Databricks
Features
The features of ipyvizzu that are available in Databricks are marked with a green check.
- Change the url of
Vizzu(vizzu) - Change the width of the
Chart(width) - Change the height of the
Chart(height) - Use scroll into view (
scroll_into_view=True)
Display features:
- Display all animations after
_repr_html_method called (display=DisplayTarget.MANUAL) - Display all animations after
showmethod called (display=DisplayTarget.MANUAL) - Automatically display all animations after the first cell (
display=DisplayTarget.BEGIN) - Automatically display all animations after the currently running cell (
display=DisplayTarget.ACTUAL) - Automatically display all animations after the last running cell (
display=DisplayTarget.END) - Rerun any cell without rerun the first cell (
display!=DisplayTarget.MANUAL)
Check Chart settings chapter for more details.
Live example
Installation
Place the following code into a notebook cell in order to install ipyvizzu (visit Installation chapter for more options and details).
!pip install ipyvizzu pandas Sample
Try ipyvizzu in Databricks with the following sample.
# import pandas and ipyvizzu import pandas as pd from ipyvizzu import Chart, Data, Config, Style, DisplayTarget # initialize Chart chart = Chart( width="640px", height="360px", display=DisplayTarget.MANUAL ) # add data to Chart data = Data() df = pd.read_csv( "https://ipyvizzu.vizzuhq.com/0.18/showcases/titanic/titanic.csv" ) data.add_df(df) chart.animate(data) # add config to Chart chart.animate( Config( { "x": "Count", "y": "Sex", "label": "Count", "title": "Passengers of the Titanic", } ) ) chart.animate( Config( { "x": ["Count", "Survived"], "label": ["Count", "Survived"], "color": "Survived", } ) ) chart.animate(Config({"x": "Count", "y": ["Sex", "Survived"]})) # add style to Chart chart.animate(Style({"title": {"fontSize": 35}})) # display Chart with _repr_html_ method (display=DisplayTarget.MANUAL) chart Check the Tutorial for more info.