diff --git a/plotter.ipynb b/plotter.ipynb
index 6961726..ce6aa37 100644
--- a/plotter.ipynb
+++ b/plotter.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 178,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -78,7 +78,7 @@
     "        ax.bar([k + ss for k in ticks], vals, yerr=ci,\n",
     "               label=\"Fully-Adaptive {}\".format(name), width=WIDTH)\n",
     "    ax.set_xlabel(\"Feature ID\")\n",
-    "    ax.set_ylabel(\"Throughput (Mpps)\")\n",
+    "    ax.set_ylabel(\"Throughput (Mpacket/s)\")\n",
     "    \n",
     "    ax.set_xticks(ticks)\n",
     "    ax.set_xlim(right=max(ticks)+1, left=min(ticks)-1)\n",
@@ -183,14 +183,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 177,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_350242/3096392441.py:49: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
+      "/tmp/ipykernel_19750/113779367.py:49: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
       "  ax.set_xticklabels(\n"
      ]
     },
@@ -206,7 +206,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x400 with 1 Axes>"
       ]
@@ -270,31 +270,31 @@
     "    ax.set_ylim(top=32)\n",
     "    ax.grid(axis=\"y\")\n",
     "    ax.set_xlabel('N° Features')\n",
-    "    ax.set_ylabel('Throughput (Mpps)')\n",
+    "    ax.set_ylabel('Throughput (Mpacket/s)')\n",
     "    ax.legend(loc=\"center\", bbox_to_anchor=(0.5, 1.1), ncols=3, labelspacing=0., columnspacing=.4)\n",
-    "    fig0.savefig(\"chartadaptivenesthroughput.pdf\", bbox_inches=\"tight\")\n",
+    "    fig.savefig(\"chartadaptivenesthroughput.pdf\", bbox_inches=\"tight\")\n",
     "\n",
     "plot_adaptiveness_comp()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 187,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_350242/2270049918.py:19: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
+      "/tmp/ipykernel_19750/1657046520.py:19: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
       "  ax.set_xticklabels(list(compilation[tt].keys()))\n",
-      "/tmp/ipykernel_350242/2270049918.py:36: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
+      "/tmp/ipykernel_19750/1657046520.py:36: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
       "  ax1.set_xticklabels(list(throughput[tt].keys()))\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x400 with 1 Axes>"
       ]
@@ -304,7 +304,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x400 with 1 Axes>"
       ]
@@ -334,7 +334,7 @@
     "               for k in ticks], y, yerr=y_ci, width=0.3, label=name)\n",
     "        ax.set_xticklabels(list(compilation[tt].keys()))\n",
     "    ax.set_xticks(ticks)\n",
-    "    ax.set_ylim(top=1.14)\n",
+    "    ax.set_ylim(top=1.14, bottom=0.4)\n",
     "    ax.grid(axis=\"y\")\n",
     "    ax.set_xlabel('N° maps')\n",
     "    ax.set_ylabel('Time (s)')\n",
@@ -354,7 +354,7 @@
     "    ax1.set_ylim(bottom=30, top=33.6)\n",
     "    ax1.grid(axis=\"y\")\n",
     "    ax1.set_xlabel('Swap Frequency (s)')\n",
-    "    ax1.set_ylabel('Throughput (Mpps)')\n",
+    "    ax1.set_ylabel('Throughput (Mpacket/s)')\n",
     "    ax1.legend(loc=\"center\", bbox_to_anchor=(0.5, 1.1), ncols=3, labelspacing=0., columnspacing=.4)\n",
     "    fig1.savefig(\"chartswapthroughput.pdf\", bbox_inches=\"tight\")\n",
     "\n",
diff --git a/requirements.txt b/requirements.txt
index 1db4632..4b43f7e 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,2 +1 @@
-matplotlib
-dechainy
\ No newline at end of file
+matplotlib
\ No newline at end of file