Add new features and updates to dibujar.py and pygwalker_visualizaciones.py

- Introduced a new markdown cell in dibujar.py to enhance user guidance for drawing with the mouse.
- Updated the version in pygwalker_visualizaciones.py from 0.15.1 to 0.15.2.
- Added a new markdown cell in pygwalker_visualizaciones.py for interactive EDA with PyGWalker.
- Refactored return values in pygwalker_visualizaciones.py to streamline data handling.
- Modified Graficos_plotly.grid.json to include additional layout positions.

Graficos_altair.py

@@ -1,17 +1,28 @@
 import marimo
 
-__generated_with = "0.15.1"
+__generated_with = "0.15.2"
 app = marimo.App(width="columns")
 
 
 @app.cell(column=0)
 def _():
     import marimo as mo
+    return (mo,)
+
+
+@app.cell
+def _(mo):
+    mo.md(r"""# Altair: graficos interactivos""")
+    return
+
+
+@app.cell
+def _():
     from vega_datasets import data
     import altair as alt
     import pandas as pd
     import pyarrow
-    return alt, data, mo, pd
+    return alt, data, pd
 
 
 @app.cell
@@ -64,7 +75,6 @@ def _(alt, mo, pd):
 
     bar_chart1 = mo.ui.altair_chart(_bar_chart1)
     bar_chart1
-
     return bar_chart1, dataset
 
 
@@ -123,7 +133,6 @@ def _(alt, data, mo):
 
     weather_chart2 = mo.ui.altair_chart(layered_chart2)
     weather_chart2
-
     return dataset_weather2, weather_chart2
 
 
@@ -197,7 +206,6 @@ def _(alt, data, mo):
 
     movies_chart3 = mo.ui.altair_chart(layered_movies3)
     movies_chart3
-
     return
 
 
@@ -237,7 +245,6 @@ def _(alt, data, mo):
 
     movies_rect4 = mo.ui.altair_chart(rect4.add_params(pts4))
     movies_rect4
-
     return dataset_movies4, pts4, x1, y1
 
 
@@ -257,7 +264,6 @@ def _(alt, dataset_movies4, mo, pts4, x1, y1):
 
     movies_circ4 = mo.ui.altair_chart(circ4)
     movies_circ4
-
     return
 
 

Graficos_plotly.py

@@ -9,8 +9,19 @@ app = marimo.App(
 
 @app.cell
 def _():
-    # Cell 1: gráfico Plotly (reactivo)
     import marimo as mo
+    return (mo,)
+
+
+@app.cell(hide_code=True)
+def _(mo):
+    mo.md(r""" # Plotly: Graficos interactivos con plotly""")
+    return
+
+
+@app.cell
+def _(mo):
+    # Cell 1: gráfico Plotly (reactivo)
     import pandas as pd
     import plotly.express as px
     import numpy as np
@@ -28,7 +39,7 @@ def _():
 
     plot = mo.ui.plotly(fig)  # Solo scatter/treemap/sunburst soportan selección reactiva
     plot
-    return df, mo, np, pd, plot, px
+    return df, np, pd, plot, px
 
 
 @app.cell

Wigglystuff_widgets_jupyter.py

@@ -6,6 +6,13 @@ app = marimo.App(width="medium")
 
 @app.cell
 def _():
+    import marimo as mo
+    return (mo,)
+
+
+@app.cell
+def _(mo):
+    mo.md(r"""# Wigglystuff: widgets interactivos""")
     return
 
 
@@ -279,13 +286,13 @@ def _(mo):
 @app.cell
 def _():
     import altair as alt
-    import marimo as mo
+    # import marimo as mo
     import micropip
     import numpy as np
     import pandas as pd
 
     # await micropip.install("wigglystuff==0.1.1")
-    return alt, mo, np, pd
+    return alt, np, pd
 
 
 @app.cell

__marimo__/session/Graficos_altair.py.json

@@ -1,13 +1,46 @@
 {
   "version": "1",
   "metadata": {
-    "marimo_version": "0.15.1"
+    "marimo_version": "0.15.2"
   },
   "cells": [
+    {
+      "id": "ABIT",
+      "code_hash": "1d0db38904205bec4d6f6f6a1f6cec3e",
+      "outputs": [
+        {
+          "type": "data",
+          "data": {
+            "text/plain": ""
+          }
+        }
+      ],
+      "console": []
+    },
+    {
+      "id": "DhHd",
+      "code_hash": "0a5af7d2e3c1f5f359897f5fbbb24070",
+      "outputs": [
+        {
+          "type": "data",
+          "data": {
+            "text/html": "<span class=\"markdown prose dark:prose-invert\"><h1 id=\"altair-graficos-interactivos\">Altair: graficos interactivos</h1></span>"
+          }
+        }
+      ],
+      "console": []
+    },
     {
       "id": "Hbol",
       "code_hash": "0914bd1bbeb9727790bfe2b5da7b0eb3",
-      "outputs": [],
+      "outputs": [
+        {
+          "type": "error",
+          "ename": "multiple-defs",
+          "evalue": "The variable 'mo' was defined by another cell",
+          "traceback": []
+        }
+      ],
       "console": []
     },
     {

dibujar.py

@@ -10,6 +10,12 @@ def _():
     return (mo,)
 
 
+@app.cell
+def _(mo):
+    mo.md(r"""  # Dibujar: Dibujar con el raton y recibir la imagen""")
+    return
+
+
 @app.cell
 def _():
     from modraw import Draw

layouts/Graficos_plotly.grid.json

@@ -15,6 +15,12 @@
       {
         "position": null
       },
+      {
+        "position": null
+      },
+      {
+        "position": null
+      },
       {
         "position": [
           0,

pygwalker_visualizaciones.py

@@ -1,6 +1,6 @@
 import marimo
 
-__generated_with = "0.15.1"
+__generated_with = "0.15.2"
 app = marimo.App(width="medium")
 
 
@@ -8,6 +8,18 @@ app = marimo.App(width="medium")
 def _():
     # Cell 1 — Imports y utilidades
     import marimo as mo
+
+    return (mo,)
+
+
+@app.cell
+def _(mo):
+    mo.md(r"""# PyGWalker: EDA rapido e interactivo con pygwalker""")
+    return
+
+
+@app.cell
+def _():
     import os
     import pandas as pd
     import numpy as np
@@ -25,7 +37,7 @@ def _():
     DATASET_URLS: Dict[str, str] = {
         "Bike Sharing (DC)": "https://kanaries-app.s3.ap-northeast-1.amazonaws.com/public-datasets/bike_sharing_dc.csv",
     }
-    return DATASET_URLS, mo, pd, pyg, vega_data
+    return DATASET_URLS, pd, pyg, vega_data
 
 
 @app.cell