From c202d34c1461f6f11ac88b03c05cd97c07bd40f3 Mon Sep 17 00:00:00 2001 From: Laura <laura.marcela.becerra@gmail.com> Date: Tue, 21 Feb 2023 21:58:54 -0500 Subject: [PATCH] changes in Cambio Climatico --- Book/CambioClimaticoII.md | 106 ++++----------------------------- Book/CambioClimaticoIII.md | 116 +++++++++++++++++++++++++++++++++++++ 2 files changed, 128 insertions(+), 94 deletions(-) diff --git a/Book/CambioClimaticoII.md b/Book/CambioClimaticoII.md index c10e62a..7023235 100644 --- a/Book/CambioClimaticoII.md +++ b/Book/CambioClimaticoII.md @@ -33,6 +33,14 @@ Los datos, recolectados durante muchos años, revelan los signos y patrones de u ## Incremento de la temperatura +````{margin} +```{note} +Aqui va una explicacion de la grafica ! +``` +```` + + + ```{code-cell} :tags: [hide-input] @@ -56,7 +64,7 @@ fig.update_layout ( xaxis_title="Año", yaxis_title="AnomalÃa Térmica", autosize=False, - width=800, + width=750, height=500, margin=dict( l=50, @@ -108,104 +116,14 @@ fig.show() ``` -## Emisión de CO$_2$ -```{code-cell} -:tags: [hide-input] -import plotly.graph_objs as go -import pandas as pd -from plotly.subplots import make_subplots - -#df = pd.read_csv(r'https://nyc3.digitaloceanspaces.com/owid-public/data/co2/owid-co2-data.csv') -df = pd.read_csv('./datos/owid-co2-data.csv') - -continents = ['Europe','North America','South America','Asia','Oceania'] -co2continents = df[df['country'].isin(continents)] - -co2continents = co2continents.rename(columns={"country": "Región"}) -fig = make_subplots(rows=1, cols=2) -#fig= go.FigureWidget() - -labels = ['Europa','América del Norte','América del Sur','Asia','Oceania'] -colors= ['rgb(31, 119, 180)', 'rgb(255, 127, 14)', - 'rgb(44, 160, 44)', 'rgb(214, 39, 40)', - 'rgb(148, 103, 189)', 'rgb(140, 86, 75)', - 'rgb(227, 119, 194)', 'rgb(127, 127, 127)', - 'rgb(188, 189, 34)', 'rgb(23, 190, 207)'] -ymax = co2continents["year"].max()+10 -ymin = co2continents["year"].min()-10 - -i=0 -for c in continents: - df = co2continents[co2continents['Región']== c ] - fig.add_scatter( x = df['year'], y = df['co2'] , name=labels[i],legendgroup=labels[i],text=labels[i], row=1, col=1, - line=dict(color=colors[i]) ) - i+=1 - -i=0 -for c in continents: - df = co2continents[co2continents['Región']== c ] - fig.add_scatter( x = df['year'], y = df["share_global_co2"] , name=labels[i], legendgroup=labels[i],text=labels[i], row=1, col=2, - showlegend=False, line=dict(color=colors[i]) ) - i+=1 +<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> -note = 'datos tomados de https://ourworldindata.org/co2-and-greenhouse-gas-emissions' -fig.add_annotation( - showarrow=False, - text=note, - font=dict(size=10), - xref='x domain', - x=1.6, - yref='y domain', - y=-0.205 - ) +## Aumento del nivel del mar -fig.update_layout ( - xaxis_title="Año", - yaxis_title="co2 [Toneladas]", - xaxis2_title="Año", - yaxis2_title="Porcentaje global [%]", - autosize=False, - width=1200, - height=500, - margin=dict( - l=50, - r=50, - b=50, - t=50, - pad=4), - legend_title="Región", - font=dict( - family="Rockwell", - size=16, - #color="RebeccaPurple" - ), - plot_bgcolor='rgba(0,0,0,0)' -) - -fig.update_xaxes( - ticks='outside', - showline=True, - linecolor='black', - gridcolor='lightgrey', - range=[ymin,ymax] -) -fig.update_yaxes( - ticks='outside', - showline=True, - linecolor='black', - gridcolor='lightgrey' -) - - - - -fig.show() - - -``` +## Retroceso de los Glaciares diff --git a/Book/CambioClimaticoIII.md b/Book/CambioClimaticoIII.md index 4751d9e..bf6dd18 100644 --- a/Book/CambioClimaticoIII.md +++ b/Book/CambioClimaticoIII.md @@ -1 +1,117 @@ +--- +jupytext: + cell_metadata_filter: -all + formats: md:myst + text_representation: + extension: .md + format_name: myst + format_version: 0.13 + jupytext_version: 1.11.5 +kernelspec: + display_name: Python 3 + language: python + name: python3 +--- + + # Causas y efectos del cambio climático + +## Emisión de CO$_2$ + +```{code-cell} +:tags: [hide-input] + +import plotly.graph_objs as go +import pandas as pd +from plotly.subplots import make_subplots + +#df = pd.read_csv(r'https://nyc3.digitaloceanspaces.com/owid-public/data/co2/owid-co2-data.csv') +df = pd.read_csv('./datos/owid-co2-data.csv') + +continents = ['Europe','North America','South America','Asia','Oceania'] +co2continents = df[df['country'].isin(continents)] + +co2continents = co2continents.rename(columns={"country": "Región"}) +fig = make_subplots(rows=1, cols=2) +#fig= go.FigureWidget() + +labels = ['Europa','América del Norte','América del Sur','Asia','Oceania'] +colors= ['rgb(31, 119, 180)', 'rgb(255, 127, 14)', + 'rgb(44, 160, 44)', 'rgb(214, 39, 40)', + 'rgb(148, 103, 189)', 'rgb(140, 86, 75)', + 'rgb(227, 119, 194)', 'rgb(127, 127, 127)', + 'rgb(188, 189, 34)', 'rgb(23, 190, 207)'] +ymax = co2continents["year"].max()+10 +ymin = co2continents["year"].min()-10 + +i=0 +for c in continents: + df = co2continents[co2continents['Región']== c ] + fig.add_scatter( x = df['year'], y = df['co2'] , name=labels[i],legendgroup=labels[i],text=labels[i], row=1, col=1, + line=dict(color=colors[i]) ) + i+=1 + +i=0 +for c in continents: + df = co2continents[co2continents['Región']== c ] + fig.add_scatter( x = df['year'], y = df["share_global_co2"] , name=labels[i], legendgroup=labels[i],text=labels[i], row=1, col=2, + showlegend=False, line=dict(color=colors[i]) ) + i+=1 + + +note = 'datos tomados de https://ourworldindata.org/co2-and-greenhouse-gas-emissions' +fig.add_annotation( + showarrow=False, + text=note, + font=dict(size=10), + xref='x domain', + x=1.6, + yref='y domain', + y=-0.205 + ) + +fig.update_layout ( + xaxis_title="Año", + yaxis_title="co2 [Toneladas]", + xaxis2_title="Año", + yaxis2_title="Porcentaje global [%]", + autosize=False, + width=1200, + height=500, + margin=dict( + l=50, + r=50, + b=50, + t=50, + pad=4), + legend_title="Región", + font=dict( + family="Rockwell", + size=16, + #color="RebeccaPurple" + ), + plot_bgcolor='rgba(0,0,0,0)' +) + +fig.update_xaxes( + ticks='outside', + showline=True, + linecolor='black', + gridcolor='lightgrey', + range=[ymin,ymax] +) +fig.update_yaxes( + ticks='outside', + showline=True, + linecolor='black', + gridcolor='lightgrey' +) + + + + +fig.show() + + +``` + -- GitLab