From aa9da7d6dd66720cb1076c960036b796c7d9a34c Mon Sep 17 00:00:00 2001
From: Skcodingacademy <139916977+Skcodingacademy@users.noreply.github.com>
Date: Mon, 4 Dec 2023 23:00:39 +0000
Subject: [PATCH 1/2] Answers done
---
SethK/explore.ipynb | 506 ++++++++++++++++++++++++++++++++
models/autoarima-7_seasonal.sav | Bin 0 -> 951345 bytes
2 files changed, 506 insertions(+)
create mode 100644 SethK/explore.ipynb
create mode 100644 models/autoarima-7_seasonal.sav
diff --git a/SethK/explore.ipynb b/SethK/explore.ipynb
new file mode 100644
index 0000000000..6af309daa2
--- /dev/null
+++ b/SethK/explore.ipynb
@@ -0,0 +1,506 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Explore here"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " date | \n",
+ " sales | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 2022-09-03 17:10:08.079328 | \n",
+ " 55.292157 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " 2022-09-04 17:10:08.079328 | \n",
+ " 53.803211 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " 2022-09-05 17:10:08.079328 | \n",
+ " 58.141693 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " 2022-09-06 17:10:08.079328 | \n",
+ " 64.530899 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " 2022-09-07 17:10:08.079328 | \n",
+ " 66.013633 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " date sales\n",
+ "0 2022-09-03 17:10:08.079328 55.292157\n",
+ "1 2022-09-04 17:10:08.079328 53.803211\n",
+ "2 2022-09-05 17:10:08.079328 58.141693\n",
+ "3 2022-09-06 17:10:08.079328 64.530899\n",
+ "4 2022-09-07 17:10:08.079328 66.013633"
+ ]
+ },
+ "execution_count": 25,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "import seaborn as sns\n",
+ "from statsmodels.tsa.stattools import adfuller\n",
+ "from statsmodels.tsa.seasonal import seasonal_decompose\n",
+ "from statsmodels.graphics.tsaplots import plot_acf\n",
+ "from pmdarima import auto_arima\n",
+ "from pickle import dump\n",
+ "\n",
+ "# load the dataset\n",
+ "total_data = pd.read_csv(\"https://raw.githubusercontent.com/4GeeksAcademy/alternative-time-series-project/main/sales.csv\")\n",
+ "\n",
+ "total_data.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "date\n",
+ "2022-09-03 17:10:08.079328 55.292157\n",
+ "2022-09-04 17:10:08.079328 53.803211\n",
+ "2022-09-05 17:10:08.079328 58.141693\n",
+ "2022-09-06 17:10:08.079328 64.530899\n",
+ "2022-09-07 17:10:08.079328 66.013633\n",
+ "Name: sales, dtype: float64"
+ ]
+ },
+ "execution_count": 26,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "#Transform to datetime object\n",
+ "total_data[\"date\"] = pd.to_datetime(total_data.date)\n",
+ "total_data = total_data.set_index(\"date\")\n",
+ "ts_total = total_data[\"sales\"]\n",
+ "ts_total.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#plot the time series \n",
+ "fig, axis = plt.subplots(figsize = (10, 5))\n",
+ "\n",
+ "sns.lineplot(data = ts_total)\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Dickey-Fuller test results:\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "Test Statistic 0.545414\n",
+ "p-value 0.986190\n",
+ "#Lags Used 13.000000\n",
+ "Number of Observations Used 352.000000\n",
+ "Critical Value (1%) -3.449065\n",
+ "Critical Value (5%) -2.869786\n",
+ "Critical Value (10%) -2.571163\n",
+ "dtype: float64"
+ ]
+ },
+ "execution_count": 28,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "#adfuller allows you to specify the number of lags\n",
+ "#The ADF test is a method used to determine if a time series is stationary \n",
+ "def test_stationarity(timeseries):\n",
+ " print(\"Dickey-Fuller test results:\")\n",
+ " dftest = adfuller(timeseries, autolag = \"AIC\")\n",
+ " dfoutput = pd.Series(dftest[0:4], index = [\"Test Statistic\", \"p-value\", \"#Lags Used\", \"Number of Observations Used\"])\n",
+ " for key,value in dftest[4].items():\n",
+ " dfoutput[\"Critical Value (%s)\"%key] = value\n",
+ " return dfoutput\n",
+ "\n",
+ "test_stationarity(ts_total)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Since the p-value is higher than 0.05, we can say the series is not stationary. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 29,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "#Series decomposition \n",
+ "decomposition = seasonal_decompose(ts_total)\n",
+ "decomposition"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "trend = decomposition.trend\n",
+ "\n",
+ "fig, axis = plt.subplots(figsize = (10, 5))\n",
+ "\n",
+ "sns.lineplot(data = ts_total)\n",
+ "sns.lineplot(data = trend)\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "plt.show()\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "A Upward trend can be seen."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "seasonal = decomposition.seasonal\n",
+ "\n",
+ "fig, axis = plt.subplots(figsize = (10, 5))\n",
+ "\n",
+ "sns.lineplot(data = ts_total)\n",
+ "sns.lineplot(data = seasonal)\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "residual = decomposition.resid\n",
+ "\n",
+ "fig, axis = plt.subplots(figsize = (10, 5))\n",
+ "\n",
+ "sns.lineplot(data = ts_total)\n",
+ "sns.lineplot(data = residual)\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "We see a high variabilty and also some debris during a high cpu load."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plot_acf(ts_total)\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "plt.show()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/vscode/.local/lib/python3.11/site-packages/pmdarima/arima/_validation.py:62: UserWarning: m (7) set for non-seasonal fit. Setting to 0\n",
+ " warnings.warn(\"m (%i) set for non-seasonal fit. Setting to 0\" % m)\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Performing stepwise search to minimize aic\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " ARIMA(2,1,2)(0,0,0)[0] intercept : AIC=1843.274, Time=0.61 sec\n",
+ " ARIMA(0,1,0)(0,0,0)[0] intercept : AIC=2096.542, Time=0.02 sec\n",
+ " ARIMA(1,1,0)(0,0,0)[0] intercept : AIC=1970.972, Time=0.05 sec\n",
+ " ARIMA(0,1,1)(0,0,0)[0] intercept : AIC=1839.586, Time=0.15 sec\n",
+ " ARIMA(0,1,0)(0,0,0)[0] : AIC=2209.657, Time=0.02 sec\n",
+ " ARIMA(1,1,1)(0,0,0)[0] intercept : AIC=1839.552, Time=0.39 sec\n",
+ " ARIMA(2,1,1)(0,0,0)[0] intercept : AIC=1841.532, Time=0.44 sec\n",
+ " ARIMA(1,1,2)(0,0,0)[0] intercept : AIC=1843.586, Time=0.23 sec\n",
+ " ARIMA(0,1,2)(0,0,0)[0] intercept : AIC=1839.607, Time=0.23 sec\n",
+ " ARIMA(2,1,0)(0,0,0)[0] intercept : AIC=1922.648, Time=0.08 sec\n",
+ " ARIMA(1,1,1)(0,0,0)[0] : AIC=inf, Time=0.27 sec\n",
+ "\n",
+ "Best model: ARIMA(1,1,1)(0,0,0)[0] intercept\n",
+ "Total fit time: 2.481 seconds\n"
+ ]
+ }
+ ],
+ "source": [
+ "model = auto_arima(ts_total, seasonal = False, trace = True, m = 7)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "2023-09-04 17:10:08.079328 1002.158148\n",
+ "2023-09-05 17:10:08.079328 1004.831669\n",
+ "2023-09-06 17:10:08.079328 1007.423289\n",
+ "2023-09-07 17:10:08.079328 1010.021630\n",
+ "2023-09-08 17:10:08.079328 1012.619419\n",
+ "2023-09-09 17:10:08.079328 1015.217254\n",
+ "2023-09-10 17:10:08.079328 1017.815084\n",
+ "2023-09-11 17:10:08.079328 1020.412915\n",
+ "2023-09-12 17:10:08.079328 1023.010746\n",
+ "2023-09-13 17:10:08.079328 1025.608577\n",
+ "2023-09-14 17:10:08.079328 1028.206409\n",
+ "2023-09-15 17:10:08.079328 1030.804240\n",
+ "2023-09-16 17:10:08.079328 1033.402071\n",
+ "2023-09-17 17:10:08.079328 1035.999902\n",
+ "2023-09-18 17:10:08.079328 1038.597733\n",
+ "2023-09-19 17:10:08.079328 1041.195564\n",
+ "2023-09-20 17:10:08.079328 1043.793395\n",
+ "2023-09-21 17:10:08.079328 1046.391226\n",
+ "2023-09-22 17:10:08.079328 1048.989057\n",
+ "2023-09-23 17:10:08.079328 1051.586888\n",
+ "Freq: D, dtype: float64"
+ ]
+ },
+ "execution_count": 35,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "forecast = model.predict(20)\n",
+ "forecast"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 36,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "fig, axis = plt.subplots(figsize = (10, 5))\n",
+ "\n",
+ "sns.lineplot(data = ts_total)\n",
+ "sns.lineplot(data = forecast, c = \"green\")\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "#saving our model\n",
+ "dump(model, open(\"../models/autoarima-7_seasonal.sav\", \"wb\"))"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3.8.13 64-bit ('3.8.13')",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
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