Dec 18, 2025 · hvPlot # A familiar and high-level API for data exploration and visualization .hvplot() is a powerful and interactive Pandas-like .plot() API

Dec 18, 2025 · hvPlot works with the tools you know and love hvPlot supports a wide range of data sources including Pandas, Polars, XArray, Dask, Streamz, Intake, GeoPandas and NetworkX. …

Dec 18, 2025 · User Guide # The user guide provides a detailed introduction to the API and features of hvPlot. In the Introduction you will learn how to activate the plotting API and start using it. Next you …

hvPlot supports a wide range of data sources including Pandas, Polars, XArray, Dask, Intake, GeoPandas and NetworkX. supports the plotting backends Bokeh, Matplotlib and Plotly. exposes the …

hvPlot supports a wide range of data sources including Pandas, Polars, XArray, Dask, Streamz, Intake, GeoPandas and NetworkX. supports the plotting backends Bokeh, Matplotlib and Plotly. exposes the …

.hvplot() ¶ If we switch to import hvplot.pandas and the df.hvplot method instead of %matplotlib inline, an interactively explorable bokeh diagram is now generated with panning and zoom in/out as well as …

Feb 17, 2026 · Purpose and Scope hvPlot is a high-level plotting library that provides a simple, familiar API for interactive data visualization in Python. It serves as a convenient interface to the HoloViz …

Interactive plots using hvplot # Xarray’s builtin plotting functionality wraps matplotlib. The holoviews ecosystem provides the hvplot package to allow easy visualization of xarray (and other) objects. …

Mar 7, 2023 · To demonstrate how easily use hvPlot to create most widely used plots in modern and interactive way

Nov 14, 2023 · Thanks to the HoloViz tools on which hvPlot is built, the resulting apps can easily handle big data (up to billions of rows on an ordinary laptop), remote data (either in Jupyter or in standalone ...