Bokeh Charts interface in Python for plotting and data visualization
Hello,
In this lecture I show how to create a Chart graph using Bokeh library in Python. So we will see what Bokeh can do.
So specifically in this lecture you will learn how to create a scatter plot using Bokeh. So first thing you want to do is make sure you have Bokeh installed so if you have a nice foliage yet you can just go ahead. and pip install Bokeh in your command line or use Python Anaconda framework as me in this video tutorial
You may need to have Pandas and Numpy in your system for Bokeh to work properly.
For demonstrate how Bokeh is working I sue Jupyter Notebook to generate Bokeh plots. Jupyter Notebook is a fantastic notebook to run Python code in web based environment.
This Bokeh video tutorial perfect fit to beginners of Data Visualization and Data Analytics.
In this Bokeh example you will see how to create Panda dataframe, set values to the dataframe and prepare it for publishing. Create a simple Chart in web based graphical environment by using Scatter method in Python code.
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Vytautas.
On this page of the site you can watch the video online Bokeh Charts interface in Python for plotting and data visualization with a duration of hours minute second in good quality, which was uploaded by the user Data Science Garage 14 June 2017, share the link with friends and acquaintances, this video has already been watched 2,777 times on youtube and it was liked by 10 viewers. Enjoy your viewing!
