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module3/exo3/exercice.ipynb
View file @ 51181dc9
......@@ -12,7 +12,7 @@
},
{
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......@@ -44,7 +44,7 @@
},
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......@@ -329,7 +329,7 @@
"[756 rows x 10 columns]"
]
},
"execution_count": 28,
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......@@ -364,7 +364,7 @@
},
{
"cell_type": "code",
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"metadata": {
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......@@ -651,7 +651,7 @@
"[756 rows x 10 columns]"
]
},
"execution_count": 29,
"execution_count": 83,
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}
......@@ -675,281 +675,12 @@
},
{
"cell_type": "code",
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"execution_count": 84,
"metadata": {
"hideCode": true,
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},
"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",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Yr</th>\n",
" <th>Mn</th>\n",
" <th>Date 1</th>\n",
" <th>Date 2</th>\n",
" <th>s1</th>\n",
" <th>s2</th>\n",
" <th>s3</th>\n",
" <th>s4</th>\n",
" <th>s5</th>\n",
" <th>s6</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1958</td>\n",
" <td>3</td>\n",
" <td>21259</td>\n",
" <td>1958.2027</td>\n",
" <td>315.70</td>\n",
" <td>314.44</td>\n",
" <td>316.19</td>\n",
" <td>314.91</td>\n",
" <td>315.70</td>\n",
" <td>314.44</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1958</td>\n",
" <td>4</td>\n",
" <td>21290</td>\n",
" <td>1958.2877</td>\n",
" <td>317.45</td>\n",
" <td>315.16</td>\n",
" <td>317.30</td>\n",
" <td>314.99</td>\n",
" <td>317.45</td>\n",
" <td>315.16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1958</td>\n",
" <td>5</td>\n",
" <td>21320</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>5</th>\n",
" <td>1958</td>\n",
" <td>6</td>\n",
" <td>21351</td>\n",
" <td>1958.4548</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>317.24</td>\n",
" <td>315.14</td>\n",
" <td>317.24</td>\n",
" <td>315.14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>1958</td>\n",
" <td>7</td>\n",
" <td>21381</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>7</th>\n",
" <td>1958</td>\n",
" <td>8</td>\n",
" <td>21412</td>\n",
" <td>1958.6219</td>\n",
" <td>314.93</td>\n",
" <td>316.19</td>\n",
" <td>314.00</td>\n",
" <td>315.29</td>\n",
" <td>314.93</td>\n",
" <td>316.19</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
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"text/plain": [
" Yr Mn Date 1 Date 2 s1 s2 s3 s4 s5 s6\n",
"2 1958 3 21259 1958.2027 315.70 314.44 316.19 314.91 315.70 314.44\n",
"3 1958 4 21290 1958.2877 317.45 315.16 317.30 314.99 317.45 315.16\n",
"4 1958 5 21320 1958.3699 317.51 314.71 317.86 315.06 317.51 314.71\n",
"5 1958 6 21351 1958.4548 NaN NaN 317.24 315.14 317.24 315.14\n",
"6 1958 7 21381 1958.5370 315.86 315.19 315.86 315.22 315.86 315.19\n",
"7 1958 8 21412 1958.6219 314.93 316.19 314.00 315.29 314.93 316.19"
]
},
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" <th>Yr</th>\n",
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" <th>Date 2</th>\n",
" <th>s1</th>\n",
" <th>s2</th>\n",
" <th>s3</th>\n",
" <th>s4</th>\n",
" <th>s5</th>\n",
" <th>s6</th>\n",
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" <tbody>\n",
" <tr>\n",
" <th>739</th>\n",
" <td>2019</td>\n",
" <td>8</td>\n",
" <td>43692</td>\n",
" <td>2019.6219</td>\n",
" <td>410.08</td>\n",
" <td>411.62</td>\n",
" <td>410.23</td>\n",
" <td>411.81</td>\n",
" <td>410.08</td>\n",
" <td>411.62</td>\n",
" </tr>\n",
" <tr>\n",
" <th>740</th>\n",
" <td>2019</td>\n",
" <td>9</td>\n",
" <td>43723</td>\n",
" <td>2019.7068</td>\n",
" <td>408.55</td>\n",
" <td>412.06</td>\n",
" <td>408.52</td>\n",
" <td>412.05</td>\n",
" <td>408.55</td>\n",
" <td>412.06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>741</th>\n",
" <td>2019</td>\n",
" <td>10</td>\n",
" <td>43753</td>\n",
" <td>2019.7890</td>\n",
" <td>408.43</td>\n",
" <td>412.07</td>\n",
" <td>408.67</td>\n",
" <td>412.29</td>\n",
" <td>408.43</td>\n",
" <td>412.07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>742</th>\n",
" <td>2019</td>\n",
" <td>11</td>\n",
" <td>43784</td>\n",
" <td>2019.8740</td>\n",
" <td>410.28</td>\n",
" <td>412.56</td>\n",
" <td>410.29</td>\n",
" <td>412.54</td>\n",
" <td>410.28</td>\n",
" <td>412.56</td>\n",
" </tr>\n",
" <tr>\n",
" <th>743</th>\n",
" <td>2019</td>\n",
" <td>12</td>\n",
" <td>43814</td>\n",
" <td>2019.9562</td>\n",
" <td>411.85</td>\n",
" <td>412.78</td>\n",
" <td>411.88</td>\n",
" <td>412.79</td>\n",
" <td>411.85</td>\n",
" <td>412.78</td>\n",
" </tr>\n",
" <tr>\n",
" <th>744</th>\n",
" <td>2020</td>\n",
" <td>1</td>\n",
" <td>43845</td>\n",
" <td>2020.0410</td>\n",
" <td>413.37</td>\n",
" <td>413.33</td>\n",
" <td>413.11</td>\n",
" <td>413.05</td>\n",
" <td>413.37</td>\n",
" <td>413.33</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Yr Mn Date 1 Date 2 s1 s2 s3 s4 s5 \\\n",
"739 2019 8 43692 2019.6219 410.08 411.62 410.23 411.81 410.08 \n",
"740 2019 9 43723 2019.7068 408.55 412.06 408.52 412.05 408.55 \n",
"741 2019 10 43753 2019.7890 408.43 412.07 408.67 412.29 408.43 \n",
"742 2019 11 43784 2019.8740 410.28 412.56 410.29 412.54 410.28 \n",
"743 2019 12 43814 2019.9562 411.85 412.78 411.88 412.79 411.85 \n",
"744 2020 1 43845 2020.0410 413.37 413.33 413.11 413.05 413.37 \n",
"\n",
" s6 \n",
"739 411.62 \n",
"740 412.06 \n",
"741 412.07 \n",
"742 412.56 \n",
"743 412.78 \n",
"744 413.33 "
]
},
"execution_count": 46,
"metadata": {},
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}
],
"outputs": [],
"source": [
"data = raw_data_1.copy()\n",
"date = datetime.date.today()\n",
......@@ -994,7 +725,7 @@
},
{
"cell_type": "code",
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"execution_count": 71,
"metadata": {
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......@@ -1016,7 +747,7 @@
"dtype: bool"
]
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"execution_count": 47,
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}
......@@ -1038,7 +769,7 @@
},
{
"cell_type": "code",
"execution_count": 48,
"execution_count": 85,
"metadata": {
"hideCode": true,
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......@@ -1186,7 +917,7 @@
"1958-07-01 315.22 315.86 315.19 "
]
},
"execution_count": 48,
"execution_count": 85,
"metadata": {},
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}
......@@ -1213,7 +944,7 @@
},
{
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......@@ -1250,7 +981,7 @@
},
{
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"hidePrompt": true
......@@ -1308,7 +1039,7 @@
},
{
"cell_type": "code",
"execution_count": 63,
"execution_count": 90,
"metadata": {
"hideCode": true,
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......@@ -1383,7 +1114,7 @@
},
{
"cell_type": "code",
"execution_count": 52,
"execution_count": 92,
"metadata": {
"hideCode": true,
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......@@ -1440,7 +1171,7 @@
},
{
"cell_type": "code",
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"execution_count": 93,
"metadata": {
"hideCode": true,
"hidePrompt": true
......@@ -1466,7 +1197,7 @@
},
{
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"execution_count": 94,
"metadata": {
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"hidePrompt": true,
......@@ -1511,7 +1242,7 @@
},
{
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......@@ -1546,7 +1277,7 @@
},
{
"cell_type": "code",
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"execution_count": 96,
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......@@ -1578,7 +1309,7 @@
},
{
"cell_type": "code",
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......@@ -1604,21 +1335,23 @@
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>index</th>\n",
" <th>Yr</th>\n",
" <th>Mn</th>\n",
" <th>Date 1</th>\n",
" <th>Date 2</th>\n",
" <th>s1</th>\n",
" <th>s2</th>\n",
" <th>s3</th>\n",
" <th>s4</th>\n",
" <th>s5</th>\n",
" <th>s6</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",
" <th>10</th>\n",
" <th>11</th>\n",
" <th>12</th>\n",
" </tr>\n",
" <tr>\n",
" <th>period</th>\n",
" <th>Yr</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
......@@ -1634,102 +1367,109 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1958-03-01</th>\n",
" <td>2</td>\n",
" <td>1958</td>\n",
" <td>3</td>\n",
" <td>21259</td>\n",
" <td>1958.2027</td>\n",
" <td>315.700</td>\n",
" <td>314.44</td>\n",
" <td>316.19</td>\n",
" <td>314.91</td>\n",
" <th>1958</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>315.70</td>\n",
" <td>314.44</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1958-04-01</th>\n",
" <td>3</td>\n",
" <td>1958</td>\n",
" <td>4</td>\n",
" <td>21290</td>\n",
" <td>1958.2877</td>\n",
" <td>317.450</td>\n",
" <td>315.16</td>\n",
" <td>317.30</td>\n",
" <td>314.99</td>\n",
" <td>317.45</td>\n",
" <td>315.16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1958-05-01</th>\n",
" <td>4</td>\n",
" <td>1958</td>\n",
" <td>5</td>\n",
" <td>21320</td>\n",
" <td>1958.3699</td>\n",
" <td>317.510</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>1958-06-01</th>\n",
" <td>5</td>\n",
" <td>1958</td>\n",
" <td>6</td>\n",
" <td>21351</td>\n",
" <td>1958.4548</td>\n",
" <td>316.685</td>\n",
" <td>314.95</td>\n",
" <td>317.24</td>\n",
" <td>315.14</td>\n",
" <td>317.24</td>\n",
" <td>315.14</td>\n",
" <td>315.86</td>\n",
" <td>314.93</td>\n",
" <td>313.21</td>\n",
" <td>312.44</td>\n",
" <td>313.33</td>\n",
" <td>314.67</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1958-07-01</th>\n",
" <td>6</td>\n",
" <td>1958</td>\n",
" <td>7</td>\n",
" <td>21381</td>\n",
" <td>1958.5370</td>\n",
" <td>315.860</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",
" <th>1959</th>\n",
" <td>315.58</td>\n",
" <td>316.49</td>\n",
" <td>316.65</td>\n",
" <td>317.72</td>\n",
" <td>318.29</td>\n",
" <td>318.15</td>\n",
" <td>316.54</td>\n",
" <td>314.80</td>\n",
" <td>313.84</td>\n",
" <td>313.33</td>\n",
" <td>314.81</td>\n",
" <td>315.58</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1958-08-01</th>\n",
" <td>7</td>\n",
" <td>1958</td>\n",
" <td>8</td>\n",
" <td>21412</td>\n",
" <td>1958.6219</td>\n",
" <td>314.930</td>\n",
" <td>316.19</td>\n",
" <td>314.00</td>\n",
" <td>315.29</td>\n",
" <td>314.93</td>\n",
" <th>1960</th>\n",
" <td>316.43</td>\n",
" <td>316.98</td>\n",
" <td>317.58</td>\n",
" <td>319.03</td>\n",
" <td>320.04</td>\n",
" <td>319.59</td>\n",
" <td>318.18</td>\n",
" <td>315.90</td>\n",
" <td>314.17</td>\n",
" <td>313.83</td>\n",
" <td>315.00</td>\n",
" <td>316.19</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1958-09-01</th>\n",
" <td>8</td>\n",
" <td>1958</td>\n",
" <td>9</td>\n",
" <td>21443</td>\n",
" <td>1958.7068</td>\n",
" <td>313.210</td>\n",
" <td>316.08</td>\n",
" <td>312.46</td>\n",
" <td>315.35</td>\n",
" <td>313.21</td>\n",
" <td>316.08</td>\n",
" <th>1961</th>\n",
" <td>316.89</td>\n",
" <td>317.70</td>\n",
" <td>318.54</td>\n",
" <td>319.48</td>\n",
" <td>320.58</td>\n",
" <td>319.77</td>\n",
" <td>318.57</td>\n",
" <td>316.79</td>\n",
" <td>314.99</td>\n",
" <td>315.31</td>\n",
" <td>316.10</td>\n",
" <td>317.01</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1962</th>\n",
" <td>317.94</td>\n",
" <td>318.55</td>\n",
" <td>319.68</td>\n",
" <td>320.57</td>\n",
" <td>321.02</td>\n",
" <td>320.62</td>\n",
" <td>319.61</td>\n",
" <td>317.40</td>\n",
" <td>316.25</td>\n",
" <td>315.42</td>\n",
" <td>316.69</td>\n",
" <td>317.70</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1963</th>\n",
" <td>318.74</td>\n",
" <td>319.07</td>\n",
" <td>319.86</td>\n",
" <td>321.38</td>\n",
" <td>322.25</td>\n",
" <td>321.48</td>\n",
" <td>319.74</td>\n",
" <td>317.77</td>\n",
" <td>316.21</td>\n",
" <td>315.99</td>\n",
" <td>317.07</td>\n",
" <td>318.35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1964</th>\n",
" <td>319.57</td>\n",
" <td>320.01</td>\n",
" <td>320.74</td>\n",
" <td>321.83</td>\n",
" <td>322.26</td>\n",
" <td>321.89</td>\n",
" <td>320.44</td>\n",
" <td>318.69</td>\n",
" <td>316.71</td>\n",
" <td>316.87</td>\n",
" <td>317.68</td>\n",
" <td>318.71</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
......@@ -1744,163 +1484,171 @@
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2019-07-01</th>\n",
" <td>738</td>\n",
" <td>2019</td>\n",
" <td>7</td>\n",
" <td>43661</td>\n",
" <td>2019.5370</td>\n",
" <td>411.850</td>\n",
" <td>411.03</td>\n",
" <td>412.36</td>\n",
" <td>411.57</td>\n",
" <th>2014</th>\n",
" <td>397.93</td>\n",
" <td>398.10</td>\n",
" <td>399.47</td>\n",
" <td>401.33</td>\n",
" <td>401.88</td>\n",
" <td>401.31</td>\n",
" <td>399.07</td>\n",
" <td>397.21</td>\n",
" <td>395.40</td>\n",
" <td>395.65</td>\n",
" <td>397.23</td>\n",
" <td>398.79</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2015</th>\n",
" <td>399.85</td>\n",
" <td>400.31</td>\n",
" <td>401.51</td>\n",
" <td>403.45</td>\n",
" <td>404.10</td>\n",
" <td>402.88</td>\n",
" <td>401.61</td>\n",
" <td>399.00</td>\n",
" <td>397.50</td>\n",
" <td>398.28</td>\n",
" <td>400.24</td>\n",
" <td>401.89</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2016</th>\n",
" <td>402.65</td>\n",
" <td>404.16</td>\n",
" <td>404.85</td>\n",
" <td>407.57</td>\n",
" <td>407.66</td>\n",
" <td>407.00</td>\n",
" <td>404.50</td>\n",
" <td>402.24</td>\n",
" <td>401.01</td>\n",
" <td>401.50</td>\n",
" <td>403.64</td>\n",
" <td>404.55</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017</th>\n",
" <td>406.07</td>\n",
" <td>406.64</td>\n",
" <td>407.06</td>\n",
" <td>408.95</td>\n",
" <td>409.91</td>\n",
" <td>409.12</td>\n",
" <td>407.20</td>\n",
" <td>405.24</td>\n",
" <td>403.27</td>\n",
" <td>403.64</td>\n",
" <td>405.17</td>\n",
" <td>406.75</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2018</th>\n",
" <td>408.05</td>\n",
" <td>408.34</td>\n",
" <td>409.25</td>\n",
" <td>410.30</td>\n",
" <td>411.30</td>\n",
" <td>410.88</td>\n",
" <td>408.90</td>\n",
" <td>407.10</td>\n",
" <td>405.59</td>\n",
" <td>405.99</td>\n",
" <td>408.12</td>\n",
" <td>409.23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2019</th>\n",
" <td>410.92</td>\n",
" <td>411.66</td>\n",
" <td>412.00</td>\n",
" <td>413.52</td>\n",
" <td>414.83</td>\n",
" <td>413.96</td>\n",
" <td>411.85</td>\n",
" <td>411.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2019-08-01</th>\n",
" <td>739</td>\n",
" <td>2019</td>\n",
" <td>8</td>\n",
" <td>43692</td>\n",
" <td>2019.6219</td>\n",
" <td>410.080</td>\n",
" <td>411.62</td>\n",
" <td>410.23</td>\n",
" <td>411.81</td>\n",
" <td>410.08</td>\n",
" <td>411.62</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2019-09-01</th>\n",
" <td>740</td>\n",
" <td>2019</td>\n",
" <td>9</td>\n",
" <td>43723</td>\n",
" <td>2019.7068</td>\n",
" <td>408.550</td>\n",
" <td>412.06</td>\n",
" <td>408.52</td>\n",
" <td>412.05</td>\n",
" <td>408.55</td>\n",
" <td>412.06</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2019-10-01</th>\n",
" <td>741</td>\n",
" <td>2019</td>\n",
" <td>10</td>\n",
" <td>43753</td>\n",
" <td>2019.7890</td>\n",
" <td>408.430</td>\n",
" <td>412.07</td>\n",
" <td>408.67</td>\n",
" <td>412.29</td>\n",
" <td>408.43</td>\n",
" <td>412.07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2019-11-01</th>\n",
" <td>742</td>\n",
" <td>2019</td>\n",
" <td>11</td>\n",
" <td>43784</td>\n",
" <td>2019.8740</td>\n",
" <td>410.280</td>\n",
" <td>412.56</td>\n",
" <td>410.29</td>\n",
" <td>412.54</td>\n",
" <td>410.28</td>\n",
" <td>412.56</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2019-12-01</th>\n",
" <td>743</td>\n",
" <td>2019</td>\n",
" <td>12</td>\n",
" <td>43814</td>\n",
" <td>2019.9562</td>\n",
" <td>411.850</td>\n",
" <td>412.78</td>\n",
" <td>411.88</td>\n",
" <td>412.79</td>\n",
" <td>411.85</td>\n",
" <td>412.78</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2020-01-01</th>\n",
" <td>744</td>\n",
" <td>2020</td>\n",
" <td>1</td>\n",
" <td>43845</td>\n",
" <td>2020.0410</td>\n",
" <td>413.370</td>\n",
" <td>413.33</td>\n",
" <td>413.11</td>\n",
" <td>413.05</td>\n",
" <th>2020</th>\n",
" <td>413.37</td>\n",
" <td>413.33</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>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",
"<p>743 rows × 11 columns</p>\n",
"<p>63 rows × 12 columns</p>\n",
"</div>"
],
"text/plain": [
" index Yr Mn Date 1 Date 2 s1 s2 s3 \\\n",
"period \n",
"1958-03-01 2 1958 3 21259 1958.2027 315.700 314.44 316.19 \n",
"1958-04-01 3 1958 4 21290 1958.2877 317.450 315.16 317.30 \n",
"1958-05-01 4 1958 5 21320 1958.3699 317.510 314.71 317.86 \n",
"1958-06-01 5 1958 6 21351 1958.4548 316.685 314.95 317.24 \n",
"1958-07-01 6 1958 7 21381 1958.5370 315.860 315.19 315.86 \n",
"1958-08-01 7 1958 8 21412 1958.6219 314.930 316.19 314.00 \n",
"1958-09-01 8 1958 9 21443 1958.7068 313.210 316.08 312.46 \n",
"... ... ... .. ... ... ... ... ... \n",
"2019-07-01 738 2019 7 43661 2019.5370 411.850 411.03 412.36 \n",
"2019-08-01 739 2019 8 43692 2019.6219 410.080 411.62 410.23 \n",
"2019-09-01 740 2019 9 43723 2019.7068 408.550 412.06 408.52 \n",
"2019-10-01 741 2019 10 43753 2019.7890 408.430 412.07 408.67 \n",
"2019-11-01 742 2019 11 43784 2019.8740 410.280 412.56 410.29 \n",
"2019-12-01 743 2019 12 43814 2019.9562 411.850 412.78 411.88 \n",
"2020-01-01 744 2020 1 43845 2020.0410 413.370 413.33 413.11 \n",
"Mn 1 2 3 4 5 6 7 8 9 \\\n",
"Yr \n",
"1958 NaN NaN 315.70 317.45 317.51 317.24 315.86 314.93 313.21 \n",
"1959 315.58 316.49 316.65 317.72 318.29 318.15 316.54 314.80 313.84 \n",
"1960 316.43 316.98 317.58 319.03 320.04 319.59 318.18 315.90 314.17 \n",
"1961 316.89 317.70 318.54 319.48 320.58 319.77 318.57 316.79 314.99 \n",
"1962 317.94 318.55 319.68 320.57 321.02 320.62 319.61 317.40 316.25 \n",
"1963 318.74 319.07 319.86 321.38 322.25 321.48 319.74 317.77 316.21 \n",
"1964 319.57 320.01 320.74 321.83 322.26 321.89 320.44 318.69 316.71 \n",
"... ... ... ... ... ... ... ... ... ... \n",
"2014 397.93 398.10 399.47 401.33 401.88 401.31 399.07 397.21 395.40 \n",
"2015 399.85 400.31 401.51 403.45 404.10 402.88 401.61 399.00 397.50 \n",
"2016 402.65 404.16 404.85 407.57 407.66 407.00 404.50 402.24 401.01 \n",
"2017 406.07 406.64 407.06 408.95 409.91 409.12 407.20 405.24 403.27 \n",
"2018 408.05 408.34 409.25 410.30 411.30 410.88 408.90 407.10 405.59 \n",
"2019 410.92 411.66 412.00 413.52 414.83 413.96 411.85 410.08 408.55 \n",
"2020 413.37 NaN NaN NaN NaN NaN NaN NaN NaN \n",
"\n",
" s4 s5 s6 \n",
"period \n",
"1958-03-01 314.91 315.70 314.44 \n",
"1958-04-01 314.99 317.45 315.16 \n",
"1958-05-01 315.06 317.51 314.71 \n",
"1958-06-01 315.14 317.24 315.14 \n",
"1958-07-01 315.22 315.86 315.19 \n",
"1958-08-01 315.29 314.93 316.19 \n",
"1958-09-01 315.35 313.21 316.08 \n",
"Mn 10 11 12 \n",
"Yr \n",
"1958 312.44 313.33 314.67 \n",
"1959 313.33 314.81 315.58 \n",
"1960 313.83 315.00 316.19 \n",
"1961 315.31 316.10 317.01 \n",
"1962 315.42 316.69 317.70 \n",
"1963 315.99 317.07 318.35 \n",
"1964 316.87 317.68 318.71 \n",
"... ... ... ... \n",
"2019-07-01 411.57 411.85 411.03 \n",
"2019-08-01 411.81 410.08 411.62 \n",
"2019-09-01 412.05 408.55 412.06 \n",
"2019-10-01 412.29 408.43 412.07 \n",
"2019-11-01 412.54 410.28 412.56 \n",
"2019-12-01 412.79 411.85 412.78 \n",
"2020-01-01 413.05 413.37 413.33 \n",
"2014 395.65 397.23 398.79 \n",
"2015 398.28 400.24 401.89 \n",
"2016 401.50 403.64 404.55 \n",
"2017 403.64 405.17 406.75 \n",
"2018 405.99 408.12 409.23 \n",
"2019 408.43 410.28 411.85 \n",
"2020 NaN NaN NaN \n",
"\n",
"[743 rows x 11 columns]"
"[63 rows x 12 columns]"
]
},
"execution_count": 166,
"execution_count": 102,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df1 = pd.crosstab(df['Yr'],df['Mn'],values=df['s1'],aggfunc=pd.Series)\n",
"df"
"df1 = pd.crosstab(df['Yr'],df['Mn'],values=df['s5'],aggfunc=pd.Series)\n",
"df1"
]
},
{
"cell_type": "code",
"execution_count": 162,
"execution_count": 103,
"metadata": {
"hideCode": true,
"hidePrompt": true
......@@ -1960,30 +1708,30 @@
" <tr>\n",
" <th>mean</th>\n",
" <td>355.559355</td>\n",
" <td>355.379385</td>\n",
" <td>355.538306</td>\n",
" <td>356.892702</td>\n",
" <td>355.375574</td>\n",
" <td>355.535484</td>\n",
" <td>356.896613</td>\n",
" <td>357.509355</td>\n",
" <td>356.915887</td>\n",
" <td>356.924839</td>\n",
" <td>355.428871</td>\n",
" <td>353.441129</td>\n",
" <td>351.778871</td>\n",
" <td>351.789194</td>\n",
" <td>351.775806</td>\n",
" <td>353.175645</td>\n",
" <td>354.473387</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>28.938877</td>\n",
" <td>28.204916</td>\n",
" <td>28.422049</td>\n",
" <td>28.583698</td>\n",
" <td>28.209759</td>\n",
" <td>28.425552</td>\n",
" <td>28.578804</td>\n",
" <td>28.657777</td>\n",
" <td>28.575947</td>\n",
" <td>28.563221</td>\n",
" <td>28.395757</td>\n",
" <td>28.315031</td>\n",
" <td>28.340139</td>\n",
" <td>28.489200</td>\n",
" <td>28.507786</td>\n",
" <td>28.700183</td>\n",
" <td>28.819885</td>\n",
" </tr>\n",
......@@ -1994,11 +1742,11 @@
" <td>315.700000</td>\n",
" <td>317.450000</td>\n",
" <td>317.510000</td>\n",
" <td>316.685000</td>\n",
" <td>317.240000</td>\n",
" <td>315.860000</td>\n",
" <td>314.800000</td>\n",
" <td>313.210000</td>\n",
" <td>313.270000</td>\n",
" <td>312.440000</td>\n",
" <td>313.330000</td>\n",
" <td>314.670000</td>\n",
" </tr>\n",
......@@ -2069,9 +1817,9 @@
"text/plain": [
"Mn 1 2 3 4 5 6 \\\n",
"count 62.000000 61.000000 62.000000 62.000000 62.000000 62.000000 \n",
"mean 355.559355 355.379385 355.538306 356.892702 357.509355 356.915887 \n",
"std 28.938877 28.204916 28.422049 28.583698 28.657777 28.575947 \n",
"min 315.580000 316.490000 315.700000 317.450000 317.510000 316.685000 \n",
"mean 355.559355 355.375574 355.535484 356.896613 357.509355 356.924839 \n",
"std 28.938877 28.209759 28.425552 28.578804 28.657777 28.563221 \n",
"min 315.580000 316.490000 315.700000 317.450000 317.510000 317.240000 \n",
"25% 329.612500 330.710000 330.595000 331.787500 332.632500 332.115000 \n",
"50% 353.210000 353.070000 352.950000 354.505000 354.945000 354.460000 \n",
"75% 377.952500 377.370000 377.820000 379.787500 380.052500 379.195000 \n",
......@@ -2079,16 +1827,16 @@
"\n",
"Mn 7 8 9 10 11 12 \n",
"count 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 \n",
"mean 355.428871 353.441129 351.778871 351.789194 353.175645 354.473387 \n",
"std 28.395757 28.315031 28.340139 28.489200 28.700183 28.819885 \n",
"min 315.860000 314.800000 313.210000 313.270000 313.330000 314.670000 \n",
"mean 355.428871 353.441129 351.778871 351.775806 353.175645 354.473387 \n",
"std 28.395757 28.315031 28.340139 28.507786 28.700183 28.819885 \n",
"min 315.860000 314.800000 313.210000 312.440000 313.330000 314.670000 \n",
"25% 330.947500 329.330000 327.450000 327.227500 328.235000 328.872500 \n",
"50% 353.140000 351.050000 349.270000 349.435000 350.685000 351.930000 \n",
"75% 377.470000 375.492500 373.782500 373.915000 375.467500 377.002500 \n",
"max 411.850000 410.080000 408.550000 408.430000 410.280000 411.850000 "
]
},
"execution_count": 162,
"execution_count": 103,
"metadata": {},
"output_type": "execute_result"
}
......
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