Print logs

coal-price-forecast.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -155,7 +155,7 @@
        "[145 rows x 5 columns]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -167,7 +167,44 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x = df.newcastle\n",
+    "y = df.ICI_1\n",
+    "\n",
+    "slope, intercept, r, p, std_err = stats.linregress(x, y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "slope: 0.600533935403765\n",
+      "intercept: 33.65381401159914\n",
+      "r: 0.9606500704209069\n",
+      "p: 1.9310655623962052e-81\n",
+      "std_err: 0.01452032511898455\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"slope: {slope}\")\n",
+    "print(f\"intercept: {intercept}\")\n",
+    "print(f\"r: {r}\")\n",
+    "print(f\"p: {p}\")\n",
+    "print(f\"std_err: {std_err}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -182,11 +219,6 @@
     }
    ],
    "source": [
-    "x = df.newcastle\n",
-    "y = df.ICI_1\n",
-    "\n",
-    "slope, intercept, r, p, std_err = stats.linregress(x, y)\n",
-    "\n",
     "def myfunc(x):\n",
     "    return slope * x + intercept\n",
     "\n",