import plotly.express as px # 创建一个示例图表 df = px.data.iris() fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species") # 将图表保存为html文件 fig.write_html("scatter_plot.html") # 将图表保存为png图像文件 fig.write_image("scatter_plot.png") 复制代码 在上面...
displayHTML(p) Save the generated plot to a file withplotly.io.write_image(): %sh plotly.io.write_image(fig=data,file="/databricks/driver/plotly_images/<imageName>.jpg", format="jpeg",scale=None, width=None, height=None) Copy the file from the driver node and save it to DBFS: %sh...
A node library to display charts in popup windows and save them as pngs. Supports observablehq/plot, vega-lite and plotly out of the box. - mhkeller/plot
import plotly import plotly.graph_objs as go data = [go.Bar(x=['Apples', 'Pears', 'Nectarines', 'Plums', 'Grapes', 'Strawberries'], y=[5, 3, 4, 2, 4, 6])] html_file = 'plotly-fruit-plot.html' fname = 'plotly-fruit-plot' plotly.offline.plot(data, filename=html_file, ...
放在docker里面的话，只是需要export备份封装后，scp、rsync迁移到别的服务器就可以了。 [[email protecte...
plotly-express: 0.4.1 plotnine: 0.10.1 pluggy: 1.0.0 pointpats: 2.3.0 polars: 0.18.6 polyglot: 16.7.4 pooch: 1.6.0 pox: 0.3.2 ppca: 0.0.4 ppft: 1.7.6.6 preprocessing: 0.1.13 preshed: 3.0.8 prettytable: 3.8.0 progressbar2: 4.2.0 prometheus-client: 0.17.0 promise: 2.3 prompt-...