20200903（pyecharts進階-1）

阿新 • • 發佈：2020-09-03

以下程式碼均在jupyter notebook中執行。

一、全域性配置

參照：https://pyecharts.org/#/zh-cn/global_options，所需功能可在該網站查詢，參照下面程式碼格式舉一反三實現所需。

from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.faker import Faker

x = ["哈士奇", "泰迪", "金毛", "柯基", "吉娃娃", "牧羊犬"]
y1 = [140, 136, 144, 120, 119, 150]
y2 = [130, 146, 24, 110, 79, 110]

bar  
= Bar()
bar.add_xaxis(x)
bar.add_yaxis("商家A", y1)
bar.add_yaxis("商家B", y2)

#全域性配置：標題,座標軸,圖例
bar.set_global_opts(title_opts=opts.TitleOpts(title="寵物狗的銷售價格", subtitle="兩個商家的對比", 
                                              title_link = "https://www.baidu.com",
                                             pos_left  
= 'center'), 
                    xaxis_opts=opts.AxisOpts( name_rotate = 90),
                   datazoom_opts = opts.DataZoomOpts(is_show = True),
                   legend_opts = opts.LegendOpts(pos_left = "right"))


bar.render_notebook()

圖：

二、系列配置項

set_series_opts

from pyecharts import options as opts
 
from pyecharts.charts import Bar
from pyecharts.faker import Faker

x = ["哈士奇", "泰迪", "金毛", "柯基", "吉娃娃", "牧羊犬"]
y1 = [140, 136, 144, 120, 119, 150]
y2 = [130, 146, 24, 110, 79, 110]

bar = Bar()
bar.add_xaxis(x)
bar.add_yaxis("商家A", y1)
bar.add_yaxis("商家B", y2)

#全域性配置：標題,座標軸,圖例
bar.set_global_opts(title_opts=opts.TitleOpts(title="寵物狗的銷售價格", subtitle="兩個商家的對比", 
                                              title_link = "https://www.baidu.com",
                                             pos_left = 'center'), 
                    xaxis_opts=opts.AxisOpts( name_rotate = 90),
                   datazoom_opts = opts.DataZoomOpts(is_show = True),
                   legend_opts = opts.LegendOpts(pos_left = "right"))
#系列配置項;
bar.set_series_opts(label_opts = opts.LabelOpts(is_show = False),
                   markpoint_opts = opts.MarkPointOpts(
                       data = [
                           opts.MarkPointItem(type_ = "max", name = "最大值"),
                           opts.MarkPointItem(type_ = "min", name = "最小值"),  #
                   ]))

bar.render_notebook()

三、除了上面兩種方式之外，還可以直接放在x軸或者y軸上進行修飾

from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.faker import Faker

x = ["哈士奇", "泰迪", "金毛", "柯基", "吉娃娃", "牧羊犬"]
y1 = [140, 136, 144, 120, 119, 150]
y2 = [130, 146, 24, 110, 79, 110]

bar = Bar()
bar.add_xaxis(x)
bar.add_yaxis("商家A", y1,itemstyle_opts = opts.ItemStyleOpts(color = "blue"))
bar.add_yaxis("商家B", y2)

#全域性配置：標題,座標軸,圖例
bar.set_global_opts(title_opts=opts.TitleOpts(title="寵物狗的銷售價格", subtitle="兩個商家的對比", 
                                              title_link = "https://www.baidu.com",
                                             pos_left = 'center'), 
                    xaxis_opts=opts.AxisOpts( name_rotate = 90),
                   datazoom_opts = opts.DataZoomOpts(is_show = True),
                   legend_opts = opts.LegendOpts(pos_left = "right"))
#系列配置項;
bar.set_series_opts(label_opts = opts.LabelOpts(is_show = False),
                   markpoint_opts = opts.MarkPointOpts(
                       data = [
                           opts.MarkPointItem(type_ = "max", name = "最大值"),
                           opts.MarkPointItem(type_ = "min", name = "最小值"),  #
                   ]))

bar.render_notebook()

四、我們再來看一些其他的具體示例

1.主題（全域性，InitOpts）

pyecharts內建提供了10+種不同的風格，另外也提供了便捷的定製主題的方法

from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.globals import ThemeType

x = ["哈士奇", "泰迪", "金毛", "柯基", "吉娃娃", "牧羊犬"]
y1 = [140, 136, 144, 120, 119, 150]
y2 = [130, 146, 24, 110, 79, 110]

bar = Bar(init_opts = opts.InitOpts(theme=ThemeType.WALDEN))
bar.add_xaxis(x)
bar.add_yaxis("商家A", y1)
bar.add_yaxis("商家B", y2)

#全域性配置：標題,座標軸,圖例
bar.set_global_opts(title_opts=opts.TitleOpts(title="寵物狗的銷售價格", subtitle="兩個商家的對比", 
                                              title_link = "https://www.baidu.com",
                                             pos_left = 'center'), 
                    xaxis_opts=opts.AxisOpts( name_rotate = 90),
                   datazoom_opts = opts.DataZoomOpts(is_show = True),
                   legend_opts = opts.LegendOpts(pos_left = "right"))
#系列配置項;
bar.set_series_opts(label_opts = opts.LabelOpts(is_show = False),
                   markpoint_opts = opts.MarkPointOpts(
                       data = [
                           opts.MarkPointItem(type_ = "max", name = "最大值"),
                           opts.MarkPointItem(type_ = "min", name = "最小值"),  #
                   ]))

bar.render_notebook()