Modificacion modulo cambio climatico

Book/CambioClimaticoII.md

@@ -121,10 +121,143 @@ fig.show()
 <center><iframe width="600" height="350" src="https://www.youtube.com/embed/LwRTw_7NNJs" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe><center>
 
 
-## Aumento del nivel del mar
 
 ## Retroceso de los Glaciares
 
+```{sidebar} Glaciares
+<iframe width="450" height="280" src="https://www.youtube.com/embed/3jbMCyE3eUU" frameborder="0" allowfullscreen></iframe>
+
+
+<iframe width="450" height="280" src="https://www.youtube.com/embed/ZVWXC_j7Dqs" frameborder="0" allowfullscreen></iframe>
+```
+
+Explicacion del retroceso de los glaciales
+
+
+```{admonition} Glaciares colombianos
+Algo sobre
+```
+
+```{code-cell} 
+:tags: [hide-input]
+
+import numpy as np
+import pandas as pd
+import plotly.express as px
+import plotly.graph_objects as go
+
+df=pd.read_csv("./datos/state.csv")
+
+labels = ["VOLCAN NEVADO DEL RUIZ","SIERRA NEVADA DE SANTA MARTA",
+         "VOLCAN NEVADO DEL TOLIMA","VOLCAN NEVADO DEL HUILA",
+         "VOLCAN NEVADO DEL SANTA ISABEL","SIERRA NEVADA DE EL COCUY"]
+
+NN=len(labels)
+perc = np.zeros(NN)
+i=0
+for c in  labels:
+    df3 = df[df["NAME"]== c ]
+    df4 = df3[ df3["YEAR"]==df3["YEAR"].min()]
+    df5 = df3[ df3["YEAR"]==df3["YEAR"].max()]
+    
+    perc[i] =(df4.iloc[0]["AREA"] - df5.iloc[0]["AREA"])*100/df4.iloc[0]["AREA"]
+    i+=1
+
+labels2 = ["N. del Ruiz","S.N. de Santan Marta ",
+         "N. del Tolima","N. del Huila",
+         "N. de Santa Isabel ","S.N. del Cocuy"]
+data = {'Name':labels2,
+        'Perc': perc}
+  
+dff1 = pd.DataFrame(data)
+dff = dff1.sort_values('Perc', ascending=True)
+
+fig = px.bar(dff, x="Perc", y="Name",title='<b>Perdida de Área entre [ 1850-2000 ] </b>',
+              template='simple_white', width=450, height=450, text=["{:.2f}%".format(i) for i in dff['Perc']],
+            labels={
+                     "Perc": " ",
+                     "Name": " "})
+
+fig.update_traces(marker_color='#3EB595')
+fig.update_layout(uniformtext_minsize=8, uniformtext_mode='hide', autosize=False, title_x=0.7, title_font_family ="Calibri")
+
+fig.show()
+```
+
+
+## Aumento del nivel del mar
+
+```{code-cell} 
+:tags: [hide-input]
+import pandas as pd
+import plotly.graph_objs as go
+
+
+df = pd.read_csv(r'http://www3.epa.gov/climatechange/images/indicator_downloads/sea-level_fig-1.csv',skiprows=6)
+
+inchmm=25.4
+upper_bound = go.Scatter(
+        name='+',
+        x=df['Year'],
+        y=df['CSIRO - Upper error bound (inches)']*inchmm,
+        mode='lines',
+        line=dict(width=0.5,
+                 color="rgb(255, 188, 0)"),
+        fillcolor='rgba(68, 68, 68, 0.1)',
+        fill='tonexty',
+        showlegend=False )
+
+trace1 = go.Scatter(
+        name='cambio',
+        x=df['Year'],
+        y=df['CSIRO - Adjusted sea level (inches)']*inchmm,
+        mode='lines',
+        line=dict(color='rgb(31, 119, 180)'),
+        fillcolor='rgba(68, 68, 68, 0.1)',
+        fill='tonexty',
+        showlegend=False )
+
+lower_bound = go.Scatter(
+        name='-',
+        x=df['Year'],
+        y=df['CSIRO - Lower error bound (inches)']*inchmm,
+        mode='lines',
+        line=dict(width=0.5, color="rgb(141, 196, 26)"),
+        showlegend=False)
+
+data = [lower_bound, upper_bound, trace1]
+
+layout = go.Layout(
+        yaxis=dict(title='Variación global del nivel del mar [mm]',
+                   showline=True,
+                   linecolor='black',
+                   gridcolor='lightgrey',
+                   mirror=True),
+        #title='Volatility Visualization',
+        xaxis=dict(title='Año', showline=True,
+                   linecolor='black',
+                   gridcolor='lightgrey',
+                   mirror=True ,  
+            rangeslider=dict(
+            visible = True,
+                
+            ),
+            type='date'
+        ),        
+        showlegend = True,
+    width=750,
+    height=500,
+    margin=dict(
+        l=50,r=50,b=50,t=50,pad=4),
+    font=dict(
+        family="Rockwell",
+        size=15),
+    plot_bgcolor='rgba(0,0,0,0)')
+
+fig = go.Figure(data=data, layout=layout)
+
+fig.show()
+````
 
 
 ```{admonition} Para saber más....