This is a project to try pandas_bokeh for Dashboards. I am following data about fruits the birds come to eat in my window 🐦.
The easiest way to install Bokeh is using the Anaconda Python distribution and its included Conda package management system. To install Bokeh and its required dependencies, enter the following command at a Bash or Windows command prompt:
conda install bokeh
To install using pip, enter the following command at a Bash or Windows command prompt:
pip install bokeh
For more information, refer to the installation documentation.
Via pip:
pip install pandas-bokeh
or conda:
conda install -c patrikhlobil pandas-bokeh
Pandas Bokeh is officially supported on Python 3.5 and above.
Some code to try bokeh before start the project.
I have been collecting data from the quantity of fruit I put in my window every day. A lot of birds come to eat it and I love it!
This is the post I wrote about it.
I am registering this data every day when I put fruit in my window. I do it in a Google Sheets app on my cell phone.
📓 Here the project Notebook.
📓 To run the complete notebook in Binder.
- Bokeh documentation: Python library for creating interactive visualizations for modern web browsers.
- Bokeh Github repository
- Pandas_Bokeh documentation: Bokeh Plotting Backend for Pandas.
- Pandas_Bokeh Github repository
- Some tutorials and posts I read: