Hi Tao, The `show()` API works with any IPython notebook runtimes, including Colab, Jupyter Lab and pre-lab Jupyter Notebooks, as long as you have `%pip install apache-beam[interactive]`.
Additionally, the `show_graph()` API needs GraphViz binary installed, details can be found in the README <https://github.com/apache/beam/tree/master/sdks/python/apache_beam/runners/interactive#pre-requisites> . If you've created an Apache Beam notebook instance on Google Cloud, there is an example notebook "Examples/Visualize_Data.ipynb" demonstrating how to visualize data of PCollections with different libraries: - Native Interactive Beam Visualization - Pandas DataFrame - Matplotlib - Seaborn - Bokeh - D3.js Hope this helps! Ning On Fri, Apr 30, 2021 at 9:24 AM Brian Hulette <bhule...@google.com> wrote: > +Ning Kang <ni...@google.com> +Sam Rohde <sro...@google.com> > > On Thu, Apr 29, 2021 at 6:13 PM Tao Li <t...@zillow.com> wrote: > >> Hi Beam community, >> >> >> >> The notebook console from Google Cloud defines a show() API to display a >> PCollection which is very neat: >> https://cloud.google.com/dataflow/docs/guides/interactive-pipeline-development >> >> >> >> If we are using a regular jupyter notebook to run beam app, how can we >> print out a PCollection easily? What’s the best practice? Thanks! >> >> >> >
