ViewX

v0.4.0

Optional visualization module. StatsLibX performs all analysis; ViewX exports results to HTML dashboards, PDF reports, or Presentation slide decks. Core statslibx works without viewx installed.

Overview

Install ViewX only when you need to export results: pip install statslibx[viewx]. Analysis classes work without ViewX. Export methods (.to_html(), .to_presentation(), .to_report()) raise ImportError with install instructions if ViewX is missing.

Canonical flow — analyze then visualize

DescriptiveSummary.to_html()

python

from statslibx import DescriptiveStats, load_iris

df = load_iris()
summary = DescriptiveStats(df).summary()   # works without viewx

summary.to_html(
    "iris_descriptive.html",
    theme="dark_enterprise",
    include_figures=True,
    data=df,
)

Result export methods

to_report_data

to_report_data(result, include_figures: bool = False, data: pd.DataFrame | None = None) -> dict

dict — title, sections, tables, valueboxes?, figures?, metadata?

DescriptiveSummary.to_html

to_html(filename: str = 'report.html', theme: Literal['corporate_blue','dark_enterprise','modern_green','void_indigo','glass_ocean','cyberpunk_neon'] = 'dark_enterprise', include_figures: bool = True, data: pd.DataFrame | None = None, show: bool = False) -> str

str — path to generated HTML

TestResult.to_presentation

to_presentation(filename: str = 'presentation.html', theme: Literal['dark','light','neon','ocean','sunset','corporate'] = 'dark', include_figures: bool = True, open_browser: bool = False) -> str

str — path to generated presentation

render_html

render_html(result, filename: str = 'report.html', theme: HTMLTheme = 'dark_enterprise', ...) -> str

str

ViewX components (re-exported when installed)

HTML

HTML(title: str = 'ViewX Dashboard', theme: ThemeName = 'corporate_blue', cols: int = 12, rows: int = 12) -> HTML

HTML

Presentation

Presentation(title: str = 'Presentación', theme: Literal['dark','light','neon','ocean','sunset','corporate'] = 'dark') -> Presentation

Presentation

Slide

Slide(title: str = '', notes: str = '') -> Slide

Slide

from_report_payload

from_report_payload(payload: dict, target: Literal['html','report','presentation'] = 'html', ...) -> str

str — generated file path

Installation

Base install

python

pip install statslibx
# core analysis only

With ViewX export

python

pip install statslibx[viewx]

Import paths

from statslibx import to_report_data, Presentation, Slide, HTML

from statslibx.viewx.adapters import to_report_data

ViewX in the browser playground

The online playground runs the real statslibx in your browser via Pyodide. What works and what does not:

Capability	In the playground	Notes
All analysis (descriptive, inferential, computational, timeseries, distribution, imputation, EDA)	Works	numpy, pandas, scipy, sympy and matplotlib are loaded.
Bundled datasets (iris, penguins, titanic)	Works	Large datasets are not bundled in the browser.
matplotlib plots	Works	Figures render inline in the output panel.
plotly / seaborn	Installable	Pure-Python packages — install them from the Packages panel (micropip).
polars backend	Unavailable	Compiled packages cannot run in the browser; use the pandas backend.
ViewX export (.to_html() / .to_presentation())	Requires pip	Install statslibx[viewx] locally; to_report_data() payloads work everywhere.