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HuangHai
2025-09-10 20:36:43 +08:00
parent 4d9e07a1a8
commit 3bf0d22d47
7 changed files with 1 additions and 188 deletions
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11
Controller/RuYuanZaiYuanCountController.py
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@@ -1,6 +1,5 @@
from fastapi import APIRouter
import json
from Model.RenkouModel import RenkouModel
from Model.RuYuanZaiYuanCountModel import RuYuanZaiYuanModel
# 创建APIRouter实例
@@ -11,14 +10,6 @@ router = APIRouter(prefix="/bigscreen", tags=["大屏展示"])
async def root():
return {"message": "Welcome to YunNan Education World!"}
@router.get("/population/chart/{year}")
async def get_population_chart_config(year: str = "2024"):
return RenkouModel.generate_population_chart_config(year)
@router.get("/population/urbanization")
async def get_urbanization_rate_chart_config():
return RenkouModel.generate_urbanization_rate_chart_config()
@router.get("/school/preschool/chart")
async def get_preschool_education_chart_config():
return RuYuanZaiYuanModel.generate_preschool_education_config()

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Controller/__pycache__/RuYuanZaiYuanCountController.cpython-310.pyc
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Model/RenkouModel.py
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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)

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static/preschool_education.html → static/RuYuanZaiYuanCount.html
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49
static/T1_Bar.html
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@@ -1,49 +0,0 @@
<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>云南教育决策研究服务系统</title>
<!-- 引入外部资源 -->
<script src="https://gcore.jsdelivr.net/npm/echarts@6.0.0/dist/echarts.min.js"></script>
<link rel="stylesheet" href="css/style.css">
</head>
<body>
<div class="header">
<h1>云南教育决策研究服务系统</h1>
<p>数据可视化展示平台</p>
</div>
<div class="chart-container">
<div class="tabs">
<div class="tab active" data-tab="population">人口数据图表</div>
<div class="tab" data-tab="urbanization">城镇化率图表</div>
</div>
<div class="tab-content active" id="population-tab">
<h2>云南省各州市人口分布</h2>
<div class="controls">
<select id="yearSelect">
<option value="2020">2020年</option>
<option value="2021">2021年</option>
<option value="2022">2022年</option>
<option value="2023">2023年</option>
<option value="2024" selected>2024年</option>
</select>
</div>
<div id="populationChart" class="chart"></div>
</div>
<div class="tab-content" id="urbanization-tab">
<h2>云南省各州市城镇化率变化趋势</h2>
<div class="controls">
</div>
<div id="urbanizationChart" class="chart"></div>
</div>
</div>
<!-- 引入外部JS -->
<script src="js/jquery-3.7.1.min.js"></script>
<script src="js/script.js"></script>
</body>
</html>