Refactor code structure for improved readability and maintainability

Datos_aleatorios_de_apis_internet.py

@@ -0,0 +1,106 @@
+import marimo
+
+__generated_with = "0.15.1"
+app = marimo.App(width="medium")
+
+
+@app.cell
+def _():
+    import marimo as mo
+    return (mo,)
+
+
+@app.cell
+def _(mo):
+    mo.md(r"""# DataSamples: Datos de apis gratuitas""")
+    return
+
+
+@app.cell
+def _(mo):
+    mo.md(r"""Datos del tiempo De Openmeteo""")
+    return
+
+
+@app.cell
+def _():
+    import requests
+    import pandas as pd
+
+    # Ejemplo: clima horario en Madrid (lat=40.4168, lon=-3.7038)
+    url = "https://api.open-meteo.com/v1/forecast"
+    params = {
+        "latitude": 40.4168,
+        "longitude": -3.7038,
+        "hourly": "temperature_2m,relative_humidity_2m,precipitation"
+    }
+
+    response = requests.get(url, params=params)
+    data = response.json()
+
+    # Convertir a DataFrame
+    _df = pd.DataFrame({
+        "time": data["hourly"]["time"],
+        "temperature_C": data["hourly"]["temperature_2m"],
+        "humidity_%": data["hourly"]["relative_humidity_2m"],
+        "precipitation_mm": data["hourly"]["precipitation"]
+    })
+
+    _df
+    return pd, requests
+
+
+@app.cell
+def _(mo):
+    mo.md(r"""Datos de COVID-19""")
+    return
+
+
+@app.cell
+def _(pd, requests):
+    # import requests
+    # import pandas as pd
+
+    # Ejemplo: datos históricos de COVID en España
+    _url = "https://disease.sh/v3/covid-19/historical/Spain?lastdays=30"
+    _response = requests.get(_url)
+    _data = _response.json()
+
+    cases = _data["timeline"]["cases"]
+    deaths = _data["timeline"]["deaths"]
+    recovered = _data["timeline"]["recovered"]
+
+    # Convertir a DataFrame
+    _df = pd.DataFrame({
+        "date": list(cases.keys()),
+        "cases": list(cases.values()),
+        "deaths": list(deaths.values()),
+        "recovered": list(recovered.values())
+    })
+
+    _df
+    return
+
+
+@app.cell
+def _(mo):
+    mo.md(r"""Datos financieros de Yahoo Finance""")
+    return
+
+
+@app.cell
+def _():
+    import yfinance as yf
+    # import pandas as pd
+
+    # Ejemplo: descargar datos de Apple
+    ticker = yf.Ticker("AAPL")
+    hist = ticker.history(period="1mo")
+
+    _df = hist.reset_index()[["Date", "Open", "High", "Low", "Close", "Volume"]]
+    _df
+    return
+
+
+if __name__ == "__main__":
+    app.run()