![]() ![]() ![]() Tensor learning, algebra and backends to seamlessly use NumPy, MXNet, PyTorch, TensorFlow or CuPy. Python backend system that decouples API from implementation unumpy provides a NumPy API. Manipulate JSON-like data with NumPy-like idioms. We can manipulate data in Python, then visualize it on an interactive leaflet map. It does not have a single all-encompassing package that can be imported to access all the functions. Folium is a Python tool for making map visualizations. Bokeh is a little different from other Python visualisation libraries that you might be familiar with such as Matplotlib or Seaborn, in that it is arranged as many different sub-modules from which you can import the functions you need. Summary: create interactive graphs and web applications. Multi-dimensional arrays with broadcasting and lazy computing for numerical analysis. With that said, Bokeh was founded earlier and has a higher volume of downloads. NumPy-compatible sparse array library that integrates with Dask and SciPy's sparse linear algebra.ĭeep learning framework that accelerates the path from research prototyping to production deployment.Īn end-to-end platform for machine learning to easily build and deploy ML powered applications.ĭeep learning framework suited for flexible research prototyping and production.Ī cross-language development platform for columnar in-memory data and analytics. Python Bokeh Plot for all Types of Google Maps. Labeled, indexed multi-dimensional arrays for advanced analytics and visualization Bokeh wafer map Folium + Bokeh: Poor performance and massive memory usage. 4 27,139 9.3 Python bokeh VS streamlit Streamlit A faster way to build and share data apps. NumPy-compatible array library for GPU-accelerated computing with Python.Ĭomposable transformations of NumPy programs: differentiate, vectorize, just-in-time compilation to GPU/TPU. 6,387 0.0 Python bokeh VS folium Python Data. NumPy's API is the starting point when libraries are written to exploit innovative hardware, create specialized array types, or add capabilities beyond what NumPy provides.ĭistributed arrays and advanced parallelism for analytics, enabling performance at scale. Mode Python Notebooks support five libraries on this list - matplotlib, Seaborn, Plotly, pygal, and Folium - and more than 60 others that you can explore on our Notebook support page. With this power comes simplicity: a solution in NumPy is often clear and elegant. This list is an overview of 12 interdisciplinary Python data visualization libraries, from the well-known to the obscure. the folium map and bokeh plots m : folium.Map, str, optional current map to add. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. Here are the examples of the python api folium.features taken from open. Nearly every scientist working in Python draws on the power of NumPy. ![]()
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