pip install pyecharts -U

# 安裝中國省級地圖
pip install echarts-countries-pypkg
pip install echarts-china-provinces-pypkg

from pyecharts.charts import Line
from pyecharts.options import TitleOpts, AxisOpts, TooltipOpts
# 1. 實例化折線圖對象
line = Line()
# 2. 添加x軸和y軸數(shù)據(jù)
x_data = ["1月", "2月", "3月", "4月", "5月", "6月"]
y_data = [120, 190, 150, 230, 290, 310]
line.add_xaxis(xaxis_data=x_data)
line.add_yaxis(
    series_name="月度銷售額",  # 系列名稱（圖例顯示）
    y_axis=y_data,
    symbol="diamond",  # 數(shù)據(jù)點形狀（鉆石形）
    symbol_size=10     # 數(shù)據(jù)點大小
)
# 3. 配置圖表參數(shù)
line.set_global_opts(
    title_opts=TitleOpts(title="2023年上半年銷售額趨勢", subtitle="單位：萬元"),
    xaxis_opts=AxisOpts(name="月份"),
    yaxis_opts=AxisOpts(name="銷售額"),
    tooltip_opts=TooltipOpts(trigger="axis")  # 鼠標懸停時顯示軸線提示
)
# 4. 生成HTML文件
line.render("sales_trend.html")

from pyecharts.charts import Bar
bar = Bar()
bar.add_xaxis(["產(chǎn)品A", "產(chǎn)品B", "產(chǎn)品C", "產(chǎn)品D"])
bar.add_yaxis("一季度銷量", [350, 280, 420, 310])
bar.add_yaxis("二季度銷量", [410, 320, 490, 380])
bar.set_global_opts(title_opts=TitleOpts(title="產(chǎn)品季度銷量對比"))
bar.render("product_sales.html")

from pyecharts.charts import Pie
from pyecharts.options import LegendOpts
pie = Pie()
data = [("直接訪問", 35), ("搜索引擎", 45), ("社交媒體", 15), ("廣告推廣", 5)]
pie.add("", data_pair=data, radius=["40%", "70%"])  # 環(huán)形餅圖（內(nèi)半徑40%，外半徑70%）
pie.set_global_opts(
    title_opts=TitleOpts(title="網(wǎng)站流量來源占比"),
    legend_opts=LegendOpts(pos_left="right")  # 圖例居右
)
pie.render("traffic_source.html")

from pyecharts.charts import Map
from pyecharts.options import VisualMapOpts
map_chart = Map()
data = [("北京", 380), ("上海", 420), ("廣東", 510), ("江蘇", 450), ("浙江", 390)]
map_chart.add("省份銷售額", data_pair=data, maptype="china")
map_chart.set_global_opts(
    visualmap_opts=VisualMapOpts(
        is_show=True,
        range_text=["高", "低"],
        min_=300,
        max_=600,
        is_calculable=True  # 顯示拖拽滑塊
    )
)
map_chart.render("province_sales.html")

from pyecharts.charts import Line
from pyecharts.commons.utils import JsCode
from pyecharts.options import ThemeType
line = Line(init_opts=InitOpts(theme=ThemeType.DARK))  # 深色主題
# 后續(xù)配置同上...

bar = Bar()
bar.add_xaxis(["A", "B", "C", "D"])
bar.add_yaxis("數(shù)據(jù)", [10, 20, 30, 40])
bar.set_series_opts(
    itemstyle_opts={
        "color": JsCode("""
            function(params) {
                return params.data >= 25 ? '#ff4d4f' : '#52c41a';
            }
        """)  # 數(shù)值≥25的柱子為紅色，否則為綠色
    }
)

from pyecharts.charts import Bar, Line, Grid
bar = Bar().add_xaxis(x_data).add_yaxis("銷量", y1_data)
line = Line().add_xaxis(x_data).add_yaxis("增長率", y2_data)
# 將折線圖放在柱狀圖上方
grid = Grid()
grid.add(bar, grid_opts=GridOpts(pos_bottom="60%"))
grid.add(line, grid_opts=GridOpts(pos_top="60%"))
grid.render("combined_chart.html")

from pyecharts import options as opts
from pyecharts.charts import Bar, Line, Pie, Map, Grid, Page
# 1. 準備數(shù)據(jù)
months = ["1月", "2月", "3月", "4月", "5月", "6月"]
sales = [120, 190, 150, 230, 290, 310]
orders = [80, 120, 90, 150, 180, 200]
regions = [("華東", 420), ("華南", 380), ("華北", 320), ("西部", 250)]
payment_methods = [("支付寶", 45), ("微信支付", 40), ("銀聯(lián)", 15)]
# 2. 構(gòu)建各圖表
bar = (
    Bar().add_xaxis(months).add_yaxis("銷售額(萬)", sales)
    .set_global_opts(title_opts=opts.TitleOpts(title="月度銷售額"))
)
line = (
    Line().add_xaxis(months).add_yaxis("訂單量", orders)
    .set_global_opts(title_opts=opts.TitleOpts(title="月度訂單量"))
)
map_chart = (
    Map().add("區(qū)域銷售額", regions, "china")
    .set_global_opts(visualmap_opts=opts.VisualMapOpts(is_calculable=True))
)
pie = (
    Pie().add("", payment_methods)
    .set_global_opts(title_opts=opts.TitleOpts(title="支付方式占比"))
)
# 3. 組合圖表到頁面
page = Page(layout=Page.DraggablePageLayout)  # 支持拖拽調(diào)整布局
page.add(bar, line, map_chart, pie)
page.render("ecommerce_dashboard.html")