Interactive plots in jupyter notebook

    • [PDF File]1 Introduction to Matplotlib: 3D Plotting and Animations

      https://info.5y1.org/interactive-plots-in-jupyter-notebook_1_f00c45.html

      Jupyter notebook: Portable: you just need a browser Interactive coding Document: HTML, Markdown support ... • Improve interactive training (open closed notebook and continue training, new interactive plots) • Support for new user interface for new functions • Visualization for regression, multiclass classification, autoencoders ...

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    • bqplot - Interactive Plotting in Python Jupyter Notebook

      Jupyter Notebook, and IPython. Chapter 2, Interactive Data Analysis with pandas, is a hands-on introduction to interactive data analysis and visualization in the Notebook with pandas, matplotlib, and seaborn. Chapter 3, Numerical Computing with NumPy, , ,

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    • [PDF File]Development II seminar Documentation

      https://info.5y1.org/interactive-plots-in-jupyter-notebook_1_dd75d4.html

      Lab Objective: 3D plots and animations are useful in visualizing solutions to ODEs and PDEs ... a Jupyter Notebook, or viewed using any video player supporting the chosen letype. ... This turns o matplotlib's interactive mode until plt.ion() is called. After creating the animation

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    • [PDF File]Jupyter and TMVA - Indico

      https://info.5y1.org/interactive-plots-in-jupyter-notebook_1_1c84a6.html

      Bokeh is an interactive visualization Python library. Provides elegant and concise construction of versatile graphics. Usage: Can be used in Jupyter Notebooks and can provide high-performance interactive charts and plots. Plotly - Alternatives (Bokeh, D3.js) D3.js:

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    • [PDF File]Learning IPython for Interactive Computing and Data ...

      https://info.5y1.org/interactive-plots-in-jupyter-notebook_1_b480a7.html

      nbinteract: generate interactive web pages from jupyter notebooks 5 Python API for Notebook Conversion As a convenience, nbinteract also provides a Python interface to con-vert notebooks to HTML files. To use Python to convert the hello.ipynb notebook mentioned above, run: importnbinteractasnbi

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    • [PDF File]Data Visualization

      https://info.5y1.org/interactive-plots-in-jupyter-notebook_1_bd529c.html

      Jupyter Notebooks can be used with git (or other revision control system). Just checkin the notebook le as a normal le (after creation of the repository): git add Nielsen2017Jupyter_simple.ipynb git commit Nielsen2017Jupyter_simple.ipynb git push Standard Jupyter notebook has no time stamps and no author. Git has that for you.

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    • [PDF File]Finding Related Tables in Data Lakes for Interactive Data ...

      https://info.5y1.org/interactive-plots-in-jupyter-notebook_1_b8c182.html

      A browser-based notebook with support for code, text, mathematical expressions, inline plots and other media. Support for interactive data visualization and use of GUI toolkits. Flexible, embeddable interpreters to load into one's own projects. In 2014, Fernando Pérez announced a spin-off project from IPython called Project Jupyter.

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    • [PDF File]Jupyter (formerly IPython notebook)

      https://info.5y1.org/interactive-plots-in-jupyter-notebook_1_ee8664.html

      Jupyter Notebook [36] and its successor JupyterLab, Apache Zeppelin, and RStudio. Within this environment, users are performing multiple computational steps over data; we con-sider the overall sequence of operations to be a (sometimes one-off and ad hoc) computational workflow. Computational notebook platforms directly capture workflows and ...

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    • [PDF File]nbinteract: Generate Interactive Web Pages From Jupyter ...

      https://info.5y1.org/interactive-plots-in-jupyter-notebook_1_6420b3.html

      Interactive plots There are ways to make plots like these interactive. * On the next slide I useipywidgets: When the notebook is run on a jupyter server ‘radio buttons’ above the plot allow quick re-plotting for selected country regions. •Other libraries such asBokehandPlotlycreate plots with embedded javascript code that allow ...

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    • [PDF File]Matplotlib - Tutorialspoint

      https://info.5y1.org/interactive-plots-in-jupyter-notebook_1_e35a0c.html

      A static view of interactive Manhattan plots for two groups. Selecting a group of SNPs in one of the groups highlights the same SNPs in the other group, and hovering over a dot shows the information associated with the SNP: rs number, base pair position, and a p-value. For the interactive version of this figure, see QR code below for an example.

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