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exercicio_industrializacao_Brasil.ipynb
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"source": [
"from bokeh.plotting import output_notebook, show, figure\n",
"from bokeh.models import BoxAnnotation\n",
"import pandas as pd\n",
"from numpy import logical_and as l_and\n",
"from warnings import filterwarnings\n",
"filterwarnings(\"ignore\")\n",
"\n",
"output_notebook()"
]
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{
"cell_type": "code",
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"metadata": {
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"source": [
"emissao_co2 = pd.read_csv(\"../../dados/co2_por_nacao.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(0, 'Nation')\n",
"(1, 'Year')\n",
"(2, 'Total CO2 emissions from fossil-fuels and cement production (thousand metric tons of C)')\n",
"(3, 'Emissions from solid fuel consumption')\n",
"(4, 'Emissions from liquid fuel consumption')\n",
"(5, 'Emissions from gas fuel consumption')\n",
"(6, 'Emissions from cement production')\n",
"(7, 'Emissions from gas flaring')\n",
"(8, 'Per capita CO2 emissions (metric tons of carbon)')\n",
"(9, 'Emissions from bunker fuels (not included in the totals)')\n"
]
}
],
"source": [
"for i in enumerate(emissao_co2.columns):\n",
" print(i)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"brasil = emissao_co2[emissao_co2.Nation == \"BRAZIL\"]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
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"source": [
"plot_comb_foss = figure(plot_width=900, plot_height=450, title=\"Emissões de co2 no Brasil\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"periodos = [1930, 1945, 1964, 1985]\n",
"periodos_colors = iter([\"green\",\"purple\", \"yellow\", \"black\", \"red\"])\n",
"\n",
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" else:\n",
" box = BoxAnnotation(left=periodos[p-1], right=periodos[p], fill_color=next(periodos_colors))\n",
" plot_comb_foss.add_layout(box)\n",
"\n",
"box = BoxAnnotation(left=periodos[-1], fill_color=next(periodos_colors))\n",
"plot_comb_foss.add_layout(box)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
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"source": [
"combustiveis = [\n",
" \"Total CO2 emissions from fossil-fuels and cement production (thousand metric tons of C)\",\n",
" \"Emissions from solid fuel consumption\",\n",
" \"Emissions from liquid fuel consumption\",\n",
" \"Emissions from gas fuel consumption\",\n",
" \"Emissions from gas flaring\",\n",
" \"Emissions from bunker fuels (not included in the totals)\"\n",
"]\n",
"\n",
"colors = [\"red\", \"black\", \"blue\", \"green\", \"darkorange\", \"purple\"]\n",
"\n",
"for item, cor in zip(combustiveis, colors):\n",
" plot_comb_foss.line(brasil.Year, brasil[item], color=cor, legend=item, line_width=1.3)\n",
" \n",
"plot_comb_foss.legend.location = (70, 420)\n",
"# plot_comb_foss.legend.background_fill_alpha = 0.5\n",
"\n",
"show(plot_comb_foss)"
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"Acima, cada cor de fundo representa um período da história da república, na seguinte ordem:\n",
"\n",
"* Primeira República\n",
"* Era Vargas\n",
"* República Nova\n",
"* Regime Militar\n",
"* Nova República\n",
"\n",
"Escolha um dos itens exibidos no gráfico (como __`Emissions from solid fuel consumption`__) e correlacione com algum período da República, identificando sua importância na indústria/economia e possíveis períodos de crescimento ou crise econômica."
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]
},
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}
],
"source": [
"plot_periodo = figure(plot_width=900, plot_height=450, title=\"Combustíveis fósseis líquidos - Regime Militar\")\n",
"\n",
"column = \"Emissions from liquid fuel consumption\"\n",
"\n",
"ditadura = brasil[l_and(brasil.Year >= 1964, brasil.Year <= 1985)]\n",
"\n",
"plot_periodo.line(ditadura.Year, ditadura[column], color=\"black\", line_width=2)\n",
"show(plot_periodo)"
]
}
],
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