使用 pyecharts 渲染成图片一直是开发者比较关心的功能,pyecharts提供了 selenium、phantomjs 和 pyppeteer 三种方式。
更多介绍可以学习官方文档:https://pyecharts.org/#/zh-cn/render_images
首先需要安装上snapshot-selenium
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pip install snapshot-selenium -i http: //pypi .douban.com /simple --trusted-host pypi.douban.com |
测试代码如下:
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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叶庭云" , "https://yetingyun.blog.csdn.net/" ])) # sankey.render("./results/009.html") make_snapshot(snapshot, sankey.render(), "Pyecharts生成图片.png" ) |
关键代码:
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from pyecharts.render import make_snapshot from snapshot_selenium import snapshot # 渲染的html保存为png图片 make_snapshot(snapshot, sankey.render(), "Pyecharts生成图片.png" ) |
结果如下:
补充
当然Pyecharts不仅能进行可视化图片渲染,还能进行图表的渲染,同样也是使用selenium, phantomjs 和 pyppeteer这三种方式
渲染图片依赖库
1.make_snapshot
make_snapshot 用于 pyecharts 直接生成图片。
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from pyecharts.render import make_snapshot def make_snapshot( # 渲染引擎,可选 selenium 或者 phantomjs engine: Any , # 传入 HTML 文件路径 file_name: str , # 输出图片路径 output_name: str , # 延迟时间,避免图还没渲染完成就生成了图片,造成图片不完整 delay: float = 2 , # 像素比例,用于调节图片质量 pixel_ratio: int = 2 , # 渲染完图片是否删除原 HTML 文件 is_remove_html: bool = False , # 浏览器类型,目前仅支持 Chrome, Safari,使用 snapshot-selenium 时有效 browser: str = "Chrome" , * * kwargs, ) |
渲染方式
1.snapshot-selenium
snapshot-selenium 是 pyecharts + selenium 渲染图片的扩展,使用 selenium 需要配置 browser driver,这部分可以参考 selenium-python 相关介绍,推荐使用 Chrome 浏览器,可以开启 headless 模式。目前支持 Chrome, Safari。
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# 安装 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([ "衬衫" , "毛衣" , "领带" , "裤子" , "风衣" , "高跟鞋" , "袜子" ]) .add_yaxis( "商家A" , [ 114 , 55 , 27 , 101 , 125 , 27 , 105 ]) .add_yaxis( "商家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-测试渲染图片" )) ) return c make_snapshot(snapshot, bar_chart().render(), "bar0.png" ) |
2.snapshot-phantomjs
snapshot-phantomjs 是 pyecharts + phantomjs 渲染图片的扩展,需要先安装 phantomjs。
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# 安装 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([ "衬衫" , "毛衣" , "领带" , "裤子" , "风衣" , "高跟鞋" , "袜子" ]) .add_yaxis( "商家A" , [ 114 , 55 , 27 , 101 , 125 , 27 , 105 ]) .add_yaxis( "商家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-测试渲染图片" )) ) return c make_snapshot(snapshot, bar_chart().render(), "bar0.png" ) |
3.snapshot-pyppeteer
snapshot-pyppeteer 是 pyecharts + pyppeteer 渲染图片的扩展,需要先安装 pyppeteer 和 Chromium。
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# 安装 pip install snapshot - pyppeteer # 安装完后建议执行 chromium 安装命令 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( "商家A" , Faker.values()) .add_yaxis( "商家B" , Faker.values()) .set_global_opts(title_opts = opts.TitleOpts(title = "Bar-基本示例" , subtitle = "我是副标题" )) ) make_snapshot(snapshot, c.render(), "bar.png" ) if __name__ = = '__main__' : bar_base() |
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原文链接:https://blog.csdn.net/fyfugoyfa/article/details/122815222