Quickly and accurately render even the largest data.
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Updated
Nov 10, 2024 - Python
Quickly and accurately render even the largest data.
A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews
Raster-based Spatial Analytics for Python
Helper repo for the 'Map-based Visualizations in Python' tutorial series on Medium.
Mapping and monitoring deep subglacial water activity in Antarctica using remote sensing and machine learning, with ICESat-2!
Analyzing 200 GB of NYC taxi dataset.
hacky way to bundle some edges in networkx and matplotlib
Large scale visualizations of unstructured mesh data
A simple Panel-based dashboard visualizing geotagged tweets with hvplot and Datashader.
Jupyer notebook and snippets for the PyData Munich HDF5 tutorial
Small pieces of code
GPU accelerated Jupyter dashboard.
Schulungsmaterialen für die Cusy Python-Schulungen: https://cusy.io/de/seminare
🌎 Datashader enabled TMS server with ElasticSearch backend
Combines datashader with dynamic bokeh overlay depending on zoom level
Flexible stacked visualization of circadian data from multiple sources and devices
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