Hugging Face's logo

ibnummuhammad
/
coal-price-forecast

Model card Files Community
ibnummuhammad commited on
Commit
5505dba
•
1 Parent(s): abc88c3

Add adf_test()

Browse files
Files changed (1) hide show
  1. granger_causality_testing.ipynb +2155 -72
granger_causality_testing.ipynb CHANGED
@@ -7,7 +7,8 @@
7
  "outputs": [],
8
  "source": [
9
  "import pandas as pd\n",
10
- "import plotly.express as px"
 
11
  ]
12
  },
13
  {
@@ -25,6 +26,17 @@
25
  "cell_type": "code",
26
  "execution_count": 3,
27
  "metadata": {},
 
 
 
 
 
 
 
 
 
 
 
28
  "outputs": [
29
  {
30
  "data": {
@@ -189,7 +201,7 @@
189
  "[518 rows x 7 columns]"
190
  ]
191
  },
192
- "execution_count": 3,
193
  "metadata": {},
194
  "output_type": "execute_result"
195
  }
@@ -200,17 +212,17 @@
200
  },
201
  {
202
  "cell_type": "code",
203
- "execution_count": 4,
204
  "metadata": {},
205
  "outputs": [],
206
  "source": [
207
- "df = pd.merge(df_apple[['Date', 'Price']], df_walmart[['Date', 'Price']], on='Date', how='right').rename(columns = {'Adj Close_x':'apple', 'Adj Close_y':'walmart'})\n",
208
- "df = df.merge(df_tesla[['Date', 'Price']], on='Date', how='right').rename(columns={'Adj Close':'tesla'})"
209
  ]
210
  },
211
  {
212
  "cell_type": "code",
213
- "execution_count": 5,
214
  "metadata": {},
215
  "outputs": [
216
  {
@@ -235,9 +247,9 @@
235
  " <tr style=\"text-align: right;\">\n",
236
  " <th></th>\n",
237
  " <th>Date</th>\n",
238
- " <th>Price_x</th>\n",
239
- " <th>Price_y</th>\n",
240
- " <th>Price</th>\n",
241
  " </tr>\n",
242
  " </thead>\n",
243
  " <tbody>\n",
@@ -324,23 +336,23 @@
324
  "</div>"
325
  ],
326
  "text/plain": [
327
- " Date Price_x Price_y Price\n",
328
- "0 02/01/2024 182.52 175.56 191.97\n",
329
- "1 01/01/2024 184.40 165.25 187.29\n",
330
- "2 12/01/2023 192.53 157.65 248.48\n",
331
- "3 11/01/2023 189.95 155.69 240.08\n",
332
- "4 10/01/2023 170.77 163.41 200.84\n",
333
- ".. ... ... ... ...\n",
334
- "159 11/01/2010 11.11 54.09 2.36\n",
335
- "160 10/01/2010 10.75 54.17 1.46\n",
336
- "161 09/01/2010 10.13 53.52 1.36\n",
337
- "162 08/01/2010 8.68 50.14 1.30\n",
338
- "163 07/01/2010 9.19 51.19 1.33\n",
339
  "\n",
340
  "[164 rows x 4 columns]"
341
  ]
342
  },
343
- "execution_count": 5,
344
  "metadata": {},
345
  "output_type": "execute_result"
346
  }
@@ -351,7 +363,7 @@
351
  },
352
  {
353
  "cell_type": "code",
354
- "execution_count": 6,
355
  "metadata": {},
356
  "outputs": [],
357
  "source": [
@@ -360,7 +372,7 @@
360
  },
361
  {
362
  "cell_type": "code",
363
- "execution_count": 7,
364
  "metadata": {},
365
  "outputs": [
366
  {
@@ -385,9 +397,9 @@
385
  " <tr style=\"text-align: right;\">\n",
386
  " <th></th>\n",
387
  " <th>Date</th>\n",
388
- " <th>Price_x</th>\n",
389
- " <th>Price_y</th>\n",
390
- " <th>Price</th>\n",
391
  " </tr>\n",
392
  " </thead>\n",
393
  " <tbody>\n",
@@ -474,23 +486,23 @@
474
  "</div>"
475
  ],
476
  "text/plain": [
477
- " Date Price_x Price_y Price\n",
478
- "0 2024-02-01 182.52 175.56 191.97\n",
479
- "1 2024-01-01 184.40 165.25 187.29\n",
480
- "2 2023-12-01 192.53 157.65 248.48\n",
481
- "3 2023-11-01 189.95 155.69 240.08\n",
482
- "4 2023-10-01 170.77 163.41 200.84\n",
483
- ".. ... ... ... ...\n",
484
- "159 2010-11-01 11.11 54.09 2.36\n",
485
- "160 2010-10-01 10.75 54.17 1.46\n",
486
- "161 2010-09-01 10.13 53.52 1.36\n",
487
- "162 2010-08-01 8.68 50.14 1.30\n",
488
- "163 2010-07-01 9.19 51.19 1.33\n",
489
  "\n",
490
  "[164 rows x 4 columns]"
491
  ]
492
  },
493
- "execution_count": 7,
494
  "metadata": {},
495
  "output_type": "execute_result"
496
  }
@@ -501,7 +513,7 @@
501
  },
502
  {
503
  "cell_type": "code",
504
- "execution_count": 8,
505
  "metadata": {},
506
  "outputs": [],
507
  "source": [
@@ -510,7 +522,7 @@
510
  },
511
  {
512
  "cell_type": "code",
513
- "execution_count": 9,
514
  "metadata": {},
515
  "outputs": [
516
  {
@@ -534,9 +546,9 @@
534
  " <thead>\n",
535
  " <tr style=\"text-align: right;\">\n",
536
  " <th>company</th>\n",
537
- " <th>Price_x</th>\n",
538
- " <th>Price_y</th>\n",
539
- " <th>Price</th>\n",
540
  " </tr>\n",
541
  " <tr>\n",
542
  " <th>Date</th>\n",
@@ -618,24 +630,24 @@
618
  "</div>"
619
  ],
620
  "text/plain": [
621
- "company Price_x Price_y Price\n",
622
- "Date \n",
623
- "2024-02-01 182.52 175.56 191.97\n",
624
- "2024-01-01 184.40 165.25 187.29\n",
625
- "2023-12-01 192.53 157.65 248.48\n",
626
- "2023-11-01 189.95 155.69 240.08\n",
627
- "2023-10-01 170.77 163.41 200.84\n",
628
- "... ... ... ...\n",
629
- "2010-11-01 11.11 54.09 2.36\n",
630
- "2010-10-01 10.75 54.17 1.46\n",
631
- "2010-09-01 10.13 53.52 1.36\n",
632
- "2010-08-01 8.68 50.14 1.30\n",
633
- "2010-07-01 9.19 51.19 1.33\n",
634
  "\n",
635
  "[164 rows x 3 columns]"
636
  ]
637
  },
638
- "execution_count": 9,
639
  "metadata": {},
640
  "output_type": "execute_result"
641
  }
@@ -646,7 +658,7 @@
646
  },
647
  {
648
  "cell_type": "code",
649
- "execution_count": 10,
650
  "metadata": {},
651
  "outputs": [
652
  {
@@ -657,8 +669,8 @@
657
  },
658
  "data": [
659
  {
660
- "hovertemplate": "company=Price_x<br>Date=%{x}<br>value=%{y}<extra></extra>",
661
- "legendgroup": "Price_x",
662
  "line": {
663
  "color": "#636efa",
664
  "dash": "solid"
@@ -667,7 +679,7 @@
667
  "symbol": "circle"
668
  },
669
  "mode": "lines",
670
- "name": "Price_x",
671
  "orientation": "v",
672
  "showlegend": true,
673
  "type": "scatter",
@@ -1007,8 +1019,8 @@
1007
  "yaxis": "y3"
1008
  },
1009
  {
1010
- "hovertemplate": "company=Price_y<br>Date=%{x}<br>value=%{y}<extra></extra>",
1011
- "legendgroup": "Price_y",
1012
  "line": {
1013
  "color": "#EF553B",
1014
  "dash": "solid"
@@ -1017,7 +1029,7 @@
1017
  "symbol": "circle"
1018
  },
1019
  "mode": "lines",
1020
- "name": "Price_y",
1021
  "orientation": "v",
1022
  "showlegend": true,
1023
  "type": "scatter",
@@ -1357,8 +1369,8 @@
1357
  "yaxis": "y2"
1358
  },
1359
  {
1360
- "hovertemplate": "company=Price<br>Date=%{x}<br>value=%{y}<extra></extra>",
1361
- "legendgroup": "Price",
1362
  "line": {
1363
  "color": "#00cc96",
1364
  "dash": "solid"
@@ -1367,7 +1379,7 @@
1367
  "symbol": "circle"
1368
  },
1369
  "mode": "lines",
1370
- "name": "Price",
1371
  "orientation": "v",
1372
  "showlegend": true,
1373
  "type": "scatter",
@@ -1712,7 +1724,7 @@
1712
  {
1713
  "font": {},
1714
  "showarrow": false,
1715
- "text": "company=Price",
1716
  "x": 0.5,
1717
  "xanchor": "center",
1718
  "xref": "paper",
@@ -1723,7 +1735,7 @@
1723
  {
1724
  "font": {},
1725
  "showarrow": false,
1726
- "text": "company=Price_y",
1727
  "x": 0.5,
1728
  "xanchor": "center",
1729
  "xref": "paper",
@@ -1734,7 +1746,7 @@
1734
  {
1735
  "font": {},
1736
  "showarrow": false,
1737
- "text": "company=Price_x",
1738
  "x": 0.5,
1739
  "xanchor": "center",
1740
  "xref": "paper",
@@ -2639,6 +2651,2077 @@
2639
  "fig.show()"
2640
  ]
2641
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2642
  {
2643
  "cell_type": "code",
2644
  "execution_count": null,
 
7
  "outputs": [],
8
  "source": [
9
  "import pandas as pd\n",
10
+ "import plotly.express as px\n",
11
+ "from statsmodels.tsa.stattools import adfuller"
12
  ]
13
  },
14
  {
 
26
  "cell_type": "code",
27
  "execution_count": 3,
28
  "metadata": {},
29
+ "outputs": [],
30
+ "source": [
31
+ "# df_apple.rename(columns = {'Price':'apple'}, inplace = True)\n",
32
+ "# df_walmart.rename(columns = {'Price':'walmart'}, inplace = True)\n",
33
+ "# df_tesla.rename(columns = {'Price':'tesla'}, inplace = True)"
34
+ ]
35
+ },
36
+ {
37
+ "cell_type": "code",
38
+ "execution_count": 4,
39
+ "metadata": {},
40
  "outputs": [
41
  {
42
  "data": {
 
201
  "[518 rows x 7 columns]"
202
  ]
203
  },
204
+ "execution_count": 4,
205
  "metadata": {},
206
  "output_type": "execute_result"
207
  }
 
212
  },
213
  {
214
  "cell_type": "code",
215
+ "execution_count": 5,
216
  "metadata": {},
217
  "outputs": [],
218
  "source": [
219
+ "df = pd.merge(df_apple[['Date', 'Price']], df_walmart[['Date', 'Price']], on='Date', how='right').rename(columns = {'Price_x':'apple', 'Price_y':'walmart'})\n",
220
+ "df = df.merge(df_tesla[['Date', 'Price']], on='Date', how='right').rename(columns={'Price':'tesla'})"
221
  ]
222
  },
223
  {
224
  "cell_type": "code",
225
+ "execution_count": 6,
226
  "metadata": {},
227
  "outputs": [
228
  {
 
247
  " <tr style=\"text-align: right;\">\n",
248
  " <th></th>\n",
249
  " <th>Date</th>\n",
250
+ " <th>apple</th>\n",
251
+ " <th>walmart</th>\n",
252
+ " <th>tesla</th>\n",
253
  " </tr>\n",
254
  " </thead>\n",
255
  " <tbody>\n",
 
336
  "</div>"
337
  ],
338
  "text/plain": [
339
+ " Date apple walmart tesla\n",
340
+ "0 02/01/2024 182.52 175.56 191.97\n",
341
+ "1 01/01/2024 184.40 165.25 187.29\n",
342
+ "2 12/01/2023 192.53 157.65 248.48\n",
343
+ "3 11/01/2023 189.95 155.69 240.08\n",
344
+ "4 10/01/2023 170.77 163.41 200.84\n",
345
+ ".. ... ... ... ...\n",
346
+ "159 11/01/2010 11.11 54.09 2.36\n",
347
+ "160 10/01/2010 10.75 54.17 1.46\n",
348
+ "161 09/01/2010 10.13 53.52 1.36\n",
349
+ "162 08/01/2010 8.68 50.14 1.30\n",
350
+ "163 07/01/2010 9.19 51.19 1.33\n",
351
  "\n",
352
  "[164 rows x 4 columns]"
353
  ]
354
  },
355
+ "execution_count": 6,
356
  "metadata": {},
357
  "output_type": "execute_result"
358
  }
 
363
  },
364
  {
365
  "cell_type": "code",
366
+ "execution_count": 7,
367
  "metadata": {},
368
  "outputs": [],
369
  "source": [
 
372
  },
373
  {
374
  "cell_type": "code",
375
+ "execution_count": 8,
376
  "metadata": {},
377
  "outputs": [
378
  {
 
397
  " <tr style=\"text-align: right;\">\n",
398
  " <th></th>\n",
399
  " <th>Date</th>\n",
400
+ " <th>apple</th>\n",
401
+ " <th>walmart</th>\n",
402
+ " <th>tesla</th>\n",
403
  " </tr>\n",
404
  " </thead>\n",
405
  " <tbody>\n",
 
486
  "</div>"
487
  ],
488
  "text/plain": [
489
+ " Date apple walmart tesla\n",
490
+ "0 2024-02-01 182.52 175.56 191.97\n",
491
+ "1 2024-01-01 184.40 165.25 187.29\n",
492
+ "2 2023-12-01 192.53 157.65 248.48\n",
493
+ "3 2023-11-01 189.95 155.69 240.08\n",
494
+ "4 2023-10-01 170.77 163.41 200.84\n",
495
+ ".. ... ... ... ...\n",
496
+ "159 2010-11-01 11.11 54.09 2.36\n",
497
+ "160 2010-10-01 10.75 54.17 1.46\n",
498
+ "161 2010-09-01 10.13 53.52 1.36\n",
499
+ "162 2010-08-01 8.68 50.14 1.30\n",
500
+ "163 2010-07-01 9.19 51.19 1.33\n",
501
  "\n",
502
  "[164 rows x 4 columns]"
503
  ]
504
  },
505
+ "execution_count": 8,
506
  "metadata": {},
507
  "output_type": "execute_result"
508
  }
 
513
  },
514
  {
515
  "cell_type": "code",
516
+ "execution_count": 9,
517
  "metadata": {},
518
  "outputs": [],
519
  "source": [
 
522
  },
523
  {
524
  "cell_type": "code",
525
+ "execution_count": 10,
526
  "metadata": {},
527
  "outputs": [
528
  {
 
546
  " <thead>\n",
547
  " <tr style=\"text-align: right;\">\n",
548
  " <th>company</th>\n",
549
+ " <th>apple</th>\n",
550
+ " <th>walmart</th>\n",
551
+ " <th>tesla</th>\n",
552
  " </tr>\n",
553
  " <tr>\n",
554
  " <th>Date</th>\n",
 
630
  "</div>"
631
  ],
632
  "text/plain": [
633
+ "company apple walmart tesla\n",
634
+ "Date \n",
635
+ "2024-02-01 182.52 175.56 191.97\n",
636
+ "2024-01-01 184.40 165.25 187.29\n",
637
+ "2023-12-01 192.53 157.65 248.48\n",
638
+ "2023-11-01 189.95 155.69 240.08\n",
639
+ "2023-10-01 170.77 163.41 200.84\n",
640
+ "... ... ... ...\n",
641
+ "2010-11-01 11.11 54.09 2.36\n",
642
+ "2010-10-01 10.75 54.17 1.46\n",
643
+ "2010-09-01 10.13 53.52 1.36\n",
644
+ "2010-08-01 8.68 50.14 1.30\n",
645
+ "2010-07-01 9.19 51.19 1.33\n",
646
  "\n",
647
  "[164 rows x 3 columns]"
648
  ]
649
  },
650
+ "execution_count": 10,
651
  "metadata": {},
652
  "output_type": "execute_result"
653
  }
 
658
  },
659
  {
660
  "cell_type": "code",
661
+ "execution_count": 11,
662
  "metadata": {},
663
  "outputs": [
664
  {
 
669
  },
670
  "data": [
671
  {
672
+ "hovertemplate": "company=apple<br>Date=%{x}<br>value=%{y}<extra></extra>",
673
+ "legendgroup": "apple",
674
  "line": {
675
  "color": "#636efa",
676
  "dash": "solid"
 
679
  "symbol": "circle"
680
  },
681
  "mode": "lines",
682
+ "name": "apple",
683
  "orientation": "v",
684
  "showlegend": true,
685
  "type": "scatter",
 
1019
  "yaxis": "y3"
1020
  },
1021
  {
1022
+ "hovertemplate": "company=walmart<br>Date=%{x}<br>value=%{y}<extra></extra>",
1023
+ "legendgroup": "walmart",
1024
  "line": {
1025
  "color": "#EF553B",
1026
  "dash": "solid"
 
1029
  "symbol": "circle"
1030
  },
1031
  "mode": "lines",
1032
+ "name": "walmart",
1033
  "orientation": "v",
1034
  "showlegend": true,
1035
  "type": "scatter",
 
1369
  "yaxis": "y2"
1370
  },
1371
  {
1372
+ "hovertemplate": "company=tesla<br>Date=%{x}<br>value=%{y}<extra></extra>",
1373
+ "legendgroup": "tesla",
1374
  "line": {
1375
  "color": "#00cc96",
1376
  "dash": "solid"
 
1379
  "symbol": "circle"
1380
  },
1381
  "mode": "lines",
1382
+ "name": "tesla",
1383
  "orientation": "v",
1384
  "showlegend": true,
1385
  "type": "scatter",
 
1724
  {
1725
  "font": {},
1726
  "showarrow": false,
1727
+ "text": "company=tesla",
1728
  "x": 0.5,
1729
  "xanchor": "center",
1730
  "xref": "paper",
 
1735
  {
1736
  "font": {},
1737
  "showarrow": false,
1738
+ "text": "company=walmart",
1739
  "x": 0.5,
1740
  "xanchor": "center",
1741
  "xref": "paper",
 
1746
  {
1747
  "font": {},
1748
  "showarrow": false,
1749
+ "text": "company=apple",
1750
  "x": 0.5,
1751
  "xanchor": "center",
1752
  "xref": "paper",
 
2651
  "fig.show()"
2652
  ]
2653
  },
2654
+ {
2655
+ "cell_type": "code",
2656
+ "execution_count": 12,
2657
+ "metadata": {},
2658
+ "outputs": [
2659
+ {
2660
+ "data": {
2661
+ "application/vnd.plotly.v1+json": {
2662
+ "config": {
2663
+ "plotlyServerURL": "https://plot.ly"
2664
+ },
2665
+ "data": [
2666
+ {
2667
+ "fillpattern": {
2668
+ "shape": ""
2669
+ },
2670
+ "hovertemplate": "company=apple<br>Date=%{x}<br>value=%{y}<extra></extra>",
2671
+ "legendgroup": "apple",
2672
+ "line": {
2673
+ "color": "#636efa"
2674
+ },
2675
+ "marker": {
2676
+ "symbol": "circle"
2677
+ },
2678
+ "mode": "lines",
2679
+ "name": "apple",
2680
+ "orientation": "v",
2681
+ "showlegend": true,
2682
+ "stackgroup": "1",
2683
+ "type": "scatter",
2684
+ "x": [
2685
+ "2024-02-01T00:00:00",
2686
+ "2024-01-01T00:00:00",
2687
+ "2023-12-01T00:00:00",
2688
+ "2023-11-01T00:00:00",
2689
+ "2023-10-01T00:00:00",
2690
+ "2023-09-01T00:00:00",
2691
+ "2023-08-01T00:00:00",
2692
+ "2023-07-01T00:00:00",
2693
+ "2023-06-01T00:00:00",
2694
+ "2023-05-01T00:00:00",
2695
+ "2023-04-01T00:00:00",
2696
+ "2023-03-01T00:00:00",
2697
+ "2023-02-01T00:00:00",
2698
+ "2023-01-01T00:00:00",
2699
+ "2022-12-01T00:00:00",
2700
+ "2022-11-01T00:00:00",
2701
+ "2022-10-01T00:00:00",
2702
+ "2022-09-01T00:00:00",
2703
+ "2022-08-01T00:00:00",
2704
+ "2022-07-01T00:00:00",
2705
+ "2022-06-01T00:00:00",
2706
+ "2022-05-01T00:00:00",
2707
+ "2022-04-01T00:00:00",
2708
+ "2022-03-01T00:00:00",
2709
+ "2022-02-01T00:00:00",
2710
+ "2022-01-01T00:00:00",
2711
+ "2021-12-01T00:00:00",
2712
+ "2021-11-01T00:00:00",
2713
+ "2021-10-01T00:00:00",
2714
+ "2021-09-01T00:00:00",
2715
+ "2021-08-01T00:00:00",
2716
+ "2021-07-01T00:00:00",
2717
+ "2021-06-01T00:00:00",
2718
+ "2021-05-01T00:00:00",
2719
+ "2021-04-01T00:00:00",
2720
+ "2021-03-01T00:00:00",
2721
+ "2021-02-01T00:00:00",
2722
+ "2021-01-01T00:00:00",
2723
+ "2020-12-01T00:00:00",
2724
+ "2020-11-01T00:00:00",
2725
+ "2020-10-01T00:00:00",
2726
+ "2020-09-01T00:00:00",
2727
+ "2020-08-01T00:00:00",
2728
+ "2020-07-01T00:00:00",
2729
+ "2020-06-01T00:00:00",
2730
+ "2020-05-01T00:00:00",
2731
+ "2020-04-01T00:00:00",
2732
+ "2020-03-01T00:00:00",
2733
+ "2020-02-01T00:00:00",
2734
+ "2020-01-01T00:00:00",
2735
+ "2019-12-01T00:00:00",
2736
+ "2019-11-01T00:00:00",
2737
+ "2019-10-01T00:00:00",
2738
+ "2019-09-01T00:00:00",
2739
+ "2019-08-01T00:00:00",
2740
+ "2019-07-01T00:00:00",
2741
+ "2019-06-01T00:00:00",
2742
+ "2019-05-01T00:00:00",
2743
+ "2019-04-01T00:00:00",
2744
+ "2019-03-01T00:00:00",
2745
+ "2019-02-01T00:00:00",
2746
+ "2019-01-01T00:00:00",
2747
+ "2018-12-01T00:00:00",
2748
+ "2018-11-01T00:00:00",
2749
+ "2018-10-01T00:00:00",
2750
+ "2018-09-01T00:00:00",
2751
+ "2018-08-01T00:00:00",
2752
+ "2018-07-01T00:00:00",
2753
+ "2018-06-01T00:00:00",
2754
+ "2018-05-01T00:00:00",
2755
+ "2018-04-01T00:00:00",
2756
+ "2018-03-01T00:00:00",
2757
+ "2018-02-01T00:00:00",
2758
+ "2018-01-01T00:00:00",
2759
+ "2017-12-01T00:00:00",
2760
+ "2017-11-01T00:00:00",
2761
+ "2017-10-01T00:00:00",
2762
+ "2017-09-01T00:00:00",
2763
+ "2017-08-01T00:00:00",
2764
+ "2017-07-01T00:00:00",
2765
+ "2017-06-01T00:00:00",
2766
+ "2017-05-01T00:00:00",
2767
+ "2017-04-01T00:00:00",
2768
+ "2017-03-01T00:00:00",
2769
+ "2017-02-01T00:00:00",
2770
+ "2017-01-01T00:00:00",
2771
+ "2016-12-01T00:00:00",
2772
+ "2016-11-01T00:00:00",
2773
+ "2016-10-01T00:00:00",
2774
+ "2016-09-01T00:00:00",
2775
+ "2016-08-01T00:00:00",
2776
+ "2016-07-01T00:00:00",
2777
+ "2016-06-01T00:00:00",
2778
+ "2016-05-01T00:00:00",
2779
+ "2016-04-01T00:00:00",
2780
+ "2016-03-01T00:00:00",
2781
+ "2016-02-01T00:00:00",
2782
+ "2016-01-01T00:00:00",
2783
+ "2015-12-01T00:00:00",
2784
+ "2015-11-01T00:00:00",
2785
+ "2015-10-01T00:00:00",
2786
+ "2015-09-01T00:00:00",
2787
+ "2015-08-01T00:00:00",
2788
+ "2015-07-01T00:00:00",
2789
+ "2015-06-01T00:00:00",
2790
+ "2015-05-01T00:00:00",
2791
+ "2015-04-01T00:00:00",
2792
+ "2015-03-01T00:00:00",
2793
+ "2015-02-01T00:00:00",
2794
+ "2015-01-01T00:00:00",
2795
+ "2014-12-01T00:00:00",
2796
+ "2014-11-01T00:00:00",
2797
+ "2014-10-01T00:00:00",
2798
+ "2014-09-01T00:00:00",
2799
+ "2014-08-01T00:00:00",
2800
+ "2014-07-01T00:00:00",
2801
+ "2014-06-01T00:00:00",
2802
+ "2014-05-01T00:00:00",
2803
+ "2014-04-01T00:00:00",
2804
+ "2014-03-01T00:00:00",
2805
+ "2014-02-01T00:00:00",
2806
+ "2014-01-01T00:00:00",
2807
+ "2013-12-01T00:00:00",
2808
+ "2013-11-01T00:00:00",
2809
+ "2013-10-01T00:00:00",
2810
+ "2013-09-01T00:00:00",
2811
+ "2013-08-01T00:00:00",
2812
+ "2013-07-01T00:00:00",
2813
+ "2013-06-01T00:00:00",
2814
+ "2013-05-01T00:00:00",
2815
+ "2013-04-01T00:00:00",
2816
+ "2013-03-01T00:00:00",
2817
+ "2013-02-01T00:00:00",
2818
+ "2013-01-01T00:00:00",
2819
+ "2012-12-01T00:00:00",
2820
+ "2012-11-01T00:00:00",
2821
+ "2012-10-01T00:00:00",
2822
+ "2012-09-01T00:00:00",
2823
+ "2012-08-01T00:00:00",
2824
+ "2012-07-01T00:00:00",
2825
+ "2012-06-01T00:00:00",
2826
+ "2012-05-01T00:00:00",
2827
+ "2012-04-01T00:00:00",
2828
+ "2012-03-01T00:00:00",
2829
+ "2012-02-01T00:00:00",
2830
+ "2012-01-01T00:00:00",
2831
+ "2011-12-01T00:00:00",
2832
+ "2011-11-01T00:00:00",
2833
+ "2011-10-01T00:00:00",
2834
+ "2011-09-01T00:00:00",
2835
+ "2011-08-01T00:00:00",
2836
+ "2011-07-01T00:00:00",
2837
+ "2011-06-01T00:00:00",
2838
+ "2011-05-01T00:00:00",
2839
+ "2011-04-01T00:00:00",
2840
+ "2011-03-01T00:00:00",
2841
+ "2011-02-01T00:00:00",
2842
+ "2011-01-01T00:00:00",
2843
+ "2010-12-01T00:00:00",
2844
+ "2010-11-01T00:00:00",
2845
+ "2010-10-01T00:00:00",
2846
+ "2010-09-01T00:00:00",
2847
+ "2010-08-01T00:00:00",
2848
+ "2010-07-01T00:00:00"
2849
+ ],
2850
+ "xaxis": "x3",
2851
+ "y": [
2852
+ 182.52,
2853
+ 184.4,
2854
+ 192.53,
2855
+ 189.95,
2856
+ 170.77,
2857
+ 171.21,
2858
+ 187.87,
2859
+ 196.45,
2860
+ 193.97,
2861
+ 177.25,
2862
+ 169.68,
2863
+ 164.9,
2864
+ 147.41,
2865
+ 144.29,
2866
+ 129.93,
2867
+ 148.03,
2868
+ 153.34,
2869
+ 138.2,
2870
+ 157.22,
2871
+ 162.51,
2872
+ 136.72,
2873
+ 148.84,
2874
+ 157.65,
2875
+ 174.61,
2876
+ 165.12,
2877
+ 174.78,
2878
+ 177.57,
2879
+ 165.3,
2880
+ 149.8,
2881
+ 141.5,
2882
+ 151.83,
2883
+ 145.86,
2884
+ 136.96,
2885
+ 124.61,
2886
+ 131.46,
2887
+ 122.15,
2888
+ 121.26,
2889
+ 131.96,
2890
+ 132.69,
2891
+ 119.05,
2892
+ 108.86,
2893
+ 115.81,
2894
+ 129.04,
2895
+ 106.26,
2896
+ 91.2,
2897
+ 79.49,
2898
+ 73.45,
2899
+ 63.57,
2900
+ 68.34,
2901
+ 77.38,
2902
+ 73.41,
2903
+ 66.81,
2904
+ 62.19,
2905
+ 55.99,
2906
+ 52.19,
2907
+ 53.26,
2908
+ 49.48,
2909
+ 43.77,
2910
+ 50.17,
2911
+ 47.49,
2912
+ 43.29,
2913
+ 41.61,
2914
+ 39.44,
2915
+ 44.65,
2916
+ 54.72,
2917
+ 56.44,
2918
+ 56.91,
2919
+ 47.57,
2920
+ 46.28,
2921
+ 46.72,
2922
+ 41.31,
2923
+ 41.94,
2924
+ 44.53,
2925
+ 41.86,
2926
+ 42.31,
2927
+ 42.96,
2928
+ 42.26,
2929
+ 38.53,
2930
+ 41,
2931
+ 37.18,
2932
+ 36.01,
2933
+ 38.19,
2934
+ 35.91,
2935
+ 35.92,
2936
+ 34.25,
2937
+ 30.34,
2938
+ 28.95,
2939
+ 27.63,
2940
+ 28.39,
2941
+ 28.26,
2942
+ 26.52,
2943
+ 26.05,
2944
+ 23.9,
2945
+ 24.97,
2946
+ 23.43,
2947
+ 27.25,
2948
+ 24.17,
2949
+ 24.33,
2950
+ 26.32,
2951
+ 29.58,
2952
+ 29.88,
2953
+ 27.58,
2954
+ 28.19,
2955
+ 30.33,
2956
+ 31.36,
2957
+ 32.57,
2958
+ 31.29,
2959
+ 31.11,
2960
+ 32.12,
2961
+ 29.29,
2962
+ 27.59,
2963
+ 29.73,
2964
+ 27,
2965
+ 25.19,
2966
+ 25.63,
2967
+ 23.9,
2968
+ 23.23,
2969
+ 22.61,
2970
+ 21.07,
2971
+ 19.17,
2972
+ 18.79,
2973
+ 17.88,
2974
+ 20.04,
2975
+ 19.86,
2976
+ 18.67,
2977
+ 17.03,
2978
+ 17.4,
2979
+ 16.16,
2980
+ 14.16,
2981
+ 16.06,
2982
+ 15.81,
2983
+ 15.81,
2984
+ 15.76,
2985
+ 16.27,
2986
+ 19.01,
2987
+ 20.9,
2988
+ 21.26,
2989
+ 23.83,
2990
+ 23.76,
2991
+ 21.81,
2992
+ 20.86,
2993
+ 20.63,
2994
+ 20.86,
2995
+ 21.41,
2996
+ 19.37,
2997
+ 16.3,
2998
+ 14.46,
2999
+ 13.65,
3000
+ 14.46,
3001
+ 13.62,
3002
+ 13.74,
3003
+ 13.95,
3004
+ 11.99,
3005
+ 12.42,
3006
+ 12.5,
3007
+ 12.45,
3008
+ 12.61,
3009
+ 12.12,
3010
+ 11.52,
3011
+ 11.11,
3012
+ 10.75,
3013
+ 10.13,
3014
+ 8.68,
3015
+ 9.19
3016
+ ],
3017
+ "yaxis": "y3"
3018
+ },
3019
+ {
3020
+ "fillpattern": {
3021
+ "shape": ""
3022
+ },
3023
+ "hovertemplate": "company=walmart<br>Date=%{x}<br>value=%{y}<extra></extra>",
3024
+ "legendgroup": "walmart",
3025
+ "line": {
3026
+ "color": "#EF553B"
3027
+ },
3028
+ "marker": {
3029
+ "symbol": "circle"
3030
+ },
3031
+ "mode": "lines",
3032
+ "name": "walmart",
3033
+ "orientation": "v",
3034
+ "showlegend": true,
3035
+ "stackgroup": "1",
3036
+ "type": "scatter",
3037
+ "x": [
3038
+ "2024-02-01T00:00:00",
3039
+ "2024-01-01T00:00:00",
3040
+ "2023-12-01T00:00:00",
3041
+ "2023-11-01T00:00:00",
3042
+ "2023-10-01T00:00:00",
3043
+ "2023-09-01T00:00:00",
3044
+ "2023-08-01T00:00:00",
3045
+ "2023-07-01T00:00:00",
3046
+ "2023-06-01T00:00:00",
3047
+ "2023-05-01T00:00:00",
3048
+ "2023-04-01T00:00:00",
3049
+ "2023-03-01T00:00:00",
3050
+ "2023-02-01T00:00:00",
3051
+ "2023-01-01T00:00:00",
3052
+ "2022-12-01T00:00:00",
3053
+ "2022-11-01T00:00:00",
3054
+ "2022-10-01T00:00:00",
3055
+ "2022-09-01T00:00:00",
3056
+ "2022-08-01T00:00:00",
3057
+ "2022-07-01T00:00:00",
3058
+ "2022-06-01T00:00:00",
3059
+ "2022-05-01T00:00:00",
3060
+ "2022-04-01T00:00:00",
3061
+ "2022-03-01T00:00:00",
3062
+ "2022-02-01T00:00:00",
3063
+ "2022-01-01T00:00:00",
3064
+ "2021-12-01T00:00:00",
3065
+ "2021-11-01T00:00:00",
3066
+ "2021-10-01T00:00:00",
3067
+ "2021-09-01T00:00:00",
3068
+ "2021-08-01T00:00:00",
3069
+ "2021-07-01T00:00:00",
3070
+ "2021-06-01T00:00:00",
3071
+ "2021-05-01T00:00:00",
3072
+ "2021-04-01T00:00:00",
3073
+ "2021-03-01T00:00:00",
3074
+ "2021-02-01T00:00:00",
3075
+ "2021-01-01T00:00:00",
3076
+ "2020-12-01T00:00:00",
3077
+ "2020-11-01T00:00:00",
3078
+ "2020-10-01T00:00:00",
3079
+ "2020-09-01T00:00:00",
3080
+ "2020-08-01T00:00:00",
3081
+ "2020-07-01T00:00:00",
3082
+ "2020-06-01T00:00:00",
3083
+ "2020-05-01T00:00:00",
3084
+ "2020-04-01T00:00:00",
3085
+ "2020-03-01T00:00:00",
3086
+ "2020-02-01T00:00:00",
3087
+ "2020-01-01T00:00:00",
3088
+ "2019-12-01T00:00:00",
3089
+ "2019-11-01T00:00:00",
3090
+ "2019-10-01T00:00:00",
3091
+ "2019-09-01T00:00:00",
3092
+ "2019-08-01T00:00:00",
3093
+ "2019-07-01T00:00:00",
3094
+ "2019-06-01T00:00:00",
3095
+ "2019-05-01T00:00:00",
3096
+ "2019-04-01T00:00:00",
3097
+ "2019-03-01T00:00:00",
3098
+ "2019-02-01T00:00:00",
3099
+ "2019-01-01T00:00:00",
3100
+ "2018-12-01T00:00:00",
3101
+ "2018-11-01T00:00:00",
3102
+ "2018-10-01T00:00:00",
3103
+ "2018-09-01T00:00:00",
3104
+ "2018-08-01T00:00:00",
3105
+ "2018-07-01T00:00:00",
3106
+ "2018-06-01T00:00:00",
3107
+ "2018-05-01T00:00:00",
3108
+ "2018-04-01T00:00:00",
3109
+ "2018-03-01T00:00:00",
3110
+ "2018-02-01T00:00:00",
3111
+ "2018-01-01T00:00:00",
3112
+ "2017-12-01T00:00:00",
3113
+ "2017-11-01T00:00:00",
3114
+ "2017-10-01T00:00:00",
3115
+ "2017-09-01T00:00:00",
3116
+ "2017-08-01T00:00:00",
3117
+ "2017-07-01T00:00:00",
3118
+ "2017-06-01T00:00:00",
3119
+ "2017-05-01T00:00:00",
3120
+ "2017-04-01T00:00:00",
3121
+ "2017-03-01T00:00:00",
3122
+ "2017-02-01T00:00:00",
3123
+ "2017-01-01T00:00:00",
3124
+ "2016-12-01T00:00:00",
3125
+ "2016-11-01T00:00:00",
3126
+ "2016-10-01T00:00:00",
3127
+ "2016-09-01T00:00:00",
3128
+ "2016-08-01T00:00:00",
3129
+ "2016-07-01T00:00:00",
3130
+ "2016-06-01T00:00:00",
3131
+ "2016-05-01T00:00:00",
3132
+ "2016-04-01T00:00:00",
3133
+ "2016-03-01T00:00:00",
3134
+ "2016-02-01T00:00:00",
3135
+ "2016-01-01T00:00:00",
3136
+ "2015-12-01T00:00:00",
3137
+ "2015-11-01T00:00:00",
3138
+ "2015-10-01T00:00:00",
3139
+ "2015-09-01T00:00:00",
3140
+ "2015-08-01T00:00:00",
3141
+ "2015-07-01T00:00:00",
3142
+ "2015-06-01T00:00:00",
3143
+ "2015-05-01T00:00:00",
3144
+ "2015-04-01T00:00:00",
3145
+ "2015-03-01T00:00:00",
3146
+ "2015-02-01T00:00:00",
3147
+ "2015-01-01T00:00:00",
3148
+ "2014-12-01T00:00:00",
3149
+ "2014-11-01T00:00:00",
3150
+ "2014-10-01T00:00:00",
3151
+ "2014-09-01T00:00:00",
3152
+ "2014-08-01T00:00:00",
3153
+ "2014-07-01T00:00:00",
3154
+ "2014-06-01T00:00:00",
3155
+ "2014-05-01T00:00:00",
3156
+ "2014-04-01T00:00:00",
3157
+ "2014-03-01T00:00:00",
3158
+ "2014-02-01T00:00:00",
3159
+ "2014-01-01T00:00:00",
3160
+ "2013-12-01T00:00:00",
3161
+ "2013-11-01T00:00:00",
3162
+ "2013-10-01T00:00:00",
3163
+ "2013-09-01T00:00:00",
3164
+ "2013-08-01T00:00:00",
3165
+ "2013-07-01T00:00:00",
3166
+ "2013-06-01T00:00:00",
3167
+ "2013-05-01T00:00:00",
3168
+ "2013-04-01T00:00:00",
3169
+ "2013-03-01T00:00:00",
3170
+ "2013-02-01T00:00:00",
3171
+ "2013-01-01T00:00:00",
3172
+ "2012-12-01T00:00:00",
3173
+ "2012-11-01T00:00:00",
3174
+ "2012-10-01T00:00:00",
3175
+ "2012-09-01T00:00:00",
3176
+ "2012-08-01T00:00:00",
3177
+ "2012-07-01T00:00:00",
3178
+ "2012-06-01T00:00:00",
3179
+ "2012-05-01T00:00:00",
3180
+ "2012-04-01T00:00:00",
3181
+ "2012-03-01T00:00:00",
3182
+ "2012-02-01T00:00:00",
3183
+ "2012-01-01T00:00:00",
3184
+ "2011-12-01T00:00:00",
3185
+ "2011-11-01T00:00:00",
3186
+ "2011-10-01T00:00:00",
3187
+ "2011-09-01T00:00:00",
3188
+ "2011-08-01T00:00:00",
3189
+ "2011-07-01T00:00:00",
3190
+ "2011-06-01T00:00:00",
3191
+ "2011-05-01T00:00:00",
3192
+ "2011-04-01T00:00:00",
3193
+ "2011-03-01T00:00:00",
3194
+ "2011-02-01T00:00:00",
3195
+ "2011-01-01T00:00:00",
3196
+ "2010-12-01T00:00:00",
3197
+ "2010-11-01T00:00:00",
3198
+ "2010-10-01T00:00:00",
3199
+ "2010-09-01T00:00:00",
3200
+ "2010-08-01T00:00:00",
3201
+ "2010-07-01T00:00:00"
3202
+ ],
3203
+ "xaxis": "x2",
3204
+ "y": [
3205
+ 175.56,
3206
+ 165.25,
3207
+ 157.65,
3208
+ 155.69,
3209
+ 163.41,
3210
+ 159.93,
3211
+ 162.61,
3212
+ 159.86,
3213
+ 157.18,
3214
+ 146.87,
3215
+ 150.97,
3216
+ 147.45,
3217
+ 142.13,
3218
+ 143.87,
3219
+ 141.79,
3220
+ 152.42,
3221
+ 142.33,
3222
+ 129.7,
3223
+ 132.55,
3224
+ 132.05,
3225
+ 121.58,
3226
+ 128.63,
3227
+ 152.99,
3228
+ 148.92,
3229
+ 135.16,
3230
+ 139.81,
3231
+ 144.69,
3232
+ 140.63,
3233
+ 149.42,
3234
+ 139.38,
3235
+ 148.1,
3236
+ 142.55,
3237
+ 141.02,
3238
+ 142.03,
3239
+ 139.91,
3240
+ 135.83,
3241
+ 129.92,
3242
+ 140.49,
3243
+ 144.15,
3244
+ 152.79,
3245
+ 138.75,
3246
+ 139.91,
3247
+ 138.85,
3248
+ 129.4,
3249
+ 119.78,
3250
+ 124.06,
3251
+ 121.55,
3252
+ 113.62,
3253
+ 107.68,
3254
+ 114.49,
3255
+ 118.84,
3256
+ 119.09,
3257
+ 117.26,
3258
+ 118.68,
3259
+ 114.26,
3260
+ 110.38,
3261
+ 110.49,
3262
+ 101.44,
3263
+ 102.84,
3264
+ 97.53,
3265
+ 98.99,
3266
+ 95.83,
3267
+ 93.15,
3268
+ 97.65,
3269
+ 100.28,
3270
+ 93.91,
3271
+ 95.86,
3272
+ 89.23,
3273
+ 85.65,
3274
+ 82.54,
3275
+ 88.46,
3276
+ 88.97,
3277
+ 90.01,
3278
+ 106.6,
3279
+ 98.75,
3280
+ 97.23,
3281
+ 87.31,
3282
+ 78.14,
3283
+ 78.07,
3284
+ 79.99,
3285
+ 75.68,
3286
+ 78.6,
3287
+ 75.18,
3288
+ 72.08,
3289
+ 70.93,
3290
+ 66.74,
3291
+ 69.12,
3292
+ 70.43,
3293
+ 70.02,
3294
+ 72.12,
3295
+ 71.44,
3296
+ 72.97,
3297
+ 73.02,
3298
+ 70.78,
3299
+ 66.87,
3300
+ 68.49,
3301
+ 66.34,
3302
+ 66.36,
3303
+ 61.3,
3304
+ 58.84,
3305
+ 57.24,
3306
+ 64.84,
3307
+ 64.73,
3308
+ 71.98,
3309
+ 70.93,
3310
+ 74.27,
3311
+ 78.05,
3312
+ 82.25,
3313
+ 83.93,
3314
+ 84.98,
3315
+ 85.88,
3316
+ 87.54,
3317
+ 76.27,
3318
+ 76.47,
3319
+ 75.5,
3320
+ 73.58,
3321
+ 75.07,
3322
+ 76.77,
3323
+ 79.71,
3324
+ 76.43,
3325
+ 74.7,
3326
+ 74.68,
3327
+ 78.69,
3328
+ 81.01,
3329
+ 76.75,
3330
+ 73.96,
3331
+ 72.98,
3332
+ 77.94,
3333
+ 74.49,
3334
+ 74.84,
3335
+ 77.72,
3336
+ 74.83,
3337
+ 70.78,
3338
+ 69.95,
3339
+ 68.23,
3340
+ 72.02,
3341
+ 75.02,
3342
+ 73.8,
3343
+ 72.6,
3344
+ 74.43,
3345
+ 69.72,
3346
+ 65.82,
3347
+ 58.91,
3348
+ 61.2,
3349
+ 59.08,
3350
+ 61.36,
3351
+ 59.76,
3352
+ 58.9,
3353
+ 56.72,
3354
+ 51.9,
3355
+ 53.19,
3356
+ 52.71,
3357
+ 53.14,
3358
+ 55.22,
3359
+ 54.98,
3360
+ 52.05,
3361
+ 51.98,
3362
+ 56.07,
3363
+ 53.93,
3364
+ 54.09,
3365
+ 54.17,
3366
+ 53.52,
3367
+ 50.14,
3368
+ 51.19
3369
+ ],
3370
+ "yaxis": "y2"
3371
+ },
3372
+ {
3373
+ "fillpattern": {
3374
+ "shape": ""
3375
+ },
3376
+ "hovertemplate": "company=tesla<br>Date=%{x}<br>value=%{y}<extra></extra>",
3377
+ "legendgroup": "tesla",
3378
+ "line": {
3379
+ "color": "#00cc96"
3380
+ },
3381
+ "marker": {
3382
+ "symbol": "circle"
3383
+ },
3384
+ "mode": "lines",
3385
+ "name": "tesla",
3386
+ "orientation": "v",
3387
+ "showlegend": true,
3388
+ "stackgroup": "1",
3389
+ "type": "scatter",
3390
+ "x": [
3391
+ "2024-02-01T00:00:00",
3392
+ "2024-01-01T00:00:00",
3393
+ "2023-12-01T00:00:00",
3394
+ "2023-11-01T00:00:00",
3395
+ "2023-10-01T00:00:00",
3396
+ "2023-09-01T00:00:00",
3397
+ "2023-08-01T00:00:00",
3398
+ "2023-07-01T00:00:00",
3399
+ "2023-06-01T00:00:00",
3400
+ "2023-05-01T00:00:00",
3401
+ "2023-04-01T00:00:00",
3402
+ "2023-03-01T00:00:00",
3403
+ "2023-02-01T00:00:00",
3404
+ "2023-01-01T00:00:00",
3405
+ "2022-12-01T00:00:00",
3406
+ "2022-11-01T00:00:00",
3407
+ "2022-10-01T00:00:00",
3408
+ "2022-09-01T00:00:00",
3409
+ "2022-08-01T00:00:00",
3410
+ "2022-07-01T00:00:00",
3411
+ "2022-06-01T00:00:00",
3412
+ "2022-05-01T00:00:00",
3413
+ "2022-04-01T00:00:00",
3414
+ "2022-03-01T00:00:00",
3415
+ "2022-02-01T00:00:00",
3416
+ "2022-01-01T00:00:00",
3417
+ "2021-12-01T00:00:00",
3418
+ "2021-11-01T00:00:00",
3419
+ "2021-10-01T00:00:00",
3420
+ "2021-09-01T00:00:00",
3421
+ "2021-08-01T00:00:00",
3422
+ "2021-07-01T00:00:00",
3423
+ "2021-06-01T00:00:00",
3424
+ "2021-05-01T00:00:00",
3425
+ "2021-04-01T00:00:00",
3426
+ "2021-03-01T00:00:00",
3427
+ "2021-02-01T00:00:00",
3428
+ "2021-01-01T00:00:00",
3429
+ "2020-12-01T00:00:00",
3430
+ "2020-11-01T00:00:00",
3431
+ "2020-10-01T00:00:00",
3432
+ "2020-09-01T00:00:00",
3433
+ "2020-08-01T00:00:00",
3434
+ "2020-07-01T00:00:00",
3435
+ "2020-06-01T00:00:00",
3436
+ "2020-05-01T00:00:00",
3437
+ "2020-04-01T00:00:00",
3438
+ "2020-03-01T00:00:00",
3439
+ "2020-02-01T00:00:00",
3440
+ "2020-01-01T00:00:00",
3441
+ "2019-12-01T00:00:00",
3442
+ "2019-11-01T00:00:00",
3443
+ "2019-10-01T00:00:00",
3444
+ "2019-09-01T00:00:00",
3445
+ "2019-08-01T00:00:00",
3446
+ "2019-07-01T00:00:00",
3447
+ "2019-06-01T00:00:00",
3448
+ "2019-05-01T00:00:00",
3449
+ "2019-04-01T00:00:00",
3450
+ "2019-03-01T00:00:00",
3451
+ "2019-02-01T00:00:00",
3452
+ "2019-01-01T00:00:00",
3453
+ "2018-12-01T00:00:00",
3454
+ "2018-11-01T00:00:00",
3455
+ "2018-10-01T00:00:00",
3456
+ "2018-09-01T00:00:00",
3457
+ "2018-08-01T00:00:00",
3458
+ "2018-07-01T00:00:00",
3459
+ "2018-06-01T00:00:00",
3460
+ "2018-05-01T00:00:00",
3461
+ "2018-04-01T00:00:00",
3462
+ "2018-03-01T00:00:00",
3463
+ "2018-02-01T00:00:00",
3464
+ "2018-01-01T00:00:00",
3465
+ "2017-12-01T00:00:00",
3466
+ "2017-11-01T00:00:00",
3467
+ "2017-10-01T00:00:00",
3468
+ "2017-09-01T00:00:00",
3469
+ "2017-08-01T00:00:00",
3470
+ "2017-07-01T00:00:00",
3471
+ "2017-06-01T00:00:00",
3472
+ "2017-05-01T00:00:00",
3473
+ "2017-04-01T00:00:00",
3474
+ "2017-03-01T00:00:00",
3475
+ "2017-02-01T00:00:00",
3476
+ "2017-01-01T00:00:00",
3477
+ "2016-12-01T00:00:00",
3478
+ "2016-11-01T00:00:00",
3479
+ "2016-10-01T00:00:00",
3480
+ "2016-09-01T00:00:00",
3481
+ "2016-08-01T00:00:00",
3482
+ "2016-07-01T00:00:00",
3483
+ "2016-06-01T00:00:00",
3484
+ "2016-05-01T00:00:00",
3485
+ "2016-04-01T00:00:00",
3486
+ "2016-03-01T00:00:00",
3487
+ "2016-02-01T00:00:00",
3488
+ "2016-01-01T00:00:00",
3489
+ "2015-12-01T00:00:00",
3490
+ "2015-11-01T00:00:00",
3491
+ "2015-10-01T00:00:00",
3492
+ "2015-09-01T00:00:00",
3493
+ "2015-08-01T00:00:00",
3494
+ "2015-07-01T00:00:00",
3495
+ "2015-06-01T00:00:00",
3496
+ "2015-05-01T00:00:00",
3497
+ "2015-04-01T00:00:00",
3498
+ "2015-03-01T00:00:00",
3499
+ "2015-02-01T00:00:00",
3500
+ "2015-01-01T00:00:00",
3501
+ "2014-12-01T00:00:00",
3502
+ "2014-11-01T00:00:00",
3503
+ "2014-10-01T00:00:00",
3504
+ "2014-09-01T00:00:00",
3505
+ "2014-08-01T00:00:00",
3506
+ "2014-07-01T00:00:00",
3507
+ "2014-06-01T00:00:00",
3508
+ "2014-05-01T00:00:00",
3509
+ "2014-04-01T00:00:00",
3510
+ "2014-03-01T00:00:00",
3511
+ "2014-02-01T00:00:00",
3512
+ "2014-01-01T00:00:00",
3513
+ "2013-12-01T00:00:00",
3514
+ "2013-11-01T00:00:00",
3515
+ "2013-10-01T00:00:00",
3516
+ "2013-09-01T00:00:00",
3517
+ "2013-08-01T00:00:00",
3518
+ "2013-07-01T00:00:00",
3519
+ "2013-06-01T00:00:00",
3520
+ "2013-05-01T00:00:00",
3521
+ "2013-04-01T00:00:00",
3522
+ "2013-03-01T00:00:00",
3523
+ "2013-02-01T00:00:00",
3524
+ "2013-01-01T00:00:00",
3525
+ "2012-12-01T00:00:00",
3526
+ "2012-11-01T00:00:00",
3527
+ "2012-10-01T00:00:00",
3528
+ "2012-09-01T00:00:00",
3529
+ "2012-08-01T00:00:00",
3530
+ "2012-07-01T00:00:00",
3531
+ "2012-06-01T00:00:00",
3532
+ "2012-05-01T00:00:00",
3533
+ "2012-04-01T00:00:00",
3534
+ "2012-03-01T00:00:00",
3535
+ "2012-02-01T00:00:00",
3536
+ "2012-01-01T00:00:00",
3537
+ "2011-12-01T00:00:00",
3538
+ "2011-11-01T00:00:00",
3539
+ "2011-10-01T00:00:00",
3540
+ "2011-09-01T00:00:00",
3541
+ "2011-08-01T00:00:00",
3542
+ "2011-07-01T00:00:00",
3543
+ "2011-06-01T00:00:00",
3544
+ "2011-05-01T00:00:00",
3545
+ "2011-04-01T00:00:00",
3546
+ "2011-03-01T00:00:00",
3547
+ "2011-02-01T00:00:00",
3548
+ "2011-01-01T00:00:00",
3549
+ "2010-12-01T00:00:00",
3550
+ "2010-11-01T00:00:00",
3551
+ "2010-10-01T00:00:00",
3552
+ "2010-09-01T00:00:00",
3553
+ "2010-08-01T00:00:00",
3554
+ "2010-07-01T00:00:00"
3555
+ ],
3556
+ "xaxis": "x",
3557
+ "y": [
3558
+ 191.97,
3559
+ 187.29,
3560
+ 248.48,
3561
+ 240.08,
3562
+ 200.84,
3563
+ 250.22,
3564
+ 258.08,
3565
+ 267.43,
3566
+ 261.77,
3567
+ 203.93,
3568
+ 164.31,
3569
+ 207.46,
3570
+ 205.71,
3571
+ 173.22,
3572
+ 123.18,
3573
+ 194.7,
3574
+ 227.54,
3575
+ 265.25,
3576
+ 275.61,
3577
+ 297.15,
3578
+ 224.47,
3579
+ 252.75,
3580
+ 290.25,
3581
+ 359.2,
3582
+ 290.14,
3583
+ 312.24,
3584
+ 352.26,
3585
+ 381.59,
3586
+ 371.33,
3587
+ 258.49,
3588
+ 245.24,
3589
+ 229.07,
3590
+ 226.57,
3591
+ 208.41,
3592
+ 236.48,
3593
+ 222.64,
3594
+ 225.17,
3595
+ 264.51,
3596
+ 235.22,
3597
+ 189.2,
3598
+ 129.35,
3599
+ 143,
3600
+ 166.11,
3601
+ 95.38,
3602
+ 71.99,
3603
+ 55.67,
3604
+ 52.13,
3605
+ 34.93,
3606
+ 44.53,
3607
+ 43.37,
3608
+ 27.89,
3609
+ 22,
3610
+ 20.99,
3611
+ 16.06,
3612
+ 15.04,
3613
+ 16.11,
3614
+ 14.9,
3615
+ 12.34,
3616
+ 15.91,
3617
+ 18.66,
3618
+ 21.33,
3619
+ 20.47,
3620
+ 22.19,
3621
+ 23.37,
3622
+ 22.49,
3623
+ 17.65,
3624
+ 20.11,
3625
+ 19.88,
3626
+ 22.86,
3627
+ 18.98,
3628
+ 19.59,
3629
+ 17.74,
3630
+ 22.87,
3631
+ 23.62,
3632
+ 20.76,
3633
+ 20.59,
3634
+ 22.1,
3635
+ 22.74,
3636
+ 23.73,
3637
+ 21.56,
3638
+ 24.11,
3639
+ 22.73,
3640
+ 20.94,
3641
+ 18.55,
3642
+ 16.67,
3643
+ 16.8,
3644
+ 14.25,
3645
+ 12.63,
3646
+ 13.18,
3647
+ 13.6,
3648
+ 14.13,
3649
+ 15.65,
3650
+ 14.15,
3651
+ 14.88,
3652
+ 16.05,
3653
+ 15.32,
3654
+ 12.8,
3655
+ 12.75,
3656
+ 16,
3657
+ 15.35,
3658
+ 13.8,
3659
+ 16.56,
3660
+ 16.6,
3661
+ 17.74,
3662
+ 17.88,
3663
+ 16.72,
3664
+ 15.07,
3665
+ 12.58,
3666
+ 13.56,
3667
+ 13.57,
3668
+ 14.83,
3669
+ 16.3,
3670
+ 16.11,
3671
+ 16.18,
3672
+ 17.98,
3673
+ 14.89,
3674
+ 16,
3675
+ 13.85,
3676
+ 13.86,
3677
+ 13.9,
3678
+ 16.32,
3679
+ 12.09,
3680
+ 10.03,
3681
+ 8.49,
3682
+ 10.66,
3683
+ 12.89,
3684
+ 11.27,
3685
+ 8.95,
3686
+ 7.16,
3687
+ 6.52,
3688
+ 3.6,
3689
+ 2.53,
3690
+ 2.32,
3691
+ 2.5,
3692
+ 2.26,
3693
+ 2.25,
3694
+ 1.88,
3695
+ 1.95,
3696
+ 1.9,
3697
+ 1.83,
3698
+ 2.09,
3699
+ 1.97,
3700
+ 2.21,
3701
+ 2.48,
3702
+ 2.23,
3703
+ 1.94,
3704
+ 1.9,
3705
+ 2.18,
3706
+ 1.96,
3707
+ 1.63,
3708
+ 1.65,
3709
+ 1.88,
3710
+ 1.94,
3711
+ 2.01,
3712
+ 1.84,
3713
+ 1.85,
3714
+ 1.59,
3715
+ 1.61,
3716
+ 1.78,
3717
+ 2.36,
3718
+ 1.46,
3719
+ 1.36,
3720
+ 1.3,
3721
+ 1.33
3722
+ ],
3723
+ "yaxis": "y"
3724
+ }
3725
+ ],
3726
+ "layout": {
3727
+ "annotations": [
3728
+ {
3729
+ "font": {},
3730
+ "showarrow": false,
3731
+ "text": "company=tesla",
3732
+ "x": 0.5,
3733
+ "xanchor": "center",
3734
+ "xref": "paper",
3735
+ "y": 0.2866666666666666,
3736
+ "yanchor": "bottom",
3737
+ "yref": "paper"
3738
+ },
3739
+ {
3740
+ "font": {},
3741
+ "showarrow": false,
3742
+ "text": "company=walmart",
3743
+ "x": 0.5,
3744
+ "xanchor": "center",
3745
+ "xref": "paper",
3746
+ "y": 0.6433333333333333,
3747
+ "yanchor": "bottom",
3748
+ "yref": "paper"
3749
+ },
3750
+ {
3751
+ "font": {},
3752
+ "showarrow": false,
3753
+ "text": "company=apple",
3754
+ "x": 0.5,
3755
+ "xanchor": "center",
3756
+ "xref": "paper",
3757
+ "y": 0.9999999999999999,
3758
+ "yanchor": "bottom",
3759
+ "yref": "paper"
3760
+ }
3761
+ ],
3762
+ "legend": {
3763
+ "title": {
3764
+ "text": "company"
3765
+ },
3766
+ "tracegroupgap": 0
3767
+ },
3768
+ "margin": {
3769
+ "t": 60
3770
+ },
3771
+ "template": {
3772
+ "data": {
3773
+ "bar": [
3774
+ {
3775
+ "error_x": {
3776
+ "color": "#2a3f5f"
3777
+ },
3778
+ "error_y": {
3779
+ "color": "#2a3f5f"
3780
+ },
3781
+ "marker": {
3782
+ "line": {
3783
+ "color": "#E5ECF6",
3784
+ "width": 0.5
3785
+ },
3786
+ "pattern": {
3787
+ "fillmode": "overlay",
3788
+ "size": 10,
3789
+ "solidity": 0.2
3790
+ }
3791
+ },
3792
+ "type": "bar"
3793
+ }
3794
+ ],
3795
+ "barpolar": [
3796
+ {
3797
+ "marker": {
3798
+ "line": {
3799
+ "color": "#E5ECF6",
3800
+ "width": 0.5
3801
+ },
3802
+ "pattern": {
3803
+ "fillmode": "overlay",
3804
+ "size": 10,
3805
+ "solidity": 0.2
3806
+ }
3807
+ },
3808
+ "type": "barpolar"
3809
+ }
3810
+ ],
3811
+ "carpet": [
3812
+ {
3813
+ "aaxis": {
3814
+ "endlinecolor": "#2a3f5f",
3815
+ "gridcolor": "white",
3816
+ "linecolor": "white",
3817
+ "minorgridcolor": "white",
3818
+ "startlinecolor": "#2a3f5f"
3819
+ },
3820
+ "baxis": {
3821
+ "endlinecolor": "#2a3f5f",
3822
+ "gridcolor": "white",
3823
+ "linecolor": "white",
3824
+ "minorgridcolor": "white",
3825
+ "startlinecolor": "#2a3f5f"
3826
+ },
3827
+ "type": "carpet"
3828
+ }
3829
+ ],
3830
+ "choropleth": [
3831
+ {
3832
+ "colorbar": {
3833
+ "outlinewidth": 0,
3834
+ "ticks": ""
3835
+ },
3836
+ "type": "choropleth"
3837
+ }
3838
+ ],
3839
+ "contour": [
3840
+ {
3841
+ "colorbar": {
3842
+ "outlinewidth": 0,
3843
+ "ticks": ""
3844
+ },
3845
+ "colorscale": [
3846
+ [
3847
+ 0,
3848
+ "#0d0887"
3849
+ ],
3850
+ [
3851
+ 0.1111111111111111,
3852
+ "#46039f"
3853
+ ],
3854
+ [
3855
+ 0.2222222222222222,
3856
+ "#7201a8"
3857
+ ],
3858
+ [
3859
+ 0.3333333333333333,
3860
+ "#9c179e"
3861
+ ],
3862
+ [
3863
+ 0.4444444444444444,
3864
+ "#bd3786"
3865
+ ],
3866
+ [
3867
+ 0.5555555555555556,
3868
+ "#d8576b"
3869
+ ],
3870
+ [
3871
+ 0.6666666666666666,
3872
+ "#ed7953"
3873
+ ],
3874
+ [
3875
+ 0.7777777777777778,
3876
+ "#fb9f3a"
3877
+ ],
3878
+ [
3879
+ 0.8888888888888888,
3880
+ "#fdca26"
3881
+ ],
3882
+ [
3883
+ 1,
3884
+ "#f0f921"
3885
+ ]
3886
+ ],
3887
+ "type": "contour"
3888
+ }
3889
+ ],
3890
+ "contourcarpet": [
3891
+ {
3892
+ "colorbar": {
3893
+ "outlinewidth": 0,
3894
+ "ticks": ""
3895
+ },
3896
+ "type": "contourcarpet"
3897
+ }
3898
+ ],
3899
+ "heatmap": [
3900
+ {
3901
+ "colorbar": {
3902
+ "outlinewidth": 0,
3903
+ "ticks": ""
3904
+ },
3905
+ "colorscale": [
3906
+ [
3907
+ 0,
3908
+ "#0d0887"
3909
+ ],
3910
+ [
3911
+ 0.1111111111111111,
3912
+ "#46039f"
3913
+ ],
3914
+ [
3915
+ 0.2222222222222222,
3916
+ "#7201a8"
3917
+ ],
3918
+ [
3919
+ 0.3333333333333333,
3920
+ "#9c179e"
3921
+ ],
3922
+ [
3923
+ 0.4444444444444444,
3924
+ "#bd3786"
3925
+ ],
3926
+ [
3927
+ 0.5555555555555556,
3928
+ "#d8576b"
3929
+ ],
3930
+ [
3931
+ 0.6666666666666666,
3932
+ "#ed7953"
3933
+ ],
3934
+ [
3935
+ 0.7777777777777778,
3936
+ "#fb9f3a"
3937
+ ],
3938
+ [
3939
+ 0.8888888888888888,
3940
+ "#fdca26"
3941
+ ],
3942
+ [
3943
+ 1,
3944
+ "#f0f921"
3945
+ ]
3946
+ ],
3947
+ "type": "heatmap"
3948
+ }
3949
+ ],
3950
+ "heatmapgl": [
3951
+ {
3952
+ "colorbar": {
3953
+ "outlinewidth": 0,
3954
+ "ticks": ""
3955
+ },
3956
+ "colorscale": [
3957
+ [
3958
+ 0,
3959
+ "#0d0887"
3960
+ ],
3961
+ [
3962
+ 0.1111111111111111,
3963
+ "#46039f"
3964
+ ],
3965
+ [
3966
+ 0.2222222222222222,
3967
+ "#7201a8"
3968
+ ],
3969
+ [
3970
+ 0.3333333333333333,
3971
+ "#9c179e"
3972
+ ],
3973
+ [
3974
+ 0.4444444444444444,
3975
+ "#bd3786"
3976
+ ],
3977
+ [
3978
+ 0.5555555555555556,
3979
+ "#d8576b"
3980
+ ],
3981
+ [
3982
+ 0.6666666666666666,
3983
+ "#ed7953"
3984
+ ],
3985
+ [
3986
+ 0.7777777777777778,
3987
+ "#fb9f3a"
3988
+ ],
3989
+ [
3990
+ 0.8888888888888888,
3991
+ "#fdca26"
3992
+ ],
3993
+ [
3994
+ 1,
3995
+ "#f0f921"
3996
+ ]
3997
+ ],
3998
+ "type": "heatmapgl"
3999
+ }
4000
+ ],
4001
+ "histogram": [
4002
+ {
4003
+ "marker": {
4004
+ "pattern": {
4005
+ "fillmode": "overlay",
4006
+ "size": 10,
4007
+ "solidity": 0.2
4008
+ }
4009
+ },
4010
+ "type": "histogram"
4011
+ }
4012
+ ],
4013
+ "histogram2d": [
4014
+ {
4015
+ "colorbar": {
4016
+ "outlinewidth": 0,
4017
+ "ticks": ""
4018
+ },
4019
+ "colorscale": [
4020
+ [
4021
+ 0,
4022
+ "#0d0887"
4023
+ ],
4024
+ [
4025
+ 0.1111111111111111,
4026
+ "#46039f"
4027
+ ],
4028
+ [
4029
+ 0.2222222222222222,
4030
+ "#7201a8"
4031
+ ],
4032
+ [
4033
+ 0.3333333333333333,
4034
+ "#9c179e"
4035
+ ],
4036
+ [
4037
+ 0.4444444444444444,
4038
+ "#bd3786"
4039
+ ],
4040
+ [
4041
+ 0.5555555555555556,
4042
+ "#d8576b"
4043
+ ],
4044
+ [
4045
+ 0.6666666666666666,
4046
+ "#ed7953"
4047
+ ],
4048
+ [
4049
+ 0.7777777777777778,
4050
+ "#fb9f3a"
4051
+ ],
4052
+ [
4053
+ 0.8888888888888888,
4054
+ "#fdca26"
4055
+ ],
4056
+ [
4057
+ 1,
4058
+ "#f0f921"
4059
+ ]
4060
+ ],
4061
+ "type": "histogram2d"
4062
+ }
4063
+ ],
4064
+ "histogram2dcontour": [
4065
+ {
4066
+ "colorbar": {
4067
+ "outlinewidth": 0,
4068
+ "ticks": ""
4069
+ },
4070
+ "colorscale": [
4071
+ [
4072
+ 0,
4073
+ "#0d0887"
4074
+ ],
4075
+ [
4076
+ 0.1111111111111111,
4077
+ "#46039f"
4078
+ ],
4079
+ [
4080
+ 0.2222222222222222,
4081
+ "#7201a8"
4082
+ ],
4083
+ [
4084
+ 0.3333333333333333,
4085
+ "#9c179e"
4086
+ ],
4087
+ [
4088
+ 0.4444444444444444,
4089
+ "#bd3786"
4090
+ ],
4091
+ [
4092
+ 0.5555555555555556,
4093
+ "#d8576b"
4094
+ ],
4095
+ [
4096
+ 0.6666666666666666,
4097
+ "#ed7953"
4098
+ ],
4099
+ [
4100
+ 0.7777777777777778,
4101
+ "#fb9f3a"
4102
+ ],
4103
+ [
4104
+ 0.8888888888888888,
4105
+ "#fdca26"
4106
+ ],
4107
+ [
4108
+ 1,
4109
+ "#f0f921"
4110
+ ]
4111
+ ],
4112
+ "type": "histogram2dcontour"
4113
+ }
4114
+ ],
4115
+ "mesh3d": [
4116
+ {
4117
+ "colorbar": {
4118
+ "outlinewidth": 0,
4119
+ "ticks": ""
4120
+ },
4121
+ "type": "mesh3d"
4122
+ }
4123
+ ],
4124
+ "parcoords": [
4125
+ {
4126
+ "line": {
4127
+ "colorbar": {
4128
+ "outlinewidth": 0,
4129
+ "ticks": ""
4130
+ }
4131
+ },
4132
+ "type": "parcoords"
4133
+ }
4134
+ ],
4135
+ "pie": [
4136
+ {
4137
+ "automargin": true,
4138
+ "type": "pie"
4139
+ }
4140
+ ],
4141
+ "scatter": [
4142
+ {
4143
+ "fillpattern": {
4144
+ "fillmode": "overlay",
4145
+ "size": 10,
4146
+ "solidity": 0.2
4147
+ },
4148
+ "type": "scatter"
4149
+ }
4150
+ ],
4151
+ "scatter3d": [
4152
+ {
4153
+ "line": {
4154
+ "colorbar": {
4155
+ "outlinewidth": 0,
4156
+ "ticks": ""
4157
+ }
4158
+ },
4159
+ "marker": {
4160
+ "colorbar": {
4161
+ "outlinewidth": 0,
4162
+ "ticks": ""
4163
+ }
4164
+ },
4165
+ "type": "scatter3d"
4166
+ }
4167
+ ],
4168
+ "scattercarpet": [
4169
+ {
4170
+ "marker": {
4171
+ "colorbar": {
4172
+ "outlinewidth": 0,
4173
+ "ticks": ""
4174
+ }
4175
+ },
4176
+ "type": "scattercarpet"
4177
+ }
4178
+ ],
4179
+ "scattergeo": [
4180
+ {
4181
+ "marker": {
4182
+ "colorbar": {
4183
+ "outlinewidth": 0,
4184
+ "ticks": ""
4185
+ }
4186
+ },
4187
+ "type": "scattergeo"
4188
+ }
4189
+ ],
4190
+ "scattergl": [
4191
+ {
4192
+ "marker": {
4193
+ "colorbar": {
4194
+ "outlinewidth": 0,
4195
+ "ticks": ""
4196
+ }
4197
+ },
4198
+ "type": "scattergl"
4199
+ }
4200
+ ],
4201
+ "scattermapbox": [
4202
+ {
4203
+ "marker": {
4204
+ "colorbar": {
4205
+ "outlinewidth": 0,
4206
+ "ticks": ""
4207
+ }
4208
+ },
4209
+ "type": "scattermapbox"
4210
+ }
4211
+ ],
4212
+ "scatterpolar": [
4213
+ {
4214
+ "marker": {
4215
+ "colorbar": {
4216
+ "outlinewidth": 0,
4217
+ "ticks": ""
4218
+ }
4219
+ },
4220
+ "type": "scatterpolar"
4221
+ }
4222
+ ],
4223
+ "scatterpolargl": [
4224
+ {
4225
+ "marker": {
4226
+ "colorbar": {
4227
+ "outlinewidth": 0,
4228
+ "ticks": ""
4229
+ }
4230
+ },
4231
+ "type": "scatterpolargl"
4232
+ }
4233
+ ],
4234
+ "scatterternary": [
4235
+ {
4236
+ "marker": {
4237
+ "colorbar": {
4238
+ "outlinewidth": 0,
4239
+ "ticks": ""
4240
+ }
4241
+ },
4242
+ "type": "scatterternary"
4243
+ }
4244
+ ],
4245
+ "surface": [
4246
+ {
4247
+ "colorbar": {
4248
+ "outlinewidth": 0,
4249
+ "ticks": ""
4250
+ },
4251
+ "colorscale": [
4252
+ [
4253
+ 0,
4254
+ "#0d0887"
4255
+ ],
4256
+ [
4257
+ 0.1111111111111111,
4258
+ "#46039f"
4259
+ ],
4260
+ [
4261
+ 0.2222222222222222,
4262
+ "#7201a8"
4263
+ ],
4264
+ [
4265
+ 0.3333333333333333,
4266
+ "#9c179e"
4267
+ ],
4268
+ [
4269
+ 0.4444444444444444,
4270
+ "#bd3786"
4271
+ ],
4272
+ [
4273
+ 0.5555555555555556,
4274
+ "#d8576b"
4275
+ ],
4276
+ [
4277
+ 0.6666666666666666,
4278
+ "#ed7953"
4279
+ ],
4280
+ [
4281
+ 0.7777777777777778,
4282
+ "#fb9f3a"
4283
+ ],
4284
+ [
4285
+ 0.8888888888888888,
4286
+ "#fdca26"
4287
+ ],
4288
+ [
4289
+ 1,
4290
+ "#f0f921"
4291
+ ]
4292
+ ],
4293
+ "type": "surface"
4294
+ }
4295
+ ],
4296
+ "table": [
4297
+ {
4298
+ "cells": {
4299
+ "fill": {
4300
+ "color": "#EBF0F8"
4301
+ },
4302
+ "line": {
4303
+ "color": "white"
4304
+ }
4305
+ },
4306
+ "header": {
4307
+ "fill": {
4308
+ "color": "#C8D4E3"
4309
+ },
4310
+ "line": {
4311
+ "color": "white"
4312
+ }
4313
+ },
4314
+ "type": "table"
4315
+ }
4316
+ ]
4317
+ },
4318
+ "layout": {
4319
+ "annotationdefaults": {
4320
+ "arrowcolor": "#2a3f5f",
4321
+ "arrowhead": 0,
4322
+ "arrowwidth": 1
4323
+ },
4324
+ "autotypenumbers": "strict",
4325
+ "coloraxis": {
4326
+ "colorbar": {
4327
+ "outlinewidth": 0,
4328
+ "ticks": ""
4329
+ }
4330
+ },
4331
+ "colorscale": {
4332
+ "diverging": [
4333
+ [
4334
+ 0,
4335
+ "#8e0152"
4336
+ ],
4337
+ [
4338
+ 0.1,
4339
+ "#c51b7d"
4340
+ ],
4341
+ [
4342
+ 0.2,
4343
+ "#de77ae"
4344
+ ],
4345
+ [
4346
+ 0.3,
4347
+ "#f1b6da"
4348
+ ],
4349
+ [
4350
+ 0.4,
4351
+ "#fde0ef"
4352
+ ],
4353
+ [
4354
+ 0.5,
4355
+ "#f7f7f7"
4356
+ ],
4357
+ [
4358
+ 0.6,
4359
+ "#e6f5d0"
4360
+ ],
4361
+ [
4362
+ 0.7,
4363
+ "#b8e186"
4364
+ ],
4365
+ [
4366
+ 0.8,
4367
+ "#7fbc41"
4368
+ ],
4369
+ [
4370
+ 0.9,
4371
+ "#4d9221"
4372
+ ],
4373
+ [
4374
+ 1,
4375
+ "#276419"
4376
+ ]
4377
+ ],
4378
+ "sequential": [
4379
+ [
4380
+ 0,
4381
+ "#0d0887"
4382
+ ],
4383
+ [
4384
+ 0.1111111111111111,
4385
+ "#46039f"
4386
+ ],
4387
+ [
4388
+ 0.2222222222222222,
4389
+ "#7201a8"
4390
+ ],
4391
+ [
4392
+ 0.3333333333333333,
4393
+ "#9c179e"
4394
+ ],
4395
+ [
4396
+ 0.4444444444444444,
4397
+ "#bd3786"
4398
+ ],
4399
+ [
4400
+ 0.5555555555555556,
4401
+ "#d8576b"
4402
+ ],
4403
+ [
4404
+ 0.6666666666666666,
4405
+ "#ed7953"
4406
+ ],
4407
+ [
4408
+ 0.7777777777777778,
4409
+ "#fb9f3a"
4410
+ ],
4411
+ [
4412
+ 0.8888888888888888,
4413
+ "#fdca26"
4414
+ ],
4415
+ [
4416
+ 1,
4417
+ "#f0f921"
4418
+ ]
4419
+ ],
4420
+ "sequentialminus": [
4421
+ [
4422
+ 0,
4423
+ "#0d0887"
4424
+ ],
4425
+ [
4426
+ 0.1111111111111111,
4427
+ "#46039f"
4428
+ ],
4429
+ [
4430
+ 0.2222222222222222,
4431
+ "#7201a8"
4432
+ ],
4433
+ [
4434
+ 0.3333333333333333,
4435
+ "#9c179e"
4436
+ ],
4437
+ [
4438
+ 0.4444444444444444,
4439
+ "#bd3786"
4440
+ ],
4441
+ [
4442
+ 0.5555555555555556,
4443
+ "#d8576b"
4444
+ ],
4445
+ [
4446
+ 0.6666666666666666,
4447
+ "#ed7953"
4448
+ ],
4449
+ [
4450
+ 0.7777777777777778,
4451
+ "#fb9f3a"
4452
+ ],
4453
+ [
4454
+ 0.8888888888888888,
4455
+ "#fdca26"
4456
+ ],
4457
+ [
4458
+ 1,
4459
+ "#f0f921"
4460
+ ]
4461
+ ]
4462
+ },
4463
+ "colorway": [
4464
+ "#636efa",
4465
+ "#EF553B",
4466
+ "#00cc96",
4467
+ "#ab63fa",
4468
+ "#FFA15A",
4469
+ "#19d3f3",
4470
+ "#FF6692",
4471
+ "#B6E880",
4472
+ "#FF97FF",
4473
+ "#FECB52"
4474
+ ],
4475
+ "font": {
4476
+ "color": "#2a3f5f"
4477
+ },
4478
+ "geo": {
4479
+ "bgcolor": "white",
4480
+ "lakecolor": "white",
4481
+ "landcolor": "#E5ECF6",
4482
+ "showlakes": true,
4483
+ "showland": true,
4484
+ "subunitcolor": "white"
4485
+ },
4486
+ "hoverlabel": {
4487
+ "align": "left"
4488
+ },
4489
+ "hovermode": "closest",
4490
+ "mapbox": {
4491
+ "style": "light"
4492
+ },
4493
+ "paper_bgcolor": "white",
4494
+ "plot_bgcolor": "#E5ECF6",
4495
+ "polar": {
4496
+ "angularaxis": {
4497
+ "gridcolor": "white",
4498
+ "linecolor": "white",
4499
+ "ticks": ""
4500
+ },
4501
+ "bgcolor": "#E5ECF6",
4502
+ "radialaxis": {
4503
+ "gridcolor": "white",
4504
+ "linecolor": "white",
4505
+ "ticks": ""
4506
+ }
4507
+ },
4508
+ "scene": {
4509
+ "xaxis": {
4510
+ "backgroundcolor": "#E5ECF6",
4511
+ "gridcolor": "white",
4512
+ "gridwidth": 2,
4513
+ "linecolor": "white",
4514
+ "showbackground": true,
4515
+ "ticks": "",
4516
+ "zerolinecolor": "white"
4517
+ },
4518
+ "yaxis": {
4519
+ "backgroundcolor": "#E5ECF6",
4520
+ "gridcolor": "white",
4521
+ "gridwidth": 2,
4522
+ "linecolor": "white",
4523
+ "showbackground": true,
4524
+ "ticks": "",
4525
+ "zerolinecolor": "white"
4526
+ },
4527
+ "zaxis": {
4528
+ "backgroundcolor": "#E5ECF6",
4529
+ "gridcolor": "white",
4530
+ "gridwidth": 2,
4531
+ "linecolor": "white",
4532
+ "showbackground": true,
4533
+ "ticks": "",
4534
+ "zerolinecolor": "white"
4535
+ }
4536
+ },
4537
+ "shapedefaults": {
4538
+ "line": {
4539
+ "color": "#2a3f5f"
4540
+ }
4541
+ },
4542
+ "ternary": {
4543
+ "aaxis": {
4544
+ "gridcolor": "white",
4545
+ "linecolor": "white",
4546
+ "ticks": ""
4547
+ },
4548
+ "baxis": {
4549
+ "gridcolor": "white",
4550
+ "linecolor": "white",
4551
+ "ticks": ""
4552
+ },
4553
+ "bgcolor": "#E5ECF6",
4554
+ "caxis": {
4555
+ "gridcolor": "white",
4556
+ "linecolor": "white",
4557
+ "ticks": ""
4558
+ }
4559
+ },
4560
+ "title": {
4561
+ "x": 0.05
4562
+ },
4563
+ "xaxis": {
4564
+ "automargin": true,
4565
+ "gridcolor": "white",
4566
+ "linecolor": "white",
4567
+ "ticks": "",
4568
+ "title": {
4569
+ "standoff": 15
4570
+ },
4571
+ "zerolinecolor": "white",
4572
+ "zerolinewidth": 2
4573
+ },
4574
+ "yaxis": {
4575
+ "automargin": true,
4576
+ "gridcolor": "white",
4577
+ "linecolor": "white",
4578
+ "ticks": "",
4579
+ "title": {
4580
+ "standoff": 15
4581
+ },
4582
+ "zerolinecolor": "white",
4583
+ "zerolinewidth": 2
4584
+ }
4585
+ }
4586
+ },
4587
+ "xaxis": {
4588
+ "anchor": "y",
4589
+ "domain": [
4590
+ 0,
4591
+ 1
4592
+ ],
4593
+ "title": {
4594
+ "text": "Date"
4595
+ }
4596
+ },
4597
+ "xaxis2": {
4598
+ "anchor": "y2",
4599
+ "domain": [
4600
+ 0,
4601
+ 1
4602
+ ],
4603
+ "matches": "x",
4604
+ "showticklabels": false
4605
+ },
4606
+ "xaxis3": {
4607
+ "anchor": "y3",
4608
+ "domain": [
4609
+ 0,
4610
+ 1
4611
+ ],
4612
+ "matches": "x",
4613
+ "showticklabels": false
4614
+ },
4615
+ "yaxis": {
4616
+ "anchor": "x",
4617
+ "domain": [
4618
+ 0,
4619
+ 0.2866666666666666
4620
+ ],
4621
+ "title": {
4622
+ "text": "value"
4623
+ }
4624
+ },
4625
+ "yaxis2": {
4626
+ "anchor": "x2",
4627
+ "domain": [
4628
+ 0.35666666666666663,
4629
+ 0.6433333333333333
4630
+ ],
4631
+ "title": {
4632
+ "text": "value"
4633
+ }
4634
+ },
4635
+ "yaxis3": {
4636
+ "anchor": "x3",
4637
+ "domain": [
4638
+ 0.7133333333333333,
4639
+ 0.9999999999999999
4640
+ ],
4641
+ "title": {
4642
+ "text": "value"
4643
+ }
4644
+ }
4645
+ }
4646
+ }
4647
+ },
4648
+ "metadata": {},
4649
+ "output_type": "display_data"
4650
+ }
4651
+ ],
4652
+ "source": [
4653
+ "fig = px.area(df, facet_col='company', facet_col_wrap=1)\n",
4654
+ "fig.update_yaxes(matches=None)\n",
4655
+ "fig.show()"
4656
+ ]
4657
+ },
4658
+ {
4659
+ "cell_type": "code",
4660
+ "execution_count": 13,
4661
+ "metadata": {},
4662
+ "outputs": [],
4663
+ "source": [
4664
+ "n_obs = 20\n",
4665
+ "df_train, df_test = df[0:-n_obs], df[-n_obs:]"
4666
+ ]
4667
+ },
4668
+ {
4669
+ "cell_type": "code",
4670
+ "execution_count": 14,
4671
+ "metadata": {},
4672
+ "outputs": [],
4673
+ "source": [
4674
+ "def adf_test(df):\n",
4675
+ " result = adfuller(df.values)\n",
4676
+ " print('ADF Statistics: %f' % result[0])\n",
4677
+ " print('p-value: %f' % result[1])\n",
4678
+ " print('Critical values:')\n",
4679
+ " for key, value in result[4].items():\n",
4680
+ " print('\\t%s: %.3f' % (key, value))"
4681
+ ]
4682
+ },
4683
+ {
4684
+ "cell_type": "code",
4685
+ "execution_count": 15,
4686
+ "metadata": {},
4687
+ "outputs": [
4688
+ {
4689
+ "name": "stdout",
4690
+ "output_type": "stream",
4691
+ "text": [
4692
+ "ADF Test: Apple time series\n",
4693
+ "ADF Statistics: -2.793474\n",
4694
+ "p-value: 0.059212\n",
4695
+ "Critical values:\n",
4696
+ "\t1%: -3.480\n",
4697
+ "\t5%: -2.883\n",
4698
+ "\t10%: -2.578\n",
4699
+ "ADF Test: Walmart time series\n",
4700
+ "ADF Statistics: -1.407972\n",
4701
+ "p-value: 0.578448\n",
4702
+ "Critical values:\n",
4703
+ "\t1%: -3.478\n",
4704
+ "\t5%: -2.882\n",
4705
+ "\t10%: -2.578\n",
4706
+ "ADF Test: Tesla time series\n",
4707
+ "ADF Statistics: -1.195298\n",
4708
+ "p-value: 0.675615\n",
4709
+ "Critical values:\n",
4710
+ "\t1%: -3.482\n",
4711
+ "\t5%: -2.884\n",
4712
+ "\t10%: -2.579\n"
4713
+ ]
4714
+ }
4715
+ ],
4716
+ "source": [
4717
+ "print('ADF Test: Apple time series')\n",
4718
+ "adf_test(df_train['apple'])\n",
4719
+ "print('ADF Test: Walmart time series')\n",
4720
+ "adf_test(df_train['walmart'])\n",
4721
+ "print('ADF Test: Tesla time series')\n",
4722
+ "adf_test(df_train['tesla'])"
4723
+ ]
4724
+ },
4725
  {
4726
  "cell_type": "code",
4727
  "execution_count": null,