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Renamed test.ipynb to a more representative name

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dario 2024-04-19 11:00:26 +02:00
parent aa4c338eaa
commit 53b86e623e
1 changed files with 1 additions and 120 deletions
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121
tests.ipynb → conversion.ipynb
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@ -10,132 +10,13 @@
"import matplotlib.pyplot as plt" "import matplotlib.pyplot as plt"
] ]
}, },
{
"cell_type": "code",
"execution_count": 493,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1 21.079909\n",
"2 21.079909\n",
"3 21.079909\n",
"4 21.079909\n",
"5 21.079909\n",
" ... \n",
"1362 21.080085\n",
"1363 21.080085\n",
"1364 21.080085\n",
"1365 21.080085\n",
"1366 21.080085\n",
"Name: longitude, Length: 1366, dtype: float64"
]
},
"execution_count": 493,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv('data/simulations/11km.txt', sep='\\t', encoding='latin')\n",
"df = df.drop([0], axis=0)\n",
"df = df.astype(float)\n",
"\n",
"df['longitude']"
]
},
{
"cell_type": "code",
"execution_count": 494,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1 67.885478\n",
"2 67.885478\n",
"3 67.885478\n",
"4 67.885478\n",
"5 67.885478\n",
" ... \n",
"1362 67.959101\n",
"1363 67.959101\n",
"1364 67.959101\n",
"1365 67.959101\n",
"1366 67.959101\n",
"Name: latitude, Length: 1366, dtype: float64"
]
},
"execution_count": 494,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['latitude']"
]
},
{
"cell_type": "code",
"execution_count": 495,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1 67.750940\n",
"2 67.750940\n",
"3 67.750940\n",
"4 67.750940\n",
"5 67.750940\n",
" ... \n",
"1362 67.824918\n",
"1363 67.824918\n",
"1364 67.824918\n",
"1365 67.824918\n",
"1366 67.824918\n",
"Name: declination, Length: 1366, dtype: float64"
]
},
"execution_count": 495,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['declination']"
]
},
{
"cell_type": "code",
"execution_count": 496,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"8.20214666930979e-13 -1.51393643837011e-12 -2.40063988328838e-12\n"
]
}
],
"source": [
"print(df.at[2, 'x_FL'], df.at[2, 'y_FL'], df.at[2, 'z_FL'])"
]
},
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 497, "execution_count": 497,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"df = pd.read_csv('data/simulations/raw/Resultmin20.txt', sep='\\t')\n", "df = pd.read_csv('data/simulations/raw/Resultmin20.txt', sep='\\t')"
"\n",
"# Result_Exporte -> 19km\n",
"# Resultadd10 -> 16km\n",
"# Resultmin10 -> 23km\n",
"# Resultmin20 ->"
] ]
}, },
{ {