Note
This page is a reference documentation. It only explains the class signature, and not how to use it. Please refer to the user guide for the big picture.
nilearn.reporting.HTMLReport¶
- class nilearn.reporting.HTMLReport(head_tpl, body, head_values=None)[source]¶
- A report written as HTML. - Methods such as - save_as_html, or- open_in_browserare inherited from class- nilearn.plotting.html_document.HTMLDocument.- Parameters:
- head_tplstr.Template or Jinja Template
- This is meant for display as a full page, like writing on disk. This is the Template object used to generate the HTML head section of the report. The template should be filled with: - title: The title of the HTML page. 
- body: The full body of the HTML page. Provided through
- the - bodyinput.
 
 
- bodystr
- This parameter is used for embedding in the provided - head_tpltemplate. It contains the full body of the HTML page.
- head_valuesdict, default=None
- Additional substitutions in - head_tpl. if- Noneis passed, defaults to- {}- Note - This can be used to provide additional values with custom templates. 
 
 - get_iframe(width=None, height=None)[source]¶
- Get the document wrapped in an inline frame. - For inserting in another HTML page of for display in a Jupyter notebook. 
 - property height¶
 - open_in_browser(file_name=None)[source]¶
- Save the plot to a temporary HTML file and open it in a browser. 
 - save_as_html(file_name)[source]¶
- Save the plot in an HTML file, that can later be opened in a browser. - Parameters:
- file_namestr
- Path to the HTML file used for saving. 
 
- file_name
 
 - property width¶
 
Examples using nilearn.reporting.HTMLReport¶
 
Decoding of a dataset after GLM fit for signal extraction
 
Extracting signals of a probabilistic atlas of functional regions
 
Extracting signals from brain regions using the NiftiLabelsMasker
 
Surface-based dataset first and second level analysis of a dataset
 
 
 
 
 
 
 
