Pyecharts可視化圖片渲染的方法詳解

pip install snapshot-selenium -i http://pypi.douban.com/simple --trusted-host pypi.douban.com

from pyecharts.render import make_snapshot
from snapshot_selenium import snapshot
from pyecharts import options as opts
from pyecharts.charts import Sankey


sankey = Sankey(
    init_opts=opts.InitOpts(
        width='1000px',
        height='600px',
        bg_color='#fff'
    )
)
sankey.add(
    '',
    nodes,
    links,
    node_gap=0,
    node_width=80,
    pos_right='5%',
    node_align='justify',
    focus_node_adjacency=True,
    linestyle_opt=opts.LineStyleOpts(curve=0.5, opacity=0.2, color="source"),
    label_opts=opts.LabelOpts(position='inside', color='white'),
    itemstyle_opts=opts.ItemStyleOpts(border_color="#fff"),
)

print("：".join(["CSDN葉庭雲", "https://yetingyun.blog.csdn.net/"]))
# sankey.render("./results/009.html")
make_snapshot(snapshot, sankey.render(), "Pyecharts生成圖片.png")

from pyecharts.render import make_snapshot
from snapshot_selenium import snapshot

# 渲染的html保存為png圖片
make_snapshot(snapshot, sankey.render(), "Pyecharts生成圖片.png")

from pyecharts.render import make_snapshot

def make_snapshot(
    # 渲染引擎，可選 selenium 或者 phantomjs
    engine: Any,

    # 傳入 HTML 文件路徑
    file_name: str,

    # 輸出圖片路徑
    output_name: str,

    # 延遲時間，避免圖還沒渲染完成就生成瞭圖片，造成圖片不完整
    delay: float = 2,

    # 像素比例，用於調節圖片質量
    pixel_ratio: int = 2,

    # 渲染完圖片是否刪除原 HTML 文件
    is_remove_html: bool = False,

    # 瀏覽器類型，目前僅支持 Chrome, Safari，使用 snapshot-selenium 時有效
    browser: str = "Chrome",
    **kwargs,
)

# 安裝
pip install snapshot-selenium

# 使用方式
from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.render import make_snapshot

from snapshot_selenium import snapshot

def bar_chart() -> Bar:
    c = (
        Bar()
        .add_xaxis(["襯衫", "毛衣", "領帶", "褲子", "風衣", "高跟鞋", "襪子"])
        .add_yaxis("商傢A", [114, 55, 27, 101, 125, 27, 105])
        .add_yaxis("商傢B", [57, 134, 137, 129, 145, 60, 49])
        .reversal_axis()
        .set_series_opts(label_opts=opts.LabelOpts(position="right"))
        .set_global_opts(title_opts=opts.TitleOpts(title="Bar-測試渲染圖片"))
    )
    return c

make_snapshot(snapshot, bar_chart().render(), "bar0.png")

# 安裝
pip install snapshot-phantomjs

# 使用方式
from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.render import make_snapshot

from snapshot_phantomjs import snapshot

def bar_chart() -> Bar:
    c = (
        Bar()
        .add_xaxis(["襯衫", "毛衣", "領帶", "褲子", "風衣", "高跟鞋", "襪子"])
        .add_yaxis("商傢A", [114, 55, 27, 101, 125, 27, 105])
        .add_yaxis("商傢B", [57, 134, 137, 129, 145, 60, 49])
        .reversal_axis()
        .set_series_opts(label_opts=opts.LabelOpts(position="right"))
        .set_global_opts(title_opts=opts.TitleOpts(title="Bar-測試渲染圖片"))
    )
    return c

make_snapshot(snapshot, bar_chart().render(), "bar0.png")

# 安裝
pip install snapshot-pyppeteer
# 安裝完後建議執行 chromium 安裝命令
pyppeteer-install

# 使用方式
from snapshot_pyppeteer import snapshot

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


def bar_base() -> Bar:
    c = (
        Bar()
        .add_xaxis(Faker.choose())
        .add_yaxis("商傢A", Faker.values())
        .add_yaxis("商傢B", Faker.values())
        .set_global_opts(title_opts=opts.TitleOpts(title="Bar-基本示例", subtitle="我是副標題"))
    )
    make_snapshot(snapshot, c.render(), "bar.png")


if __name__ == '__main__':
    bar_base()