Flip axes

1 files changed, 25 insertions, 25 deletions

diff --git a/stats.py.ipynb b/stats.py.ipynb
index 2b46f1a..e933a16 100644
--- a/stats.py.ipynb
+++ b/stats.py.ipynb
@@ -13,7 +13,7 @@
   {
    "cell_type": "code",
    "execution_count": 199,
-   "id": "persistent-recall",
+   "id": "inside-heart",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -72,7 +72,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "russian-indian",
+   "id": "frozen-benchmark",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -80,7 +80,7 @@
   {
    "cell_type": "code",
    "execution_count": 141,
-   "id": "accessory-least",
+   "id": "welsh-folder",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -90,8 +90,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 233,
-   "id": "future-posting",
+   "execution_count": 270,
+   "id": "transparent-ownership",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -102,33 +102,33 @@
     "    p2 = df2[p] / rate2\n",
     "    odf = pd.DataFrame({\n",
     "        \"votes\": rate3 / rate2,\n",
-    "        \"party\": p3 / p2,\n",
+    "        \"party\": df2[p] / df2[\"מצביעים\"],\n",
     "        \"name\": df3[p]\n",
     "    })\n",
-    "    g = odf[odf[\"party\"] < 1].plot.scatter(x=\"votes\", y=\"party\")\n",
-    "    g.set_ylim(0,1)\n",
+    "    g = odf[odf[\"party\"] < 1].plot.scatter(y=\"votes\", x=\"party\")\n",
+    "    g.set_xlim(0, 1.1)\n",
     "    return g"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 234,
-   "id": "sublime-packaging",
+   "execution_count": 271,
+   "id": "cosmetic-faith",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<AxesSubplot:xlabel='votes', ylabel='party'>"
+       "<AxesSubplot:xlabel='party', ylabel='votes'>"
       ]
      },
-     "execution_count": 234,
+     "execution_count": 271,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -145,23 +145,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 235,
-   "id": "discrete-eugene",
+   "execution_count": 272,
+   "id": "studied-cosmetic",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<AxesSubplot:xlabel='votes', ylabel='party'>"
+       "<AxesSubplot:xlabel='party', ylabel='votes'>"
       ]
      },
-     "execution_count": 235,
+     "execution_count": 272,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -178,23 +178,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 236,
-   "id": "embedded-malpractice",
+   "execution_count": 273,
+   "id": "contained-range",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<AxesSubplot:xlabel='votes', ylabel='party'>"
+       "<AxesSubplot:xlabel='party', ylabel='votes'>"
       ]
      },
-     "execution_count": 236,
+     "execution_count": 273,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -212,7 +212,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "moderate-scene",
+   "id": "complimentary-election",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -220,7 +220,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "tender-secretary",
+   "id": "posted-determination",
    "metadata": {},
    "outputs": [],
    "source": []