You can download the code of this step here or all the steps here.

For Notebooks

The "Getting Started" Notebook is available here. In Taipy GUI, the process to execute a Jupyter Notebook is different from executing a Python Script. It is important to check the Notebook content and see the documentation.

Step 6: Page layout

You have created a full forecasting application that predicts across multiple days with different parameters in just a few steps. However, the page's layout could be greatly improved. Three new useful controls will be used to get a more aesthetically pleasing page. These are:

• part: creates a group of text/visual elements. A useful property of part is render. If set to False, it will not display the part. This allows the developer to hide a group of visual elements dynamically.

<|part|render={bool_variable}|
Text
Or visual elements...
|>

• layout: creates invisible columns where you can put your texts and visual elements. The columns property indicates the width and number of columns. Here, we create three columns of the same width.

<|layout|columns=1 1 1|
Button in first column <|Press|button|>

Second column

Third column
|>

• expandable: creates a block that can expand or shrink.

Back to the code

page = """
<|toggle|theme|>

# Getting started with Taipy GUI

<|layout|columns=1 1|
<|
My text: <|{text}|>

Enter a word:

<|{text}|input|>

<|Analyze|button|on_action=local_callback|>
|>


<|Table|expandable|
<|{dataframe}|table|width=100%|>
|>

|>

<|layout|columns=1 1 1|
<|
## Positive
<|{np.mean(dataframe['Score Pos'])}|>
|>

<|
## Neutral
<|{np.mean(dataframe['Score Neu'])}|>
|>

<|
## Negative
<|{np.mean(dataframe['Score Neg'])}|>
|>
|>

<|{dataframe}|chart|type=bar|x=Text|y[1]=Score Pos|y[2]=Score Neu|y[3]=Score Neg|y[4]=Overall|color[1]=green|color[2]=grey|color[3]=red|type[4]=line|>
"""