{"spec_id":"strip-basic","library":"seaborn","language":"python","code":"\"\"\" anyplot.ai\nstrip-basic: Basic Strip Plot\nLibrary: seaborn 0.13.2 | Python 3.13.14\nQuality: 91/100 | Updated: 2026-08-05\n\"\"\"\n\nimport os\n\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport pandas as pd\nimport seaborn as sns\n\n\n# Theme tokens\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\n# Imprint palette — canonical order, first series always #009E73\nIMPRINT = [\"#009E73\", \"#C475FD\", \"#4467A3\", \"#BD8233\"]\n\nsns.set_theme(\n    style=\"ticks\",\n    rc={\n        \"figure.facecolor\": PAGE_BG,\n        \"axes.facecolor\": PAGE_BG,\n        \"axes.edgecolor\": INK_SOFT,\n        \"axes.labelcolor\": INK,\n        \"text.color\": INK,\n        \"xtick.color\": INK_SOFT,\n        \"ytick.color\": INK_SOFT,\n        \"grid.color\": INK,\n        \"grid.alpha\": 0.15,\n        \"legend.facecolor\": ELEVATED_BG,\n        \"legend.edgecolor\": INK_SOFT,\n    },\n)\n\n# Data — employee satisfaction scores by department\nnp.random.seed(42)\n\ndepartments = [\"Engineering\", \"Marketing\", \"Sales\", \"HR\"]\nrecords = []\n\nfor dept in departments:\n    if dept == \"Engineering\":\n        scores = np.random.normal(78, 8, 35)\n    elif dept == \"Marketing\":\n        scores = np.random.normal(72, 12, 40)\n    elif dept == \"Sales\":\n        scores = np.concatenate([np.random.normal(65, 6, 25), np.random.normal(80, 5, 15)])\n    else:  # HR\n        scores = np.random.normal(68, 10, 30)\n\n    scores = np.clip(scores, 40, 100)\n    for s in scores:\n        records.append({\"Department\": dept, \"Satisfaction Score\": s})\n\ndf = pd.DataFrame(records)\n\n# Plot — see default-style-guide.md \"Visual Sizing Defaults\" for canvas + sizing values\nfig, ax = plt.subplots(figsize=(8, 4.5), dpi=400, facecolor=PAGE_BG)\nax.set_facecolor(PAGE_BG)\n\nsns.stripplot(\n    data=df,\n    x=\"Department\",\n    y=\"Satisfaction Score\",\n    hue=\"Department\",\n    palette=IMPRINT,\n    alpha=0.6,\n    size=6,\n    jitter=0.3,\n    edgecolor=PAGE_BG,\n    linewidth=0.4,\n    ax=ax,\n    legend=False,\n)\n\n# Group means as diamond markers — seaborn pointplot overlay, no connecting line/error bars\n# Background-colored edge stroke keeps the diamond from swallowing points behind it\nsns.pointplot(\n    data=df,\n    x=\"Department\",\n    y=\"Satisfaction Score\",\n    color=INK,\n    markers=\"D\",\n    markersize=8,\n    markeredgecolor=PAGE_BG,\n    markeredgewidth=1.5,\n    linestyle=\"none\",\n    errorbar=None,\n    ax=ax,\n)\n\n# Storytelling touch — faint overall-mean reference line + callout on the top department\ngroup_means = df.groupby(\"Department\")[\"Satisfaction Score\"].mean()\noverall_mean = df[\"Satisfaction Score\"].mean()\ntop_dept = group_means.idxmax()\ntop_x = departments.index(top_dept)\n\nax.axhline(overall_mean, color=INK_SOFT, linewidth=0.8, linestyle=\"--\", alpha=0.4, zorder=0)\nax.annotate(\n    f\"{top_dept} leads · {group_means[top_dept]:.0f} avg\",\n    xy=(top_x, group_means[top_dept]),\n    xytext=(top_x + 0.35, group_means[top_dept] + 12),\n    fontsize=8,\n    color=INK_SOFT,\n    ha=\"left\",\n    arrowprops={\"arrowstyle\": \"-\", \"color\": INK_SOFT, \"linewidth\": 0.8, \"alpha\": 0.6},\n)\n\n# Style\nax.set_xlabel(\"Department\", fontsize=10, color=INK)\nax.set_ylabel(\"Satisfaction Score\", fontsize=10, color=INK)\nax.set_title(\"strip-basic · python · seaborn · anyplot.ai\", fontsize=12, fontweight=\"medium\", color=INK)\nax.tick_params(axis=\"both\", labelsize=8, colors=INK_SOFT, length=0)\nax.set_ylim(35, 105)\nax.yaxis.grid(True, alpha=0.15, linewidth=0.8, color=INK)\nsns.despine(ax=ax)\nax.spines[\"left\"].set_color(INK_SOFT)\nax.spines[\"bottom\"].set_color(INK_SOFT)\n\n# Legend for mean reference marker\nax.plot([], [], marker=\"D\", linestyle=\"none\", color=INK, markersize=8, label=\"Group Mean\")\nax.legend(fontsize=8, loc=\"upper right\", framealpha=1)\n\n# Save — bbox_inches MUST stay default (None); \"tight\" trims the canvas off-target\nplt.tight_layout()\nplt.savefig(f\"plot-{THEME}.png\", dpi=400, facecolor=PAGE_BG)\n"}