From a956c9e8f887a737e7479c71f93827f8d8cafadf Mon Sep 17 00:00:00 2001 From: Yuval Adam <_@yuv.al> Date: Fri, 26 Mar 2021 15:25:29 +0300 Subject: Remove width kwarg --- stats.py.ipynb | 59 ++++++++++++++++++++++++++++++++-------------------------- 1 file changed, 33 insertions(+), 26 deletions(-) diff --git a/stats.py.ipynb b/stats.py.ipynb index e6e5d7a..562191b 100644 --- a/stats.py.ipynb +++ b/stats.py.ipynb @@ -61,7 +61,7 @@ { "cell_type": "code", "execution_count": 296, - "id": "thirty-louis", + "id": "soviet-finish", "metadata": {}, "outputs": [], "source": [ @@ -71,8 +71,8 @@ }, { "cell_type": "code", - "execution_count": 392, - "id": "billion-fellow", + "execution_count": 395, + "id": "smart-joseph", "metadata": {}, "outputs": [], "source": [ @@ -88,13 +88,13 @@ " })\n", " odf = odf[odf[\"party\"] > 0.05]\n", " \n", - " return sns.regplot(x=\"party\", y=\"votes\", data=odf, width=10)" + " return sns.regplot(x=\"party\", y=\"votes\", data=odf)" ] }, { "cell_type": "code", - "execution_count": 393, - "id": "surface-enhancement", + "execution_count": 396, + "id": "simple-volunteer", "metadata": {}, "outputs": [ { @@ -285,7 +285,7 @@ "[101 rows x 7 columns]" ] }, - "execution_count": 393, + "execution_count": 396, "metadata": {}, "output_type": "execute_result" } @@ -301,22 +301,29 @@ }, { "cell_type": "code", - "execution_count": 394, - "id": "disturbed-payment", + "execution_count": 397, + "id": "marine-poverty", "metadata": {}, "outputs": [ { - "ename": "TypeError", - "evalue": "regplot() got an unexpected keyword argument 'width'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mscatter_party\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"מחל\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m\u001b[0m in \u001b[0;36mscatter_party\u001b[0;34m(p)\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0modf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0modf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0modf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"party\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0.05\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0msns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mregplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"party\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"votes\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0modf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m~/.local/share/virtualenvs/election-stats-or_-nqt5/lib/python3.9/site-packages/seaborn/_decorators.py\u001b[0m in \u001b[0;36minner_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 44\u001b[0m )\n\u001b[1;32m 45\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0marg\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0marg\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparameters\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 46\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 47\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0minner_f\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 48\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mTypeError\u001b[0m: regplot() got an unexpected keyword argument 'width'" - ] + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 397, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -326,7 +333,7 @@ { "cell_type": "code", "execution_count": 386, - "id": "running-emperor", + "id": "understood-petersburg", "metadata": {}, "outputs": [ { @@ -357,7 +364,7 @@ { "cell_type": "code", "execution_count": 387, - "id": "round-stuff", + "id": "willing-manor", "metadata": {}, "outputs": [ { @@ -388,7 +395,7 @@ { "cell_type": "code", "execution_count": 388, - "id": "residential-benchmark", + "id": "continent-budget", "metadata": {}, "outputs": [ { @@ -419,7 +426,7 @@ { "cell_type": "code", "execution_count": 389, - "id": "southeast-interval", + "id": "running-houston", "metadata": {}, "outputs": [ { @@ -450,7 +457,7 @@ { "cell_type": "code", "execution_count": 390, - "id": "surrounded-cooling", + "id": "golden-married", "metadata": {}, "outputs": [ { @@ -481,7 +488,7 @@ { "cell_type": "code", "execution_count": 391, - "id": "exempt-commissioner", + "id": "authentic-armor", "metadata": {}, "outputs": [ { -- cgit v1.3.1