python pyecharts 实现一个文件绘制多张图


Posted in Python onMay 13, 2020

Grid并行显示多张图

注意: 第一个图需为 有 x/y 轴的图,即不能为 Pie,其他位置顺序任意

from pyecharts import Bar, Line, Scatter, EffectScatter, Grid
'''
 Grid类:并行显示多个图表 TODO 第一个图需为 有 x/y 轴的图,即不能为 Pie,其他位置顺序任意。
'''

attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
bar = Bar("柱状图示例", title_pos="65%")
bar.add("商家A", attr, v1, is_stack=True)
bar.add("商家B", attr, v2, is_stack=True, legend_pos="80%")

line = Line("折线图示例")
attr = ["周一", "周二", "周三", "周四", "周五", "周六", "周日"]
line.add(
 "最高气温",
 attr,
 [11, 11, 15, 13, 12, 13, 10],
 mark_point=["max", "min"],
 mark_line=["average"],
)
line.add(
 "最低气温",
 attr,
 [1, -2, 2, 5, 3, 2, 0],
 mark_point=["max", "min"],
 mark_line=["average"],
 legend_pos="20%",
)

v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
scatter = Scatter("散点图示例", title_top="50%", title_pos="65%")
scatter.add("scatter", v1, v2, legend_top="50%", legend_pos="80%")

es = EffectScatter("动态散点图示例", title_top="50%")
es.add(
 "es",
 [11, 11, 15, 13, 12, 13, 10],
 [1, -2, 2, 5, 3, 2, 0],
 effect_scale=6,
 legend_top="50%",
 legend_pos="20%",
)

# TODO 配置Grid类
grid = Grid(height=720, width=1200) # 初始化,参数可传page_title,width,height
grid.add(bar, grid_bottom="60%", grid_left="60%") # 添加要展示的图表,并设置显示位置
grid.add(line, grid_bottom="60%", grid_right="60%") # 添加要展示的图表,并设置显示位置
grid.add(scatter, grid_top="60%", grid_left="60%") # 添加要展示的图表,并设置显示位置
grid.add(es, grid_top="60%", grid_right="60%") # 添加要展示的图表,并设置显示位置

grid.render("./pyecharts_html/Grid_并行显示多张图表.html")

overlap图表混合使用

from pyecharts import Line, Bar, Overlap
'''
 多个x y轴示例
'''

attr = ["{}月".format(i) for i in range(1, 13)]
v1 = [2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3]
v2 = [2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3]
v3 = [2.0, 2.2, 3.3, 4.5, 6.3, 10.2, 20.3, 23.4, 23.0, 16.5, 12.0, 6.2]

bar = Bar()
bar.add("蒸发量", attr, v1)
bar.add("降水量", attr, v2, yaxis_formatter=" ml",
 yaxis_interval=50, yaxis_max=250)

line = Line()
line.add("平均温度", attr, v3, yaxis_formatter=" °C", yaxis_interval=5)

overlap = Overlap(width=1200, height=600) # 实例化
# 默认不新增 x y 轴,并且 x y 轴的索引都为 0
overlap.add(bar)
# 新增一个 y 轴,此时 y 轴的数量为 2,第二个 y 轴的索引为 1(索引从 0 开始),所以设置 yaxis_index = 1
# 由于使用的是同一个 x 轴,所以 x 轴部分不用做出改变
overlap.add(line, yaxis_index=1, is_add_yaxis=True)

overlap.render("./pyecharts_html/Overlap_图表混合.html")

Page一个页面顺序渲染多个图表

from pyecharts import *

page = Page() # 实例化page类

# line
attr = ['周一', '周二', '周三', '周四', '周五', '周六', '周日']
line = Line("折线图示例")
line.add("最高气温", attr, [11, 11, 15, 13, 12, 13, 10],
  mark_point=["max", "min"], mark_line=["average"])
line.add("最低气温", attr, [1, -2, 2, 5, 3, 2, 0],
  mark_point=["max", "min"], mark_line=["average"])

page.add(line) # TODO 向page中添加图表

# pie
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [11, 12, 13, 10, 10, 10]
pie = Pie("饼图-圆环图示例", title_pos='center')
pie.add("", attr, v1, radius=[40, 75], label_text_color=None,
 is_label_show=True, legend_orient='vertical', legend_pos='left')

page.add(pie) # TODO 向page中添加图表

# kline
v1 = [[2320.26, 2320.26, 2287.3, 2362.94],
 [2300, 2291.3, 2288.26, 2308.38],
 [2295.35, 2346.5, 2295.35, 2345.92],
 [2347.22, 2358.98, 2337.35, 2363.8],
 [2360.75, 2382.48, 2347.89, 2383.76],
 [2383.43, 2385.42, 2371.23, 2391.82],
 [2377.41, 2419.02, 2369.57, 2421.15],
 [2425.92, 2428.15, 2417.58, 2440.38],
 [2411, 2433.13, 2403.3, 2437.42],
 [2432.68, 2334.48, 2427.7, 2441.73],
 [2430.69, 2418.53, 2394.22, 2433.89],
 [2416.62, 2432.4, 2414.4, 2443.03],
 [2441.91, 2421.56, 2418.43, 2444.8],
 [2420.26, 2382.91, 2373.53, 2427.07],
 [2383.49, 2397.18, 2370.61, 2397.94],
 [2378.82, 2325.95, 2309.17, 2378.82],
 [2322.94, 2314.16, 2308.76, 2330.88],
 [2320.62, 2325.82, 2315.01, 2338.78],
 [2313.74, 2293.34, 2289.89, 2340.71],
 [2297.77, 2313.22, 2292.03, 2324.63],
 [2322.32, 2365.59, 2308.92, 2366.16],
 [2364.54, 2359.51, 2330.86, 2369.65],
 [2332.08, 2273.4, 2259.25, 2333.54],
 [2274.81, 2326.31, 2270.1, 2328.14],
 [2333.61, 2347.18, 2321.6, 2351.44],
 [2340.44, 2324.29, 2304.27, 2352.02],
 [2326.42, 2318.61, 2314.59, 2333.67],
 [2314.68, 2310.59, 2296.58, 2320.96],
 [2309.16, 2286.6, 2264.83, 2333.29],
 [2282.17, 2263.97, 2253.25, 2286.33],
 [2255.77, 2270.28, 2253.31, 2276.22]]
kline = Kline("K 线图示例")
kline.add("日K", ["2017/7/{}".format(i + 1) for i in range(31)], v1)

page.add(kline) # TODO 向page中添加图表

# radar
schema = [
 ("销售", 6500), ("管理", 16000), ("信息技术", 30000),
 ("客服", 38000), ("研发", 52000), ("市场", 25000)
]
v1 = [[4300, 10000, 28000, 35000, 50000, 19000]]
v2 = [[5000, 14000, 28000, 31000, 42000, 21000]]
radar = Radar("雷达图示例")
radar.config(schema)
radar.add("预算分配", v1, is_splitline=True, is_axisline_show=True)
radar.add("实际开销", v2, label_color=["#4e79a7"], is_area_show=False,
  legend_selectedmode='single')

page.add(radar) # TODO 向page中添加图表
page.render("./pyecharts_html/Page_一个页面渲染多张图表.html")

Timeline:时间线轮播多图

from pyecharts import Bar, Line, Timeline, Overlap
from random import randint

attr = ["{}月".format(i) for i in range(1, 7)]
bar = Bar("1 月份数据", "数据纯属虚构")
bar.add("bar", attr, [randint(10, 50) for _ in range(6)])
line = Line()
line.add("line", attr, [randint(50, 80) for _ in range(6)])
overlap = Overlap()
overlap.add(bar)
overlap.add(line)

bar_1 = Bar("2 月份数据", "数据纯属虚构")
bar_1.add("bar", attr, [randint(10, 50) for _ in range(6)])
line_1 = Line()
line_1.add("line", attr, [randint(50, 80) for _ in range(6)])
overlap_1 = Overlap()
overlap_1.add(bar_1)
overlap_1.add(line_1)

bar_2 = Bar("3 月份数据", "数据纯属虚构")
bar_2.add("bar", attr, [randint(10, 50) for _ in range(6)])
line_2 = Line()
line_2.add("line", attr, [randint(50, 80) for _ in range(6)])
overlap_2 = Overlap()
overlap_2.add(bar_2)
overlap_2.add(line_2)

bar_3 = Bar("4 月份数据", "数据纯属虚构")
bar_3.add("bar", attr, [randint(10, 50) for _ in range(6)])
line_3 = Line()
line_3.add("line", attr, [randint(50, 80) for _ in range(6)])
overlap_3 = Overlap()
overlap_3.add(bar_3)
overlap_3.add(line_3)

bar_4 = Bar("5 月份数据", "数据纯属虚构")
bar_4.add("bar", attr, [randint(10, 50) for _ in range(6)])
line_4 = Line()
line_4.add("line", attr, [randint(50, 80) for _ in range(6)])
overlap_4 = Overlap()
overlap_4.add(bar_4)
overlap_4.add(line_4)

timeline = Timeline(
   page_title = "页标签名",
   width=600,
   height=600,
   is_auto_play= True, # 是否自动播放,默认=False
   is_loop_play= True, # 是否循环播放
   is_rewind_play=False, # 反向播放
   is_timeline_show=True, # 是否显示时间线,默认=true
   timeline_play_interval=1000, # 播放间隔,ms
   timeline_symbol= "arrow", # 时间点标记图形, 'circle', 'rect', 'roundRect', 'triangle', 'diamond', 'pin', 'arrow'
   timeline_symbol_size= [15,8], # 图形大小,可以是数字和列表,列表表示宽高
   timeline_left= "1% ", # 距离左边距离 , timeline_right
   timeline_bottom=0, # timeline_top
  )
timeline.add(overlap, '1 月')
timeline.add(overlap_1, '2 月')
timeline.add(overlap_2, '3 月')
timeline.add(overlap_3, '4 月')
timeline.add(overlap_4, '5 月')
timeline.render("./pyecharts_html/Timeline_时间线轮播多张图表.html")

以上这篇python pyecharts 实现一个文件绘制多张图就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持三水点靠木。

Python 相关文章推荐
在Python中使用__slots__方法的详细教程
Apr 28 Python
python插入排序算法实例分析
Jul 03 Python
Python 探针的实现原理
Apr 23 Python
Python中MySQL数据迁移到MongoDB脚本的方法
Apr 28 Python
Python爬虫包 BeautifulSoup  递归抓取实例详解
Jan 28 Python
numpy数组拼接简单示例
Dec 15 Python
Python和Java进行DES加密和解密的实例
Jan 09 Python
pandas删除行删除列增加行增加列的实现
Jul 06 Python
python字典的常用方法总结
Jul 31 Python
使用Pycharm在运行过程中,查看每个变量的操作(show variables)
Jun 08 Python
学会Python数据可视化必须尝试这7个库
Jun 16 Python
python实现局部图像放大
Nov 17 Python
Django与pyecharts结合的实例代码
May 13 #Python
django Layui界面点击弹出对话框并请求逻辑生成分页的动态表格实例
May 12 #Python
Python爬取阿拉丁统计信息过程图解
May 12 #Python
PyPDF2读取PDF文件内容保存到本地TXT实例
May 12 #Python
Python3.7下安装pyqt5的方法步骤(图文)
May 12 #Python
小 200 行 Python 代码制作一个换脸程序
May 12 #Python
python3用PyPDF2解析pdf文件,用正则匹配数据方式
May 12 #Python
You might like
海贼王:最美的悬赏令!
2020/03/02 日漫
php异常处理使用示例
2014/02/25 PHP
PHP中file_exists()判断中文文件名无效的解决方法
2014/11/12 PHP
10款实用的PHP开源工具
2015/10/23 PHP
PHP使用glob方法遍历文件夹下所有文件的实例
2018/10/17 PHP
PHP实现的用户注册表单验证功能简单示例
2019/02/25 PHP
PHP代码覆盖率统计详解
2020/07/22 PHP
详解javascript实现自定义事件
2016/01/19 Javascript
JS调用某段SQL语句的方法
2016/10/20 Javascript
微信小程序 网络API发起请求详解
2016/11/09 Javascript
详解js树形控件—zTree使用总结
2016/12/28 Javascript
vue项目打包部署_nginx代理访问方法详解
2018/09/20 Javascript
Vue $mount实战之实现消息弹窗组件
2019/04/22 Javascript
node.js命令行教程图文详解
2019/05/27 Javascript
vue中改变滚动条样式的方法
2020/03/03 Javascript
Python open()文件处理使用介绍
2014/11/30 Python
Python中str.format()详解
2017/03/12 Python
浅谈Python处理PDF的方法
2017/11/10 Python
Django中的ajax请求
2018/10/19 Python
使用Django2快速开发Web项目的详细步骤
2019/01/06 Python
SpringBoot实现登录注册常见问题解决方案
2020/03/04 Python
Html5内唤醒百度、高德APP的实现示例
2019/05/20 HTML / CSS
Otiumberg官网:英国半精致珠宝品牌
2021/01/16 全球购物
数组越界问题
2015/10/21 面试题
AJax面试题
2014/11/25 面试题
化学实验员岗位职责
2013/12/28 职场文书
迟到检讨书900字
2014/01/14 职场文书
个人能力自我鉴赏
2014/01/25 职场文书
九年级政治教学反思
2014/02/06 职场文书
外贸采购员岗位职责
2014/03/08 职场文书
高中军训感言600字
2014/03/11 职场文书
学生会感恩节活动方案
2014/10/11 职场文书
离退休人员聘用协议书
2014/11/24 职场文书
盗窃罪辩护词范文
2015/05/21 职场文书
德能勤绩工作总结
2015/08/11 职场文书
如何解决.cuda()加载用时很长的问题
2021/05/24 Python