add fifth dataviz and note on input data
This commit is contained in:
parent
bd23c3a349
commit
33254b0fc9
1 changed files with 102 additions and 3 deletions
|
|
@ -127,7 +127,7 @@
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": [
|
"source": [
|
||||||
"# load data, set index\n",
|
"# load data, set index\n",
|
||||||
"selected = pd.read_csv(\"final_sources/1-laselected.csv\")\n",
|
"selected = pd.read_csv(\"version_2/input/1-laselected.csv\")\n",
|
||||||
"selected.set_index(\"Year\", inplace=True)"
|
"selected.set_index(\"Year\", inplace=True)"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
|
|
@ -363,13 +363,112 @@
|
||||||
"Label have been shifted to visualy mark this imprecision. Conveying a sense of temporal blur, it underlines the function of these visual representations: these are not precise analytical tools, but allow the reader to perceive historical trends in the data."
|
"Label have been shifted to visualy mark this imprecision. Conveying a sense of temporal blur, it underlines the function of these visual representations: these are not precise analytical tools, but allow the reader to perceive historical trends in the data."
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "6be6896b-fd0a-4ad9-8b39-d89dfbacec40",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"# 5 - Energy balance"
|
||||||
|
]
|
||||||
|
},
|
||||||
{
|
{
|
||||||
"cell_type": "code",
|
"cell_type": "code",
|
||||||
"execution_count": null,
|
"execution_count": null,
|
||||||
"id": "eac58e10-4305-4175-b01c-3744a319e014",
|
"id": "8b157268-bb09-4cd9-98b1-d0f91a790430",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": []
|
"source": [
|
||||||
|
"# load data, set index, and workout total production in given unit\n",
|
||||||
|
"balance = pd.read_csv(\"version_2/input/5-energybalance.csv\")\n",
|
||||||
|
"balance.set_index(\"Year\", inplace=True)\n",
|
||||||
|
"balance['Total'] = balance.sum(axis=1)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "4ae87e36-3268-4c74-acb6-8abd27cc9724",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# workout percentages in their columns\n",
|
||||||
|
"for column in balance:\n",
|
||||||
|
" balance[column + \"_percent\"] = balance[column] / balance.Total"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "a825f3fe-ec3d-4ec4-b227-e38cd027f1c2",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# custom palette matches the biomass one\n",
|
||||||
|
"paletto = [\n",
|
||||||
|
" \"#ededed\",\n",
|
||||||
|
" \"#d1d1d1\",\n",
|
||||||
|
" \"#adadad\",\n",
|
||||||
|
" \"#828282\",\n",
|
||||||
|
" \"#5c5c5c\"\n",
|
||||||
|
"]\n",
|
||||||
|
"\n",
|
||||||
|
"# same settings as before\n",
|
||||||
|
"fig, ax = plt.subplots(figsize = (17,8))\n",
|
||||||
|
"ax.set_facecolor('#fdfdfd')\n",
|
||||||
|
"\n",
|
||||||
|
"# actual plot\n",
|
||||||
|
"ax.stackplot(\n",
|
||||||
|
" balance.index,\n",
|
||||||
|
" balance.Renewables_percent,\n",
|
||||||
|
" balance[\"Nuclear consumption - TWh_percent\"],\n",
|
||||||
|
" balance[\"Gas consumption - TWh_percent\"],\n",
|
||||||
|
" balance[\"Coal consumption - TWh_percent\"],\n",
|
||||||
|
" balance[\"Oil consumption - TWh_percent\"],\n",
|
||||||
|
" colors = paletto[::-1]\n",
|
||||||
|
")\n",
|
||||||
|
"\n",
|
||||||
|
"# custom x axis labels because data starts earlier\n",
|
||||||
|
"start = np.array([1965])\n",
|
||||||
|
"middle = np.arange(1970, 2019, 10)\n",
|
||||||
|
"end = np.array([2020])\n",
|
||||||
|
"ticks_array = np.concatenate((start, middle, end), axis=0)\n",
|
||||||
|
"plt.xticks(ticks_array)\n",
|
||||||
|
"ax.get_yaxis().set_ticks([])\n",
|
||||||
|
"ax.tick_params(length=4, color=\"white\")\n",
|
||||||
|
"ax.tick_params(rotation=35)\n",
|
||||||
|
"plt.xticks(ha='left')\n",
|
||||||
|
"\n",
|
||||||
|
"# same clean look\n",
|
||||||
|
"ax.spines['top'].set_visible(False)\n",
|
||||||
|
"ax.spines['right'].set_visible(False)\n",
|
||||||
|
"ax.spines['bottom'].set_visible(False)\n",
|
||||||
|
"ax.spines['left'].set_visible(False)\n",
|
||||||
|
"ax.set_ymargin(0.005)\n",
|
||||||
|
"ax.set_xmargin(0)\n",
|
||||||
|
"\n",
|
||||||
|
"# legend\n",
|
||||||
|
"labels_legend = [\n",
|
||||||
|
" 'Coal',\n",
|
||||||
|
" 'Oil',\n",
|
||||||
|
" 'Natural gas',\n",
|
||||||
|
" 'Electricity',\n",
|
||||||
|
" 'Biomass'\n",
|
||||||
|
"]\n",
|
||||||
|
"ax.legend(labels=labels_legend, loc='right', bbox_to_anchor=(0.558, 0.5, 0.55, 0.832), edgecolor=\"white\", reverse=True)\n",
|
||||||
|
"\n",
|
||||||
|
"# output to file\n",
|
||||||
|
"plt.savefig(\"version_2/output/5_balance.png\")"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "40b58100-f567-4468-826a-c7826a8f4e17",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"__Note regarding input data pre-processing__\n",
|
||||||
|
"\n",
|
||||||
|
"All datasets have been manually collected, curated, corrected for formatting error, converted to csv with appropriate headers and verified."
|
||||||
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"metadata": {
|
"metadata": {
|
||||||
|
|
|
||||||
Loading…
Reference in a new issue