大家好！今天給你們帶來了使用 pyecharts庫制作常見的9種圖表簡單例項，幫我們更好地學習Python視覺化。
安裝pyecharts：
pip install pyecharts
1.折線圖
from pyecharts import options as optsfrom pyecharts.charts import Line#建立 Line 圖表line = ( Line() .add_xaxis(['2020', '2021', '2022', '2023','2024']) .add_yaxis('Series 1', [1, 3, 2, 4, 5]) .set_global_opts(title_opts=opts.TitleOpts(title="折線圖")))#生成htmlline.render("line.html")
2.柱狀圖
from pyecharts import options as optsfrom pyecharts.charts import Bar#建立 Bar 圖表bar = ( Bar() .add_xaxis(['A', 'B', 'C', 'D', 'E']) .add_yaxis('Series 1', [5, 9, 3, 7, 2]) .set_global_opts(title_opts=opts.TitleOpts(title="柱狀圖")))#生成HTML bar.render("bar.html")
3.餅圖
from pyecharts import options as optsfrom pyecharts.charts import Pie#建立 Pie 圖表pie = ( Pie() .add("", [('A', 10), ('B', 20), ('C', 30), ('D', 40), ('E', 50)]) .set_global_opts(title_opts=opts.TitleOpts(title="餅圖")) .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}")))#生成 HTMLpie.render("pie.html")
4.散點圖
from pyecharts import options as optsfrom pyecharts.charts import Scatter#建立 Scatter 圖表scatter = ( Scatter() .add_xaxis([1, 2, 3, 4, 5]) .add_yaxis('Series 1', [5, 9, 3, 7, 2]) .set_global_opts(title_opts=opts.TitleOpts(title="散點圖")))#生成 HTMLscatter.render("scatter.html")
5.地圖
from pyecharts import options as optsfrom pyecharts.charts import Map#建立 Map 圖表map_chart = ( Map() .add("Series 1", [('北京', 100), ('上海', 200), ('廣州', 300)], "china") .set_global_opts(title_opts=opts.TitleOpts(title="地圖")))#生成 HTMLmap_chart.render("map.html")
6.儀表圖
from pyecharts import options as optsfrom pyecharts.charts import Gauge#建立 Gauge 圖表gauge = ( Gauge() .add("", [("Series 1", 66.6)]) .set_global_opts(title_opts=opts.TitleOpts(title="儀表盤")))#生成 HTMLgauge.render("gauge.html")
7.關系圖
from pyecharts import options as optsfrom pyecharts.charts import Graph#建立 Graph 圖表nodes = [ {"name": "蘋果", "symbol": "circle", "symbol_size": 60}, {"name": "香蕉", "symbol": "circle", "symbol_size": 60}, {"name": "橙子", "symbol": "circle", "symbol_size": 60}, {"name": "葡萄", "symbol": "circle", "symbol_size": 60}, {"name": "桃子", "symbol": "circle", "symbol_size": 60}]links = [{"source": "蘋果", "target": "香蕉"}, {"source": "香蕉", "target": "橙子"}, {"source": "橙子", "target": "葡萄"}, {"source": "葡萄", "target": "桃子"}]graph = ( Graph() .add("", nodes, links) .set_global_opts(title_opts=opts.TitleOpts(title="水果關系圖")))#生成 HTMLgraph.render("fruit_graph.html")
8.行事曆圖
from pyecharts import options as optsfrom pyecharts.charts import Calendar#建立 Calendar 圖表data = [ ("2022-01-01", 1), ("2022-02-14", 1), ("2022-03-08", 2), ("2022-04-01", 1)]calendar = ( Calendar(init_opts=opts.InitOpts(width="1000px", height="600px")) .add("", data, calendar_opts=opts.CalendarOpts(range_="2022")) .set_global_opts( title_opts=opts.TitleOpts(title="行事曆圖"), visualmap_opts=opts.VisualMapOpts(max_=2) #設定最大值 ))#生成 HTMLcalendar.render("calendar.html")
9.液體圖
from pyecharts import options as optsfrom pyecharts.charts import Liquid#建立 Liquid 圖表liquid = ( Liquid() .add("Series 1", [0.6]) .set_global_opts(title_opts=opts.TitleOpts(title="液體圖")))#生成 HTMLliquid.render("liquid.html")
