利用 django 及 pyecharts 做一个简单dashboard 展示页面

# encoding: utf-8 """ @author: seakingx @contact: hndm@qq.com @version: 1.0 @file: views.py.py @time: 2019/12/13 0013 16:02 说明 """ from django.http import HttpResponse from django.shortcuts import render from pyecharts.charts import Page, Sankey, Map, Pie, Bar, Line from pyecharts import options as opts from pyecharts.globals import ThemeType import dashdata def home(request): return HttpResponse("Web Home ! <br> <p> <a href = 'mychart'> Show Chart </a> <p> <p> <a href = 'dashboard'> Show Dashbooard </a> <p>") # 海南省热点图 def map_hainan_data(title, buss, m_array) -> Map: c = ( Map(init_opts=opts.InitOpts(width="600px",height="440px",theme=ThemeType.SHINE)) .add(buss, m_array, "海南", center= [109.844902, 19.0392], zoom = 8) .set_global_opts( title_opts=opts.TitleOpts(title=title), visualmap_opts=opts.VisualMapOpts(max_=100,range_color=["#fe6673", "#ffffff", "#2ae0c8"]), ) ) return c # 按数据展示海南省热点图 def market_map(m_data): title = m_data['title'] buss = m_data['buss'] m_array = m_data['data'] d_map = map_hainan_data(title, buss, m_array) # print(d_map.render_embed()) # d_map.render() return d_map def hainan_chart(): m_data = dashdata.get_hainan_map_data() return market_map(m_data) def overlap_bar_line(m_dict) -> Bar: m_data = m_dict['m_data'] bar = ( Bar(init_opts=opts.InitOpts(width="1200px",height="400px",theme=ThemeType.SHINE)) .add_xaxis(m_data[0]) .add_yaxis(m_dict['m1'], m_data[1], category_gap="80%") .extend_axis( yaxis=opts.AxisOpts( axislabel_opts=opts.LabelOpts(formatter="{value} "+m_dict['t2']), interval=m_dict['t2interval'] ) ) .set_series_opts(label_opts=opts.LabelOpts(is_show=False)) .set_global_opts( title_opts=opts.TitleOpts(title=m_dict['title']), yaxis_opts=opts.AxisOpts( axislabel_opts=opts.LabelOpts(formatter="{value} "+m_dict['t1']), ), xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-15)), ) ) line = Line(init_opts=opts.InitOpts(width="600px",height="400px",theme=ThemeType.DARK)).add_xaxis(m_data[0]).add_yaxis(m_dict['m2'], m_data[2], yaxis_index=1, is_smooth=False) bar.overlap(line) return bar def line_bar_chart(): m_dict = dashdata.get_yw_data_1() data_pyec = overlap_bar_line(m_dict) return data_pyec def line_bar_chart2(): m_dict = dashdata.get_yw_data_1() data_pyec = overlap_bar_line(m_dict) return data_pyec def dash_page(): page = Page(layout=Page.SimplePageLayout) page.add(line_bar_chart(),hainan_chart()) # page.add(bar_datazoom_slider(), line_markpoint(), pie_rosetype(), grid_mutil_yaxis()) # page.render() return page def mychart(request): try: # html_chart = line_bar_chart() html_chart = dash_page() html_data = html_chart.render_embed() html_ret = html_data.replace('''https://assets.pyecharts.org/assets''', '''/static''') html_ret = html_ret.replace('''Awesome-pyecharts''', '''-=金融看板=-''') return HttpResponse(html_ret) except Exception as e: return HttpResponse("Error in Show eCharts.<br>" + repr(e)) def get_ye_tb(): # 余额通报数据 dash_dict = dashdata.get_dash_data1() html_chart = line_bar_chart2() html_data = html_chart.render_embed() html_data = html_data.replace('''https://assets.pyecharts.org/assets''', '''/static''') dash_dict['chart_1'] = html_data html_chart2 = hainan_chart() html_data2 = html_chart2.render_embed() html_data2 = html_data2.replace('''https://assets.pyecharts.org/assets''', '''/static''') dash_dict['chart_2'] = html_data2 return dash_dict def dashboard(request): try: dash_dict = get_ye_tb() return render(request, 'dash_tmpl.html', dash_dict) except Exception as e: return HttpResponse("Error in Show Dashboard.<br>" + repr(e))