使用如下代碼來檢視安裝的pyecharts版本
import pyecharts
print(pyecharts.__version__)
繪圖邏輯
- 選擇圖表類型
- 添加資料
- 設定全局變量
- 顯示及儲存圖表
1. 柱狀圖
from pyecharts import Bar
#從pyecharts庫中導入Bar子類
bar = Bar("貴州GDP柱狀圖", "副标題")
#定義Bar()柱狀圖，同時設定主标題和副标題
bar.add("GDP",["貴陽市", "遵義市", "六盤水市", "安順市", "黔東南州"],[40, 30, 26, 22, 15])
#調用add()函數添加圖表的資料和設定各種配置項
#bar.show_config()
#列印輸出圖表的所有配置項
bar.render()
#生成render.html檔案，也可以設定路徑和檔案名
2. 橫向柱狀圖
# -*- coding:utf-8 -*-
from pyecharts import Bar
bar = Bar("貴州GDP柱狀圖", "副标題")
city = ["貴陽市", "遵義市", "六盤水市", "安順市", "黔東南州"]
data1 = [40, 30, 26, 22, 15]
data2 = [13, 43, 32, 38, 20]
bar.add("2017年GDP", city, data1)
bar.add("2016年GDP", city, data2, is_convert=True)
#bar.show_config()
bar.render()
3. 折線圖
from pyecharts import Line
attr =["襯衫", "羊毛衫", "雪紡衫", "褲子", "高跟鞋", "襪子"]
v1 =[5, 20, 36, 10, 10, 100]
v2 =[55, 60, 16, 20, 15, 80]
line =Line("折線圖示例")
line.add("商家A", attr, v1, mark_point=["average"])
line.add("商家B", attr, v2, is_smooth=True, mark_line=["max", "average"])
#line.show_config()
line.render()
from pyecharts import Line
line =Line("折線圖-面積圖示例")
line.add("商家A", attr, v1, is_fill=True, line_opacity=0.2, area_opacity=0.4, symbol=None)
line.add("商家B", attr, v2, is_fill=True, area_color='#000', area_opacity=0.3, is_smooth=True)
#line.show_config()
line.render()
4. 散點圖
from pyecharts import Scatter
scatter = Scatter("散點圖", "一年的降水量與蒸發量")
#xais_name是設定橫坐标名稱，這裡由于顯示問題，還需要将y軸名稱與y軸的距離進行設定
scatter.add("降水量與蒸發量的散點分布", data1,data2,xaxis_name="降水量",yaxis_name="蒸發量",
yaxis_name_gap=40)
scatter.render()
5. Pie 餅圖
from pyecharts import Pie
attr =["襯衫", "羊毛衫", "雪紡衫", "褲子", "高跟鞋", "襪子"]
v1 =[11, 12, 13, 10, 10, 10]
pie =Pie("餅圖示例")
pie.add("", attr, v1, is_label_show=True)
#pie.show_config()
pie.render()
中國地圖
from pyecharts import Map
province_distribution = {'河南': 45.23, '北京': 37.56, '河北': 21, '遼甯': 12, '江西': 6, '上海': 20, '安徽': 10, '江蘇': 16, '湖南': 9,'浙江': 13, '海南': 2, '廣東': 22, '湖北': 8, '黑龍江': 11, '澳門': 1, '陝西': 11, '四川': 7, '内蒙古': 3, '重慶': 3,'雲南': 6, '貴州': 2, '吉林': 3, '山西': 12, '山東': 11, '福建': 4, '青海': 1, '天津': 1,'其他': 1}
provice = list(province_distribution.keys())
values = list(province_distribution.values())
map = Map("中國地圖", '中國地圖', width=1200, height=600)
map.add("", provice, values, visual_range=[0, 50], maptype='china', is_visualmap=True,visual_text_color='#000')
map.render(path="中國地圖.html")
詞雲☁️
from pyecharts import WordCloud
name =['Sam S Club', 'Macys', 'Amy Schumer', 'Jurassic World', 'Charter Communications', 'Chick Fil A', 'Planet Fitness', 'Pitch Perfect', 'Express', 'Home', 'Johnny Depp', 'Lena Dunham', 'Lewis Hamilton', 'KXAN', 'Mary Ellen Mark', 'Farrah Abraham', 'Rita Ora', 'Serena Williams', 'NCAA baseball tournament', 'Point Break']
value =[10000, 6181, 4386, 4055, 2467, 2244, 1898, 1484, 1112, 965, 847, 582, 555, 550, 462, 366, 360, 282, 273, 265]
wordcloud =WordCloud(width=1300, height=620)
wordcloud.add("", name, value, word_size_range=[20, 100])
#wordcloud.show_config()
wordcloud.render()
wordcloud =WordCloud(width=1300, height=620)
wordcloud.add("", name, value, word_size_range=[30, 100], shape='diamond')
#wordcloud.show_config()
wordcloud.render()