum", maptype="china").render_notebook()

按照不同年份显示

df.echart.geo("省份", "商家A", agg_func="sum", maptype="china", by="年份", visualmap=True).render_notebook()

将年份作为时间轴显示

df.echart.geo("省份", "商家A", agg_func="sum", maptype="china", timeline="年份", visualmap=True).render_notebook()