Files
Visualizaciones/Quak_data_profiler.py
T
egutierrez 46573ccc8e Add drawing and visualization applications with Marimo framework
- Implement dibujar.py for drawing functionality with base64 and PIL image rendering.
- Create dibujar_retropaint.py for retro painting features using the Paint widget.
- Develop draw_data.py to visualize data with Scatter and Bar widgets, including lazy installation of dependencies.
- Add layout configuration for graphical representations in layouts/Graficos_plotly.grid.json.
- Enhance shell interaction with mejora_shell_mowidget.py, allowing local library imports and script execution.
- Introduce primera_prueba_shell_mowidget.py for testing shell commands and user input handling.
- Create prueba_de_embeddings.py for embedding visualizations using Sentence Transformers and dimensionality reduction techniques.
- Implement pygwalker_visualizaciones.py for interactive data exploration and visualization using Pygwalker.
- Add a sample bash script for user input and ping functionality in scripts/mi_script.sh.
2025-09-02 23:53:01 +02:00

26 lines
453 B
Python

import marimo
__generated_with = "0.15.2"
app = marimo.App(width="medium")
@app.cell
def _():
import marimo as mo
import polars as pl
import quak
return mo, pl, quak
@app.cell
def _(mo, pl, quak):
src = "https://github.com/uwdata/mosaic/raw/main/data/athletes.parquet"
df = pl.read_parquet(src) # Cambialo por tu dataframe
q = quak.Widget(df)
mo.ui.anywidget(q)
return
if __name__ == "__main__":
app.run()