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Floatview
A floatview output widget for JupyterLab and a data explorer for glue/iplotly
Installation
If you use jupyterlab 2.X:
pip install floatviewjupyter labextension install @jupyter-widgets/jupyterlab-manager@2.0.0jupyter labextension install jupyterlab-plotly@4.7.1jupyter labextension install plotlywidget@4.7.1jupyter labextension install jupyterlab-floatview@0.3.0
If you use jupyterlab 1.X:
pip install floatview==0.2.0jupyter labextension install @jupyter-widgets/jupyterlab-manager@1.0.1jupyter labextension install jupyterlab-datawidgets@6.2.0jupyter labextension install jupyterlab-plotly@1.0.0jupyter labextension install plotlywidget@1.0.0jupyter labextension install jupyterlab-floatview@0.2.0
older versions:
pip install floatview==0.1.18jupyter labextension install @jupyterlab/plotly-extension@0.18.2jupyter labextension install plotlywidget@0.9.1jupyter labextension install @jupyter-widgets/jupyterlab-manager@0.38.1jupyter labextension install jupyterlab-floatview@0.1.11
Usage
The floatview widget is used as a context manager, just like ipywidgets' output widget.
from floatview import Floatviewfrom ipywidgets import IntSlider sc = sl = with sc:
When a single output is displayed in a Floatview, it is allowed to occupy all of the vertical space available. If more content is displayed, the natural height is used instead.
The gluemanagerwidget is used as a data/visualization manager for a glue dataset.
from floatview import GlueManagerWidgetfrom pandas import read_csv data = gmw =
Available Visualizations
#Histogram (supports 1 component) view =
#Scatter (supports 2-n components) view = view =
#ErrorBar (supports 2-n components) view = view =
#Polynomial Fitting 2-n degree (supports n components) view = ;
#scatter 3D (supports 3 components) view =
#Contours 2D (supports 2 components) view = ;
#Table (supports n components) view = ;
#Parallel coordinatess (supports n components) view = ;
#Parallel categories (supports n components) view = ;
#Sankey (supports n components) view = ;
#Sunburst (supports n components) view = ;
#Sankey Tree (supports n components) view = ;
#Scatter Matrix (supports n components) view = ;
#Correlation Matrix (supports n components) view = ;
#Principal components (supports n components) view = ;
#Network (supports 2 components) view = ;
#Image (supports 3 components) view = ;
#Lines (supports n components) view = ;