Removed unused code

filipinascimento · Aug 26, 2021 · 7720f43 · 7720f43
1 parent c81d15c
commit 7720f43
Showing 1 changed file with 0 additions and 69 deletions.
diff --git a/Notebooks/CalculateMetrics.ipynb b/Notebooks/CalculateMetrics.ipynb
@@ -599,75 +599,6 @@
     "    saveMetricData(\"LaggedCorrelation\",smoothWindowSize,lagDays,np.array(laggedPValuesXY),np.abs(laggedPValuesXY),gridRegions=gridRegions);\n",
     "    "
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Plotting correlation and best lag distributions for the general model\n",
-    "plt.close(\"all\")\n",
-    "fig, (ax1,ax2) = plt.subplots(1, 2,figsize=(10,4))\n",
-    "bins = np.linspace(0.0,0.3,100);\n",
-    "ax1.hist(np.abs(distribsGeneral),bins=bins,color=\"#999999\",alpha=0.5,density=True,label=\"Null model\");\n",
-    "ax1.set_xlim(0,0.4)\n",
-    "ax1.hist(np.abs(correlationValues),bins=bins,alpha=0.5,density=True,label=\"Data\");\n",
-    "ax1.set_xlabel(\"Lagged correlation\")\n",
-    "ax1.set_ylabel(\"Density\")\n",
-    "ax1.set_title(\"Lagged correlation distribution\")\n",
-    "ax1.legend()\n",
-    "\n",
-    "ax2.hist(lagsSurrogate,bins=np.arange(0,order+1),color=\"#999999\",alpha=0.5,density=True,label=\"Null model\");\n",
-    "ax2.hist(lags,bins=np.arange(0,order+1),alpha=0.5,density=True,label=\"Data\");\n",
-    "ax2.set_xlabel(\"Best lag\")\n",
-    "ax2.set_ylabel(\"Density\")\n",
-    "ax2.set_title(\"Best lag distribution\")\n",
-    "ax2.legend()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Plotting Lagged correlation and best lags distributions\n",
-    "fig, (ax1,ax2) = plt.subplots(1, 2,figsize=(10,4))\n",
-    "bins = np.linspace(0.0,0.3,100);\n",
-    "ax1.hist(np.abs(distribs.flatten()),bins=bins,color=\"#999999\",alpha=0.1,density=True,label=\"Null model\");\n",
-    "\n",
-    "distribAverages = np.average(np.abs(distribs),axis=0);\n",
-    "distribStds = np.std(np.abs(distribs),axis=0);\n",
-    "top = np.argmax(distribAverages)\n",
-    "bottom = np.argmin(distribAverages);\n",
-    "ax1.axvline(np.abs(correlationValues)[top],color=\"#bb0000\")\n",
-    "ax1.hist(np.abs(distribs[:,top]),bins=bins,color=\"#bb0000\",alpha=0.3,density=True,label=\"Highest Avg. P\");\n",
-    "ax1.axvline(np.abs(correlationValues)[bottom],color =\"#00bb00\" )\n",
-    "ax1.hist(np.abs(distribs[:,bottom]),bins=bins,color=\"#00bb00\",alpha=0.3,density=True,label=\"Lowest Avg. P\");\n",
-    "ax1.set_xlim(0,0.4)\n",
-    "ax1.hist(np.abs(correlationValues),bins=bins,alpha=0.5,density=True,label=\"Data\");\n",
-    "ax1.set_xlabel(\"Lagged Correlation\")\n",
-    "ax1.set_ylabel(\"Density\")\n",
-    "ax1.set_title(\"Lagged correlation distribution\")\n",
-    "ax1.legend()\n",
-    "\n",
-    "ax2.hist(lagsSurrogate,bins=np.arange(0,order+1),color=\"#999999\",density=True);\n",
-    "ax2.hist(lags,bins=np.arange(0,order+1),alpha=0.5,density=True);\n",
-    "ax2.set_xlabel(\"Best lag\")\n",
-    "ax2.set_ylabel(\"Density\")\n",
-    "ax2.set_title(\"Best lag distribution\")\n",
-    "# plt.savefig(\"Figures/CorrelationWithLag.pdf\")\n",
-    "plt.show()\n",
-    "\n",
-    "# fig, (ax1) = plt.subplots(1, 1)\n",
-    "# ax1.scatter(lags,correlationValues,alpha=0.02);\n",
-    "# ax1.set_xlabel(\"Corr.\")\n",
-    "# ax1.set_ylabel(\"Lag\")\n",
-    "# plt.show()\n",
-    "# plt.savefig(\"Figures/CorrelationVsWithLag.pdf\")"
-   ]
   }
  ],
  "metadata": {