Merge pull request #124 from so-wise/dcj_i123

Paper revisions R2
so-wise · Apr 27, 2023 · 03c1f71 · 03c1f71
2 parents 8b6a56c + af4b5bd
commit 03c1f71
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diff --git a/src/1_profile_distribution.ipynb b/src/1_profile_distribution.ipynb
diff --git a/src/2b-justPlot_antarctic-K4.ipynb b/src/2b-justPlot_antarctic-K4.ipynb
diff --git a/src/3b_analyse_classes-K4.ipynb b/src/3b_analyse_classes-K4.ipynb
diff --git a/src/4_seasonal_analysis.ipynb b/src/4_seasonal_analysis.ipynb
diff --git a/src/7_calc_fH.ipynb b/src/7_calc_fH.ipynb
diff --git a/src/8_examine_tSNE.ipynb b/src/8_examine_tSNE.ipynb
diff --git a/src/plot_tools.py b/src/plot_tools.py
diff --git a/src/z_cbar.ipynb b/src/z_cbar.ipynb
@@ -0,0 +1,85 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "9db246d2-bd4b-4bc8-8051-5336216a46fc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.colors as colors\n",
+    "import matplotlib.cm as cmx\n",
+    "import matplotlib as mpl"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "4729cc08-9239-4cfa-83d2-af07d951399d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 21.6x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ploc = 'plots/plots_WeddellClassOnly_top1000m_K04_forPaperRevisions_deleteThis/'\n",
+    "\n",
+    "bounds = [0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50]\n",
+    "cmap = plt.get_cmap('cividis')\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(0.3,6.0)) \n",
+    "fig.subplots_adjust(bottom=0.5)  \n",
+    "fig.colorbar(mpl.cm.ScalarMappable(norm=mpl.colors.BoundaryNorm(bounds, cmap.N, extend='max'), \n",
+    "                                   cmap=cmap),              \n",
+    "                                   cax=ax, \n",
+    "                                   orientation='vertical',   \n",
+    "                                   label=\"Count\")\n",
+    "\n",
+    "# \n",
+    "plt.savefig(ploc + 'NEWhistogram_latlon_map_colorbar' + 'imetric' + '.png', bbox_inches='tight')\n",
+    "plt.savefig(ploc + 'NEWhistogram_latlon_map_colorbar' + 'imetric' + '.pdf', bbox_inches='tight')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cbdf316d-ae06-45f2-9e69-f07d7f5d7e81",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}