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@ehrentreu
Created November 18, 2019 16:18
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# KINERET\n"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 66,
"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>date</th>\n",
" <th>height</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>17 Nov 2019</td>\n",
" <td>-211.850</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>16 Nov 2019</td>\n",
" <td>-211.845</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>15 Nov 2019</td>\n",
" <td>-211.850</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>14 Nov 2019</td>\n",
" <td>-211.850</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>13 Nov 2019</td>\n",
" <td>-211.845</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" date height\n",
"0 17 Nov 2019 -211.850\n",
"1 16 Nov 2019 -211.845\n",
"2 15 Nov 2019 -211.850\n",
"3 14 Nov 2019 -211.850\n",
"4 13 Nov 2019 -211.845"
]
},
"execution_count": 66,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"kinnert_data=pd.read_csv(\"data/kinneret_level.csv\",names=[\"date\",\"height\"],skiprows=1)\n",
"kinnert_data.head()"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"lowest water levels:\n"
]
},
{
"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>date</th>\n",
" <th>height</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>5634</th>\n",
" <td>2001-11-29</td>\n",
" <td>-214.87</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5635</th>\n",
" <td>2001-11-28</td>\n",
" <td>-214.87</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5636</th>\n",
" <td>2001-11-27</td>\n",
" <td>-214.87</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5637</th>\n",
" <td>2001-11-26</td>\n",
" <td>-214.87</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5638</th>\n",
" <td>2001-11-25</td>\n",
" <td>-214.87</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" date height\n",
"5634 2001-11-29 -214.87\n",
"5635 2001-11-28 -214.87\n",
"5636 2001-11-27 -214.87\n",
"5637 2001-11-26 -214.87\n",
"5638 2001-11-25 -214.87"
]
},
"execution_count": 67,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"kt=kinnert_data\n",
"kt.date = pd.to_datetime(kt.date)\n",
"min_h = kt [kt.height == kt.height.min()]\n",
"print(\"lowest water levels:\")\n",
"min_h"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"highest water levels:\n"
]
},
{
"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>date</th>\n",
" <th>height</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>8801</th>\n",
" <td>1969-01-27</td>\n",
" <td>-208.2</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" date height\n",
"8801 1969-01-27 -208.2"
]
},
"execution_count": 68,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"max_h = kt [kt.height == kt.height.max()]\n",
"print(\"highest water levels:\")\n",
"max_h"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"the delta is:\n",
"6.670000000000016\n"
]
}
],
"source": [
"print (\"the delta is:\")\n",
"print (f'{kt.height.max() - kt.height.min()}')"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"pl = kt.plot (x='date', y='height');\n",
"pl.axhline(y=kt.height.max(),linestyle = '--', color='r', lw=2);\n",
"pl.axhline(y=kt.height.min(), linestyle = '--', color='r', lw=2);\n"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"pl = kt.plot (x='date', y='height');\n",
"pl.axhline(y=kt.height.max(),linestyle = '--', color='r', lw=2);\n",
"pl.axhline(y=kt.height.min(), linestyle = '--', color='r', lw=2);\n",
"\n",
"for i in range(len(max_h)):\n",
" pl.annotate('Max',\n",
" (list(max_h[\"date\"])[i],list(max_h[\"height\"])[i]),\n",
" xytext=(15, 15), color='r',\n",
" textcoords='offset points',\n",
" arrowprops=dict(arrowstyle='-|>'))\n",
"for i in range(len(min_h)):\n",
" pl.annotate('Min',\n",
" (list(min_h[\"date\"])[i],list(min_h[\"height\"])[i]),\n",
" xytext=(15, 15), color='g',\n",
" textcoords='offset points',\n",
" arrowprops=dict(arrowstyle='-|>'))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"sns.set()\n",
"kt['year']=kt['date'].dt.year\n",
"kt[\"month\"]=kt['date'].dt.month\n",
"pivot_table=pd.pivot_table(kt,index=\"year\",columns=\"month\",values=\"height\", aggfunc='mean')\n",
"# Draw a heatmap with the numeric values in each cell\n",
"f, ax = plt.subplots(figsize=(9, 6))\n",
"sns.heatmap(piv_table, fmt=\"f\", linewidths=.5, ax=ax,cmap=\"Blues\");"
]
}
],
"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": "3.7.4"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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