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ium_s451499/lab_1/zadanie_lab_1.ipynb
s451499 110548dbf5 zadanie_lab_1
2024-03-20 03:57:25 +01:00

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{
"cells": [
{
"cell_type": "markdown",
"id": "a6122573",
"metadata": {},
"source": [
"# Zadanie LAB 1"
]
},
{
"cell_type": "markdown",
"id": "43e77720",
"metadata": {},
"source": [
"# 1.Pobranie danych ze zbioru"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "fbd95f32",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"bitcoin-historical-data-jan-2018-jan-2022-per-min.zip: Skipping, found more recently modified local copy (use --force to force download)\n"
]
}
],
"source": [
"!kaggle datasets download -d bunnyjr/bitcoin-historical-data-jan-2018-jan-2022-per-min -p ./data"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "98e71d52",
"metadata": {},
"outputs": [],
"source": [
"!cd data/"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "0cfc8130",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"'unzip' is not recognized as an internal or external command,\n",
"operable program or batch file.\n"
]
}
],
"source": [
"!unzip -o bitcoin-historical-data-jan-2018-jan-2022-per-min.zip"
]
},
{
"cell_type": "markdown",
"id": "87fe5a60",
"metadata": {},
"source": [
"# 2 Podział na podzbiory"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "8f6fa72a",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"\n",
"btc18 = pd.read_csv('data/BTC2018.csv')\n",
"btc19 = pd.read_csv('data/BTC2019.csv')\n",
"btc20 = pd.read_csv('data/BTC2020.csv')\n",
"btc21 = pd.read_csv('data/BTC2021.csv')\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "a4675c24",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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" vertical-align: middle;\n",
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"\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>unix</th>\n",
" <th>date</th>\n",
" <th>symbol</th>\n",
" <th>open</th>\n",
" <th>high</th>\n",
" <th>low</th>\n",
" <th>close</th>\n",
" <th>Volume BTC</th>\n",
" <th>Volume USD</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1546300740</td>\n",
" <td>2018-12-31 23:59:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>3689.26</td>\n",
" <td>3693.30</td>\n",
" <td>3689.26</td>\n",
" <td>3693.30</td>\n",
" <td>9.838855</td>\n",
" <td>36337.841473</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1546300680</td>\n",
" <td>2018-12-31 23:58:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>3689.26</td>\n",
" <td>3691.35</td>\n",
" <td>3689.26</td>\n",
" <td>3691.35</td>\n",
" <td>0.560000</td>\n",
" <td>2067.156000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1546300620</td>\n",
" <td>2018-12-31 23:57:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>3688.83</td>\n",
" <td>3689.26</td>\n",
" <td>3688.83</td>\n",
" <td>3689.26</td>\n",
" <td>0.560833</td>\n",
" <td>2069.059602</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1546300560</td>\n",
" <td>2018-12-31 23:56:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>3687.87</td>\n",
" <td>3689.65</td>\n",
" <td>3686.92</td>\n",
" <td>3686.92</td>\n",
" <td>7.610240</td>\n",
" <td>28058.346208</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1546300500</td>\n",
" <td>2018-12-31 23:55:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>3688.28</td>\n",
" <td>3688.85</td>\n",
" <td>3685.00</td>\n",
" <td>3688.85</td>\n",
" <td>7.665703</td>\n",
" <td>28277.629729</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" unix date symbol open high low \\\n",
"0 1546300740 2018-12-31 23:59:00 BTC/USD 3689.26 3693.30 3689.26 \n",
"1 1546300680 2018-12-31 23:58:00 BTC/USD 3689.26 3691.35 3689.26 \n",
"2 1546300620 2018-12-31 23:57:00 BTC/USD 3688.83 3689.26 3688.83 \n",
"3 1546300560 2018-12-31 23:56:00 BTC/USD 3687.87 3689.65 3686.92 \n",
"4 1546300500 2018-12-31 23:55:00 BTC/USD 3688.28 3688.85 3685.00 \n",
"\n",
" close Volume BTC Volume USD \n",
"0 3693.30 9.838855 36337.841473 \n",
"1 3691.35 0.560000 2067.156000 \n",
"2 3689.26 0.560833 2069.059602 \n",
"3 3686.92 7.610240 28058.346208 \n",
"4 3688.85 7.665703 28277.629729 "
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"btc18.head()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "a0be28b5",
"metadata": {},
"outputs": [
{
"data": {
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" <th>unix</th>\n",
" <th>date</th>\n",
" <th>symbol</th>\n",
" <th>open</th>\n",
" <th>high</th>\n",
" <th>low</th>\n",
" <th>close</th>\n",
" <th>Volume BTC</th>\n",
" <th>Volume USD</th>\n",
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" <tr>\n",
" <th>0</th>\n",
" <td>1577836740</td>\n",
" <td>2019-12-31 23:59:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>7167.30</td>\n",
" <td>7171.22</td>\n",
" <td>7167.30</td>\n",
" <td>7168.36</td>\n",
" <td>0.191448</td>\n",
" <td>1372.366393</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1577836680</td>\n",
" <td>2019-12-31 23:58:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>7166.89</td>\n",
" <td>7167.30</td>\n",
" <td>7161.99</td>\n",
" <td>7167.30</td>\n",
" <td>0.568868</td>\n",
" <td>4077.245538</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1577836620</td>\n",
" <td>2019-12-31 23:57:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>7164.22</td>\n",
" <td>7170.80</td>\n",
" <td>7161.65</td>\n",
" <td>7166.89</td>\n",
" <td>3.959440</td>\n",
" <td>28376.874525</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1577836560</td>\n",
" <td>2019-12-31 23:56:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>7182.49</td>\n",
" <td>7182.49</td>\n",
" <td>7170.20</td>\n",
" <td>7170.20</td>\n",
" <td>6.248892</td>\n",
" <td>44805.802550</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1577836500</td>\n",
" <td>2019-12-31 23:55:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>7175.69</td>\n",
" <td>7176.68</td>\n",
" <td>7175.69</td>\n",
" <td>7176.68</td>\n",
" <td>0.016877</td>\n",
" <td>121.122623</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" unix date symbol open high low \\\n",
"0 1577836740 2019-12-31 23:59:00 BTC/USD 7167.30 7171.22 7167.30 \n",
"1 1577836680 2019-12-31 23:58:00 BTC/USD 7166.89 7167.30 7161.99 \n",
"2 1577836620 2019-12-31 23:57:00 BTC/USD 7164.22 7170.80 7161.65 \n",
"3 1577836560 2019-12-31 23:56:00 BTC/USD 7182.49 7182.49 7170.20 \n",
"4 1577836500 2019-12-31 23:55:00 BTC/USD 7175.69 7176.68 7175.69 \n",
"\n",
" close Volume BTC Volume USD \n",
"0 7168.36 0.191448 1372.366393 \n",
"1 7167.30 0.568868 4077.245538 \n",
"2 7166.89 3.959440 28376.874525 \n",
"3 7170.20 6.248892 44805.802550 \n",
"4 7176.68 0.016877 121.122623 "
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"btc19.head()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "b4304f0a",
"metadata": {},
"outputs": [
{
"data": {
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" <th>date</th>\n",
" <th>symbol</th>\n",
" <th>open</th>\n",
" <th>high</th>\n",
" <th>low</th>\n",
" <th>close</th>\n",
" <th>Volume BTC</th>\n",
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" <th>0</th>\n",
" <td>1609459140</td>\n",
" <td>2020-12-31 23:59:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>28982.44</td>\n",
" <td>29024.59</td>\n",
" <td>28969.83</td>\n",
" <td>28992.79</td>\n",
" <td>5.897679</td>\n",
" <td>170990.182941</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1609459080</td>\n",
" <td>2020-12-31 23:58:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>29044.79</td>\n",
" <td>29048.62</td>\n",
" <td>29000.12</td>\n",
" <td>29000.12</td>\n",
" <td>20.362289</td>\n",
" <td>590508.837815</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1609459020</td>\n",
" <td>2020-12-31 23:57:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>29039.53</td>\n",
" <td>29048.63</td>\n",
" <td>29023.26</td>\n",
" <td>29044.79</td>\n",
" <td>14.503728</td>\n",
" <td>421257.721488</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1609458960</td>\n",
" <td>2020-12-31 23:56:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>29052.02</td>\n",
" <td>29059.42</td>\n",
" <td>29039.28</td>\n",
" <td>29039.53</td>\n",
" <td>2.707583</td>\n",
" <td>78626.925850</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1609458900</td>\n",
" <td>2020-12-31 23:55:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>29036.10</td>\n",
" <td>29052.02</td>\n",
" <td>29025.78</td>\n",
" <td>29052.02</td>\n",
" <td>7.631439</td>\n",
" <td>221708.705383</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" unix date symbol open high low \\\n",
"0 1609459140 2020-12-31 23:59:00 BTC/USD 28982.44 29024.59 28969.83 \n",
"1 1609459080 2020-12-31 23:58:00 BTC/USD 29044.79 29048.62 29000.12 \n",
"2 1609459020 2020-12-31 23:57:00 BTC/USD 29039.53 29048.63 29023.26 \n",
"3 1609458960 2020-12-31 23:56:00 BTC/USD 29052.02 29059.42 29039.28 \n",
"4 1609458900 2020-12-31 23:55:00 BTC/USD 29036.10 29052.02 29025.78 \n",
"\n",
" close Volume BTC Volume USD \n",
"0 28992.79 5.897679 170990.182941 \n",
"1 29000.12 20.362289 590508.837815 \n",
"2 29044.79 14.503728 421257.721488 \n",
"3 29039.53 2.707583 78626.925850 \n",
"4 29052.02 7.631439 221708.705383 "
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"btc20.head()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "1ac05c7d",
"metadata": {},
"outputs": [
{
"data": {
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" <th>symbol</th>\n",
" <th>open</th>\n",
" <th>high</th>\n",
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" <th>Volume BTC</th>\n",
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" <th>0</th>\n",
" <td>1609459260</td>\n",
" <td>1/1/2021 0:01</td>\n",
" <td>BTC/USD</td>\n",
" <td>29007.31</td>\n",
" <td>29086.90</td>\n",
" <td>29007.31</td>\n",
" <td>29083.47</td>\n",
" <td>14.561951</td>\n",
" <td>423512.06040</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1609459320</td>\n",
" <td>1/1/2021 0:02</td>\n",
" <td>BTC/USD</td>\n",
" <td>29069.80</td>\n",
" <td>29073.02</td>\n",
" <td>29028.14</td>\n",
" <td>29035.89</td>\n",
" <td>3.030301</td>\n",
" <td>87987.49928</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1609459380</td>\n",
" <td>1/1/2021 0:03</td>\n",
" <td>BTC/USD</td>\n",
" <td>29037.68</td>\n",
" <td>29069.39</td>\n",
" <td>29019.00</td>\n",
" <td>29048.13</td>\n",
" <td>2.189621</td>\n",
" <td>63604.38239</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1609459440</td>\n",
" <td>1/1/2021 0:04</td>\n",
" <td>BTC/USD</td>\n",
" <td>29048.13</td>\n",
" <td>29057.73</td>\n",
" <td>29035.61</td>\n",
" <td>29045.19</td>\n",
" <td>1.446538</td>\n",
" <td>42014.95943</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1609459500</td>\n",
" <td>1/1/2021 0:05</td>\n",
" <td>BTC/USD</td>\n",
" <td>29021.86</td>\n",
" <td>29023.38</td>\n",
" <td>28982.33</td>\n",
" <td>28999.50</td>\n",
" <td>1.062360</td>\n",
" <td>30807.89925</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" unix date symbol open high low close \\\n",
"0 1609459260 1/1/2021 0:01 BTC/USD 29007.31 29086.90 29007.31 29083.47 \n",
"1 1609459320 1/1/2021 0:02 BTC/USD 29069.80 29073.02 29028.14 29035.89 \n",
"2 1609459380 1/1/2021 0:03 BTC/USD 29037.68 29069.39 29019.00 29048.13 \n",
"3 1609459440 1/1/2021 0:04 BTC/USD 29048.13 29057.73 29035.61 29045.19 \n",
"4 1609459500 1/1/2021 0:05 BTC/USD 29021.86 29023.38 28982.33 28999.50 \n",
"\n",
" Volume BTC Volume USD \n",
"0 14.561951 423512.06040 \n",
"1 3.030301 87987.49928 \n",
"2 2.189621 63604.38239 \n",
"3 1.446538 42014.95943 \n",
"4 1.062360 30807.89925 "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"btc21.head()"
]
},
{
"cell_type": "markdown",
"id": "22194b16",
"metadata": {},
"source": [
"# Normalizacja daty i podział daty na osobne pola"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "16678aba",
"metadata": {},
"outputs": [
{
"data": {
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" <th>symbol</th>\n",
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" <th>high</th>\n",
" <th>low</th>\n",
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" <tr>\n",
" <th>0</th>\n",
" <td>1609459260</td>\n",
" <td>2021-01-01 00:01:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>29007.31</td>\n",
" <td>29086.90</td>\n",
" <td>29007.31</td>\n",
" <td>29083.47</td>\n",
" <td>14.561951</td>\n",
" <td>423512.06040</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1609459320</td>\n",
" <td>2021-01-01 00:02:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>29069.80</td>\n",
" <td>29073.02</td>\n",
" <td>29028.14</td>\n",
" <td>29035.89</td>\n",
" <td>3.030301</td>\n",
" <td>87987.49928</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1609459380</td>\n",
" <td>2021-01-01 00:03:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>29037.68</td>\n",
" <td>29069.39</td>\n",
" <td>29019.00</td>\n",
" <td>29048.13</td>\n",
" <td>2.189621</td>\n",
" <td>63604.38239</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1609459440</td>\n",
" <td>2021-01-01 00:04:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>29048.13</td>\n",
" <td>29057.73</td>\n",
" <td>29035.61</td>\n",
" <td>29045.19</td>\n",
" <td>1.446538</td>\n",
" <td>42014.95943</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1609459500</td>\n",
" <td>2021-01-01 00:05:00</td>\n",
" <td>BTC/USD</td>\n",
" <td>29021.86</td>\n",
" <td>29023.38</td>\n",
" <td>28982.33</td>\n",
" <td>28999.50</td>\n",
" <td>1.062360</td>\n",
" <td>30807.89925</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" unix date symbol open high low \\\n",
"0 1609459260 2021-01-01 00:01:00 BTC/USD 29007.31 29086.90 29007.31 \n",
"1 1609459320 2021-01-01 00:02:00 BTC/USD 29069.80 29073.02 29028.14 \n",
"2 1609459380 2021-01-01 00:03:00 BTC/USD 29037.68 29069.39 29019.00 \n",
"3 1609459440 2021-01-01 00:04:00 BTC/USD 29048.13 29057.73 29035.61 \n",
"4 1609459500 2021-01-01 00:05:00 BTC/USD 29021.86 29023.38 28982.33 \n",
"\n",
" close Volume BTC Volume USD \n",
"0 29083.47 14.561951 423512.06040 \n",
"1 29035.89 3.030301 87987.49928 \n",
"2 29048.13 2.189621 63604.38239 \n",
"3 29045.19 1.446538 42014.95943 \n",
"4 28999.50 1.062360 30807.89925 "
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#btc21 normalizacja daty\n",
"btc21.date = pd.to_datetime(btc21['date'], format='%m/%d/%Y %H:%M')\n",
"btc21.date = btc21['date'].dt.strftime('%Y-%m-%d %H:%M:%S')\n",
"btc21.head()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "b16a5f3d",
"metadata": {},
"outputs": [
{
"data": {
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"\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>unix</th>\n",
" <th>date</th>\n",
" <th>symbol</th>\n",
" <th>open</th>\n",
" <th>high</th>\n",
" <th>low</th>\n",
" <th>close</th>\n",
" <th>Volume BTC</th>\n",
" <th>Volume USD</th>\n",
" <th>hour</th>\n",
" <th>year</th>\n",
" <th>month</th>\n",
" <th>day</th>\n",
" <th>month of year</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1546300740</td>\n",
" <td>2018-12-31</td>\n",
" <td>BTC/USD</td>\n",
" <td>3689.26</td>\n",
" <td>3693.30</td>\n",
" <td>3689.26</td>\n",
" <td>3693.30</td>\n",
" <td>9.838855</td>\n",
" <td>36337.841473</td>\n",
" <td>23:59:00</td>\n",
" <td>2018</td>\n",
" <td>12</td>\n",
" <td>31</td>\n",
" <td>2018-12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1546300680</td>\n",
" <td>2018-12-31</td>\n",
" <td>BTC/USD</td>\n",
" <td>3689.26</td>\n",
" <td>3691.35</td>\n",
" <td>3689.26</td>\n",
" <td>3691.35</td>\n",
" <td>0.560000</td>\n",
" <td>2067.156000</td>\n",
" <td>23:58:00</td>\n",
" <td>2018</td>\n",
" <td>12</td>\n",
" <td>31</td>\n",
" <td>2018-12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1546300620</td>\n",
" <td>2018-12-31</td>\n",
" <td>BTC/USD</td>\n",
" <td>3688.83</td>\n",
" <td>3689.26</td>\n",
" <td>3688.83</td>\n",
" <td>3689.26</td>\n",
" <td>0.560833</td>\n",
" <td>2069.059602</td>\n",
" <td>23:57:00</td>\n",
" <td>2018</td>\n",
" <td>12</td>\n",
" <td>31</td>\n",
" <td>2018-12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1546300560</td>\n",
" <td>2018-12-31</td>\n",
" <td>BTC/USD</td>\n",
" <td>3687.87</td>\n",
" <td>3689.65</td>\n",
" <td>3686.92</td>\n",
" <td>3686.92</td>\n",
" <td>7.610240</td>\n",
" <td>28058.346208</td>\n",
" <td>23:56:00</td>\n",
" <td>2018</td>\n",
" <td>12</td>\n",
" <td>31</td>\n",
" <td>2018-12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1546300500</td>\n",
" <td>2018-12-31</td>\n",
" <td>BTC/USD</td>\n",
" <td>3688.28</td>\n",
" <td>3688.85</td>\n",
" <td>3685.00</td>\n",
" <td>3688.85</td>\n",
" <td>7.665703</td>\n",
" <td>28277.629729</td>\n",
" <td>23:55:00</td>\n",
" <td>2018</td>\n",
" <td>12</td>\n",
" <td>31</td>\n",
" <td>2018-12</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",
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" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2149697</th>\n",
" <td>1646105880</td>\n",
" <td>2022-03-01</td>\n",
" <td>BTC/USD</td>\n",
" <td>43077.82</td>\n",
" <td>43077.82</td>\n",
" <td>43049.46</td>\n",
" <td>43049.46</td>\n",
" <td>0.022210</td>\n",
" <td>956.143143</td>\n",
" <td>03:38:00</td>\n",
" <td>2022</td>\n",
" <td>03</td>\n",
" <td>01</td>\n",
" <td>2022-03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2149698</th>\n",
" <td>1646105940</td>\n",
" <td>2022-03-01</td>\n",
" <td>BTC/USD</td>\n",
" <td>43035.16</td>\n",
" <td>43035.16</td>\n",
" <td>42999.44</td>\n",
" <td>42999.44</td>\n",
" <td>0.820950</td>\n",
" <td>35300.390270</td>\n",
" <td>03:39:00</td>\n",
" <td>2022</td>\n",
" <td>03</td>\n",
" <td>01</td>\n",
" <td>2022-03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2149699</th>\n",
" <td>1646106000</td>\n",
" <td>2022-03-01</td>\n",
" <td>BTC/USD</td>\n",
" <td>43022.24</td>\n",
" <td>43022.24</td>\n",
" <td>43016.03</td>\n",
" <td>43016.03</td>\n",
" <td>0.009230</td>\n",
" <td>397.037957</td>\n",
" <td>03:40:00</td>\n",
" <td>2022</td>\n",
" <td>03</td>\n",
" <td>01</td>\n",
" <td>2022-03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2149700</th>\n",
" <td>1646106060</td>\n",
" <td>2022-03-01</td>\n",
" <td>BTC/USD</td>\n",
" <td>43018.23</td>\n",
" <td>43046.59</td>\n",
" <td>43018.23</td>\n",
" <td>43046.58</td>\n",
" <td>0.142977</td>\n",
" <td>6154.673021</td>\n",
" <td>03:41:00</td>\n",
" <td>2022</td>\n",
" <td>03</td>\n",
" <td>01</td>\n",
" <td>2022-03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2149701</th>\n",
" <td>1646106180</td>\n",
" <td>2022-03-01</td>\n",
" <td>BTC/USD</td>\n",
" <td>43046.58</td>\n",
" <td>43046.58</td>\n",
" <td>43046.58</td>\n",
" <td>43046.58</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>03:43:00</td>\n",
" <td>2022</td>\n",
" <td>03</td>\n",
" <td>01</td>\n",
" <td>2022-03</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>2149702 rows × 14 columns</p>\n",
"</div>"
],
"text/plain": [
" unix date symbol open high low \\\n",
"0 1546300740 2018-12-31 BTC/USD 3689.26 3693.30 3689.26 \n",
"1 1546300680 2018-12-31 BTC/USD 3689.26 3691.35 3689.26 \n",
"2 1546300620 2018-12-31 BTC/USD 3688.83 3689.26 3688.83 \n",
"3 1546300560 2018-12-31 BTC/USD 3687.87 3689.65 3686.92 \n",
"4 1546300500 2018-12-31 BTC/USD 3688.28 3688.85 3685.00 \n",
"... ... ... ... ... ... ... \n",
"2149697 1646105880 2022-03-01 BTC/USD 43077.82 43077.82 43049.46 \n",
"2149698 1646105940 2022-03-01 BTC/USD 43035.16 43035.16 42999.44 \n",
"2149699 1646106000 2022-03-01 BTC/USD 43022.24 43022.24 43016.03 \n",
"2149700 1646106060 2022-03-01 BTC/USD 43018.23 43046.59 43018.23 \n",
"2149701 1646106180 2022-03-01 BTC/USD 43046.58 43046.58 43046.58 \n",
"\n",
" close Volume BTC Volume USD hour year month day \\\n",
"0 3693.30 9.838855 36337.841473 23:59:00 2018 12 31 \n",
"1 3691.35 0.560000 2067.156000 23:58:00 2018 12 31 \n",
"2 3689.26 0.560833 2069.059602 23:57:00 2018 12 31 \n",
"3 3686.92 7.610240 28058.346208 23:56:00 2018 12 31 \n",
"4 3688.85 7.665703 28277.629729 23:55:00 2018 12 31 \n",
"... ... ... ... ... ... ... .. \n",
"2149697 43049.46 0.022210 956.143143 03:38:00 2022 03 01 \n",
"2149698 42999.44 0.820950 35300.390270 03:39:00 2022 03 01 \n",
"2149699 43016.03 0.009230 397.037957 03:40:00 2022 03 01 \n",
"2149700 43046.58 0.142977 6154.673021 03:41:00 2022 03 01 \n",
"2149701 43046.58 0.000000 0.000000 03:43:00 2022 03 01 \n",
"\n",
" month of year \n",
"0 2018-12 \n",
"1 2018-12 \n",
"2 2018-12 \n",
"3 2018-12 \n",
"4 2018-12 \n",
"... ... \n",
"2149697 2022-03 \n",
"2149698 2022-03 \n",
"2149699 2022-03 \n",
"2149700 2022-03 \n",
"2149701 2022-03 \n",
"\n",
"[2149702 rows x 14 columns]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"btc_all = pd.concat([btc18, btc19, btc20, btc21], ignore_index=True)\n",
"\n",
"\n",
"btc_all[['date', 'hour']] = btc_all['date'].str.split(' ', expand=True)\n",
"btc_all[['year', 'month', 'day']] = btc_all['date'].str.split('-', expand=True)\n",
"btc_all['month of year'] = btc_all['year'] + '-' + btc_all['month']\n",
"\n",
"\n",
"btc_all"
]
},
{
"cell_type": "markdown",
"id": "c0265202",
"metadata": {},
"source": [
"Statyskyki btc_all"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "a7ec8594",
"metadata": {},
"outputs": [
{
"data": {
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" <td>2.149702e+06</td>\n",
" <td>2149702</td>\n",
" <td>2149702</td>\n",
" <td>2.149702e+06</td>\n",
" <td>2.149702e+06</td>\n",
" <td>2.149702e+06</td>\n",
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" <td>2149702</td>\n",
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" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>00:34:00</td>\n",
" <td>2018</td>\n",
" <td>01</td>\n",
" <td>22</td>\n",
" <td>2018-12</td>\n",
" </tr>\n",
" <tr>\n",
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" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1494</td>\n",
" <td>525599</td>\n",
" <td>223196</td>\n",
" <td>72000</td>\n",
" <td>44640</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>1.579945e+09</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.920786e+04</td>\n",
" <td>1.921931e+04</td>\n",
" <td>1.919615e+04</td>\n",
" <td>1.920790e+04</td>\n",
" <td>5.443650e+00</td>\n",
" <td>7.797241e+04</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>3.808436e+07</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1.811668e+04</td>\n",
" <td>1.812675e+04</td>\n",
" <td>1.810635e+04</td>\n",
" <td>1.811686e+04</td>\n",
" <td>1.491300e+01</td>\n",
" <td>2.183400e+05</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>1.514765e+09</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3.124450e+03</td>\n",
" <td>3.131860e+03</td>\n",
" <td>3.122280e+03</td>\n",
" <td>3.124450e+03</td>\n",
" <td>0.000000e+00</td>\n",
" <td>0.000000e+00</td>\n",
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" <td>NaN</td>\n",
" <td>NaN</td>\n",
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" <tr>\n",
" <th>25%</th>\n",
" <td>1.547010e+09</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7.135640e+03</td>\n",
" <td>7.139850e+03</td>\n",
" <td>7.131500e+03</td>\n",
" <td>7.135792e+03</td>\n",
" <td>2.380776e-01</td>\n",
" <td>2.900109e+03</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
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" <tr>\n",
" <th>50%</th>\n",
" <td>1.579256e+09</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>9.528370e+03</td>\n",
" <td>9.533685e+03</td>\n",
" <td>9.523120e+03</td>\n",
" <td>9.528510e+03</td>\n",
" <td>1.304600e+00</td>\n",
" <td>1.711807e+04</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
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" <tr>\n",
" <th>75%</th>\n",
" <td>1.613861e+09</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3.454626e+04</td>\n",
" <td>3.457261e+04</td>\n",
" <td>3.451898e+04</td>\n",
" <td>3.454637e+04</td>\n",
" <td>4.802350e+00</td>\n",
" <td>6.629355e+04</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>1.646106e+09</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>6.900000e+04</td>\n",
" <td>6.900000e+04</td>\n",
" <td>6.879999e+04</td>\n",
" <td>6.900000e+04</td>\n",
" <td>1.098349e+03</td>\n",
" <td>1.396792e+07</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" unix date symbol open high \\\n",
"count 2.149702e+06 2149702 2149702 2.149702e+06 2.149702e+06 \n",
"unique NaN 1495 1 NaN NaN \n",
"top NaN 2018-12-31 BTC/USD NaN NaN \n",
"freq NaN 1440 2149702 NaN NaN \n",
"mean 1.579945e+09 NaN NaN 1.920786e+04 1.921931e+04 \n",
"std 3.808436e+07 NaN NaN 1.811668e+04 1.812675e+04 \n",
"min 1.514765e+09 NaN NaN 3.124450e+03 3.131860e+03 \n",
"25% 1.547010e+09 NaN NaN 7.135640e+03 7.139850e+03 \n",
"50% 1.579256e+09 NaN NaN 9.528370e+03 9.533685e+03 \n",
"75% 1.613861e+09 NaN NaN 3.454626e+04 3.457261e+04 \n",
"max 1.646106e+09 NaN NaN 6.900000e+04 6.900000e+04 \n",
"\n",
" low close Volume BTC Volume USD hour \\\n",
"count 2.149702e+06 2.149702e+06 2.149702e+06 2.149702e+06 2149702 \n",
"unique NaN NaN NaN NaN 1440 \n",
"top NaN NaN NaN NaN 00:34:00 \n",
"freq NaN NaN NaN NaN 1494 \n",
"mean 1.919615e+04 1.920790e+04 5.443650e+00 7.797241e+04 NaN \n",
"std 1.810635e+04 1.811686e+04 1.491300e+01 2.183400e+05 NaN \n",
"min 3.122280e+03 3.124450e+03 0.000000e+00 0.000000e+00 NaN \n",
"25% 7.131500e+03 7.135792e+03 2.380776e-01 2.900109e+03 NaN \n",
"50% 9.523120e+03 9.528510e+03 1.304600e+00 1.711807e+04 NaN \n",
"75% 3.451898e+04 3.454637e+04 4.802350e+00 6.629355e+04 NaN \n",
"max 6.879999e+04 6.900000e+04 1.098349e+03 1.396792e+07 NaN \n",
"\n",
" year month day month of year \n",
"count 2149702 2149702 2149702 2149702 \n",
"unique 5 12 31 51 \n",
"top 2018 01 22 2018-12 \n",
"freq 525599 223196 72000 44640 \n",
"mean NaN NaN NaN NaN \n",
"std NaN NaN NaN NaN \n",
"min NaN NaN NaN NaN \n",
"25% NaN NaN NaN NaN \n",
"50% NaN NaN NaN NaN \n",
"75% NaN NaN NaN NaN \n",
"max NaN NaN NaN NaN "
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"btc_all.describe(include='all')"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "4411cad9",
"metadata": {},
"outputs": [],
"source": [
"#podział na podzbiory i zapis do plików\n",
"from sklearn.model_selection import train_test_split\n",
"\n",
"\n",
"\n",
"train_dev, btc_test = train_test_split(btc_all, test_size=0.2, random_state=42)\n",
"btc_train, btc_dev = train_test_split(train_dev, test_size=0.25, random_state=42) \n",
"\n",
"\n",
"btc_train.to_csv('data/btc_train.csv', index=False)\n",
"btc_dev.to_csv('data/btc_dev.csv', index=False)\n",
"btc_test.to_csv('data/btc_test.csv', index=False)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "9f45695e",
"metadata": {},
"outputs": [],
"source": [
"#zaladowanie btc_dev\n",
"import pandas as pd\n",
"\n",
"btc_dev = pd.read_csv('data/btc_dev.csv')\n",
"btc_train = pd.read_csv('data/btc_train.csv')\n",
"btc_test = pd.read_csv('data/btc_test.csv')"
]
},
{
"cell_type": "markdown",
"id": "887def8d",
"metadata": {},
"source": [
"# Dane o zbiorach"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "58cfce99",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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"\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>unix</th>\n",
" <th>date</th>\n",
" <th>symbol</th>\n",
" <th>open</th>\n",
" <th>high</th>\n",
" <th>low</th>\n",
" <th>close</th>\n",
" <th>Volume BTC</th>\n",
" <th>Volume USD</th>\n",
" <th>hour</th>\n",
" <th>year</th>\n",
" <th>month</th>\n",
" <th>day</th>\n",
" <th>month of year</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>4.299410e+05</td>\n",
" <td>429941</td>\n",
" <td>429941</td>\n",
" <td>429941.000000</td>\n",
" <td>429941.000000</td>\n",
" <td>429941.000000</td>\n",
" <td>429941.000000</td>\n",
" <td>429941.000000</td>\n",
" <td>4.299410e+05</td>\n",
" <td>429941</td>\n",
" <td>429941.000000</td>\n",
" <td>429941.000000</td>\n",
" <td>429941.000000</td>\n",
" <td>429941</td>\n",
" </tr>\n",
" <tr>\n",
" <th>unique</th>\n",
" <td>NaN</td>\n",
" <td>1495</td>\n",
" <td>1</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>1440</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>51</td>\n",
" </tr>\n",
" <tr>\n",
" <th>top</th>\n",
" <td>NaN</td>\n",
" <td>2021-09-25</td>\n",
" <td>BTC/USD</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>12:13:00</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2021-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>freq</th>\n",
" <td>NaN</td>\n",
" <td>338</td>\n",
" <td>429941</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>352</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>9032</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>1.579897e+09</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>19187.806679</td>\n",
" <td>19199.224871</td>\n",
" <td>19176.132847</td>\n",
" <td>19187.853331</td>\n",
" <td>5.432500</td>\n",
" <td>7.764623e+04</td>\n",
" <td>NaN</td>\n",
" <td>2019.588653</td>\n",
" <td>6.229801</td>\n",
" <td>15.708069</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>3.806220e+07</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>18110.655080</td>\n",
" <td>18120.678529</td>\n",
" <td>18100.353208</td>\n",
" <td>18110.821598</td>\n",
" <td>14.749560</td>\n",
" <td>2.193092e+05</td>\n",
" <td>NaN</td>\n",
" <td>1.206519</td>\n",
" <td>3.472108</td>\n",
" <td>8.788119</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>1.514765e+09</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>3137.000000</td>\n",
" <td>3137.000000</td>\n",
" <td>3130.000000</td>\n",
" <td>3135.440000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000e+00</td>\n",
" <td>NaN</td>\n",
" <td>2018.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>1.547001e+09</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>7138.650000</td>\n",
" <td>7142.470000</td>\n",
" <td>7134.340000</td>\n",
" <td>7138.440000</td>\n",
" <td>0.237175</td>\n",
" <td>2.898257e+03</td>\n",
" <td>NaN</td>\n",
" <td>2019.000000</td>\n",
" <td>3.000000</td>\n",
" <td>8.000000</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>1.579157e+09</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>9526.480000</td>\n",
" <td>9531.510000</td>\n",
" <td>9521.470000</td>\n",
" <td>9526.910000</td>\n",
" <td>1.304891</td>\n",
" <td>1.712750e+04</td>\n",
" <td>NaN</td>\n",
" <td>2020.000000</td>\n",
" <td>6.000000</td>\n",
" <td>16.000000</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>1.613801e+09</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>34472.350000</td>\n",
" <td>34500.000000</td>\n",
" <td>34450.000000</td>\n",
" <td>34476.160000</td>\n",
" <td>4.811006</td>\n",
" <td>6.621286e+04</td>\n",
" <td>NaN</td>\n",
" <td>2021.000000</td>\n",
" <td>9.000000</td>\n",
" <td>23.000000</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>1.646106e+09</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>68794.750000</td>\n",
" <td>68894.100000</td>\n",
" <td>68704.410000</td>\n",
" <td>68733.680000</td>\n",
" <td>778.854848</td>\n",
" <td>1.378306e+07</td>\n",
" <td>NaN</td>\n",
" <td>2022.000000</td>\n",
" <td>12.000000</td>\n",
" <td>31.000000</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" unix date symbol open high \\\n",
"count 4.299410e+05 429941 429941 429941.000000 429941.000000 \n",
"unique NaN 1495 1 NaN NaN \n",
"top NaN 2021-09-25 BTC/USD NaN NaN \n",
"freq NaN 338 429941 NaN NaN \n",
"mean 1.579897e+09 NaN NaN 19187.806679 19199.224871 \n",
"std 3.806220e+07 NaN NaN 18110.655080 18120.678529 \n",
"min 1.514765e+09 NaN NaN 3137.000000 3137.000000 \n",
"25% 1.547001e+09 NaN NaN 7138.650000 7142.470000 \n",
"50% 1.579157e+09 NaN NaN 9526.480000 9531.510000 \n",
"75% 1.613801e+09 NaN NaN 34472.350000 34500.000000 \n",
"max 1.646106e+09 NaN NaN 68794.750000 68894.100000 \n",
"\n",
" low close Volume BTC Volume USD hour \\\n",
"count 429941.000000 429941.000000 429941.000000 4.299410e+05 429941 \n",
"unique NaN NaN NaN NaN 1440 \n",
"top NaN NaN NaN NaN 12:13:00 \n",
"freq NaN NaN NaN NaN 352 \n",
"mean 19176.132847 19187.853331 5.432500 7.764623e+04 NaN \n",
"std 18100.353208 18110.821598 14.749560 2.193092e+05 NaN \n",
"min 3130.000000 3135.440000 0.000000 0.000000e+00 NaN \n",
"25% 7134.340000 7138.440000 0.237175 2.898257e+03 NaN \n",
"50% 9521.470000 9526.910000 1.304891 1.712750e+04 NaN \n",
"75% 34450.000000 34476.160000 4.811006 6.621286e+04 NaN \n",
"max 68704.410000 68733.680000 778.854848 1.378306e+07 NaN \n",
"\n",
" year month day month of year \n",
"count 429941.000000 429941.000000 429941.000000 429941 \n",
"unique NaN NaN NaN 51 \n",
"top NaN NaN NaN 2021-10 \n",
"freq NaN NaN NaN 9032 \n",
"mean 2019.588653 6.229801 15.708069 NaN \n",
"std 1.206519 3.472108 8.788119 NaN \n",
"min 2018.000000 1.000000 1.000000 NaN \n",
"25% 2019.000000 3.000000 8.000000 NaN \n",
"50% 2020.000000 6.000000 16.000000 NaN \n",
"75% 2021.000000 9.000000 23.000000 NaN \n",
"max 2022.000000 12.000000 31.000000 NaN "
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"btc_dev.describe(include='all')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "75cbb3d3",
"metadata": {},
"outputs": [],
"source": [
"btc_train.describe(include='all')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ea7d4766",
"metadata": {},
"outputs": [],
"source": [
"btc_test.describe(include='all')"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "7313bfb5",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Volume BTC\n",
"0.000000 10353\n",
"1.000000 239\n",
"0.010000 160\n",
"0.001000 153\n",
"2.000000 131\n",
" ... \n",
"5.190947 1\n",
"0.529028 1\n",
"10.358122 1\n",
"3.810011 1\n",
"0.062389 1\n",
"Name: count, Length: 410603, dtype: int64"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"btc_dev['Volume BTC'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "71aed382",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='year'>"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"btc_dev['year'].value_counts().plot(kind='bar')"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "ce845b8b",
"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>high</th>\n",
" </tr>\n",
" <tr>\n",
" <th>year</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2018</th>\n",
" <td>7533.899647</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2019</th>\n",
" <td>7355.831382</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2020</th>\n",
" <td>10418.525729</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2021</th>\n",
" <td>47402.209955</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2022</th>\n",
" <td>40931.761356</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" high\n",
"year \n",
"2018 7533.899647\n",
"2019 7355.831382\n",
"2020 10418.525729\n",
"2021 47402.209955\n",
"2022 40931.761356"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"btc_dev[[\"high\", \"year\"]].groupby(\"year\").mean()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "cc621e61",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Axes: xlabel='year'>"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"btc_dev[[\"Volume USD\", \"year\"]].groupby(\"year\").mean().plot(kind=\"bar\")"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "40752870",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.FacetGrid at 0x2758607bed0>"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 588.875x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 588.875x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import seaborn as sns\n",
"sns.set_theme()\n",
"sns.relplot(data=btc_dev, x=\"month\", y=\"open\", hue=\"year\")\n",
"sns.relplot(data=btc_dev, x=\"month\", y=\"close\", hue=\"year\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3a9384ad",
"metadata": {},
"outputs": [],
"source": [
"btc_dev_v = btc_dev[btc_dev[\"year\"] != \"2022\"]\n",
"sns.relplot(data=btc_dev_v, x=\"month\", y=\"close\", hue=\"year\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "4dffab95",
"metadata": {},
"outputs": [],
"source": [
"import seaborn as sns\n",
"sns.set_theme()\n",
"sns.pairplot(data=btc_dev.drop(columns=[\"unix\"]), hue=\"year\")"
]
},
{
"cell_type": "markdown",
"id": "1a7c2c6f",
"metadata": {},
"source": [
"# Czyszczenie\n",
"\n",
"Dane wydają się być czyste, nie widzę potrzeby ich czyszczenia"
]
}
],
"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": "3.11.8"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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