学过Python数据分析的朋友都知道，在可视化的工具中，有很多优秀的三方库，比如matplotlib，seaborn，plotly，Boken，pyecharts等等。这些可视化库都有自己的特点，在实际应用中也广为大家使用。 plotly、Boken等都是交互式的可视化工具，结合Jupyter notebook可以非常灵活 ...

We're not really maintaining the figure_factory module these days, and for scatterplot matrices we generally recommend folks use the splom trace or px.scatter_matrix() but neither of those makes it ...

说到Python当中的可视化模块，相信大家用的比较多的还是matplotlib、seaborn等模块，今天小编来尝试用Plotly模块为大家绘制可视化图表，和前两者相比，用Plotly模块会指出来的可视化图表有着很强的交互性。

Let’s start with the advantages of graphic objects over Plotly express. Why use graphic objects over Plotly express? Plotly’s library uses graph objects in the background to produce its figures unless ...

Plotly Express is a new Python visualization library that acts as a wrapper for Plotly, exposing a simple syntax for complex charts. It was inspired by Seaborn and ggplot2 and was specifically ...

As far as I can tell, there are two features that are implemented in plotly.py's make_subplots function that are not supported by layout.grid. The first two are both ...