pycharts-组合图表
组合图表
Timeline-时间轴
# 示例数据 begin = datetime.date(2020, 4, 1) end = datetime.date(2020, 4, 20) cate = ['Apple', 'Huawei', 'MI', 'Oppo', 'Vivo', 'Samsung'] # 随机生成数据的方法 def random_data(n): return [random.randint(100, 200) for i in range(n)] # 新建一个timeline对象 tl = Timeline() tl.add_schema() for i in range((end - begin).days + 1): day = begin + datetime.timedelta(days=i) bar = (Bar() .add_xaxis(cate) .add_yaxis('电商渠道', random_data(len(cate))) ) tl.add(bar, day) tl.render_notebook()
Tab-选项卡
# 选项卡 cate = ['Apple', 'Huawei', 'MI', 'Oppo', 'Vivo', 'Samsung'] # 时间范围 begin = datetime.date(2020, 4, 1) end = datetime.date(2020, 4, 20) date_list = [str(begin + datetime.timedelta(days=i)) for i in range((end - begin).days + 1)] # 随机生成数据的方法 def random_data(n): return [random.randint(0, 100) for i in range(n)] # 新建一个tab对象 tab = Tab() for c in cate: day = begin + datetime.timedelta(days=i) line = (Line() .add_xaxis(date_list) .add_yaxis('', random_data(len(date_list))) ) tab.add(line, c) tab.render_notebook()
Page-顺序多图
# 虚假数据 x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu'] y_data = [123, 153, 89, 107, 98, 23] bar = (Bar() .add_xaxis(x_data) .add_yaxis('', y_data) ) line = (Line() .add_xaxis(x_data) .add_yaxis('', y_data) ) page = Page() page.add(bar, line) page.render_notebook()
Grid-并行多图
# 虚假数据 x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu'] y_data = [123, 153, 89, 107, 98, 23] bar = (Bar() .add_xaxis(x_data) .add_yaxis('', y_data) ) line = (Line() .add_xaxis(x_data) .add_yaxis('', y_data) ) grid = (Grid() .add(bar,grid_opts=opts.GridOpts(pos_bottom="65%", pos_left="50%")) .add(line,grid_opts=opts.GridOpts(pos_left="15%")) ) grid.render_notebook()
天道酬勤 循序渐进 技压群雄