![]() Non-monetary support can help with development, collaboration, infrastructure, security, and vulnerability management. As with any donation, you should consult with your tax adviser about your particular tax situation. For donors in the United States, your gift is tax-deductible to the extent provided by law. Visit for more information.ĭonations to Bokeh are managed by NumFOCUS. NumFOCUS provides Bokeh with fiscal, legal, and administrative support to help ensure the health and sustainability of the project. If your company uses Bokeh and is able to sponsor the project, please contact is a Sponsored Project of NumFOCUS, a 501(c)(3) nonprofit charity in the United States. The Bokeh project is grateful for individual contributions, as well as for monetary support from the organizations and companies listed below: Follow usįollow us on Twitter Support Fiscal Support Note: Everyone who engages in the Bokeh project's discussion forums, codebases, and issue trackers is expected to follow the Code of Conduct. If you would like to contribute to Bokeh, please review the Contributor Guide and request an invitation to the Bokeh Dev Slack workspace. Visit the full documentation site to view the User's Guide or launch the Bokeh tutorial to learn about Bokeh in live Jupyter Notebooks.Ĭommunity support is available on the Project Discourse. Once Bokeh is installed, check out the first steps guides. Refer to the installation documentation for more details. To install conda, enter the following command at a Bash or Windows command prompt: conda install bokeh Beautiful and Easy Plotting in Python Pandas + Bokeh A single line of code to create an interactive plot from Pandas dataframe to Bokeh Although Matplotlib can satisfy all our needs when we want to plot something in Python, it is sometimes time-consuming to create a beautiful chart using it. One tricky thing here is that you're using a named index ('timeseries') in pandas. NumPy supports a wide range of hardware and computing platforms, and plays well with. If you don't specify the 'x' value, the default behavior in otting is to try to find a column called 'x' in your ColumnDataSource (which doesn't exist). The fundamental package for scientific computing with Python. To install Bokeh and its required dependencies using pip, enter the following command at a Bash or Windows command prompt: pip install bokeh The issue is that you have to specify which column should be the 'x' column. PackageĬonsider making a donation if you enjoy using Bokeh and want to support its development. It provides elegant, concise construction of versatile graphics and affords high-performance interactivity across large or streaming datasets. Bokeh can help anyone who wants to create interactive plots, dashboards, and data applications quickly and easily. ![]() Bokeh is an interactive visualization library for modern web browsers. ![]()
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