python--pyecharts可视化实现《二》--高级动态绘图[统计常用图表--视觉盛宴]

ゞ浴缸里的玫瑰 2023-05-31 02:51 0阅读 0赞

### python--pyecharts可视化实现《二》--高级动态绘图\[统计常用图表--视觉盛宴\] ###

*   *   *  1、pyecharts前言与安装
         *  2、pyecharts绘图实现anaconda(图片是可动态的，这里展示静态图片)
         *   *  2.1制作动态--平行坐标系
             *  2.2制作动态--饼图
             *  2.3制作动态--环形玫瑰图
             *  2.4制作动态--极坐标系\[堆叠\]
             *  2.5制作动态--玫瑰极坐标系\[堆叠\]
             *  2.6制作动态--雷达图1
             *  2.7制作动态--雷达图2
             *  2.8制作动态--散点图
         *  3、文末彩蛋

### 1、pyecharts前言与安装 ###

是调用百度的ECharts与python的接口。ECharts的英文单词是Enterprise Charts，是做商业级数据图表，是百度的开源数据可视化工具。我们利用 python 的pyecharts 库，只需几行代码就可以画出很炫的图片。学习起来也不是很难。当然如果大家没有安装pyecharts 的话建议看一下我的pyecharts 安装教程，百分百成功！**\[PS:如果你从其他渠道安装的话肯定会有各种各样的问题，我的教程你放心\]**  
[pyecharts 安装教程：安装不成功我头给你当球踢][pyecharts]  
[pyecharts官网各个参数描述][pyecharts 1]  
[pyecharts官网][pyecharts 2]  
[如果觉得例子颜色不好看就点击这里看色码表，选择自己喜欢的颜色替换][Link 1]

### 2、pyecharts绘图实现anaconda(图片是可动态的，这里展示静态图片) ###

[如果大家不喜欢例子的颜色，可以点击这里，然后换成自己喜欢的颜色！][Link 1]

#### 2.1制作动态–平行坐标系 ####

from pyecharts import Parallel  #平行坐标系--数据纯属虚构
    c_schema =[ { "dim": 0, "name": "评分1"}, { "dim": 1, "name": "评分2"}, { "dim": 2, "name": "评分3"},
                 { "dim": 3, "name": "评分4"}, { "dim": 4, "name": "评分5"}, { "dim": 5, "name": "评分6"},
                 { "dim": 6, "name": "评分7"}, { "dim": 7, "name": "最终得分", "type": "category", 
                                             "data": [ '极差', '差','良好','高度良好','优秀', '及其优秀' ]}]
    data =[ [1, 91, 45, 125, 0.82, 34, 23, "优秀"], [2, 65, 27, 78, 0.86, 45, 29, "优秀"],
           [3, 83, 60, 84, 1.09, 73, 27, "优秀"], [4, 109, 81, 121, 1.28, 68, 51, "极差"], 
           [5, 106, 77, 114, 1.07, 55, 51, "极差"], [6, 109, 81, 121, 1.28, 68, 51, "极差"], 
           [7, 106, 77, 114, 1.07, 55, 51, "极差"], [8, 89, 65, 78, 0.86, 51, 26, "优秀"], 
           [9, 53, 33, 47, 0.64, 50, 17, "优秀"], [10, 80, 55, 80, 1.01, 75, 24, "优秀"], 
           [11, 117, 81, 124, 1.03, 45, 24, "极差"], [12, 99, 71, 142, 1.1, 62, 42, "优秀"],
           [13, 95, 69, 130, 1.28, 74, 50, "优秀"], [14, 116, 87, 131, 1.47, 84, 40, "极差"]]
    parallel =Parallel("平行坐标系-评分",background_color='#00ffff')
    parallel.config(c_schema=c_schema)
    parallel.add("parallel", data)
    parallel.show_config()
    parallel.render()

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0wxNTQyMzM0MjEw_size_16_color_FFFFFF_t_70]

#### 2.2制作动态–饼图 ####

from pyecharts import Pie  #饼图
    attr =['戏剧','喜剧','动作','惊悚','爱情','恐怖片']
    v1 =[25.02,18.73,7.85,7.68,7.35,5.35]
    pie =Pie("电影类型占比",background_color='#00ffff')
    pie.add("", attr, v1, is_label_show=True)
    pie.show_config()
    pie.render()

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0wxNTQyMzM0MjEw_size_16_color_FFFFFF_t_70 1]

#### 2.3制作动态–环形玫瑰图 ####

from pyecharts import Pie  #环形 玫瑰图
    attr =['戏剧','喜剧','动作','惊悚','爱情','恐怖片']
    v1 =[25.02,18.73,7.85,7.68,7.35,5.35]
    v2 =[7.35,5.35,4.42,4.31,3.92,3.29]
    pie =Pie("玫瑰图示例", title_pos='center', width=900,background_color='#00ffff')#title_pos 标题在中间
    pie.add("观众1", attr, v1, center=[25, 50], is_random=True, radius=[30, 75], #is_random 眼色随机生成
            rosetype='radius',is_legend_show=False, is_label_show=True)
    pie.add("观众2", attr, v2, center=[75, 50], is_random=True, radius=[30, 75], 
            rosetype='area', is_legend_show=False, is_label_show=True) #is_legend_show显示指示
    pie.show_config()
    pie.render()

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0wxNTQyMzM0MjEw_size_16_color_FFFFFF_t_70 2]

#### 2.4制作动态–极坐标系\[堆叠\] ####

from pyecharts import Polar  # 极坐标系，堆叠柱状图
    radius =['戏剧','喜剧','动作','惊悚','爱情','恐怖片','冒险']
    polar =Polar("极坐标系-堆叠柱状图", width=1200, height=600,title_pos='center',
                 background_color='#00ffff',title_top='5%') #title_top标题与顶部的距离
    polar.add("观众1", [1, 2, 3, 4, 3, 5, 1], radius_data=radius, type='barRadius', is_stack=True)
    polar.add("观众2", [2, 4, 6, 1, 2, 3, 1], radius_data=radius, type='barRadius', is_stack=True)
    polar.add("观众3", [1, 2, 3, 4, 1, 2, 5], radius_data=radius, type='barRadius', is_stack=True)
    #type 替换堆叠形状
    polar.show_config()
    polar.render()

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0wxNTQyMzM0MjEw_size_16_color_FFFFFF_t_70 3]

#### 2.5制作动态–玫瑰极坐标系\[堆叠\] ####

from pyecharts import Polar  # 极坐标系，堆叠柱状图
    radius =['戏剧','喜剧','动作','惊悚','爱情','恐怖片','冒险']
    polar =Polar("极坐标系-堆叠柱状图", width=1200, height=600,title_pos='center',
                 background_color='#00ffff',title_top='5%') #title_top标题与顶部的距离
    polar.add("观众1", [1, 2, 3, 4, 3, 5, 1], radius_data=radius, type='barAngle', is_stack=True)
    polar.add("观众2", [2, 4, 6, 1, 2, 3, 1], radius_data=radius, type='barAngle', is_stack=True)
    polar.add("观众3", [1, 2, 3, 4, 1, 2, 5], radius_data=radius, type='barAngle', is_stack=True)
    polar.show_config()
    polar.render()

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0wxNTQyMzM0MjEw_size_16_color_FFFFFF_t_70 4]

#### 2.6制作动态–雷达图1 ####

from pyecharts import Radar  #雷达图1
    schema =[ ("喜剧", 6500), ("爱情", 16000), ("恐怖", 30000), ("动漫", 38000), 
             ("动作", 52000), ("冒险", 25000)]
    v1 =[[4300, 10000, 28000, 35000, 50000, 19000]]
    v2 =[[5000, 14000, 28000, 31000, 42000, 21000]]
    radar =Radar('观众偏好情况',title_pos='center',background_color='#00ffff',title_top='90%')
    radar.config(schema)
    radar.add("观众1", v1, is_splitline=True, is_axisline_show=True)
    radar.add("观众2", v2, label_color=["#4e79a7"], is_area_show=False)
    radar.show_config()
    radar.render()

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0wxNTQyMzM0MjEw_size_16_color_FFFFFF_t_70 5]

#### 2.7制作动态–雷达图2 ####

from pyecharts import Radar  #雷达图1
    schema =[ ("喜剧", 6500), ("爱情", 16000), ("恐怖", 30000), ("动漫", 38000), 
             ("动作", 52000), ("冒险", 25000)]
    v1 =[[4300, 10000, 28000, 35000, 50000, 19000]]
    v2 =[[5000, 14000, 28000, 31000, 42000, 21000]]
    radar =Radar('观众偏好情况',title_pos='center',background_color='#00ffff',title_top='90%')
    radar.config(schema,shape='circle') #shape修改雷达图外面的形状
    radar.add("观众1", v1, is_splitline=True, is_axisline_show=True)
    radar.add("观众2", v2, label_color=["#4e79a7"], is_area_show=False)
    radar.show_config()
    radar.render()

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0wxNTQyMzM0MjEw_size_16_color_FFFFFF_t_70 6]

#### 2.8制作动态–散点图 ####

from pyecharts import Scatter   #散点图
    v1 =[25.02,18.73,7.85,7.68,7.35,5.35,3.29,2.23,1.98,1.78,1.65,1.64,1.06,1.06,0.69]
    v2 =[5.35,4.42,4.31,3.92,3.29,2.23,4.42,4.31,3.92,3.29,2.23,1.98,1.78,1.65,0.8]
    scatter =Scatter("电影类型评分",title_pos='center',background_color='#00ffff',title_top='90%')
    scatter.add("爱情", v1, v2)
    scatter.add("动作", v1[::-1], v2)
    scatter.show_config()
    scatter.render()

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L0wxNTQyMzM0MjEw_size_16_color_FFFFFF_t_70 7]

### 3、文末彩蛋 ###

**就不讲故事啦，列出我的可视化口号：要么有用！要么有趣！**

**今天到这里就结束啦~这里是Jeruser视觉盛宴栏目，让你体验不一样的数据分析，如何将工作变得有趣，请持续关注我。谢谢观看我是Jetuser–data**

链接: \[https://blog.csdn.net/L1542334210\]  
**CSND:L1542334210**  
![在这里插入图片描述][20191022111801709.jpg]  
**祝大家工作顺利！阖家欢乐！**

[pyecharts]: https://blog.csdn.net/L1542334210/article/details/101758553
[pyecharts 1]: https://github.com/yihong0618/pyecharts
[pyecharts 2]: https://05x-docs.pyecharts.org/#/
[Link 1]: https://blog.csdn.net/L1542334210/article/details/102678697
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[20191022111801709.jpg]: /images/20230531/8e8e1fb2db26454691bb5e9342a83d29.png