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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 show method 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

Open in Databricks

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/0.17/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.