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YunNanProject/Model/RuYuanZaiYuanCountModel.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
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CurrentConfig.ONLINE_HOST = ONLINE_HOST
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class RuYuanZaiYuanModel:
@staticmethod
def load_student_data():
try:
# 加载招生数据(入园人数)
with open("./Data/ZhaoShengCount.json", "r", encoding="utf-8") as f:
enrollment_data = json.load(f)
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# 加载在校生数据(在园人数)
with open("./Data/ZaiXiaoShengCount.json", "r", encoding="utf-8") as f:
in_school_data = json.load(f)
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return enrollment_data, in_school_data
except Exception as e:
print(f"读取学生数据出错: {e}")
return [], []
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@staticmethod
def generate_preschool_education_config():
# 获取学前教育相关数据
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# enrollment_data, in_school_data = RuYuanZaiYuanModel.load_student_data()
#
# # 提取云南省级数据
# yunnan_enroll = next((item for item in enrollment_data if item["area_name"] == "云南省"), None)
#
# if not yunnan_enroll:
# return {}
#
# # 提取年份数据(2015-2024)
# years = [str(year) for year in range(2015, 2025)]
#
# # 构建学前教育数据
# urban_data = [] # 城区数据
# town_data = [] # 镇区数据
# rural_data = [] # 乡村数据
# total_enroll = [] # 总入园数
#
# for year in years:
# enroll_data = yunnan_enroll["education_data"]["preschool"].get(year, {})
# urban_data.append(enroll_data.get("urban", 0) / 10000) # 转换为万人
# town_data.append(enroll_data.get("town", 0) / 10000) # 转换为万人
# rural_data.append(enroll_data.get("rural", 0) / 10000) # 转换为万人
# # 计算总和作为总入园数而非使用文件中的total字段
# calculated_total = enroll_data.get("urban", 0) + enroll_data.get("town", 0) + enroll_data.get("rural", 0)
# total_enroll.append(calculated_total / 10000) # 转换为万人
xAxis = ["2019", "2020", "2021", "2022", "2023", "2024", "2025", "2026"]
series_data_1 = [2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6]
series_data_2 = [2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6]
series_data_3 = [2.4, 5.2, 8.0, 25.4, 27.7, 73.7, 155.6]
series_data_4 = [2.0, 2.2, 3.3, 4.5, 6.3, 10.2, 20.3]
line_data = [2.0, 2.2, 3.3, 4.5, 6.3, 10.2, 20.3]
data = {"xAxis": xAxis,
"series_data_1": series_data_1,
"series_data_2": series_data_2,
"series_data_3": series_data_3,
"series_data_4": series_data_4,
"line_data": line_data
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}
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return data
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@staticmethod
def generate_in_school_education_config():
# 获取学前教育相关数据
enrollment_data, in_school_data = RuYuanZaiYuanModel.load_student_data()
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# 提取云南省级数据
yunnan_in_school = next((item for item in in_school_data if item["area_name"] == "云南省"), None)
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if not yunnan_in_school:
return {}
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# 提取年份数据(2015-2024)
years = [str(year) for year in range(2015, 2025)]
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# 构建学前教育数据
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urban_data = [] # 城区数据
town_data = [] # 镇区数据
rural_data = [] # 乡村数据
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total_in_school = [] # 总在园数
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for year in years:
# 将education_data改为student_data
in_school_year_data = yunnan_in_school["student_data"]["preschool"].get(year, {})
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# 先获取原始数据
urban_val = in_school_year_data.get("urban", 0)
town_val = in_school_year_data.get("town", 0)
rural_val = in_school_year_data.get("rural", 0)
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# 转换为万人并添加到各自列表
urban_data.append(urban_val / 10000) # 转换为万人
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town_data.append(town_val / 10000) # 转换为万人
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rural_data.append(rural_val / 10000) # 转换为万人
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# 计算总和并转换为万人
calculated_total = (urban_val + town_val + rural_val) / 10000 # 先计算总和再转换为万人
total_in_school.append(calculated_total)
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# 添加2022年基数的粉色折线
base_year = "2022"
# 找到2022年在years中的索引位置
base_index = years.index(base_year) if base_year in years else 0
# 获取2022年的总在园数作为基数
base_value = total_in_school[base_index] if base_index < len(total_in_school) else 0
# 创建2022年基数折线数据2022-2024年
base_2022_line = []
for i, year in enumerate(years):
# 只在2022年及之后显示基数线
if i >= base_index:
base_2022_line.append(base_value)
else:
base_2022_line.append(None) # 2022年之前不显示
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# 构建ECharts配置
option = {
"tooltip": {
"trigger": "axis",
"axisPointer": {
"type": "cross",
"crossStyle": {"color": "#999"}
},
"textStyle": {"color": "#333"},
"backgroundColor": "rgba(255, 255, 255, 0.8)",
"borderColor": "rgba(0, 0, 0, 0.2)",
"borderWidth": 1
},
"legend": {
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"data": ["城区", "镇区", "乡村", "总在园数", "2022年基数(万人)"],
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"top": 30,
"textStyle": {"color": "#333"},
"icon": "roundRect",
"itemWidth": 12,
"itemHeight": 12
},
"xAxis": [
{
"type": "category",
"data": years,
"axisPointer": {"type": "shadow"},
"axisLabel": {"color": "#333"},
"axisLine": {"lineStyle": {"color": "#333"}}
}
],
"yAxis": [
{
"type": "value",
"name": "人数",
"min": 0,
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"max": 200, # 将左侧Y轴最大值从100修改为200万
"interval": 40, # 调整间隔为40万确保坐标轴上有5个主要刻度(0,40,80,120,160,200)
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"axisLabel": {
"formatter": "{value} 万人",
"color": "#333"
},
"axisLine": {"lineStyle": {"color": "#333"}},
"splitLine": {"lineStyle": {"color": "rgba(0,0,0,0.1)"}}
},
{
"type": "value",
"name": "总在园数",
"min": 0,
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"max": 320, # 将右侧Y轴最大值从160扩大一倍到320万
"interval": 60, # 调整间隔为60万
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"position": "right",
"nameLocation": "end",
"nameGap": 30,
"axisLabel": {
"formatter": "{value} 万人",
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"color": "#00a859" # 改为绿色
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},
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"axisLine": {"show": True, "lineStyle": {"color": "#00a859"}}, # 改为绿色
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"axisTick": {"show": True},
"splitLine": {"show": False}
}
],
"series": [
{
"name": "城区",
"type": "bar",
"data": urban_data,
"itemStyle": {
"color": "#5470c6",
"borderRadius": [6, 6, 0, 0]
},
"barWidth": "25%",
"barGap": "-10%"
},
{
"name": "镇区",
"type": "bar",
"data": town_data,
"itemStyle": {
"color": "#91cc75",
"borderRadius": [6, 6, 0, 0]
},
"barWidth": "25%",
"barGap": "-10%"
},
{
"name": "乡村",
"type": "bar",
"data": rural_data,
"itemStyle": {
"color": "#fac858",
"borderRadius": [6, 6, 0, 0]
},
"barWidth": "25%",
"barGap": "-10%"
},
{
"name": "总在园数",
"type": "line",
"yAxisIndex": 1,
"data": total_in_school,
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"lineStyle": {"color": "#00a859", "width": 3}, # 改为绿色
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"symbol": "circle",
"symbolSize": 8,
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"itemStyle": {"color": "#00a859"}, # 改为绿色
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"emphasis": {
"focus": "series"
},
"z": 10 # 确保折线图显示在最上层
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},
# 添加2022年基数的粉色折线
{
"name": "2022年基数(万人)",
"type": "line",
"yAxisIndex": 1,
"data": base_2022_line,
"lineStyle": {"color": "#ff9e9e", "width": 2, "type": "solid"},
"symbol": "circle",
"symbolSize": 6,
"itemStyle": {"color": "#ff9e9e"},
"emphasis": {
"focus": "series"
},
"z": 5 # 确保折线图显示在柱状图之上,但在总在园数折线之下
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}
],
"grid": {
"left": "3%",
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"right": "15%", # 稍微增加右侧边距确保Y轴标签不被截断
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"bottom": "3%",
"containLabel": True
}
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}
return option