From 5d7c672070e90de76e5b91bb8dc8053076f1332e Mon Sep 17 00:00:00 2001 From: Tomasz Grzybowski Date: Mon, 23 May 2022 15:41:22 +0200 Subject: [PATCH] fix --- solution.ipynb | 455 +++++++++++++++++++++++++------------------------ 1 file changed, 229 insertions(+), 226 deletions(-) diff --git a/solution.ipynb b/solution.ipynb index 167cea3..d06cdb9 100644 --- a/solution.ipynb +++ b/solution.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 60, + "execution_count": 101, "id": "ddcaf12b", "metadata": {}, "outputs": [], @@ -26,7 +26,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 102, "id": "70e3b6e3", "metadata": {}, "outputs": [ @@ -36,7 +36,7 @@ "9360" ] }, - "execution_count": 61, + "execution_count": 102, "metadata": {}, "output_type": "execute_result" } @@ -52,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 103, "id": "44f404d6", "metadata": {}, "outputs": [ @@ -62,7 +62,7 @@ "720" ] }, - "execution_count": 62, + "execution_count": 103, "metadata": {}, "output_type": "execute_result" } @@ -74,7 +74,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 104, "id": "c760402a", "metadata": {}, "outputs": [ @@ -84,7 +84,7 @@ "10080" ] }, - "execution_count": 63, + "execution_count": 104, "metadata": {}, "output_type": "execute_result" } @@ -96,7 +96,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 105, "id": "06f39e15", "metadata": {}, "outputs": [], @@ -106,7 +106,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 106, "id": "91c047f6", "metadata": {}, "outputs": [ @@ -493,7 +493,7 @@ "[10080 rows x 73 columns]" ] }, - "execution_count": 65, + "execution_count": 106, "metadata": {}, "output_type": "execute_result" } @@ -505,7 +505,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 107, "id": "037f1315", "metadata": {}, "outputs": [], @@ -515,7 +515,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 108, "id": "e03bae07", "metadata": {}, "outputs": [ @@ -902,7 +902,7 @@ "[9360 rows x 73 columns]" ] }, - "execution_count": 67, + "execution_count": 108, "metadata": {}, "output_type": "execute_result" } @@ -913,7 +913,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 109, "id": "ede98181", "metadata": {}, "outputs": [], @@ -926,7 +926,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 110, "id": "9a950571", "metadata": {}, "outputs": [], @@ -947,7 +947,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 111, "id": "f68e43f9", "metadata": {}, "outputs": [], @@ -959,7 +959,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 112, "id": "c1036c04", "metadata": {}, "outputs": [], @@ -969,7 +969,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 113, "id": "cec44474", "metadata": {}, "outputs": [ @@ -979,15 +979,15 @@ "text": [ "(None, 73) \n", "(None, 1) \n", - "dense_26 (None, 73) float32\n", - "dense_27 (None, 2048) float32\n", - "dense_28 (None, 1024) float32\n", - "dense_29 (None, 512) float32\n", - "dense_30 (None, 256) float32\n", - "dense_31 (None, 128) float32\n", - "dense_32 (None, 64) float32\n", - "dense_33 (None, 32) float32\n", - "dense_34 (None, 16) float32\n" + "dense_44 (None, 73) float32\n", + "dense_45 (None, 2048) float32\n", + "dense_46 (None, 1024) float32\n", + "dense_47 (None, 512) float32\n", + "dense_48 (None, 256) float32\n", + "dense_49 (None, 128) float32\n", + "dense_50 (None, 64) float32\n", + "dense_51 (None, 32) float32\n", + "dense_52 (None, 16) float32\n" ] }, { @@ -996,7 +996,7 @@ "[None, None, None, None, None, None, None, None, None]" ] }, - "execution_count": 72, + "execution_count": 113, "metadata": {}, "output_type": "execute_result" } @@ -1009,7 +1009,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 114, "id": "eb9cb318", "metadata": { "scrolled": true @@ -1020,174 +1020,174 @@ "output_type": "stream", "text": [ "Epoch 1/80\n", - "293/293 [==============================] - 6s 17ms/step - loss: 1134.1598 - mean_squared_error: 1134.1598\n", + "293/293 [==============================] - 5s 17ms/step - loss: 1108.6758 - mean_squared_error: 1108.6758\n", "Epoch 2/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 714.3663 - mean_squared_error: 714.3663\n", + "293/293 [==============================] - 5s 17ms/step - loss: 671.0632 - mean_squared_error: 671.0632\n", "Epoch 3/80\n", - "293/293 [==============================] - 5s 17ms/step - loss: 530.2103 - mean_squared_error: 530.2103\n", + "293/293 [==============================] - 5s 17ms/step - loss: 536.2025 - mean_squared_error: 536.2025\n", "Epoch 4/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 466.3124 - mean_squared_error: 466.3124\n", + "293/293 [==============================] - 5s 16ms/step - loss: 457.3617 - mean_squared_error: 457.3617\n", "Epoch 5/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 408.9340 - mean_squared_error: 408.9340\n", + "293/293 [==============================] - 5s 16ms/step - loss: 406.1862 - mean_squared_error: 406.1862\n", "Epoch 6/80\n", - "293/293 [==============================] - 5s 17ms/step - loss: 376.8569 - mean_squared_error: 376.8569\n", + "293/293 [==============================] - 5s 17ms/step - loss: 369.4316 - mean_squared_error: 369.4316\n", "Epoch 7/80\n", - "293/293 [==============================] - 5s 17ms/step - loss: 306.2373 - mean_squared_error: 306.2373\n", + "293/293 [==============================] - 5s 17ms/step - loss: 312.5139 - mean_squared_error: 312.5139\n", "Epoch 8/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 265.6877 - mean_squared_error: 265.6877\n", + "293/293 [==============================] - 5s 17ms/step - loss: 270.2833 - mean_squared_error: 270.2833\n", "Epoch 9/80\n", - "293/293 [==============================] - 5s 17ms/step - loss: 232.4935 - mean_squared_error: 232.4935\n", + "293/293 [==============================] - 5s 17ms/step - loss: 223.4037 - mean_squared_error: 223.4037\n", "Epoch 10/80\n", - 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loss: 74.9345 - mean_squared_error: 74.9345\n", + "293/293 [==============================] - 5s 17ms/step - loss: 88.6090 - mean_squared_error: 88.6090\n", "Epoch 15/80\n", - "293/293 [==============================] - 5s 17ms/step - loss: 60.5697 - mean_squared_error: 60.5697\n", + "293/293 [==============================] - 5s 17ms/step - loss: 69.3139 - mean_squared_error: 69.3139\n", "Epoch 16/80\n", - "293/293 [==============================] - 5s 18ms/step - loss: 60.6215 - mean_squared_error: 60.6215\n", + "293/293 [==============================] - 5s 16ms/step - loss: 67.1195 - mean_squared_error: 67.1195\n", "Epoch 17/80\n", - "293/293 [==============================] - 5s 18ms/step - loss: 53.4988 - mean_squared_error: 53.4988\n", + "293/293 [==============================] - 5s 16ms/step - loss: 59.6054 - mean_squared_error: 59.6054\n", "Epoch 18/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 46.9713 - mean_squared_error: 46.9713\n", + "293/293 [==============================] - 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mean_squared_error: 23.5774\n", + "293/293 [==============================] - 5s 16ms/step - loss: 16.0172 - mean_squared_error: 16.0172\n", "Epoch 54/80\n", - "293/293 [==============================] - 5s 17ms/step - loss: 20.9708 - mean_squared_error: 20.9708\n", + "293/293 [==============================] - 5s 16ms/step - loss: 16.2924 - mean_squared_error: 16.2924\n", "Epoch 55/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 16.7699 - mean_squared_error: 16.7699\n", + "293/293 [==============================] - 5s 16ms/step - loss: 16.6287 - mean_squared_error: 16.6287\n", "Epoch 56/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 11.5884 - mean_squared_error: 11.5884\n", + "293/293 [==============================] - 5s 16ms/step - loss: 16.3168 - mean_squared_error: 16.3168\n", "Epoch 57/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 11.2608 - mean_squared_error: 11.2608\n", + "293/293 [==============================] - 5s 16ms/step - loss: 18.8847 - mean_squared_error: 18.8847\n", "Epoch 58/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 13.6555 - mean_squared_error: 13.6555\n", + "293/293 [==============================] - 5s 16ms/step - loss: 20.1943 - mean_squared_error: 20.1943\n", "Epoch 59/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 16.4050 - mean_squared_error: 16.4050\n", + "293/293 [==============================] - 5s 16ms/step - loss: 22.6101 - mean_squared_error: 22.6101\n", "Epoch 60/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 23.0564 - mean_squared_error: 23.0564\n", + "293/293 [==============================] - 5s 16ms/step - loss: 19.8736 - mean_squared_error: 19.8736\n", "Epoch 61/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 28.0808 - mean_squared_error: 28.0808\n", + "293/293 [==============================] - 5s 16ms/step - loss: 19.8947 - mean_squared_error: 19.8947\n", "Epoch 62/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 19.2690 - mean_squared_error: 19.2690\n", + "293/293 [==============================] - 5s 16ms/step - loss: 19.0540 - mean_squared_error: 19.0540\n", "Epoch 63/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 14.3920 - mean_squared_error: 14.3920\n", + "293/293 [==============================] - 5s 16ms/step - loss: 18.1842 - mean_squared_error: 18.1842\n", "Epoch 64/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 12.5167 - mean_squared_error: 12.5167\n", + "293/293 [==============================] - 5s 16ms/step - loss: 15.4725 - mean_squared_error: 15.4725\n", "Epoch 65/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 14.2031 - mean_squared_error: 14.2031\n", + "293/293 [==============================] - 5s 16ms/step - loss: 16.2298 - mean_squared_error: 16.2298\n", "Epoch 66/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 13.2670 - mean_squared_error: 13.2670\n", + "293/293 [==============================] - 5s 16ms/step - loss: 13.2303 - mean_squared_error: 13.2303\n", "Epoch 67/80\n", - "293/293 [==============================] - 5s 17ms/step - loss: 15.0297 - mean_squared_error: 15.0297\n", + "293/293 [==============================] - 5s 16ms/step - loss: 14.2212 - mean_squared_error: 14.2212\n", "Epoch 68/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 16.3161 - mean_squared_error: 16.3161\n", + "293/293 [==============================] - 5s 16ms/step - loss: 12.7895 - mean_squared_error: 12.7895\n", "Epoch 69/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 14.6367 - mean_squared_error: 14.6367\n", + "293/293 [==============================] - 5s 18ms/step - loss: 15.7551 - mean_squared_error: 15.7551\n", "Epoch 70/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 12.4564 - mean_squared_error: 12.4564\n", + "293/293 [==============================] - 5s 17ms/step - loss: 18.4030 - mean_squared_error: 18.4030\n", "Epoch 71/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 11.4511 - mean_squared_error: 11.4511\n", + "293/293 [==============================] - 5s 16ms/step - loss: 16.0214 - mean_squared_error: 16.0214\n", "Epoch 72/80\n", - "293/293 [==============================] - 5s 17ms/step - loss: 14.1012 - mean_squared_error: 14.1012\n", + "293/293 [==============================] - 5s 17ms/step - loss: 12.3694 - mean_squared_error: 12.3694\n", "Epoch 73/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 15.6135 - mean_squared_error: 15.6135\n", + "293/293 [==============================] - 5s 17ms/step - loss: 10.5107 - mean_squared_error: 10.5107\n", "Epoch 74/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 16.4932 - mean_squared_error: 16.4932\n", + "293/293 [==============================] - 5s 17ms/step - loss: 11.7746 - mean_squared_error: 11.7746\n", "Epoch 75/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 12.8654 - mean_squared_error: 12.8654\n", + "293/293 [==============================] - 5s 16ms/step - loss: 11.6589 - mean_squared_error: 11.6589\n", "Epoch 76/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 10.6150 - mean_squared_error: 10.6150\n", + "293/293 [==============================] - 5s 16ms/step - loss: 14.1691 - mean_squared_error: 14.1691\n", "Epoch 77/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 11.0828 - mean_squared_error: 11.0828\n", + "293/293 [==============================] - 5s 16ms/step - loss: 15.9365 - mean_squared_error: 15.9365\n", "Epoch 78/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 12.4208 - mean_squared_error: 12.4208\n", + "293/293 [==============================] - 5s 17ms/step - loss: 15.4616 - mean_squared_error: 15.4616\n", "Epoch 79/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 13.5073 - mean_squared_error: 13.5073\n", + "293/293 [==============================] - 5s 17ms/step - loss: 13.2958 - mean_squared_error: 13.2958\n", "Epoch 80/80\n", - "293/293 [==============================] - 5s 16ms/step - loss: 13.8812 - mean_squared_error: 13.8812\n" + "293/293 [==============================] - 5s 17ms/step - loss: 11.3826 - mean_squared_error: 11.3826\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 73, + "execution_count": 114, "metadata": {}, "output_type": "execute_result" } @@ -1199,7 +1199,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 115, "id": "bad4d35a", "metadata": {}, "outputs": [], @@ -1207,22 +1207,25 @@ "x_test = pd.read_csv('test-A/in.tsv', sep='\\t', names=in_columns)\n", "#y_test = pd.read_csv('test-A/expected.tsv', sep='\\t',names=['rainfall'])\n", "#x_test = x_test.drop(['nazwa_stacji', 'typ_zbioru'],axis=1)\n", - "df_train = pd.read_csv('train/in.tsv', names=in_columns, sep='\\t')" + "#df_train = pd.read_csv('train/in.tsv', names=in_columns, sep='\\t')\n", + "df_train = pd.read_csv('train/in.tsv', names=in_columns, sep='\\t')\n", + "df2_train = pd.read_csv('dev-0/in.tsv', names=in_columns, sep='\\t')\n", + "df_train = pd.concat([df_train, df2_train])" ] }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 116, "id": "a3b6fff0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "9480" + "10080" ] }, - "execution_count": 75, + "execution_count": 116, "metadata": {}, "output_type": "execute_result" } @@ -1234,17 +1237,17 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 117, "id": "cdf89362", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "9480" + "10080" ] }, - "execution_count": 76, + "execution_count": 117, "metadata": {}, "output_type": "execute_result" } @@ -1256,7 +1259,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 118, "id": "fe00b876", "metadata": {}, "outputs": [ @@ -1450,7 +1453,7 @@ " ...\n", " \n", " \n", - " 8755\n", + " 595\n", " 0\n", " 0\n", " 0\n", @@ -1474,7 +1477,7 @@ " 0\n", " \n", " \n", - " 8756\n", + " 596\n", " 0\n", " 0\n", " 0\n", @@ -1498,7 +1501,7 @@ " 0\n", " \n", " \n", - " 8757\n", + " 597\n", " 0\n", " 0\n", " 0\n", @@ -1522,7 +1525,7 @@ " 0\n", " \n", " \n", - " 8758\n", + " 598\n", " 0\n", " 0\n", " 0\n", @@ -1546,7 +1549,7 @@ " 0\n", " \n", " \n", - " 8759\n", + " 599\n", " 0\n", " 0\n", " 0\n", @@ -1571,79 +1574,79 @@ " \n", " \n", "\n", - "

9480 rows × 73 columns

\n", + "

10080 rows × 73 columns

\n", "" ], "text/plain": [ - " id_stacji_249180010 id_stacji_249190560 id_stacji_249200370 \\\n", - "0 0 0 1 \n", - "1 0 0 1 \n", - "2 0 0 1 \n", - "3 0 0 1 \n", - "4 0 0 1 \n", - "... ... ... ... \n", - "8755 0 0 0 \n", - "8756 0 0 0 \n", - "8757 0 0 0 \n", - "8758 0 0 0 \n", - "8759 0 0 0 \n", + " id_stacji_249180010 id_stacji_249190560 id_stacji_249200370 \\\n", + "0 0 0 1 \n", + "1 0 0 1 \n", + "2 0 0 1 \n", + "3 0 0 1 \n", + "4 0 0 1 \n", + ".. ... ... ... \n", + "595 0 0 0 \n", + "596 0 0 0 \n", + "597 0 0 0 \n", + "598 0 0 0 \n", + "599 0 0 0 \n", "\n", - " id_stacji_249200490 id_stacji_249220150 id_stacji_249220180 \\\n", - "0 0 0 0 \n", - "1 0 0 0 \n", - "2 0 0 0 \n", - "3 0 0 0 \n", - "4 0 0 0 \n", - "... ... ... ... \n", - "8755 0 0 0 \n", - "8756 0 0 0 \n", - "8757 0 0 0 \n", - "8758 0 0 0 \n", - "8759 0 0 0 \n", + " id_stacji_249200490 id_stacji_249220150 id_stacji_249220180 \\\n", + "0 0 0 0 \n", + "1 0 0 0 \n", + "2 0 0 0 \n", + "3 0 0 0 \n", + "4 0 0 0 \n", + ".. ... ... ... \n", + "595 0 0 0 \n", + "596 0 0 0 \n", + "597 0 0 0 \n", + "598 0 0 0 \n", + "599 0 0 0 \n", "\n", - " id_stacji_250190160 id_stacji_250190390 id_stacji_250210130 \\\n", - "0 0 0 0 \n", - "1 0 0 0 \n", - "2 0 0 0 \n", - "3 0 0 0 \n", - "4 0 0 0 \n", - "... ... ... ... \n", - "8755 0 0 0 \n", - "8756 0 0 0 \n", - "8757 0 0 0 \n", - "8758 0 0 0 \n", - "8759 0 0 0 \n", + " id_stacji_250190160 id_stacji_250190390 id_stacji_250210130 \\\n", + "0 0 0 0 \n", + "1 0 0 0 \n", + "2 0 0 0 \n", + "3 0 0 0 \n", + "4 0 0 0 \n", + ".. ... ... ... \n", + "595 0 0 0 \n", + "596 0 0 0 \n", + "597 0 0 0 \n", + "598 0 0 0 \n", + "599 0 0 0 \n", "\n", - " id_stacji_251170090 ... miesiąc_3 miesiąc_4 miesiąc_5 miesiąc_6 \\\n", - "0 0 ... 0 0 0 0 \n", - "1 0 ... 0 0 0 0 \n", - "2 0 ... 1 0 0 0 \n", - "3 0 ... 0 1 0 0 \n", - "4 0 ... 0 0 1 0 \n", - "... ... ... ... ... ... ... \n", - "8755 0 ... 0 0 0 0 \n", - "8756 0 ... 0 0 0 0 \n", - "8757 0 ... 0 0 0 0 \n", - "8758 0 ... 0 0 0 0 \n", - "8759 0 ... 0 0 0 0 \n", + " id_stacji_251170090 ... miesiąc_3 miesiąc_4 miesiąc_5 miesiąc_6 \\\n", + "0 0 ... 0 0 0 0 \n", + "1 0 ... 0 0 0 0 \n", + "2 0 ... 1 0 0 0 \n", + "3 0 ... 0 1 0 0 \n", + "4 0 ... 0 0 1 0 \n", + ".. ... ... ... ... ... ... \n", + "595 0 ... 0 0 0 0 \n", + "596 0 ... 0 0 0 0 \n", + "597 0 ... 0 0 0 0 \n", + "598 0 ... 0 0 0 0 \n", + "599 0 ... 0 0 0 0 \n", "\n", - " miesiąc_7 miesiąc_8 miesiąc_9 miesiąc_10 miesiąc_11 miesiąc_12 \n", - "0 0 0 0 0 0 0 \n", - "1 0 0 0 0 0 0 \n", - "2 0 0 0 0 0 0 \n", - "3 0 0 0 0 0 0 \n", - "4 0 0 0 0 0 0 \n", - "... ... ... ... ... ... ... \n", - "8755 0 1 0 0 0 0 \n", - "8756 0 0 1 0 0 0 \n", - "8757 0 0 0 1 0 0 \n", - "8758 0 0 0 0 1 0 \n", - "8759 0 0 0 0 0 1 \n", + " miesiąc_7 miesiąc_8 miesiąc_9 miesiąc_10 miesiąc_11 miesiąc_12 \n", + "0 0 0 0 0 0 0 \n", + "1 0 0 0 0 0 0 \n", + "2 0 0 0 0 0 0 \n", + "3 0 0 0 0 0 0 \n", + "4 0 0 0 0 0 0 \n", + ".. ... ... ... ... ... ... \n", + "595 0 1 0 0 0 0 \n", + "596 0 0 1 0 0 0 \n", + "597 0 0 0 1 0 0 \n", + "598 0 0 0 0 1 0 \n", + "599 0 0 0 0 0 1 \n", "\n", - "[9480 rows x 73 columns]" + "[10080 rows x 73 columns]" ] }, - "execution_count": 77, + "execution_count": 118, "metadata": {}, "output_type": "execute_result" } @@ -1655,7 +1658,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 119, "id": "657a7976", "metadata": {}, "outputs": [ @@ -1849,7 +1852,7 @@ " ...\n", " \n", " \n", - " 115\n", + " 715\n", " 0\n", " 0\n", " 0\n", @@ -1873,7 +1876,7 @@ " 0\n", " \n", " \n", - " 116\n", + " 716\n", " 0\n", " 0\n", " 0\n", @@ -1897,7 +1900,7 @@ " 0\n", " \n", " \n", - " 117\n", + " 717\n", " 0\n", " 0\n", " 0\n", @@ -1921,7 +1924,7 @@ " 0\n", " \n", " \n", - " 118\n", + " 718\n", " 0\n", " 0\n", " 0\n", @@ -1945,7 +1948,7 @@ " 0\n", " \n", " \n", - " 119\n", + " 719\n", " 0\n", " 0\n", " 0\n", @@ -1970,7 +1973,7 @@ " \n", " \n", "\n", - "

120 rows × 73 columns

\n", + "

720 rows × 73 columns

\n", "" ], "text/plain": [ @@ -1981,11 +1984,11 @@ "3 0 0 1 \n", "4 0 0 1 \n", ".. ... ... ... \n", - "115 0 0 0 \n", - "116 0 0 0 \n", - "117 0 0 0 \n", - "118 0 0 0 \n", - "119 0 0 0 \n", + "715 0 0 0 \n", + "716 0 0 0 \n", + "717 0 0 0 \n", + "718 0 0 0 \n", + "719 0 0 0 \n", "\n", " id_stacji_249200490 id_stacji_249220150 id_stacji_249220180 \\\n", "0 0 0 0 \n", @@ -1994,11 +1997,11 @@ "3 0 0 0 \n", "4 0 0 0 \n", ".. ... ... ... \n", - "115 0 0 0 \n", - "116 0 0 0 \n", - "117 0 0 0 \n", - "118 0 0 0 \n", - "119 0 0 0 \n", + "715 0 0 0 \n", + "716 0 0 0 \n", + "717 0 0 0 \n", + "718 0 0 0 \n", + "719 0 0 0 \n", "\n", " id_stacji_250190160 id_stacji_250190390 id_stacji_250210130 \\\n", "0 0 0 0 \n", @@ -2007,11 +2010,11 @@ "3 0 0 0 \n", "4 0 0 0 \n", ".. ... ... ... \n", - "115 0 0 0 \n", - "116 0 0 0 \n", - "117 0 0 0 \n", - "118 0 0 0 \n", - "119 0 0 0 \n", + "715 0 0 0 \n", + "716 0 0 0 \n", + "717 0 0 0 \n", + "718 0 0 0 \n", + "719 0 0 0 \n", "\n", " id_stacji_251170090 ... miesiąc_3 miesiąc_4 miesiąc_5 miesiąc_6 \\\n", "0 0 ... 0 0 0 0 \n", @@ -2020,11 +2023,11 @@ "3 0 ... 0 1 0 0 \n", "4 0 ... 0 0 1 0 \n", ".. ... ... ... ... ... ... \n", - "115 0 ... 0 0 0 0 \n", - "116 0 ... 0 0 0 0 \n", - "117 0 ... 0 0 0 0 \n", - "118 0 ... 0 0 0 0 \n", - "119 0 ... 0 0 0 0 \n", + "715 0 ... 0 0 0 0 \n", + "716 0 ... 0 0 0 0 \n", + "717 0 ... 0 0 0 0 \n", + "718 0 ... 0 0 0 0 \n", + "719 0 ... 0 0 0 0 \n", "\n", " miesiąc_7 miesiąc_8 miesiąc_9 miesiąc_10 miesiąc_11 miesiąc_12 \n", "0 0 0 0 0 0 0 \n", @@ -2033,16 +2036,16 @@ "3 0 0 0 0 0 0 \n", "4 0 0 0 0 0 0 \n", ".. ... ... ... ... ... ... \n", - "115 0 1 0 0 0 0 \n", - "116 0 0 1 0 0 0 \n", - "117 0 0 0 1 0 0 \n", - "118 0 0 0 0 1 0 \n", - "119 0 0 0 0 0 1 \n", + "715 0 1 0 0 0 0 \n", + "716 0 0 1 0 0 0 \n", + "717 0 0 0 1 0 0 \n", + "718 0 0 0 0 1 0 \n", + "719 0 0 0 0 0 1 \n", "\n", - "[120 rows x 73 columns]" + "[720 rows x 73 columns]" ] }, - "execution_count": 78, + "execution_count": 119, "metadata": {}, "output_type": "execute_result" } @@ -2054,7 +2057,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 120, "id": "1163c550", "metadata": {}, "outputs": [ @@ -2062,7 +2065,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "4/4 [==============================] - 0s 3ms/step\n" + "23/23 [==============================] - 0s 4ms/step\n" ] } ], @@ -2072,7 +2075,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 121, "id": "6c24ee76", "metadata": {}, "outputs": [ @@ -2080,7 +2083,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "4/4 [==============================] - 0s 3ms/step\n" + "23/23 [==============================] - 0s 4ms/step\n" ] } ],