{"spec_id":"line-markers","library":"seaborn","language":"python","code":"\"\"\" anyplot.ai\nline-markers: Line Plot with Markers\nLibrary: seaborn 0.13.2 | Python 3.13.13\nQuality: 95/100 | Updated: 2026-05-12\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# Okabe-Ito palette - first series always #009E73\nIMPRINT = [\"#009E73\", \"#C475FD\", \"#4467A3\"]\n\n# Data - Stock price tracking with different patterns\nnp.random.seed(42)\ndays = np.arange(0, 60)\n\n# Three stocks with distinct patterns:\n# Stock A - steady upward trend (growth stock)\nstock_a = 100 + 0.5 * days + np.random.normal(0, 1, 60)\n\n# Stock B - high volatility (volatile stock)\nstock_b = 95 + np.cumsum(np.random.normal(0, 2, 60))\n\n# Stock C - relatively stable (dividend stock)\nstock_c = 110 + 0.1 * days + np.random.normal(0, 0.8, 60)\n\ndf = pd.DataFrame(\n    {\n        \"Day\": np.tile(days, 3),\n        \"Price ($)\": np.concatenate([stock_a, stock_b, stock_c]),\n        \"Stock\": [\"Stock A\"] * 60 + [\"Stock B\"] * 60 + [\"Stock C\"] * 60,\n    }\n)\n\n# Set theme-adaptive styling\nsns.set_theme(\n    style=\"ticks\",\n    rc={\n        \"figure.facecolor\": PAGE_BG,\n        \"axes.facecolor\": PAGE_BG,\n        \"axes.edgecolor\": INK_SOFT,\n        \"axes.labelcolor\": INK,\n        \"text.color\": INK,\n        \"xtick.color\": INK_SOFT,\n        \"ytick.color\": INK_SOFT,\n        \"grid.color\": INK,\n        \"grid.alpha\": 0.10,\n        \"legend.facecolor\": ELEVATED_BG,\n        \"legend.edgecolor\": INK_SOFT,\n    },\n)\n\n# Plot\nfig, ax = plt.subplots(figsize=(16, 9), facecolor=PAGE_BG)\n\nsns.lineplot(\n    data=df,\n    x=\"Day\",\n    y=\"Price ($)\",\n    hue=\"Stock\",\n    style=\"Stock\",\n    markers=True,\n    dashes=False,\n    markersize=10,\n    linewidth=2.5,\n    palette=IMPRINT,\n    ax=ax,\n)\n\n# Styling\nax.set_title(\"line-markers · seaborn · anyplot.ai\", fontsize=24, fontweight=\"medium\")\nax.set_xlabel(\"Day\", fontsize=20, color=INK)\nax.set_ylabel(\"Price ($)\", fontsize=20, color=INK)\nax.tick_params(axis=\"both\", labelsize=16, colors=INK_SOFT)\n\n# Remove top and right spines\nax.spines[\"top\"].set_visible(False)\nax.spines[\"right\"].set_visible(False)\nax.spines[\"left\"].set_color(INK_SOFT)\nax.spines[\"bottom\"].set_color(INK_SOFT)\n\n# Subtle grid on y-axis\nax.yaxis.grid(True, alpha=0.10, linewidth=0.8, color=INK)\n\n# Legend with lower framealpha for visual appeal\nax.legend(fontsize=16, framealpha=0.5, loc=\"upper left\", frameon=True)\n\nplt.tight_layout()\nplt.savefig(f\"plot-{THEME}.png\", dpi=300, bbox_inches=\"tight\", facecolor=PAGE_BG)\n"}