{"spec_id":"histogram-basic","library":"plotnine","language":"python","code":"\"\"\" anyplot.ai\nhistogram-basic: Basic Histogram\nLibrary: plotnine 0.15.4 | Python 3.13.13\nQuality: 90/100 | Updated: 2026-05-28\n\"\"\"\n\nimport os\nimport sys\n\n\n# Remove this file's directory from sys.path to prevent self-import\n# (this file is named plotnine.py, same as the library being imported)\n_dir = os.path.dirname(os.path.abspath(__file__))\nsys.path = [p for p in sys.path if os.path.abspath(p) != _dir]\n\nimport numpy as np\nimport pandas as pd\nfrom plotnine import (\n    aes,\n    after_stat,\n    annotate,\n    element_blank,\n    element_line,\n    element_rect,\n    element_text,\n    geom_histogram,\n    geom_vline,\n    ggplot,\n    labs,\n    scale_x_continuous,\n    scale_y_continuous,\n    theme,\n    theme_minimal,\n)\n\n\nTHEME = os.getenv(\"ANYPLOT_THEME\", \"light\")\nPAGE_BG = \"#FAF8F1\" if THEME == \"light\" else \"#1A1A17\"\nELEVATED_BG = \"#FFFDF6\" if THEME == \"light\" else \"#242420\"\nINK = \"#1A1A17\" if THEME == \"light\" else \"#F0EFE8\"\nINK_SOFT = \"#4A4A44\" if THEME == \"light\" else \"#B8B7B0\"\n\nBRAND = \"#009E73\"\nMEAN_COLOR = \"#AE3030\"\nMEDIAN_COLOR = \"#4467A3\"\n\n# Data — mixture of two normal distributions for visible bimodality\nnp.random.seed(42)\nn_points = 500\ngroup_a = np.random.normal(loc=45, scale=10, size=int(n_points * 0.55))\ngroup_b = np.random.normal(loc=80, scale=7, size=int(n_points * 0.45))\nscores = np.clip(np.concatenate([group_a, group_b]), 0, 100)\n\ndf = pd.DataFrame({\"score\": scores})\n\nmean_score = float(np.mean(scores))\nmedian_score = float(np.median(scores))\n\n# Pre-compute bin heights to anchor annotation positions and peak shading\n_bin_counts, _ = np.histogram(scores, bins=30, range=(8, 102))\n_max_count = int(_bin_counts.max())\n_y_top = int(_max_count * 1.18)  # explicit y ceiling with headroom\n_y_label = _max_count + 1  # just above tallest bar\n\nplot = (\n    ggplot(df, aes(x=\"score\"))\n    # Subtle peak-region shading behind histogram bars\n    + annotate(\"rect\", xmin=33, xmax=57, ymin=0, ymax=_y_top, fill=BRAND, alpha=0.08, size=0)\n    + annotate(\"rect\", xmin=71, xmax=90, ymin=0, ymax=_y_top, fill=BRAND, alpha=0.08, size=0)\n    + geom_histogram(aes(y=after_stat(\"count\")), bins=30, fill=BRAND, color=\"#006B4F\", alpha=0.85, size=0.3)\n    + geom_vline(xintercept=mean_score, color=MEAN_COLOR, size=1.2, linetype=\"dashed\")\n    + geom_vline(xintercept=median_score, color=MEDIAN_COLOR, size=1.2, linetype=\"solid\")\n    + annotate(\n        \"text\",\n        x=mean_score + 2,\n        y=_y_label,\n        label=f\"Mean: {mean_score:.1f}\",\n        color=MEAN_COLOR,\n        size=3.8,\n        ha=\"left\",\n        fontweight=\"bold\",\n    )\n    + annotate(\n        \"text\",\n        x=median_score - 2,\n        y=_y_label,\n        label=f\"Median: {median_score:.1f}\",\n        color=MEDIAN_COLOR,\n        size=3.8,\n        ha=\"right\",\n        fontweight=\"bold\",\n    )\n    + annotate(\n        \"label\",\n        x=96,\n        y=_y_label - 2,\n        label=\"Bimodal distribution:\\ntwo student clusters\",\n        size=4,\n        color=INK_SOFT,\n        fill=ELEVATED_BG,\n        alpha=0.95,\n        label_size=0.4,\n        ha=\"right\",\n    )\n    + scale_x_continuous(breaks=range(10, 101, 10), limits=(8, 102))\n    + scale_y_continuous(limits=(0, _y_top), expand=(0, 0, 0, 0))\n    + labs(x=\"Test Score (points)\", y=\"Frequency (count)\", title=\"histogram-basic · python · plotnine · anyplot.ai\")\n    + theme_minimal()\n    + theme(\n        figure_size=(8, 4.5),\n        text=element_text(size=7, color=INK_SOFT),\n        axis_title=element_text(size=10, color=INK),\n        axis_text=element_text(size=8, color=INK_SOFT),\n        plot_title=element_text(size=12, color=INK, weight=\"bold\"),\n        panel_grid_major_x=element_blank(),\n        panel_grid_minor=element_blank(),\n        panel_grid_major_y=element_line(color=INK, size=0.3, alpha=0.15),\n        panel_border=element_blank(),\n        plot_background=element_rect(fill=PAGE_BG, color=PAGE_BG),\n        panel_background=element_rect(fill=PAGE_BG),\n        axis_line=element_line(color=INK_SOFT),\n    )\n)\n\nplot.save(f\"plot-{THEME}.png\", dpi=400, width=8, height=4.5, units=\"in\", verbose=False)\n"}