{
"cells": [
{
"cell_type": "code",
"execution_count": 207,
"metadata": {},
"outputs": [],
"source": [
"import pathlib\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.dates as mdates\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 208,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" STATIONS_ID | \n",
" MESS_DATUM | \n",
" QN_4 | \n",
" TT_TER | \n",
" RF_TER | \n",
"
\n",
" \n",
" \n",
" \n",
" count | \n",
" 1939.0 | \n",
" 1.939000e+03 | \n",
" 1939.000000 | \n",
" 1939.000000 | \n",
" 1939.000000 | \n",
"
\n",
" \n",
" mean | \n",
" 1443.0 | \n",
" 2.023268e+09 | \n",
" 5.121712 | \n",
" -1.439144 | \n",
" 58.563177 | \n",
"
\n",
" \n",
" std | \n",
" 0.0 | \n",
" 5.373317e+05 | \n",
" 3.262451 | \n",
" 114.311663 | \n",
" 122.156135 | \n",
"
\n",
" \n",
" min | \n",
" 1443.0 | \n",
" 2.022111e+09 | \n",
" 1.000000 | \n",
" -999.000000 | \n",
" -999.000000 | \n",
"
\n",
" \n",
" 25% | \n",
" 1443.0 | \n",
" 2.023042e+09 | \n",
" 3.000000 | \n",
" 6.200000 | \n",
" 59.000000 | \n",
"
\n",
" \n",
" 50% | \n",
" 1443.0 | \n",
" 2.023092e+09 | \n",
" 3.000000 | \n",
" 10.900000 | \n",
" 74.000000 | \n",
"
\n",
" \n",
" 75% | \n",
" 1443.0 | \n",
" 2.024012e+09 | \n",
" 9.000000 | \n",
" 16.600000 | \n",
" 87.000000 | \n",
"
\n",
" \n",
" max | \n",
" 1443.0 | \n",
" 2.024052e+09 | \n",
" 9.000000 | \n",
" 34.300000 | \n",
" 100.000000 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" STATIONS_ID MESS_DATUM QN_4 TT_TER RF_TER\n",
"count 1939.0 1.939000e+03 1939.000000 1939.000000 1939.000000\n",
"mean 1443.0 2.023268e+09 5.121712 -1.439144 58.563177\n",
"std 0.0 5.373317e+05 3.262451 114.311663 122.156135\n",
"min 1443.0 2.022111e+09 1.000000 -999.000000 -999.000000\n",
"25% 1443.0 2.023042e+09 3.000000 6.200000 59.000000\n",
"50% 1443.0 2.023092e+09 3.000000 10.900000 74.000000\n",
"75% 1443.0 2.024012e+09 9.000000 16.600000 87.000000\n",
"max 1443.0 2.024052e+09 9.000000 34.300000 100.000000"
]
},
"execution_count": 208,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"datafile = pathlib.Path() / \"wetterdaten_freiburg_2022_2024.csv\"\n",
"\n",
"data = pd.read_csv(datafile, sep=\";\")\n",
"data.describe()"
]
},
{
"cell_type": "code",
"execution_count": 209,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" STATIONS_ID | \n",
" MESS_DATUM | \n",
" QN_4 | \n",
" TT_TER | \n",
" RF_TER | \n",
"
\n",
" \n",
" \n",
" \n",
" count | \n",
" 1939.0 | \n",
" 1939 | \n",
" 1939.000000 | \n",
" 1939.000000 | \n",
" 1939.000000 | \n",
"
\n",
" \n",
" mean | \n",
" 1443.0 | \n",
" 2023-09-03 09:01:23.548220672 | \n",
" 5.121712 | \n",
" -1.439144 | \n",
" 58.563177 | \n",
"
\n",
" \n",
" min | \n",
" 1443.0 | \n",
" 2022-11-13 06:00:00 | \n",
" 1.000000 | \n",
" -999.000000 | \n",
" -999.000000 | \n",
"
\n",
" \n",
" 25% | \n",
" 1443.0 | \n",
" 2023-04-23 15:00:00 | \n",
" 3.000000 | \n",
" 6.200000 | \n",
" 59.000000 | \n",
"
\n",
" \n",
" 50% | \n",
" 1443.0 | \n",
" 2023-09-16 12:00:00 | \n",
" 3.000000 | \n",
" 10.900000 | \n",
" 74.000000 | \n",
"
\n",
" \n",
" 75% | \n",
" 1443.0 | \n",
" 2024-01-15 15:00:00 | \n",
" 9.000000 | \n",
" 16.600000 | \n",
" 87.000000 | \n",
"
\n",
" \n",
" max | \n",
" 1443.0 | \n",
" 2024-05-15 18:00:00 | \n",
" 9.000000 | \n",
" 34.300000 | \n",
" 100.000000 | \n",
"
\n",
" \n",
" std | \n",
" 0.0 | \n",
" NaN | \n",
" 3.262451 | \n",
" 114.311663 | \n",
" 122.156135 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" STATIONS_ID MESS_DATUM QN_4 TT_TER \\\n",
"count 1939.0 1939 1939.000000 1939.000000 \n",
"mean 1443.0 2023-09-03 09:01:23.548220672 5.121712 -1.439144 \n",
"min 1443.0 2022-11-13 06:00:00 1.000000 -999.000000 \n",
"25% 1443.0 2023-04-23 15:00:00 3.000000 6.200000 \n",
"50% 1443.0 2023-09-16 12:00:00 3.000000 10.900000 \n",
"75% 1443.0 2024-01-15 15:00:00 9.000000 16.600000 \n",
"max 1443.0 2024-05-15 18:00:00 9.000000 34.300000 \n",
"std 0.0 NaN 3.262451 114.311663 \n",
"\n",
" RF_TER \n",
"count 1939.000000 \n",
"mean 58.563177 \n",
"min -999.000000 \n",
"25% 59.000000 \n",
"50% 74.000000 \n",
"75% 87.000000 \n",
"max 100.000000 \n",
"std 122.156135 "
]
},
"execution_count": 209,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data[\"MESS_DATUM\"] = pd.to_datetime(data[\"MESS_DATUM\"], format=\"%Y%m%d%H\")\n",
"data.describe()"
]
},
{
"cell_type": "code",
"execution_count": 210,
"metadata": {},
"outputs": [
{
"data": {
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",
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