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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"# Import libraries\n", | |
"import pandas as pd\n", | |
"from fbprophet import Prophet\n", | |
"from matplotlib import pyplot as plt" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>ds</th>\n", | |
" <th>y</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>0</th>\n", | |
" <td>2010-06-23</td>\n", | |
" <td>9.92</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1</th>\n", | |
" <td>2010-06-25</td>\n", | |
" <td>8.05</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2</th>\n", | |
" <td>2010-06-26</td>\n", | |
" <td>8.05</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>3</th>\n", | |
" <td>2010-06-27</td>\n", | |
" <td>7.91</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>4</th>\n", | |
" <td>2010-06-28</td>\n", | |
" <td>7.91</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" ds y\n", | |
"0 2010-06-23 9.92\n", | |
"1 2010-06-25 8.05\n", | |
"2 2010-06-26 8.05\n", | |
"3 2010-06-27 7.91\n", | |
"4 2010-06-28 7.91" | |
] | |
}, | |
"execution_count": 3, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"# Read data and prepare it for analysis\n", | |
"df = pd.read_excel(\"dolartoday.xlsx\")\n", | |
"df = df[[\"Fecha\",\"DolarToday\"]]\n", | |
"df['Fecha'] = pd.to_datetime(df['Fecha'])\n", | |
"df = df.rename(columns={\"Fecha\": \"ds\", \"DolarToday\":\"y\"})\n", | |
"df.head()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"# Selecting only 2017\n", | |
"df = df[(df['ds'] >= '2017-01-01')]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
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MksRQUc9ERIbELY+9zFfu3QRARVkRf/PeE7hy8ZsoKtQk0nyinomIDLu9B9p4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\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x11380a438>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"df.plot('ds','y')\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"<fbprophet.forecaster.Prophet at 0x113956208>" | |
] | |
}, | |
"execution_count": 6, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"m = Prophet(yearly_seasonality=False, daily_seasonality=False)\n", | |
"m.fit(df)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>ds</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>646</th>\n", | |
" <td>2018-10-11</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>647</th>\n", | |
" <td>2018-10-12</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>648</th>\n", | |
" <td>2018-10-13</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>649</th>\n", | |
" <td>2018-10-14</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>650</th>\n", | |
" <td>2018-10-15</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" ds\n", | |
"646 2018-10-11\n", | |
"647 2018-10-12\n", | |
"648 2018-10-13\n", | |
"649 2018-10-14\n", | |
"650 2018-10-15" | |
] | |
}, | |
"execution_count": 7, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"# Predicting for 100 days\n", | |
"future = m.make_future_dataframe(periods=100)\n", | |
"future.tail()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 8, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
" .dataframe tbody tr th:only-of-type {\n", | |
" vertical-align: middle;\n", | |
" }\n", | |
"\n", | |
" .dataframe tbody tr th {\n", | |
" vertical-align: top;\n", | |
" }\n", | |
"\n", | |
" .dataframe thead th {\n", | |
" text-align: right;\n", | |
" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>ds</th>\n", | |
" <th>yhat</th>\n", | |
" <th>yhat_lower</th>\n", | |
" <th>yhat_upper</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>646</th>\n", | |
" <td>2018-10-11</td>\n", | |
" <td>4.919795e+06</td>\n", | |
" <td>4.532312e+06</td>\n", | |
" <td>5.270389e+06</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>647</th>\n", | |
" <td>2018-10-12</td>\n", | |
" <td>4.943194e+06</td>\n", | |
" <td>4.587943e+06</td>\n", | |
" <td>5.284848e+06</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>648</th>\n", | |
" <td>2018-10-13</td>\n", | |
" <td>4.961892e+06</td>\n", | |
" <td>4.607016e+06</td>\n", | |
" <td>5.311349e+06</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>649</th>\n", | |
" <td>2018-10-14</td>\n", | |
" <td>4.970322e+06</td>\n", | |
" <td>4.604377e+06</td>\n", | |
" <td>5.305726e+06</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>650</th>\n", | |
" <td>2018-10-15</td>\n", | |
" <td>4.991925e+06</td>\n", | |
" <td>4.617488e+06</td>\n", | |
" <td>5.356189e+06</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" ds yhat yhat_lower yhat_upper\n", | |
"646 2018-10-11 4.919795e+06 4.532312e+06 5.270389e+06\n", | |
"647 2018-10-12 4.943194e+06 4.587943e+06 5.284848e+06\n", | |
"648 2018-10-13 4.961892e+06 4.607016e+06 5.311349e+06\n", | |
"649 2018-10-14 4.970322e+06 4.604377e+06 5.305726e+06\n", | |
"650 2018-10-15 4.991925e+06 4.617488e+06 5.356189e+06" | |
] | |
}, | |
"execution_count": 8, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"forecast = m.predict(future)\n", | |
"forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 9, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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q5uYZo1hycWHccTuiFqn+JEqyU9W5op9pB1lERESGjYqKCgzDwLbtPu1WcYpp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\n/1OpjrwAAAAASUVORK5CYII=\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x1139b8a58>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"fig1 = m.plot(forecast)\n", | |
"plt.xlabel(\"Date\")\n", | |
"plt.ylabel(\"Dolar price Bs\")\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 10, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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iIiI9Wf7RGu56fQu5pSd54toR3H/ZEHz1pK+0wWS0dmOc2CUmJrJu3TqdOm5F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\nAAAASUVORK5CYII=\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x1139b8c88>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"fig2 = m.plot_components(forecast)\n", | |
"plt.show()" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3", | |
"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": "3.6.1" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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