'commit'

Model/RenkouModel.py

@@ -1,129 +0,0 @@
-import json
-
-from pyecharts import options as opts
-from pyecharts.charts import Bar, Line
-from pyecharts.globals import CurrentConfig
-
-from Config.Config import ONLINE_HOST
-CurrentConfig.ONLINE_HOST = ONLINE_HOST
-
-class RenkouModel:
-    @staticmethod
-    def load_population_data():
-        try:
-            # 获取当前文件所在目录的父目录，然后找到Data文件夹
-            data_path = "./Data/RenKou.json"
-
-            with open(data_path, "r", encoding="utf-8") as f:
-                data = json.load(f)
-            return data
-        except Exception as e:
-            print(f"读取人口数据出错: {e}")
-            return []
-
-    @staticmethod
-    def generate_population_chart_config(year="2024"):
-        # 加载人口数据
-        population_data = RenkouModel.load_population_data()
-        # 筛选出州市级数据
-        cities = [item for item in population_data if len(item["area_code"]) == 9 and item["area_code"].endswith("000") and item["area_code"][4:6] == "00" and item["area_code"][2:8] != "000000"]
-        # 提取城市名称和人口数据
-        city_names = [city["area_name"] for city in cities]
-        total_populations = [city["total_population"].get(year, 0) for city in cities]
-        urban_populations = [city["urban_population"].get(year, 0) for city in cities]
-        rural_populations = [city["rural_population"].get(year, 0) for city in cities]
-
-        # 创建柱状图
-        c = (
-            Bar()
-            .add_xaxis(city_names)
-            .add_yaxis("总人口", total_populations, stack="stack1")
-            .add_yaxis("城镇人口", urban_populations, stack="stack1")
-            .add_yaxis("农村人口", rural_populations, stack="stack1")
-            .set_global_opts(
-                title_opts=opts.TitleOpts(
-                    title=f"云南省各州市人口分布图（{year}年）",
-                    pos_top="1%",
-                    pos_left="center"
-                ),
-                tooltip_opts=opts.TooltipOpts(
-                    trigger="axis",
-                    axis_pointer_type="shadow"
-                ),
-                legend_opts=opts.LegendOpts(
-                    pos_top="8%",
-                    pos_right="5%"
-                ),
-                datazoom_opts=[opts.DataZoomOpts()],
-                xaxis_opts=opts.AxisOpts(
-                    axislabel_opts=opts.LabelOpts(rotate=45)
-                ),
-                yaxis_opts=opts.AxisOpts(
-                    name="人口数量（万人）",
-                    name_location="middle",
-                    name_gap=40
-                )
-            )
-            .set_series_opts(
-                label_opts=opts.LabelOpts(is_show=False),
-                markline_opts=opts.MarkLineOpts(
-                    data=[opts.MarkLineItem(type_="average", name="平均值")]
-                )
-            )
-        )
-
-        # 获取图表的选项配置
-        options_str = c.dump_options_with_quotes()
-        return json.loads(options_str)
-
-    @staticmethod
-    def generate_urbanization_rate_chart_config():
-        # 加载人口数据
-        population_data = RenkouModel.load_population_data()
-
-        # 筛选出州市级数据
-        cities = [item for item in population_data if len(item["area_code"]) == 9 and item["area_code"].endswith("000") and item["area_code"][4:6] == "00" and item["area_code"][2:8] != "000000"]
-
-        # 提取城市名称
-        city_names = [city["area_name"] for city in cities]
-
-        # 创建折线图
-        line = (
-            Line()
-            .add_xaxis(city_names)
-        )
-
-        # 添加各年份的城镇化率数据
-        years = ["2020", "2021", "2022", "2023", "2024"]
-        for year in years:
-            urbanization_rates = [city["urbanization_rate"].get(year, 0) for city in cities]
-            line.add_yaxis(f"{year}年", urbanization_rates, 
-                          markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_="max")]))
-
-        line.set_global_opts(
-            title_opts=opts.TitleOpts(
-                title="云南省各州市城镇化率变化趋势",
-                pos_top="1%",
-                pos_left="center"
-            ),
-            tooltip_opts=opts.TooltipOpts(trigger="axis"),
-            legend_opts=opts.LegendOpts(
-                pos_top="8%",
-                pos_right="5%"
-            ),
-            datazoom_opts=[opts.DataZoomOpts()],
-            xaxis_opts=opts.AxisOpts(
-                axislabel_opts=opts.LabelOpts(rotate=45)
-            ),
-            yaxis_opts=opts.AxisOpts(
-                name="城镇化率（%）",
-                name_location="middle",
-                name_gap=40,
-                min_=0,
-                max_=100
-            )
-        )
-
-        # 获取图表的选项配置
-        options_str = line.dump_options_with_quotes()
-        return json.loads(options_str)