PyConDe-2018---Interactive-Visualization-of-Traffic-Data-using-Bokeh

 by   PatrikHlobil HTML Version: Current License: No License

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kandi X-RAY | PyConDe-2018---Interactive-Visualization-of-Traffic-Data-using-Bokeh Summary

kandi X-RAY | PyConDe-2018---Interactive-Visualization-of-Traffic-Data-using-Bokeh Summary

PyConDe-2018---Interactive-Visualization-of-Traffic-Data-using-Bokeh is a HTML library. PyConDe-2018---Interactive-Visualization-of-Traffic-Data-using-Bokeh has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

PyConDe-2018---Interactive-Visualization-of-Traffic-Data-using-Bokeh
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              PyConDe-2018---Interactive-Visualization-of-Traffic-Data-using-Bokeh has a low active ecosystem.
              It has 15 star(s) with 5 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              PyConDe-2018---Interactive-Visualization-of-Traffic-Data-using-Bokeh has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of PyConDe-2018---Interactive-Visualization-of-Traffic-Data-using-Bokeh is current.

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              PyConDe-2018---Interactive-Visualization-of-Traffic-Data-using-Bokeh has no bugs reported.

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              PyConDe-2018---Interactive-Visualization-of-Traffic-Data-using-Bokeh has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

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              PyConDe-2018---Interactive-Visualization-of-Traffic-Data-using-Bokeh does not have a standard license declared.
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              PyConDe-2018---Interactive-Visualization-of-Traffic-Data-using-Bokeh releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            PyConDe-2018---Interactive-Visualization-of-Traffic-Data-using-Bokeh Key Features

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            Vulnerabilities

            No vulnerabilities reported

            Install PyConDe-2018---Interactive-Visualization-of-Traffic-Data-using-Bokeh

            For this tutorial, you will need a setup with some additional Python packages. On my machine, I had issues with installing a Python3 environment with GeoPandas, therefore I use legacy Python. If you use Anaconda, you can use the Anaconda bash shell to setup an environment with name Python27_TrafficVisualization and all necessary dependencies via:. All necessary data for the execution of the notebook can be downloaded by evaluating the cell in the "Download Data" Section of the Notebook (~ 12 GB).
            Download or clone the content of this repository to your local machine.
            Change your working directory to the folder of the cloned repository: cd /path/to/your/directory
            Open the (Anaconda) Terminal and create virtual environment via: conda env create -f requirements.yml
            Activate environment via: conda activate Python27_TrafficVisualization
            Start Jupyter Notebook Server via: jupyter notebook
            Open Notebook "PyConDe 2018 - Interactive Visualization of Traffic Data.ipynb"

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