|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "code", |
| 5 | + "execution_count": null, |
| 6 | + "id": "533bc728-db2c-4f3a-ab3f-1f4f2c9ecd69", |
| 7 | + "metadata": {}, |
| 8 | + "outputs": [], |
| 9 | + "source": [ |
| 10 | + "import io\n", |
| 11 | + "\n", |
| 12 | + "import pandas as pd\n", |
| 13 | + "import pygmt\n", |
| 14 | + "import requests\n", |
| 15 | + "from pygmt.params import Box\n", |
| 16 | + "\n", |
| 17 | + "params = {\n", |
| 18 | + " \"format\": \"csv\",\n", |
| 19 | + " \"starttime\": \"2000-01-01\",\n", |
| 20 | + " \"endtime\": \"2025-10-30\",\n", |
| 21 | + " \"mindepth\": 70,\n", |
| 22 | + " \"minmagnitude\": 5,\n", |
| 23 | + "}\n", |
| 24 | + "r = requests.get(\"https://earthquake.usgs.gov/fdsnws/event/1/query\", params=params)\n", |
| 25 | + "df_eqs = pd.read_csv(io.StringIO(r.text))\n", |
| 26 | + "df_eqs = df_eqs[\n", |
| 27 | + " (df_eqs[\"longitude\"] >= 91)\n", |
| 28 | + " & (df_eqs[\"longitude\"] <= 134)\n", |
| 29 | + " & (df_eqs[\"latitude\"] >= -22)\n", |
| 30 | + " & (df_eqs[\"latitude\"] <= 18)\n", |
| 31 | + "].sort_values(by=\"mag\", ascending=False)\n", |
| 32 | + "\n", |
| 33 | + "fig = pygmt.Figure()\n", |
| 34 | + "fig.basemap(region=[91, 134, -22, 18], projection=\"M15c\", frame=True)\n", |
| 35 | + "fig.coast(land=\"gray95\", shorelines=\"gray50\")\n", |
| 36 | + "\n", |
| 37 | + "# Plot epicenters with color (hypocentral depth) or size (magnitude)\n", |
| 38 | + "pygmt.makecpt(cmap=\"SCM/navia\", series=[0, 700], reverse=True, transparency=30)\n", |
| 39 | + "fig.plot(\n", |
| 40 | + " x=df_eqs.longitude,\n", |
| 41 | + " y=df_eqs.latitude,\n", |
| 42 | + " style=\"c\",\n", |
| 43 | + " size=0.005 * 2**df_eqs.mag,\n", |
| 44 | + " fill=df_eqs.depth,\n", |
| 45 | + " cmap=True,\n", |
| 46 | + " pen=\"gray10\",\n", |
| 47 | + ")\n", |
| 48 | + "fig.colorbar(frame=[\"xaf+lHypocentral depth\", \"y+lkm\"])\n", |
| 49 | + "# Add legend for size-coding\n", |
| 50 | + "legend = io.StringIO(\n", |
| 51 | + " \"\\n\".join(f\"S 0.4 c {0.005 * 2**mag:.2f} - 1p 1 M {mag}\" for mag in [5, 6, 7])\n", |
| 52 | + ")\n", |
| 53 | + "fig.legend(spec=legend, position=\"jBR+o0.2c+l2\", box=Box(fill=\"white\", pen=\"black\"))\n", |
| 54 | + "\n", |
| 55 | + "# Add histogram for magnitude distribution\n", |
| 56 | + "with fig.inset(position=\"jBL+w7c/4c+o0.2c\", margin=(1.3, 0.2, 1.1, 0.2), box=True):\n", |
| 57 | + " fig.histogram(\n", |
| 58 | + " region=[4.8, 9.2, 0, 0],\n", |
| 59 | + " projection=\"X?/?\",\n", |
| 60 | + " frame=[\"WSrt\", \"xa1f0.2+lMagnitude\", \"yaf+lCounts\"],\n", |
| 61 | + " data=df_eqs.mag,\n", |
| 62 | + " series=0.2,\n", |
| 63 | + " fill=\"darkgray\",\n", |
| 64 | + " pen=\"lightgray\",\n", |
| 65 | + " histtype=0,\n", |
| 66 | + " )\n", |
| 67 | + "\n", |
| 68 | + "fig.show()\n", |
| 69 | + "# fig.savefig(\"Fig4_PyGMT_pandas.png\")" |
| 70 | + ] |
| 71 | + } |
| 72 | + ], |
| 73 | + "metadata": { |
| 74 | + "kernelspec": { |
| 75 | + "display_name": "Python 3 (ipykernel)", |
| 76 | + "language": "python", |
| 77 | + "name": "python3" |
| 78 | + }, |
| 79 | + "language_info": { |
| 80 | + "codemirror_mode": { |
| 81 | + "name": "ipython", |
| 82 | + "version": 3 |
| 83 | + }, |
| 84 | + "file_extension": ".py", |
| 85 | + "mimetype": "text/x-python", |
| 86 | + "name": "python", |
| 87 | + "nbconvert_exporter": "python", |
| 88 | + "pygments_lexer": "ipython3", |
| 89 | + "version": "3.12.3" |
| 90 | + } |
| 91 | + }, |
| 92 | + "nbformat": 4, |
| 93 | + "nbformat_minor": 5 |
| 94 | +} |
0 commit comments