From 826a100f2441dc42b8f5757c4989cb62f1549193 Mon Sep 17 00:00:00 2001 From: 1kamma Date: Mon, 26 Jun 2023 23:12:28 +0300 Subject: [PATCH] update --- 2023-05-15_21-45-30.log | 0 __pycache__/scrapping.cpython-39.pyc | Bin 7526 -> 7539 bytes datat.ipynb | 109 +++++++++++++++++++++++++++ project_notebook.ipynb | 14 +--- 4 files changed, 111 insertions(+), 12 deletions(-) create mode 100644 2023-05-15_21-45-30.log create mode 100644 datat.ipynb diff --git a/2023-05-15_21-45-30.log b/2023-05-15_21-45-30.log new file mode 100644 index 0000000..e69de29 diff --git a/__pycache__/scrapping.cpython-39.pyc b/__pycache__/scrapping.cpython-39.pyc index 140d38a4ed43c43aa05e78127a6348269528afe9..7bb34e9c9b997fa68ae6ce469e26ee418be9e96b 100644 GIT binary patch delta 1834 zcmZWp-A^1<6zA^Fe!{@61q!mX5QOd^P=pGUuC%tOZPi$%HR(7qo!yyT$Ii}d&dkyl zT8XJ`^g)fe|AEnmJ~b8}tj73Y-~128XzT+%RukWhF`jcr;)0Xh-<*5C?>*<9Ul;#a z>@;LK+lJp5ESO)7e$ja`CabaOr*X~Unpd}i*w5@}7iy@Pw|&pmtF~j^X@dde{5g4Q zQM=$<;A<-eSb=s9yc!twy6x7qQzP2)X^p=l&B%kOtHi>16CB9#Z>8T496(MO2g?s7 z-)lBPW(kK86!;H`h5S@xltQJZ6ZmMD@9*ZtSRvYK~V1I%$|Wf30CX2jBq|$xab++pT&~qCK4~Od5@b<(hB^H%b@naBI$zQMS@9!*7%=gb+*E#_Alr1BzlZs9|0Mvao;f3Gg|SDRprfbO@XIK zLXMOS^bp<8AGK?_*NANOs&>pWjepefVe)wro#w;x%#<)bNX97`A@&mpYCB$f(De0+ zXIh{VTOt_c@5+xWXNdgo2v5>>f;m5iKy~RU57`;h@_gL5#@xqc>l-$N zP1eWn=7uLOkO>PDYlhR@)tuxbU2=?i*)*1};SK}+l^fqQh`dD7xKACu5waUFjeD%F zNFr*Js*OcoAl(^)S%Oy(LdiAimgwOq-DH%mgg4=b3E!@{KA5PerUR?q(2A zBukD81grdRUXfRk#3PHo%581ue`EO*Bz+d)Je(wQnQ!l#Exv#xDvG*^K1l&(3NH~* zKZ_Oxm7nMyI!T!->B#FjlD$fhA)t;5+kJd=zHZtTe6gZ)|5x@;yI*GO;w?)(qgeX! zo@KViy`Eu(Dz9e9gK*GVA__o-eLzH&-|v}Q5;bKYD$vqaq;M7Cdt81Dp^b?>&Yx(0 zQErgin(Xb2ZHoS0Lmiq$)sR)O3Lex$37=|xr+DHvHb^OHUB#hd!gbuhMdGA&+t)=G z(#wbnDeE;W&<)eH1KV?>VkY1Q%GHhrSZlV2ZwJGv8UA(O{@kA2uk(j}BQiz6qTC{< zH29V#$p0M{arT%{Za?ALIqn7;%*?`VWQELu_wf%O5bUwLiM)rncI<9${nGylW1AcX z#$<6dWU9pB7XN%;sI2BybD82w|#W1aCQZ8Ir_$oj`P7k)J7;o8pOxMx?7TU1yUgLR!*%S!npH9HH1R&- zJjmtOovN94b#8k3mn_fCFPzScTgrHv66I+M&@gKUQ*V&$PXL z9(!YY&v68e2L2j_#O5>NcI>&_EHo%$t)iDqmGKFP5OOcEhp{1cQVhmtS$1bNevh3Q zg@sbCI7NpL2c&q5WFC)X0`7u zNEC;^3U~(482@f_fn5-p?wdfg?4+J3;q| zhsou(^B^0&mRly+s`#Yk!{`}^UJ;|I@lk0!0OJ@x3ic3zmZYM4b+=G*43n>btpHT< zQL0N_1o`h3@;HtGa3DTk98WkOnL(K5u(siY&0KH_r~y;?N%6Pt9RK#9!owh7XJH0)xUulj6@PtuvXE0YMuWX+zo0;H!1miUVxPmBA9CWc-P6lLG!oWwXX<>vsHXE~yLMJ#4>^Tg1tDM~bwEffUBHN-e_lU0cZfgB>`vTh(*V_A4bY4rq zgLKf?A_PEVzXq`(cH5^;$euEO4V;Ft!tpA>SM<3df+i-+P5a$jHBnM29o!>h@X6#+D z{n(S1tP)Jsu#Bs 2\u001b[0m df_akk[\u001b[39m\"\u001b[39;49m\u001b[39mGenre\u001b[39;49m\u001b[39m\"\u001b[39;49m] \u001b[39m=\u001b[39m pd\u001b[39m.\u001b[39mconcat([df_genre, df_akk], axis\u001b[39m=\u001b[39m\u001b[39m1\u001b[39m, join\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39minner\u001b[39m\u001b[39m'\u001b[39m, keys\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mProject\u001b[39m\u001b[39m'\u001b[39m)\n", + "File \u001b[1;32mc:\\Users\\Saret\\Programming\\C#\\DH\\venv\\lib\\site-packages\\pandas\\core\\frame.py:3949\u001b[0m, in \u001b[0;36mDataFrame.__setitem__\u001b[1;34m(self, key, value)\u001b[0m\n\u001b[0;32m 3947\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_setitem_array(key, value)\n\u001b[0;32m 3948\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(value, DataFrame):\n\u001b[1;32m-> 3949\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_set_item_frame_value(key, value)\n\u001b[0;32m 3950\u001b[0m \u001b[39melif\u001b[39;00m (\n\u001b[0;32m 3951\u001b[0m is_list_like(value)\n\u001b[0;32m 3952\u001b[0m \u001b[39mand\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcolumns\u001b[39m.\u001b[39mis_unique\n\u001b[0;32m 3953\u001b[0m \u001b[39mand\u001b[39;00m \u001b[39m1\u001b[39m \u001b[39m<\u001b[39m \u001b[39mlen\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcolumns\u001b[39m.\u001b[39mget_indexer_for([key])) \u001b[39m==\u001b[39m \u001b[39mlen\u001b[39m(value)\n\u001b[0;32m 3954\u001b[0m ):\n\u001b[0;32m 3955\u001b[0m \u001b[39m# Column to set is duplicated\u001b[39;00m\n\u001b[0;32m 3956\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_setitem_array([key], value)\n", + "File \u001b[1;32mc:\\Users\\Saret\\Programming\\C#\\DH\\venv\\lib\\site-packages\\pandas\\core\\frame.py:4103\u001b[0m, in \u001b[0;36mDataFrame._set_item_frame_value\u001b[1;34m(self, key, value)\u001b[0m\n\u001b[0;32m 4100\u001b[0m \u001b[39mreturn\u001b[39;00m\n\u001b[0;32m 4102\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(value\u001b[39m.\u001b[39mcolumns) \u001b[39m!=\u001b[39m \u001b[39m1\u001b[39m:\n\u001b[1;32m-> 4103\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[0;32m 4104\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mCannot set a DataFrame with multiple columns to the single \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 4105\u001b[0m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mcolumn \u001b[39m\u001b[39m{\u001b[39;00mkey\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m\n\u001b[0;32m 4106\u001b[0m )\n\u001b[0;32m 4108\u001b[0m \u001b[39mself\u001b[39m[key] \u001b[39m=\u001b[39m value[value\u001b[39m.\u001b[39mcolumns[\u001b[39m0\u001b[39m]]\n", + "\u001b[1;31mValueError\u001b[0m: Cannot set a DataFrame with multiple columns to the single column Genre" + ] + } + ], + "source": [ + "df_genre = pd.read_csv('genre.csv')\n", + "df_akk[\"Genre\"] = pd.concat([df_genre, df_akk], axis=1, join='inner', keys='Project')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.13" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/project_notebook.ipynb b/project_notebook.ipynb index 05b2dd2..8facda4 100644 --- a/project_notebook.ipynb +++ b/project_notebook.ipynb @@ -1,15 +1,5 @@ { "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "```\n", - "installations\n", - "\n", - "```" - ] - }, { "cell_type": "code", "execution_count": 2, @@ -763,7 +753,7 @@ "metadata": {}, "outputs": [], "source": [ - "def " + "#def " ] }, { @@ -86883,7 +86873,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.2" + "version": "3.9.13" } }, "nbformat": 4,