前端画图

  1. Vega-Lite
    https://vega.github.io/vega-lite/tutorials/getting_started.html
    可以直接HTML
<!DOCTYPE html>
<html>
  <head>
    <title>Vega-Lite Bar Chart</title>
    <meta charset="utf-8" />

    <script src="https://cdn.jsdelivr.net/npm/vega@5.17.0"></script>
    <script src="https://cdn.jsdelivr.net/npm/vega-lite@4.17.0"></script>
    <script src="https://cdn.jsdelivr.net/npm/vega-embed@6.12.2"></script>

    <style media="screen">
      /* Add space between Vega-Embed links  */
      .vega-actions a {
        margin-right: 5px;
      }
    </style>
  </head>
  <body>
    <h1>Template for Embedding Vega-Lite Visualization</h1>
    <!-- Container for the visualization -->
    <div id="vis"></div>

    <script>
      // Assign the specification to a local variable vlSpec.
      var vlSpec = {
        $schema: 'https://vega.github.io/schema/vega-lite/v4.json',
        data: {
          values: [
            {a: 'C', b: 2},
            {a: 'C', b: 7},
            {a: 'C', b: 4},
            {a: 'D', b: 1},
            {a: 'D', b: 2},
            {a: 'D', b: 6},
            {a: 'E', b: 8},
            {a: 'E', b: 4},
            {a: 'E', b: 7}
          ]
        },
        mark: 'bar',
        encoding: {
          y: {field: 'a', type: 'nominal'},
          x: {
            aggregate: 'average',
            field: 'b',
            type: 'quantitative',
            axis: {
              title: 'Average of b'
            }
          }
        }
      };

      // Embed the visualization in the container with id `vis`
      vegaEmbed('#vis', vlSpec);
    </script>
  </body>
</html>
  1. altair
    https://altair-viz.github.io/getting_started/overview.html
    需要结合python
import altair as alt
from vega_datasets import data

chart = alt.Chart(data.cars.url).mark_point().encode(
    x='Horsepower:Q',
    y='Miles_per_Gallon:Q',
    color='Origin:N'
)

# chart.save('chart.json')
chart.save('chart.png')
posted @ 2020-11-07 19:42  该显示昵称已被使用了  阅读(260)  评论(0)    收藏  举报