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courses/2021 Programmieren in den Geowissenschaften/PiGs Abschlussaufgabe Abgabe Joaquin Gottlebe.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"id": "27d64bad",
"metadata": {
"scrolled": true
},
"source": [
"# 1. Daten Laden"
]
},
{
"cell_type": "markdown",
"id": "c5a51261",
"metadata": {},
"source": [
"# 2. Einladen, Säubern und Darstellen"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "5234b0f3",
"metadata": {},
"outputs": [],
"source": [
"# Module einladen\n",
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from scipy.optimize import curve_fit"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "cc925160",
"metadata": {},
"outputs": [],
"source": [
"# Einladen und Darstellen der Daten in Numpy\n",
"heading = np.loadtxt('monthly_in_situ_co2_mlo.csv', \n",
" skiprows = 54, \n",
" max_rows = 3, \n",
" dtype = str, \n",
" delimiter = ',' )\n",
"data = np.loadtxt('monthly_in_situ_co2_mlo.csv', \n",
" skiprows = 57, \n",
" delimiter = ',')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "3864c746",
"metadata": {},
"outputs": [],
"source": [
"# Säubern der Daten\n",
"data_clean = data[np.all(data != -99.99, axis=1)]"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "6fc0599b",
"metadata": {},
"outputs": [
{
"data": {
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" <th>6</th>\n",
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" <th>8</th>\n",
" <th>9</th>\n",
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" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1958.0</td>\n",
" <td>3.0</td>\n",
" <td>21259.0</td>\n",
" <td>1958.2027</td>\n",
" <td>315.70</td>\n",
" <td>314.43</td>\n",
" <td>316.19</td>\n",
" <td>314.90</td>\n",
" <td>315.70</td>\n",
" <td>314.43</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1958.0</td>\n",
" <td>4.0</td>\n",
" <td>21290.0</td>\n",
" <td>1958.2877</td>\n",
" <td>317.45</td>\n",
" <td>315.16</td>\n",
" <td>317.30</td>\n",
" <td>314.98</td>\n",
" <td>317.45</td>\n",
" <td>315.16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1958.0</td>\n",
" <td>5.0</td>\n",
" <td>21320.0</td>\n",
" <td>1958.3699</td>\n",
" <td>317.51</td>\n",
" <td>314.71</td>\n",
" <td>317.86</td>\n",
" <td>315.06</td>\n",
" <td>317.51</td>\n",
" <td>314.71</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1958.0</td>\n",
" <td>7.0</td>\n",
" <td>21381.0</td>\n",
" <td>1958.5370</td>\n",
" <td>315.86</td>\n",
" <td>315.19</td>\n",
" <td>315.86</td>\n",
" <td>315.22</td>\n",
" <td>315.86</td>\n",
" <td>315.19</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1958.0</td>\n",
" <td>8.0</td>\n",
" <td>21412.0</td>\n",
" <td>1958.6219</td>\n",
" <td>314.93</td>\n",
" <td>316.19</td>\n",
" <td>313.99</td>\n",
" <td>315.29</td>\n",
" <td>314.93</td>\n",
" <td>316.19</td>\n",
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" <tr>\n",
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" <th>749</th>\n",
" <td>2021.0</td>\n",
" <td>1.0</td>\n",
" <td>44211.0</td>\n",
" <td>2021.0411</td>\n",
" <td>415.17</td>\n",
" <td>415.11</td>\n",
" <td>415.24</td>\n",
" <td>415.17</td>\n",
" <td>415.17</td>\n",
" <td>415.11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>750</th>\n",
" <td>2021.0</td>\n",
" <td>2.0</td>\n",
" <td>44242.0</td>\n",
" <td>2021.1260</td>\n",
" <td>416.47</td>\n",
" <td>415.70</td>\n",
" <td>416.13</td>\n",
" <td>415.35</td>\n",
" <td>416.47</td>\n",
" <td>415.70</td>\n",
" </tr>\n",
" <tr>\n",
" <th>751</th>\n",
" <td>2021.0</td>\n",
" <td>3.0</td>\n",
" <td>44270.0</td>\n",
" <td>2021.2027</td>\n",
" <td>417.14</td>\n",
" <td>415.59</td>\n",
" <td>417.06</td>\n",
" <td>415.50</td>\n",
" <td>417.14</td>\n",
" <td>415.59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>752</th>\n",
" <td>2021.0</td>\n",
" <td>4.0</td>\n",
" <td>44301.0</td>\n",
" <td>2021.2877</td>\n",
" <td>418.24</td>\n",
" <td>415.44</td>\n",
" <td>418.48</td>\n",
" <td>415.66</td>\n",
" <td>418.24</td>\n",
" <td>415.44</td>\n",
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" <tr>\n",
" <th>753</th>\n",
" <td>2021.0</td>\n",
" <td>5.0</td>\n",
" <td>44331.0</td>\n",
" <td>2021.3699</td>\n",
" <td>418.92</td>\n",
" <td>415.50</td>\n",
" <td>419.23</td>\n",
" <td>415.81</td>\n",
" <td>418.92</td>\n",
" <td>415.50</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
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"</div>"
],
"text/plain": [
" 0 1 2 3 4 5 6 7 8 \\\n",
"0 1958.0 3.0 21259.0 1958.2027 315.70 314.43 316.19 314.90 315.70 \n",
"1 1958.0 4.0 21290.0 1958.2877 317.45 315.16 317.30 314.98 317.45 \n",
"2 1958.0 5.0 21320.0 1958.3699 317.51 314.71 317.86 315.06 317.51 \n",
"3 1958.0 7.0 21381.0 1958.5370 315.86 315.19 315.86 315.22 315.86 \n",
"4 1958.0 8.0 21412.0 1958.6219 314.93 316.19 313.99 315.29 314.93 \n",
".. ... ... ... ... ... ... ... ... ... \n",
"749 2021.0 1.0 44211.0 2021.0411 415.17 415.11 415.24 415.17 415.17 \n",
"750 2021.0 2.0 44242.0 2021.1260 416.47 415.70 416.13 415.35 416.47 \n",
"751 2021.0 3.0 44270.0 2021.2027 417.14 415.59 417.06 415.50 417.14 \n",
"752 2021.0 4.0 44301.0 2021.2877 418.24 415.44 418.48 415.66 418.24 \n",
"753 2021.0 5.0 44331.0 2021.3699 418.92 415.50 419.23 415.81 418.92 \n",
"\n",
" 9 \n",
"0 314.43 \n",
"1 315.16 \n",
"2 314.71 \n",
"3 315.19 \n",
"4 316.19 \n",
".. ... \n",
"749 415.11 \n",
"750 415.70 \n",
"751 415.59 \n",
"752 415.44 \n",
"753 415.50 \n",
"\n",
"[754 rows x 10 columns]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Darstellen in Pandas \n",
"df = pd.DataFrame(data_clean)\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "bab61207",
"metadata": {},
"outputs": [],
"source": [
"# Achsen definieren\n",
"y_all = data_clean[:,4] # Spalte 4 (CO2 Gehalt)\n",
"x_all = data_clean[:,3] # Spalte 3 (Datum)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "fb363ce4",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7fc652cb48d0>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Plotten\n",
"fix, ax = plt.subplots()\n",
"ax.plot(x_all,y_all, label = 'CO2 ppm per month')\n",
"ax.set_xlabel('Year')\n",
"ax.set_ylabel('CO2 Concentration (ppm)' % data[-1,1]);\n",
"ax.set_title('Mauna Loa Observatory, Hawaii - Montlhy Average Carbon Dioxide Concentration')\n",
"ax.legend()"
]
},
{
"cell_type": "markdown",
"id": "b0790b71",
"metadata": {},
"source": [
"# 3. Data Analysieren"
]
},
{
"cell_type": "markdown",
"id": "9f5a5875",
"metadata": {},
"source": [
"## 3.1 Datenverlauf in einem kürzeren Zeitfenster"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "3b300351",
"metadata": {},
"outputs": [],
"source": [
"# Zeitraum der Daten zuschneiden\n",
"after_1970 = data_clean[data_clean[:, 0] >= 1970] # nach 1970\n",
"data_short = after_1970[after_1970[:, 0] <= 1980] # vor 1980"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "422b30d7",
"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>0</th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>3</th>\n",
" <th>4</th>\n",
" <th>5</th>\n",
" <th>6</th>\n",
" <th>7</th>\n",
" <th>8</th>\n",
" <th>9</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1970.0</td>\n",
" <td>1.0</td>\n",
" <td>25583.0</td>\n",
" <td>1970.0411</td>\n",
" <td>325.06</td>\n",
" <td>325.02</td>\n",
" <td>325.30</td>\n",
" <td>325.24</td>\n",
" <td>325.06</td>\n",
" <td>325.02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1970.0</td>\n",
" <td>2.0</td>\n",
" <td>25614.0</td>\n",
" <td>1970.1260</td>\n",
" <td>325.98</td>\n",
" <td>325.33</td>\n",
" <td>325.99</td>\n",
" <td>325.32</td>\n",
" <td>325.98</td>\n",
" <td>325.33</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1970.0</td>\n",
" <td>3.0</td>\n",
" <td>25642.0</td>\n",
" <td>1970.2027</td>\n",
" <td>326.93</td>\n",
" <td>325.60</td>\n",
" <td>326.74</td>\n",
" <td>325.40</td>\n",
" <td>326.93</td>\n",
" <td>325.60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1970.0</td>\n",
" <td>4.0</td>\n",
" <td>25673.0</td>\n",
" <td>1970.2877</td>\n",
" <td>328.13</td>\n",
" <td>325.74</td>\n",
" <td>327.89</td>\n",
" <td>325.48</td>\n",
" <td>328.13</td>\n",
" <td>325.74</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1970.0</td>\n",
" <td>5.0</td>\n",
" <td>25703.0</td>\n",
" <td>1970.3699</td>\n",
" <td>328.08</td>\n",
" <td>325.16</td>\n",
" <td>328.47</td>\n",
" <td>325.55</td>\n",
" <td>328.08</td>\n",
" <td>325.16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>127</th>\n",
" <td>1980.0</td>\n",
" <td>8.0</td>\n",
" <td>29448.0</td>\n",
" <td>1980.6230</td>\n",
" <td>337.61</td>\n",
" <td>339.00</td>\n",
" <td>337.49</td>\n",
" <td>338.91</td>\n",
" <td>337.61</td>\n",
" <td>339.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>128</th>\n",
" <td>1980.0</td>\n",
" <td>9.0</td>\n",
" <td>29479.0</td>\n",
" <td>1980.7077</td>\n",
" <td>335.90</td>\n",
" <td>339.01</td>\n",
" <td>335.90</td>\n",
" <td>339.04</td>\n",
" <td>335.90</td>\n",
" <td>339.01</td>\n",
" </tr>\n",
" <tr>\n",
" <th>129</th>\n",
" <td>1980.0</td>\n",
" <td>10.0</td>\n",
" <td>29509.0</td>\n",
" <td>1980.7896</td>\n",
" <td>336.03</td>\n",
" <td>339.24</td>\n",
" <td>335.95</td>\n",
" <td>339.15</td>\n",
" <td>336.03</td>\n",
" <td>339.24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>130</th>\n",
" <td>1980.0</td>\n",
" <td>11.0</td>\n",
" <td>29540.0</td>\n",
" <td>1980.8743</td>\n",
" <td>337.12</td>\n",
" <td>339.13</td>\n",
" <td>337.27</td>\n",
" <td>339.26</td>\n",
" <td>337.12</td>\n",
" <td>339.13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>131</th>\n",
" <td>1980.0</td>\n",
" <td>12.0</td>\n",
" <td>29570.0</td>\n",
" <td>1980.9563</td>\n",
" <td>338.23</td>\n",
" <td>339.06</td>\n",
" <td>338.55</td>\n",
" <td>339.36</td>\n",
" <td>338.23</td>\n",
" <td>339.06</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>132 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" 0 1 2 3 4 5 6 7 8 \\\n",
"0 1970.0 1.0 25583.0 1970.0411 325.06 325.02 325.30 325.24 325.06 \n",
"1 1970.0 2.0 25614.0 1970.1260 325.98 325.33 325.99 325.32 325.98 \n",
"2 1970.0 3.0 25642.0 1970.2027 326.93 325.60 326.74 325.40 326.93 \n",
"3 1970.0 4.0 25673.0 1970.2877 328.13 325.74 327.89 325.48 328.13 \n",
"4 1970.0 5.0 25703.0 1970.3699 328.08 325.16 328.47 325.55 328.08 \n",
".. ... ... ... ... ... ... ... ... ... \n",
"127 1980.0 8.0 29448.0 1980.6230 337.61 339.00 337.49 338.91 337.61 \n",
"128 1980.0 9.0 29479.0 1980.7077 335.90 339.01 335.90 339.04 335.90 \n",
"129 1980.0 10.0 29509.0 1980.7896 336.03 339.24 335.95 339.15 336.03 \n",
"130 1980.0 11.0 29540.0 1980.8743 337.12 339.13 337.27 339.26 337.12 \n",
"131 1980.0 12.0 29570.0 1980.9563 338.23 339.06 338.55 339.36 338.23 \n",
"\n",
" 9 \n",
"0 325.02 \n",
"1 325.33 \n",
"2 325.60 \n",
"3 325.74 \n",
"4 325.16 \n",
".. ... \n",
"127 339.00 \n",
"128 339.01 \n",
"129 339.24 \n",
"130 339.13 \n",
"131 339.06 \n",
"\n",
"[132 rows x 10 columns]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Darstellen in Pandas \n",
"df_short = pd.DataFrame(data_short)\n",
"df_short"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "31b189ed",
"metadata": {},
"outputs": [],
"source": [
"# Achsen definieren\n",
"y_short = data_short[:,4]\n",
"x_short = data_short[:,3]"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "49928d2c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7fc652bc1b10>"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Plotten des Zeitraums\n",
"fix, ax = plt.subplots()\n",
"ax.plot(x_short,y_short, label = 'CO2 ppm per month')\n",
"ax.set_xlabel('Date')\n",
"ax.set_ylabel('CO2 Concentration (ppm)' % data[-1,1]);\n",
"ax.set_title('Mauna Loa Observatory, Hawaii - Montlhy Average Carbon Dioxide Concentration')\n",
"ax.legend()"
]
},
{
"cell_type": "markdown",
"id": "fcf40bd7",
"metadata": {},
"source": [
"## 3.2 Datenanpassung"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "eb2ffef6",
"metadata": {},
"outputs": [],
"source": [
"# Funktion Definieren\n",
"def func_linear (x, a, f, m, c):\n",
" return (a * np.sin(x * f)) + (m * x + c)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "b768fdf0",
"metadata": {},
"outputs": [],
"source": [
"# Data fit\n",
"popt_short, pcov_short = curve_fit(func_linear, x_short, y_short, p0=[10, 3.7, 5, 5])"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "e546d2fc",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7fc652b47790>"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"# Plotten der Daten & Fit des Zeitraums\n",
"fig, ax = plt.subplots()\n",
"ax.plot(x_short, y_short, label = 'CO2 ppm per month') \n",
"ax.plot(x_short, func_linear(x_short, popt_short[0], popt_short[1], popt_short[2], popt_short[3]), '.-r', label = 'data_fit')\n",
"ax.set_xlabel('Time')\n",
"ax.set_ylabel('CO2 Concentration (ppm)' % data[-1,1])\n",
"ax.set_title('Mauna Loa Observatory, Hawaii - Montlhy Average Carbon Dioxide Concentration')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"id": "0e663952",
"metadata": {},
"source": [
"## 3.3 Fitbereich erweitern"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "229031f6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7fc652ac6b50>"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"# Plotten\n",
"fig, ax = plt.subplots()\n",
"ax.plot(x_all, y_all, label = 'CO2 ppm per month') \n",
"ax.plot(x_all, func_linear(x_all, popt_short[0], popt_short[1], popt_short[2], popt_short[3]), '.-r', label = 'data_fit') # x_all (Ganzer Zeitraum)\n",
"ax.set_xlabel('Time')\n",
"ax.set_ylabel('CO2 Concentration (ppm)' % data[-1,1])\n",
"ax.set_title('Mauna Loa Observatory, Hawaii - Montlhy Average Carbon Dioxide Concentration')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"id": "833f8f8b",
"metadata": {},
"source": [
"## 3.4 Zweite Datenanpassung"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "3819828f",
"metadata": {},
"outputs": [],
"source": [
"# Funktion definieren\n",
"def func_exp(x, b, xo, p, c):\n",
" return b * ((x - xo)**p) + c"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "f034b658",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/tljh/user/lib/python3.7/site-packages/ipykernel_launcher.py:3: RuntimeWarning: invalid value encountered in power\n",
" This is separate from the ipykernel package so we can avoid doing imports until\n"
]
}
],
"source": [
"# Curve Fit\n",
"popt_all, pcov_all = curve_fit(func_exp, x_all, y_all, p0 = [5,0.1,1.5,5])"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "3a63b98a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7fc652a57610>"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"# Plot\n",
"fig, ax = plt.subplots()\n",
"ax.plot(x_all, y_all, label = 'CO2 ppm per month') \n",
"ax.plot(x_all, func_exp(x_all, popt_all[0], popt_all[1], popt_all[2], popt_all[3]), '.-r', label = 'data_fit')\n",
"ax.set_xlabel('Time')\n",
"ax.set_ylabel('CO2 Concentration (ppm)' % data[-1,1])\n",
"ax.set_title('Mauna Loa Observatory, Hawaii - Montlhy Average Carbon Dioxide Concentration')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"id": "6201589c",
"metadata": {},
"source": [
"## 3.5 Anpassung Kombinieren"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "0a637648",
"metadata": {},
"outputs": [],
"source": [
"# Funktion definieren\n",
"def func_exp_tri(x, b, xo, p, c, a, f):\n",
" return (b * ((x - xo)**p) + c) + (a * np.sin(x * f))"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "5f9cd020",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/tljh/user/lib/python3.7/site-packages/ipykernel_launcher.py:3: RuntimeWarning: invalid value encountered in power\n",
" This is separate from the ipykernel package so we can avoid doing imports until\n"
]
}
],
"source": [
"# Curve Fit\n",
"popt_all, pcov_all = curve_fit(func_exp_tri, x_all, y_all, p0 = [5,0.1,1.5,5,10,3.7])"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "9cce2852",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7fc6529d8e50>"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"# Plot\n",
"fig, ax = plt.subplots()\n",
"ax.plot(x_all, y_all, label = 'CO2 ppm per month') \n",
"ax.plot(x_all, func_exp_tri(x_all, popt_all[0], popt_all[1], popt_all[2], popt_all[3], popt_all[4], popt_all[5]), '.-r', label = 'data_fit')\n",
"ax.set_xlabel('Time')\n",
"ax.set_ylabel('CO2 Concentration (ppm)' % data[-1,1])\n",
"ax.set_title('Mauna Loa Observatory, Hawaii - Montlhy Average Carbon Dioxide Concentration')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"id": "b2193ad0",
"metadata": {},
"source": [
"## 3.6 Ausgabe"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "0c17c30b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"f(x) = (0.24 * ((x - 1958.2)**1.44) + 316.15) + (-0.06 * np.sin(x * 3.68))\n"
]
}
],
"source": [
"# Ausgabe der Funktion\n",
"popt_all_rounded = np.round(popt_all, decimals = 2)\n",
"print('f(x) = ('+str(popt_all_rounded[0])+' * ((x - '+str(popt_all_rounded[1])+')**'+str(popt_all_rounded[2])+') + '+str(popt_all_rounded[3])+') + ('+str(popt_all_rounded[4])+' * np.sin(x * '+str(popt_all_rounded[5])+'))')"
]
},
{
"cell_type": "markdown",
"id": "7ef7c66d",
"metadata": {},
"source": [
"# 4. Daten Extrapolieren"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "825c90c2",
"metadata": {},
"outputs": [],
"source": [
"# Neuer Zeitraum\n",
"x_future_int = np.arange(2000,2101)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "bf97ec02",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7fc65295d1d0>"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"# Plot\n",
"fig, ax = plt.subplots()\n",
"ax.plot(x_future_int, func_exp_tri(x_future_int, popt_all[0], popt_all[1], popt_all[2], popt_all[3], popt_all[4], popt_all[5]), '.-r', label = 'data_fit')\n",
"ax.set_xlabel('Date')\n",
"ax.set_ylabel('CO2 Concentration (ppm)' % data[-1,1])\n",
"ax.set_title('Mauna Loa Observatory, Hawaii - Extrapolation - Montlhy Average Carbon Dioxide Concentration')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"id": "37ff9b03",
"metadata": {},
"source": [
"# 5. Klimaszenarien"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "df00e81e",
"metadata": {},
"outputs": [],
"source": [
"# Datenstruktur\n",
"ipcc_year = [2000,2005,2010,2020,2030,2040,2050,2060,2070,2080,2090,2100]\n",
"ipcc_rcp26 = [368.9,378.8,389.3,412.1,430.8,440.2,442.7,441.7,437.5,431.6,426.0,420.9]\n",
"ipcc_rcp45 = [368.9,378.8,389.1,411.1,435.0,460.8,486.5,508.9,524.3,531.1,533.7,538.4]\n",
"ipcc_rcp60 = [368.9,378.8,389.1,409.4,428.9,450.7,477.7,510.6,549.8,594.3,635.6,669.7]\n",
"ipcc_rcp85 = [368.9,378.8,389.3,415.8,448.8,489.4,540.5,603.5,677.1,758.2,844.8,935.9]"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "7c3328c4",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7fc6528cf690>"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"# Plot\n",
"fig, ax = plt.subplots()\n",
"ax.scatter(ipcc_year, ipcc_rcp26, c = 'b', label = 'RCP26')\n",
"ax.scatter(ipcc_year, ipcc_rcp45, c = 'g', label = 'RCP45')\n",
"ax.scatter(ipcc_year, ipcc_rcp60, c = 'r', label = 'RCP60')\n",
"ax.scatter(ipcc_year, ipcc_rcp85, c = 'c', label = 'RCP85')\n",
"ax.set_xlabel('Time')\n",
"ax.set_ylabel('CO2 Concentration (ppm)')\n",
"ax.set_title('5. IPCC Bericht - Abundances of the Well-Mixed Greenhouse Gases')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"id": "ed3fa2c0",
"metadata": {},
"source": [
"# 6. Business as usual vs. Klimamodelle"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "832d75a5",
"metadata": {
"scrolled": false
},
"outputs": [],
"source": [
"# Jahre und Monate für Rechnung in Dezimalzahlen umwandeln\n",
"year_month_dec = []\n",
"sum = 2000\n",
"for i in range (1,1201):\n",
" sum = sum + (1/12)\n",
" year_month_dec.append(np.round(sum, decimals = 2)) \n",
" \n"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "0d06eeff",
"metadata": {},
"outputs": [],
"source": [
"# Interpolation\n",
"rcp26_interp = np.interp(year_month_dec,ipcc_year,ipcc_rcp26,)\n",
"rcp45_interp = np.interp(year_month_dec,ipcc_year,ipcc_rcp45,)\n",
"rcp60_interp = np.interp(year_month_dec,ipcc_year,ipcc_rcp60,)\n",
"rcp85_interp = np.interp(year_month_dec,ipcc_year,ipcc_rcp85,)"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "051e9219",
"metadata": {},
"outputs": [],
"source": [
"# Neue X-Achse mit Korrekter Beschriftung\n",
"year_month = []\n",
"for i in range(2000,2100):\n",
" for j in range(1,13):\n",
" date = str(i) + '_' + str(j)\n",
" year_month.append(date)"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "a6ca1437",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7fc652820050>"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"# Plot\n",
"fig, ax = plt.subplots()\n",
"ax.plot(year_month, rcp26_interp, c = 'b', label = 'RCP26')\n",
"ax.plot(year_month, rcp45_interp, c = 'g', label = 'RCP45')\n",
"ax.plot(year_month, rcp60_interp, c = 'r', label = 'RCP60')\n",
"ax.plot(year_month, rcp85_interp, c = 'c', label = 'RCP85')\n",
"ax.plot(year_month, func_exp_tri(np.round(year_month_dec, decimals = 0), popt_all[0], popt_all[1], popt_all[2], popt_all[3], popt_all[4], popt_all[5]), 'k', label = 'data_fit')\n",
"plt.xticks(np.arange(0, 1200, step=120))\n",
"plt.xticks(rotation = 'vertical')\n",
"ax.set_xlabel('Time')\n",
"ax.set_ylabel('CO2 Concentration (ppm)')\n",
"ax.set_title('5. IPCC Bericht - Abundances of the Well-Mixed Greenhouse Gases')\n",
"plt.legend()\n",
"\n",
"# Kann etwas länger laden"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2247db9b",
"metadata": {},
"outputs": [],
"source": [
"# RCP26 und RCP85 zeigen starke Unterschiede in den kommenden Jahren. Die selbst erstellte Projektion entspricht am ehesten RCP45. Hoffentlich wird es eher RCP26 :I"
]
}
],
"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": "3.7.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}