cavedave · July 26, 2025 09:33
diff --git a/coaluk.ipynb b/coaluk.ipynb
 {
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyP+bsSgAsrqoMnlwbOjlsGQ",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "ir",
      "display_name": "R"
    },
    "language_info": {
      "name": "R"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/cavedave/a5bc2d064a6273dffca6da7335a73ab1/coaluk.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A remake of  https://www.reddit.com/r/dataisbeautiful/comments/btmbxm/uk_electricity_from_coal_oc/\n"
      ],
      "metadata": {
        "id": "KUBwY32aEsjS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "library(dplyr)\n",
        "library(lubridate)\n",
        "library(ggplot2)\n",
        "library(scales)\n",
        "library(grid)\n",
        "\n",
        "# 1) Load & prep\n",
        "data <- read.csv(\"/content/gridwatch.csv\")\n",
        "data$timestamp <- ymd_hms(data$timestamp)\n",
        "\n",
        "daily <- data %>%\n",
        "# include 2011 now—so we get that partial year on top\n",
        "  #filter(timestamp >= \"2011-01-01\") %>%\n",
        "  filter(timestamp >= \"2012-01-01\") %>%         # drop incomplete 2011\n",
        "  group_by(day = floor_date(timestamp, \"day\")) %>%\n",
        "  summarise(coal   = sum(coal),\n",
        "            demand = sum(demand)) %>%\n",
        "  mutate(\n",
        "    pct_coal = 100 * coal / demand,\n",
        "    year     = year(day),\n",
        "    doy      = yday(day)\n",
        "  ) %>%\n",
        "  filter(doy != 366)                             # drop Feb 29\n",
        "\n",
        "# cap at 50% for visual consistency\n",
        "daily$pct_coal[daily$pct_coal > 50] <- 50\n",
        "\n",
        "# 2) Use a continuous gradient instead of discrete greys\n",
        "#    mint-green (#66C2A5) → dark green → black\n",
        "grad_cols <- c(\"#e5f5e0\", \"#66C2A5\", \"#006d2c\", \"#000000\")\n",
        "\n",
        "last_doy <- yday(ymd(\"2024-09-30\"))\n",
        "\n"
      ],
      "metadata": {
        "id": "zcAwtxJWCzwo"
      },
      "execution_count": 53,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "library(tibble)\n",
        "\n",
        "# create two new rows for Mar 18 & 19, 2025 that are currently empty\n",
        "new_days <- tibble(\n",
        "  day     = as.Date(c(\"2025-03-18\", \"2025-03-19\")),\n",
        "  coal    = 0L,\n",
        "  demand  = NA_integer_,\n",
        "  pct_coal= 0,\n",
        "  year    = 2025L,\n",
        "  doy     = yday(day)\n",
        ")\n",
        "\n",
        "# bind them in and re-sort\n",
        "daily <- bind_rows(daily, new_days) %>%\n",
        "  arrange(day)\n"
      ],
      "metadata": {
        "id": "3g3UDudWCZ4Z"
      },
      "execution_count": 54,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "\n",
        "# 3) Plot\n",
        "p <- ggplot(daily, aes(x = doy, y = year, fill = pct_coal)) +\n",
        "  geom_tile() +\n",
        "  #geom_curve(\n",
        "  #  aes(\n",
        "  #    x    = last_doy -1,    # arrow tail x\n",
        "  #    y    = 2025.1,           # arrow tail y (pick a free spot)\n",
        "  #    xend = last_doy + 1,     # arrow head x\n",
        "  #    yend = 2024.4            # arrow head y (just above the tile)\n",
        "  #  ),\n",
        "  #  curvature = -0.2,\n",
        "  #  arrow     = arrow(length = unit(0.03, \"npc\")),\n",
        "  #  colour    = \"black\",\n",
        "  #  size      = 0.3\n",
        "  #) +\n",
        "    geom_segment(\n",
        "  aes(\n",
        "    x    = last_doy,        # same x as text\n",
        "    xend = last_doy,        # vertical line\n",
        "    y    = 2024.9,          # start just below text\n",
        "    yend = 2024.5           # into the middle of the 2024 row\n",
        "  ),\n",
        "  arrow = arrow(length = unit(0.03, \"in\"), type = \"closed\"),\n",
        "  colour = \"black\",\n",
        "  size   = 0.4\n",
        ") +\n",
        "  # a small text label at the tail of the arrow\n",
        "  annotate(\n",
        "    \"text\",\n",
        "    x     = last_doy-50,\n",
        "    y     = 2025.1,\n",
        "    label = \"Last coal plant shut 30 Sep 2024\",\n",
        "    hjust = 0,\n",
        "    vjust = 0.5,\n",
        "    size  = 4,\n",
        "    colour = \"black\"\n",
        "  )+\n",
        "  scale_fill_gradientn(\n",
        "    colours = grad_cols,\n",
        "    limits  = c(0,50),\n",
        "    oob     = scales::squish,\n",
        "    name    = \"% Coal\\n(per day)\"\n",
        "  ) +\n",
        "  scale_x_continuous(\n",
        "    expand = c(0,0),\n",
        "    breaks = c(1,32,60,91,121,152,182,213,244,274,305,335),\n",
        "    labels = month.abb\n",
        "  ) +\n",
        "  #scale_y_reverse() +\n",
        "    scale_y_reverse(\n",
        "    #limits = c(2012, 2026),       # keep that extra band for your arrow\n",
        "    breaks = c(2012, 2015, 2020, 2025),\n",
        "    expand = c(0,0)\n",
        "  ) +\n",
        "  labs(\n",
        "    title    = \"UK Electricity from Coal\",\n",
        "#    subtitle = \"Gridwatch data, continuous 0–50% gradient\",\n",
        "    caption  = \"Gridwatch data by @iamreddave\"\n",
        "  ) +\n",
        "  theme(\n",
        "    # completely white background\n",
        "    panel.background   = element_rect(fill = \"white\", color = NA),\n",
        "    plot.background    = element_rect(fill = \"white\", color = NA),\n",
        "    panel.grid         = element_blank(),\n",
        "    axis.ticks         = element_blank(),\n",
        "    axis.title         = element_blank(),\n",
        "    axis.text.y        = element_text(size = 12),\n",
        "    axis.text.x        = element_text(size = 12, vjust = -0.5),\n",
        "    legend.position    = \"top\",\n",
        "    plot.title         = element_text(face = \"bold\", hjust = 0.5, size = 20),\n",
        "    plot.subtitle      = element_text(face = \"italic\", hjust = 0.5, size = 14),\n",
        "    plot.caption       = element_text(size = 9, hjust = 1)\n",
        "  )\n",
        "\n",
        "print(p)\n",
        "# 4) Save at a size: 1200×600 px (12×6 in @100 dpi)\n",
        "ggsave(\"coal_heatmap_arrow.png\",\n",
        "       plot   = p,\n",
        "       width  = 12, height = 6, units = \"in\",\n",
        "       dpi    = 100)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "XkK_O_wopZsF",
        "outputId": "c8f1ab2f-6843-44ea-e0ae-f9df5f087833"
      },
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "plot without title"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAACXBIWXMAABJ0AAASdAHeZh94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\nAAAAADBMQGIHAAAAADBM/D9UTgdQ+mgLYgAAAABJRU5ErkJggg=="
          },
          "metadata": {
            "image/png": {
              "width": 420,
              "height": 420
            }
          }
        }
      ]
    }
  ]
 }
No results found