datavis/TNB_tariff_history.ipynb
2025-03-22 23:39:52 +08:00

134 lines
56 KiB
Plaintext

{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as pl\n",
"from matplotlib import font_manager\n",
"import numpy as np"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Read excel data"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"xl_path = \"TNB Base Tariff History.xlsx\"\n",
"df = pd.read_csv(xl_path)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"\n",
"pl.figure(figsize=(12, 6))\n",
"pl.rcParams[\"font.family\"] = \"Exo 2\"\n",
"font_manager.fontManager.addfont('C:/Users/User/Documents/Exo2-VariableFont_wght.ttf')\n",
"\n",
"start_year = df[\"Year\"].min()\n",
"end_year = df[\"Year\"].max()\n",
"plot_title = f\"TNB Base Tariff History ({start_year} - {end_year})\"\n",
"\n",
"# Line and points\n",
"pl.plot(df[\"Year\"], df[\"Base Tariff (sen/kWh)\"],\n",
" linewidth=1,\n",
" color='#fcd913',\n",
" alpha=0.9)\n",
"pl.ylim(bottom=20)\n",
"pl.title(plot_title, fontsize=24, fontweight='bold', color='grey')\n",
"\n",
"# Set x-axis to show years as integers only\n",
"pl.gca().xaxis.set_major_formatter(pl.FuncFormatter(lambda x, _: f'{int(x):d}'))\n",
"pl.gca().tick_params(axis='both', colors='grey')\n",
"pl.xlabel('Year', fontsize=14, fontweight='bold', color='grey')\n",
"pl.ylabel('Base Tariff (sen/kWh)', fontsize=14, fontweight='bold', color='grey')\n",
"\n",
"\n",
"# set grid edges to be white\n",
"pl.gca().spines['bottom'].set_color('white')\n",
"pl.gca().spines['top'].set_color('white')\n",
"pl.gca().spines['right'].set_color('white')\n",
"pl.gca().spines['left'].set_color('white')\n",
"\n",
"\n",
"# Fill the space below the line with a gradient\n",
"x = df[\"Year\"]\n",
"y = df[\"Base Tariff (sen/kWh)\"]\n",
"pl.fill_between(x, y, color='#fcd913', alpha=0.3)\n",
"\n",
"# Fit a line using shifted years so that the intercept represents the base tariff at start_year\n",
"shifted_years = x - start_year\n",
"# calculate the year over year perentage increase\n",
"percentage_increase = (y - y.shift(1)) / y.shift(1) * 100\n",
"slope, intercept = np.polyfit(shifted_years, y, 1)\n",
"\n",
"# Compute the best fit line values\n",
"best_fit = intercept + slope * (x - start_year)\n",
"pl.plot(x, best_fit, color='orange', linestyle='--', linewidth=2)\n",
"\n",
"# Compute the gradient as percentage increase per year relative to the starting tariff\n",
"average_annnual_increase = np.mean(percentage_increase)\n",
"\n",
"# Annotate the plot with the gradient information\n",
"pl.text(start_year + 1, y.min() + 2, f'Avg. Yearly Increase: {average_annnual_increase:.2f}%', color='orange', fontsize=12)\n",
"pl.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}