user07/01/2022, 3:42 PM
antony.milne07/01/2022, 5:03 PM
commands that can be used to launch a jupyter notebook that has useful kedro functionality already enabled (like being able to load up datasets): https://kedro.readthedocs.io/en/stable/tools_integration/ipython.html. And within a notebook you can do all your usual work with seaborn etc.
* there's particular dataset types that handle plots, e.g.
(also handles seaborn and other libraries built on top of MPL) and
. So it's very common to generate a plot and then save it as a file using these
* these datasets can also be shown when you explore your pipeline on kedro-viz: https://kedro.readthedocs.io/en/stable/tutorial/visualise_pipeline.html#visualise-plotly-charts-in-kedro-viz. Check https://demo.kedro.org/ and click on "Price histogram" if you want an example.
* in the future you should be able to see them in experiment tracking also, so you can compare graphs from different pipelien runs: https://kedro.readthedocs.io/en/stable/tutorial/set_up_experiment_tracking.html
user07/04/2022, 12:03 PM