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Streamlit

Features

The features of ipyvizzu-story that are available in Streamlit are marked with a green check.

  • Display the created Story (play method)

  • Display the created Story (_repr_html_ method)

  • Use fullscreen

  • Use navigation buttons

  • Set width/height of the Story

  • Export the Story into a html file

  • Get the html Story as a string

Installation

Run the following command in your command line in order to install ipyvizzu-story (visit Installation chapter for more options and details).

pip install ipyvizzu-story[streamlit]

Sample

Try ipyvizzu-story in Streamlit with the following sample.

# import ipyvizzu and ipyvizzu-story
 
from ipyvizzu import Data, Config
from ipyvizzustory import Slide, Step
 
from ipyvizzustory import Story  # or
 
# from ipyvizzustory.env.st.story import Story
 
 
# create data and initialize Story with the created data
 
data = Data()
data.add_series("Foo", ["Alice", "Bob", "Ted"])
data.add_series("Bar", [15, 32, 12])
data.add_series("Baz", [5, 3, 2])
 
# you can also add data with pandas
 
# import pandas as pd
#
# data = Data()
# df = pd.read_csv(
#     "https://ipyvizzu-story.vizzuhq.com/0.12/assets/data/data.csv"
# )
# data.add_df(df)
 
story = Story(data=data)
 
 
# create Slides and Steps and add them to the Story
 
slide1 = Slide(
    Step(
        Config({"x": "Foo", "y": "Bar"}),
    )
)
story.add_slide(slide1)
 
slide2 = Slide(
    Step(Config({"color": "Foo", "x": "Baz", "geometry": "circle"}))
)
story.add_slide(slide2)
 
 
# note: in Streamlit if you want to use the `play` method,
# you need to set the width and height in pixels or set the width to 100%
 
story.set_size(width="800px", height="480px")
 
 
# you can export the Story into a html file
 
story.export_to_html(filename="mystory.html")
 
# or you can get the html Story as a string
 
html = story.to_html()
print(html)
 
 
# you can display the Story with the `play` method
 
story.play()

Place the above code blocks into a python file (for example called ipyvizzustory_example.py) and run the following command in your command line in order to try it.

streamlit run ipyvizzustory_example.py

Check the Tutorial for more info.