数据可视化pyecharts学习笔记

发布于2020-06-09 08:38

直角坐标系图表–热力图

from pyecharts.charts import HeatMap

1、基本示例

from pyecharts import options as optsfrom pyecharts.charts import HeatMapfrom pyecharts.faker import Fakerimport randomhm = HeatMap()# 使用列表表达式创建7*24的二维列表data = [[i,j,random.randint(10,200)] for i in range(7) for j in range(24)]hm.add_xaxis(Faker.week)hm.add_yaxis("热力图直角坐标系",Faker.clock,data)hm.set_global_opts(    title_opts=opts.TitleOpts(title="热力图基本示例"),    tooltip_opts=opts.TooltipOpts(axis_pointer_type="cross"),# 指示器类型    visualmap_opts=opts.VisualMapOpts(min_=10,max_=200))hm.render("./html/heatmap_base.html")

2、显示标签

from pyecharts import options as optsfrom pyecharts.charts import HeatMapfrom pyecharts.faker import Fakerimport randomhm = HeatMap()# 使用列表表达式创建7*24的二维列表data = [[i,j,random.randint(10,200)] for i in range(24) for j in range(7)]hm.add_xaxis(Faker.clock)hm.add_yaxis("热力图直角坐标系",Faker.week,data)hm.set_global_opts(    title_opts=opts.TitleOpts(title="热力图--显示标签"),    visualmap_opts=opts.VisualMapOpts(        min_=10,max_=200,        orient="horizontal",  # 视觉映射组件水平放置        pos_left="center"))  #居中hm.set_series_opts(label_opts=opts.LabelOpts(is_show=True,position="inside"))hm.render("./html/heatmap_label.html")

基本图表–日历图

from pyecharts.charts import Calendar

基本示例

from pyecharts import options as optsfrom pyecharts.charts import Calendarimport pandas as pdimport randomdata = [[i.strftime('%Y-%m-%d'), random.randint(1000, 25000)]        for i in pd.date_range('2019/1/1', '2019/12/31')]calendar = Calendar()calendar.add("",data,calendar_opts=opts.CalendarOpts(range_="2019"))calendar.set_global_opts(    title_opts=opts.TitleOpts(title="2019年微信运动步数情况统计", pos_left="center"),    visualmap_opts=opts.VisualMapOpts(        min_=1000,        max_=25000,        orient="horizontal",     # 水平放置visualMap组件        is_piecewise=True,        # visualMap分段        pos_left="100px",    # visualMap 组件离容器左侧的距离        pos_top="230px"      # visualMap 组件离容器右侧的距离    ))calendar.render("./html/calendar_test.html")

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