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318 lines (296 loc) · 11.3 KB
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Time : 2020/8/26 14:48
# @Author : way
# @Site :
# @Describe:
import json
class SourceDataDemo:
def __init__(self):
self.title = '大数据可视化展板通用模板'
self.counter = {'name': '2018年总收入情况', 'value': 12581189}
self.counter2 = {'name': '2018年总支出情况', 'value': 3912410}
self.echart1_data = {
'title': '行业分布',
'data': [
{"name": "商超门店", "value": 47},
{"name": "教育培训", "value": 52},
{"name": "房地产", "value": 90},
{"name": "生活服务", "value": 84},
{"name": "汽车销售", "value": 99},
{"name": "旅游酒店", "value": 37},
{"name": "五金建材", "value": 2},
]
}
self.echart2_data = {
'title': '省份分布',
'data': [
{"name": "浙江", "value": 47},
{"name": "上海", "value": 52},
{"name": "江苏", "value": 90},
{"name": "广东", "value": 84},
{"name": "北京", "value": 99},
{"name": "深圳", "value": 37},
{"name": "安徽", "value": 150},
]
}
self.echarts3_1_data = {
'title': '年龄分布',
'data': [
{"name": "0岁以下", "value": 47},
{"name": "20-29岁", "value": 52},
{"name": "30-39岁", "value": 90},
{"name": "40-49岁", "value": 84},
{"name": "50岁以上", "value": 99},
]
}
self.echarts3_2_data = {
'title': '职业分布',
'data': [
{"name": "电子商务", "value": 10},
{"name": "教育", "value": 20},
{"name": "IT/互联网", "value": 20},
{"name": "金融", "value": 30},
{"name": "学生", "value": 40},
{"name": "其他", "value": 50},
]
}
self.echarts3_3_data = {
'title': '兴趣分布',
'data': [
{"name": "汽车", "value": 4},
{"name": "旅游", "value": 5},
{"name": "财经", "value": 9},
{"name": "教育", "value": 8},
{"name": "软件", "value": 9},
{"name": "其他", "value": 9},
]
}
self.echart4_data = {
'title': '时间趋势',
'data': [
{"name": "安卓", "value": [3, 4, 3, 4, 3, 4, 3, 6, 2, 4, 2, 4, 3, 4, 3, 4, 3, 4, 3, 6, 2, 4, 4]},
{"name": "IOS", "value": [5, 3, 5, 6, 1, 5, 3, 5, 6, 4, 6, 4, 8, 3, 5, 6, 1, 5, 3, 7, 2, 5, 8]},
],
'xAxis': ['01', '02', '03', '04', '05', '06', '07', '08', '09', '11', '12', '13', '14', '15', '16', '17',
'18', '19', '20', '21', '22', '23', '24'],
}
self.echart5_data = {
'title': '省份TOP',
'data': [
{"name": "浙江", "value": 2},
{"name": "上海", "value": 3},
{"name": "江苏", "value": 3},
{"name": "广东", "value": 9},
{"name": "北京", "value": 15},
{"name": "深圳", "value": 18},
{"name": "安徽", "value": 20},
{"name": "四川", "value": 13},
]
}
self.echart6_data = {
'title': '一线城市情况',
'data': [
{"name": "浙江", "value": 80, "value2": 20, "color": "01", "radius": ['59%', '70%']},
{"name": "上海", "value": 70, "value2": 30, "color": "02", "radius": ['49%', '60%']},
{"name": "广东", "value": 65, "value2": 35, "color": "03", "radius": ['39%', '50%']},
{"name": "北京", "value": 60, "value2": 40, "color": "04", "radius": ['29%', '40%']},
{"name": "深圳", "value": 50, "value2": 50, "color": "05", "radius": ['20%', '30%']},
]
}
self.map_1_data = {
'symbolSize': 100,
'data': [
{'name': '北京', 'value': 320},
{'name': '上海', 'value': 320},
{'name': '广州', 'value': 520},
{'name': '深圳', 'value': 700},
{'name': '成都', 'value': 380},
{'name': '重庆', 'value': 350},
{'name': '杭州', 'value': 420},
{'name': '武汉', 'value': 360},
{'name': '南京', 'value': 400},
{'name': '天津', 'value': 320},
{'name': '西安', 'value': 340},
{'name': '郑州', 'value': 310},
{'name': '长沙', 'value': 290},
{'name': '青岛', 'value': 280},
{'name': '沈阳', 'value': 270},
{'name': '大连', 'value': 260},
{'name': '济南', 'value': 250},
{'name': '哈尔滨', 'value': 240},
{'name': '福州', 'value': 230},
{'name': '厦门', 'value': 320},
{'name': '昆明', 'value': 210},
{'name': '合肥', 'value': 200},
{'name': '南昌', 'value': 195},
{'name': '石家庄', 'value': 190},
{'name': '太原', 'value': 185},
{'name': '南宁', 'value': 180},
{'name': '长春', 'value': 175},
{'name': '温州', 'value': 170},
{'name': '宁波', 'value': 165},
{'name': '苏州', 'value': 160},
{'name': '无锡', 'value': 155},
{'name': '贵阳', 'value': 150},
{'name': '珠海', 'value': 145},
{'name': '兰州', 'value': 140},
{'name': '洛阳', 'value': 135},
{'name': '海口', 'value': 130},
{'name': '乌鲁木齐', 'value': 320},
{'name': '扬州', 'value': 120},
{'name': '南通', 'value': 115},
{'name': '烟台', 'value': 110},
{'name': '海门', 'value': 105},
]
}
@property
def echart1(self):
data = self.echart1_data
echart = {
'title': data.get('title'),
'xAxis': [i.get("name") for i in data.get('data')],
'series': [i.get("value") for i in data.get('data')]
}
return echart
@property
def echart2(self):
data = self.echart2_data
echart = {
'title': data.get('title'),
'xAxis': [i.get("name") for i in data.get('data')],
'series': [i.get("value") for i in data.get('data')]
}
return echart
@property
def echarts3_1(self):
data = self.echarts3_1_data
echart = {
'title': data.get('title'),
'xAxis': [i.get("name") for i in data.get('data')],
'data': data.get('data'),
}
return echart
@property
def echarts3_2(self):
data = self.echarts3_2_data
echart = {
'title': data.get('title'),
'xAxis': [i.get("name") for i in data.get('data')],
'data': data.get('data'),
}
return echart
@property
def echarts3_3(self):
data = self.echarts3_3_data
echart = {
'title': data.get('title'),
'xAxis': [i.get("name") for i in data.get('data')],
'data': data.get('data'),
}
return echart
@property
def echart4(self):
data = self.echart4_data
echart = {
'title': data.get('title'),
'names': [i.get("name") for i in data.get('data')],
'xAxis': data.get('xAxis'),
'data': data.get('data'),
}
return echart
@property
def echart5(self):
data = self.echart5_data
echart = {
'title': data.get('title'),
'xAxis': [i.get("name") for i in data.get('data')],
'series': [i.get("value") for i in data.get('data')],
'data': data.get('data'),
}
return echart
@property
def echart6(self):
data = self.echart6_data
echart = {
'title': data.get('title'),
'xAxis': [i.get("name") for i in data.get('data')],
'data': data.get('data'),
}
return echart
@property
def map_1(self):
data = self.map_1_data
sym = data.get('symbolSize')
if sym is None or (isinstance(sym, (int, float)) and not (sym > 0)):
sym = 100
echart = {
'symbolSize': sym,
'data': data.get('data'),
}
return echart
def to_dict(self):
"""
将数据对象转换为字典格式,用于 JSON 序列化
"""
return {
'title': self.title,
'counter': self.counter,
'counter2': self.counter2,
'echart1': self.echart1,
'echart2': self.echart2,
'echarts3_1': self.echarts3_1,
'echarts3_2': self.echarts3_2,
'echarts3_3': self.echarts3_3,
'echart4': self.echart4,
'echart5': self.echart5,
'echart6': self.echart6,
'map_1': self.map_1,
}
class SourceData(SourceDataDemo):
def __init__(self):
"""
按照 SourceDataDemo 的格式覆盖数据即可
"""
super().__init__()
self.title = '大数据可视化展板通用模板'
class CorpData(SourceDataDemo):
def __init__(self):
"""
按照 SourceDataDemo 的格式覆盖数据即可
"""
super().__init__()
with open('static_data/corp.json', 'r', encoding='utf-8') as f:
data = json.loads(f.read())
self.title = data.get('title')
self.counter = data.get('counter')
self.counter2 = data.get('counter2')
self.echart1_data = data.get('echart1_data')
self.echart2_data = data.get('echart2_data')
self.echarts3_1_data = data.get('echarts3_1_data')
self.echarts3_2_data = data.get('echarts3_2_data')
self.echarts3_3_data = data.get('echarts3_3_data')
self.echart4_data = data.get('echart4_data')
self.echart5_data = data.get('echart5_data')
self.echart6_data = data.get('echart6_data')
self.map_1_data = data.get('map_1_data')
class JobData(SourceDataDemo):
def __init__(self):
"""
按照 SourceDataDemo 的格式覆盖数据即可
"""
super().__init__()
with open('static_data/job.json', 'r', encoding='utf-8') as f:
data = json.loads(f.read())
self.title = data.get('title')
self.counter = data.get('counter')
self.counter2 = data.get('counter2')
self.echart1_data = data.get('echart1_data')
self.echart2_data = data.get('echart2_data')
self.echarts3_1_data = data.get('echarts3_1_data')
self.echarts3_2_data = data.get('echarts3_2_data')
self.echarts3_3_data = data.get('echarts3_3_data')
self.echart4_data = data.get('echart4_data')
self.echart5_data = data.get('echart5_data')
self.echart6_data = data.get('echart6_data')
self.map_1_data = data.get('map_1_data')