Python数据分析pygal柱状图

曾经终败给现在 2023-10-18 15:28 76阅读 0赞

pygal会生成svg图，适合缩放和各种设备上展示。

做一个纵向的柱状图：

import pygal
    import numpy as np
    
    chart = pygal.Bar()
    
    chart.title = "城市分布"
    
    city_name = ['北京', '上海', '广州', '深圳', '成都']
    city_data = np.random.randint(100, 150, len(city_name))
    
    chart.x_labels = city_name
    chart.add("数据", city_data)
    
    chart.render_to_file('d:\\bar_chart.svg')

运行后输出：

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly96aGFuZ3BoaWwuYmxvZy5jc2RuLm5ldA_size_16_color_FFFFFF_t_70][]

也可以做成水平的柱状图：

import pygal
    import numpy as np
    
    chart = pygal.HorizontalBar()
    
    chart.title = "城市分布"
    
    chart.x_title = "城市序列"
    chart.y_title = "数据值"
    
    city_name = ['北京', '上海', '广州', '深圳', '成都']
    city_data = np.random.randint(100, 150, len(city_name))
    
    chart.x_labels = city_name
    chart.add("数据", city_data)
    
    chart.render_to_file('d:\\bar_chart.svg')

只是换成了：

pygal.HorizontalBar()

运行后输出结果图：

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly96aGFuZ3BoaWwuYmxvZy5jc2RuLm5ldA_size_16_color_FFFFFF_t_70 1][]

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly96aGFuZ3BoaWwuYmxvZy5jc2RuLm5ldA_size_16_color_FFFFFF_t_70]: https://img-blog.csdnimg.cn/20190313140044402.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly96aGFuZ3BoaWwuYmxvZy5jc2RuLm5ldA==,size_16,color_FFFFFF,t_70
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly96aGFuZ3BoaWwuYmxvZy5jc2RuLm5ldA_size_16_color_FFFFFF_t_70 1]: https://img-blog.csdnimg.cn/20190313140717356.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly96aGFuZ3BoaWwuYmxvZy5jc2RuLm5ldA==,size_16,color_FFFFFF,t_70