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Quandl API to Plot Real Time Stock Data¶
The premier source for financial, economic and alternative datasets, serving investment professionals.
In [ ]:
pip install quandl
In [2]:
import quandl
data = quandl.get("BSE/BOM539678", authtoken="x8VdDXzBty3iGsaRLTVs")
data
Out[2]:
| Open | High | Low | Close | WAP | No. of Shares | No. of Trades | Total Turnover | Deliverable Quantity | % Deli. Qty to Traded Qty | Spread H-L | Spread C-O | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Date | ||||||||||||
| 2017-02-21 | 254.25 | 259.50 | 253.00 | 257.75 | 257.17 | 40544.0 | 1048.0 | 10426526.0 | 9129.0 | 22.52 | 6.50 | 3.50 |
| 2017-02-22 | 257.00 | 261.00 | 252.60 | 253.05 | 256.18 | 35603.0 | 1067.0 | 9120718.0 | 8450.0 | 23.73 | 8.40 | -3.95 |
| 2017-02-23 | 253.30 | 254.60 | 249.20 | 250.55 | 251.99 | 26262.0 | 600.0 | 6617792.0 | 13570.0 | 51.67 | 5.40 | -2.75 |
| 2017-02-27 | 251.40 | 252.00 | 244.00 | 247.50 | 249.58 | 28019.0 | 732.0 | 6992855.0 | 11992.0 | 42.80 | 8.00 | -3.90 |
| 2017-02-28 | 248.50 | 253.50 | 247.60 | 248.50 | 249.88 | 66735.0 | 1514.0 | 16675820.0 | 13474.0 | 20.19 | 5.90 | 0.00 |
| … | … | … | … | … | … | … | … | … | … | … | … | … |
| 2021-07-02 | 284.55 | 296.30 | 284.25 | 287.95 | 289.25 | 308092.0 | 5109.0 | 89115468.0 | 46506.0 | 15.09 | 12.05 | 3.40 |
| 2021-07-05 | 291.30 | 306.00 | 284.50 | 298.05 | 298.63 | 288284.0 | 5557.0 | 86091075.0 | 56308.0 | 19.53 | 21.50 | 6.75 |
| 2021-07-06 | 300.00 | 303.25 | 290.00 | 291.10 | 297.30 | 96810.0 | 2219.0 | 28781348.0 | 15177.0 | 15.68 | 13.25 | -8.90 |
| 2021-07-07 | 292.00 | 296.50 | 288.35 | 294.10 | 292.01 | 84635.0 | 2484.0 | 24713902.0 | 16887.0 | 19.95 | 8.15 | 2.10 |
| 2021-07-08 | 294.10 | 295.45 | 284.30 | 287.70 | 289.84 | 70920.0 | 2647.0 | 20555342.0 | 14016.0 | 19.76 | 11.15 | -6.40 |
1084 rows × 12 columns
In [4]:
import matplotlib.pyplot as plt
plt.rc('figure',figsize=(18,5))
plt.plot(data.Open)
plt.savefig('stock.pdf')
plt.savefig('stock.png')
plt.show()
Plot using JSON¶
In [5]:
import requests
r = requests.get('https://www.quandl.com/api/v3/datasets/BSE/BOM539678.json?api_key=x8VdDXzBty3iGsaRLTVs')
r
Out[5]:
<Response [200]>
In [6]:
import json
data = json.loads(r.content)
data
Out[6]:
{'dataset': {'id': 35121372,
'dataset_code': 'BOM539678',
'database_code': 'BSE',
'name': 'Quick Heal Technologies Ltd EOD Prices',
'description': 'End of Day prices and additional trading information for Quick Heal Technologies Ltd EOD Prices.',
'refreshed_at': '2021-07-08T14:15:56.547Z',
'newest_available_date': '2021-07-08',
'oldest_available_date': '2017-02-21',
'column_names': ['Date',
'Open',
'High',
'Low',
'Close',
'WAP',
'No. of Shares',
'No. of Trades',
'Total Turnover',
'Deliverable Quantity',
'% Deli. Qty to Traded Qty',
'Spread H-L',
'Spread C-O'],
'frequency': 'daily',
'type': 'Time Series',
'premium': False,
'limit': None,
'transform': None,
'column_index': None,
'start_date': '2017-02-21',
'end_date': '2021-07-08',
'data': [['2021-07-08',
294.1,
295.45,
284.3,
287.7,
289.84,
70920.0,
2647.0,
20555342.0,
14016.0,
19.76,
11.15,
-6.4],
['2021-07-07',
292.0,
296.5,
288.35,
294.1,
292.01,
84635.0,
2484.0,
24713902.0,
16887.0,
19.95,
8.15,
2.1],
['2021-07-06',
300.0,
303.25,
290.0,
291.1,
297.3,
96810.0,
2219.0,
28781348.0,
15177.0,
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-8.9],
['2021-07-05',
291.3,
306.0,
284.5,
298.05,
298.63,
288284.0,
5557.0,
86091075.0,
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21.5,
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['2021-07-02',
284.55,
296.3,
284.25,
287.95,
289.25,
308092.0,
5109.0,
89115468.0,
46506.0,
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['2021-07-01',
270.85,
291.25,
268.15,
284.7,
280.4,
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3746.0,
36100037.0,
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['2021-06-30',
271.4,
277.0,
269.4,
270.4,
273.35,
69347.0,
2064.0,
18956318.0,
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['2021-06-29',
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['2021-06-28',
271.25,
275.25,
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271.9,
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['2021-06-25',
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['2021-06-24',
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['2021-06-23',
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['2021-06-22',
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270.0,
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['2021-06-21',
242.65,
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['2021-06-18',
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['2021-06-17',
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['2021-06-16',
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262.0,
248.25,
252.0,
254.16,
281163.0,
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38021.0,
13.52,
13.75,
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['2021-06-15',
251.85,
263.3,
248.6,
254.8,
254.92,
210005.0,
3718.0,
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11.1,
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['2021-06-14',
248.3,
252.0,
231.55,
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['2021-06-11',
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254.95,
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['2021-06-10',
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['2021-06-09',
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['2021-06-08',
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['2021-06-07',
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['2021-06-04',
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['2021-06-03',
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230.6,
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['2021-06-02',
223.0,
230.95,
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['2021-06-01',
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['2021-05-31',
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['2021-05-28',
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['2021-05-27',
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['2021-05-26',
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['2021-05-25',
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['2021-05-21',
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['2021-03-25',
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['2021-03-24',
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['2021-03-23',
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['2021-03-22',
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['2021-03-19',
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['2021-03-18',
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['2021-03-17',
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['2021-03-16',
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'collapse': None,
'order': None,
'database_id': 3287}}
In [7]:
data['dataset']['data']
Out[7]:
[['2021-07-08', 294.1, 295.45, 284.3, 287.7, 289.84, 70920.0, 2647.0, 20555342.0, 14016.0, 19.76, 11.15, -6.4], ['2021-07-07', 292.0, 296.5, 288.35, 294.1, 292.01, 84635.0, 2484.0, 24713902.0, 16887.0, 19.95, 8.15, 2.1], ['2021-07-06', 300.0, 303.25, 290.0, 291.1, 297.3, 96810.0, 2219.0, 28781348.0, 15177.0, 15.68, 13.25, -8.9], ['2021-07-05', 291.3, 306.0, 284.5, 298.05, 298.63, 288284.0, 5557.0, 86091075.0, 56308.0, 19.53, 21.5, 6.75], ['2021-07-02', 284.55, 296.3, 284.25, 287.95, 289.25, 308092.0, 5109.0, 89115468.0, 46506.0, 15.09, 12.05, 3.4], ['2021-07-01', 270.85, 291.25, 268.15, 284.7, 280.4, 128746.0, 3746.0, 36100037.0, 49407.0, 38.38, 23.1, 13.85], ['2021-06-30', 271.4, 277.0, 269.4, 270.4, 273.35, 69347.0, 2064.0, 18956318.0, 12455.0, 17.96, 7.6, -1.0], ['2021-06-29', 272.8, 277.75, 268.55, 269.7, 272.3, 72808.0, 2398.0, 19825777.0, 8773.0, 12.05, 9.2, -3.1], ['2021-06-28', 271.25, 275.25, 269.1, 271.9, 271.27, 75574.0, 2282.0, 20500694.0, 16535.0, 21.88, 6.15, 0.65], 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5794.0, 172.0, 1203910.0, 2562.0, 44.22, 4.65, -2.55], ['2019-01-17', 210.5, 212.4, 208.0, 209.65, 210.22, 9251.0, 199.0, 1944761.0, 2944.0, 31.82, 4.4, -0.85], ['2019-01-16', 210.25, 211.9, 208.9, 209.65, 210.27, 7569.0, 189.0, 1591533.0, 2779.0, 36.72, 3.0, -0.6], ['2019-01-15', 209.9, 211.95, 208.8, 210.65, 210.72, 6928.0, 169.0, 1459851.0, 3488.0, 50.35, 3.15, 0.75], ['2019-01-14', 210.3, 211.8, 206.65, 208.0, 209.49, 9421.0, 240.0, 1973579.0, 3464.0, 36.77, 5.15, -2.3], ['2019-01-11', 209.85, 213.0, 208.9, 211.85, 210.94, 11103.0, 308.0, 2342017.0, 2763.0, 24.89, 4.1, 2.0], ['2019-01-10', 211.4, 212.65, 209.4, 210.8, 211.18, 7738.0, 243.0, 1634120.0, 1580.0, 20.42, 3.25, -0.6], ['2019-01-09', 207.35, 215.95, 207.35, 211.55, 212.59, 36906.0, 1078.0, 7845945.0, 7473.0, 20.25, 8.6, 4.2], ['2019-01-08', 206.45, 206.7, 204.1, 205.8, 205.82, 5184.0, 179.0, 1066973.0, 1540.0, 29.71, 2.6, -0.65], ['2019-01-07', 209.0, 210.8, 206.0, 207.0, 208.17, 8778.0, 260.0, 1827320.0, 2840.0, 32.35, 4.8, -2.0], ['2019-01-04', 209.1, 209.45, 204.95, 207.0, 207.23, 7676.0, 204.0, 1590709.0, 2665.0, 34.72, 4.5, -2.1], ['2019-01-03', 211.3, 212.95, 208.0, 209.1, 209.96, 10609.0, 273.0, 2227484.0, 5524.0, 52.07, 4.95, -2.2], ['2019-01-02', 212.0, 214.45, 210.1, 210.6, 211.76, 9478.0, 260.0, 2007055.0, 3649.0, 38.5, 4.35, -1.4], ['2019-01-01', 212.0, 213.4, 211.0, 212.0, 212.09, 6088.0, 151.0, 1291205.0, 2780.0, 45.66, 2.4, 0.0], ['2018-12-31', 214.5, 216.55, 211.75, 212.85, 213.69, 9563.0, 250.0, 2043510.0, 3282.0, 34.32, 4.8, -1.65], ['2018-12-28', 211.05, 216.75, 210.1, 212.9, 213.48, 30637.0, 665.0, 6540350.0, 7827.0, 25.55, 6.65, 1.85], ['2018-12-27', 206.7, 214.75, 206.05, 209.8, 211.03, 28801.0, 581.0, 6077946.0, 8123.0, 28.2, 8.7, 3.1], ['2018-12-26', 210.45, 211.2, 203.0, 204.75, 205.89, 28178.0, 625.0, 5801602.0, 9247.0, 32.82, 8.2, -5.7], ['2018-12-24', 211.55, 217.6, 211.05, 212.4, 213.91, 23836.0, 513.0, 5098749.0, 6535.0, 27.42, 6.55, 0.85], ['2018-12-21', 222.25, 222.25, 211.0, 212.4, 214.61, 36345.0, 840.0, 7800020.0, 8042.0, 22.13, 11.25, -9.85], ['2018-12-20', 230.0, 230.0, 221.1, 222.6, 223.6, 36720.0, 953.0, 8210576.0, 7352.0, 20.02, 8.9, -7.4], ['2018-12-19', 215.25, 235.4, 209.25, 227.7, 227.62, 146268.0, 3153.0, 33292891.0, 28101.0, 19.21, 26.15, 12.45], ['2018-12-18', 197.0, 212.55, 196.0, 209.9, 207.54, 62042.0, 1458.0, 12876244.0, 20901.0, 33.69, 16.55, 12.9], ['2018-12-17', 192.0, 199.65, 190.05, 197.2, 194.74, 11633.0, 292.0, 2265383.0, 4881.0, 41.96, 9.6, 5.2], ['2018-12-14', 187.05, 193.0, 187.05, 190.2, 190.21, 13229.0, 239.0, 2516295.0, 8926.0, 67.47, 5.95, 3.15], ['2018-12-13', 189.95, 193.0, 188.0, 188.75, 189.77, 16714.0, 365.0, 3171776.0, 7255.0, 43.41, 5.0, -1.2], ['2018-12-12', 182.35, 189.5, 182.35, 187.2, 188.01, 9516.0, 189.0, 1789150.0, 4796.0, 50.4, 7.15, 4.85], ['2018-12-11', 181.0, 185.6, 179.0, 184.85, 183.79, 11413.0, 232.0, 2097636.0, 6206.0, 54.38, 6.6, 3.85], ['2018-12-10', 182.5, 183.55, 179.95, 181.5, 181.25, 7681.0, 212.0, 1392190.0, 3391.0, 44.15, 3.6, -1.0], ['2018-12-07', 185.05, 188.0, 183.0, 183.9, 185.08, 14128.0, 291.0, 2614746.0, 8771.0, 62.08, 5.0, -1.15], ['2018-12-06', 186.0, 187.95, 184.0, 185.45, 185.18, 10264.0, 258.0, 1900681.0, 5447.0, 53.07, 3.95, -0.55], ['2018-12-05', 189.0, 191.7, 185.7, 188.1, 188.25, 16987.0, 427.0, 3197825.0, 4438.0, 26.13, 6.0, -0.9], ['2018-12-04', 191.0, 194.55, 189.05, 190.25, 191.37, 13060.0, 390.0, 2499314.0, 5628.0, 43.09, 5.5, -0.75], ['2018-12-03', 196.0, 196.0, 189.75, 190.3, 192.76, 9954.0, 249.0, 1918764.0, 6379.0, 64.08, 6.25, -5.7], ['2018-11-30', 197.6, 199.05, 193.4, 194.6, 196.23, 5439.0, 173.0, 1067294.0, 2156.0, 39.64, 5.65, -3.0], ['2018-11-29', 197.0, 201.2, 196.05, 196.85, 197.73, 7528.0, 224.0, 1488517.0, 3014.0, 40.04, 5.15, -0.15], ['2018-11-28', 198.05, 199.15, 195.85, 196.2, 196.97, 8633.0, 178.0, 1700446.0, 5313.0, 61.54, 3.3, -1.85], ['2018-11-27', 198.9, 200.0, 196.15, 198.15, 198.34, 8375.0, 187.0, 1661076.0, 2514.0, 30.02, 3.85, -0.75], ['2018-11-26', 197.0, 202.35, 197.0, 198.9, 199.1, 27338.0, 462.0, 5442917.0, 8623.0, 31.54, 5.35, 1.9], ['2018-11-22', 201.9, 204.6, 197.25, 198.2, 200.35, 9407.0, 264.0, 1884666.0, 1939.0, 20.61, 7.35, -3.7], ['2018-11-21', 202.55, 203.0, 198.0, 200.9, 199.99, 11654.0, 366.0, 2330629.0, 3998.0, 34.31, 5.0, -1.65], ['2018-11-20', 206.4, 207.55, 200.65, 202.45, 204.32, 13742.0, 361.0, 2807776.0, 7039.0, 51.22, 6.9, -3.95], ['2018-11-19', 210.9, 210.9, 205.3, 206.05, 207.65, 15989.0, 338.0, 3320146.0, 7262.0, 45.42, 5.6, -4.85], ['2018-11-16', 210.5, 212.9, 208.5, 209.2, 210.23, 16494.0, 323.0, 3467525.0, 7101.0, 43.05, 4.4, -1.3], ['2018-11-15', 215.5, 215.5, 208.0, 209.15, 209.78, 13994.0, 272.0, 2935660.0, 5319.0, 38.01, 7.5, -6.35], ['2018-11-14', 210.25, 216.5, 209.0, 213.45, 214.1, 29959.0, 566.0, 6414309.0, 11533.0, 38.5, 7.5, 3.2], ['2018-11-13', 220.0, 220.0, 207.65, 209.15, 211.72, 56800.0, 992.0, 12025943.0, 25962.0, 45.71, 12.35, -10.85], ['2018-11-12', 220.0, 228.25, 218.45, 224.65, 223.57, 40314.0, 801.0, 9013088.0, 13688.0, 33.95, 9.8, 4.65], ['2018-11-09', 206.1, 222.7, 206.1, 220.85, 216.7, 31904.0, 673.0, 6913697.0, 13609.0, 42.66, 16.6, 14.75], ['2018-11-07', 209.25, 211.0, 208.0, 209.9, 209.77, 4483.0, 71.0, 940397.0, 3287.0, 73.32, 3.0, 0.65], ['2018-11-06', 209.65, 210.0, 206.0, 207.25, 207.88, 11148.0, 191.0, 2317451.0, 2264.0, 20.31, 4.0, -2.4], ['2018-11-05', 206.05, 209.0, 203.3, 207.4, 205.5, 33119.0, 306.0, 6805927.0, 22992.0, 69.42, 5.7, 1.35], ['2018-11-02', 207.5, 212.7, 206.0, 206.95, 208.27, 27756.0, 344.0, 5780634.0, 17853.0, 64.32, 6.7, -0.55], ['2018-11-01', 203.75, 207.8, 200.9, 206.45, 204.9, 14636.0, 319.0, 2998869.0, 4524.0, 30.91, 6.9, 2.7], ['2018-10-31', 198.0, 204.75, 197.7, 201.75, 201.59, 19984.0, 419.0, 4028647.0, 4113.0, 20.58, 7.05, 3.75], ['2018-10-30', 193.1, 205.3, 192.25, 196.75, 196.48, 23797.0, 605.0, 4675612.0, 5219.0, 21.93, 13.05, 3.65], ['2018-10-29', 183.05, 195.0, 183.05, 193.3, 192.53, 20075.0, 538.0, 3865126.0, 7444.0, 37.08, 11.95, 10.25], ['2018-10-26', 186.9, 188.4, 182.35, 185.1, 185.85, 15880.0, 424.0, 2951253.0, 3226.0, 20.31, 6.05, -1.8], ['2018-10-25', 182.5, 188.45, 181.0, 186.5, 184.51, 8399.0, 248.0, 1549734.0, 2576.0, 30.67, 7.45, 4.0], ['2018-10-24', 189.0, 189.0, 183.4, 185.55, 185.78, 10843.0, 285.0, 2014405.0, 3004.0, 27.7, 5.6, -3.45], ['2018-10-23', 186.0, 189.4, 183.8, 185.8, 186.03, 20892.0, 496.0, 3886546.0, 2869.0, 13.73, 5.6, -0.2], ['2018-10-22', 192.65, 193.5, 188.5, 189.25, 190.9, 12360.0, 271.0, 2359550.0, 4669.0, 37.78, 5.0, -3.4], ['2018-10-19', 186.15, 194.0, 186.15, 191.5, 190.37, 18490.0, 390.0, 3519882.0, 7710.0, 41.7, 7.85, 5.35], ['2018-10-17', 201.05, 203.55, 186.4, 188.3, 192.73, 29028.0, 713.0, 5594430.0, 12854.0, 44.28, 17.15, -12.75], ['2018-10-16', 200.05, 206.65, 198.7, 199.25, 201.34, 16618.0, 398.0, 3345897.0, 3784.0, 22.77, 7.95, -0.8], ['2018-10-15', 195.5, 201.9, 193.65, 200.2, 199.5, 17244.0, 467.0, 3440180.0, 3757.0, 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['2018-05-30', 312.05, 317.9, 311.15, 311.9, 314.2, 24477.0, 361.0, 7690757.0, 11660.0, 47.64, 6.75, -0.15], ['2018-05-29', 316.6, 319.9, 312.0, 314.6, 315.77, 25606.0, 492.0, 8085687.0, 12537.0, 48.96, 7.9, -2.0], ['2018-05-28', 307.0, 322.7, 304.5, 319.2, 317.82, 66425.0, 1389.0, 21111431.0, 20596.0, 31.01, 18.2, 12.2], ['2018-05-25', 304.15, 307.5, 302.75, 306.7, 305.35, 42951.0, 578.0, 13114887.0, 14879.0, 34.64, 4.75, 2.55], ['2018-05-24', 306.4, 307.65, 300.6, 302.2, 303.55, 28673.0, 510.0, 8703696.0, 14079.0, 49.1, 7.05, -4.2], ['2018-05-23', 303.15, 312.65, 302.6, 303.35, 307.25, 27380.0, 448.0, 8412530.0, 9628.0, 35.16, 10.05, 0.2], ['2018-05-22', 304.25, 310.6, 302.35, 305.25, 306.36, 41006.0, 668.0, 12562797.0, 10461.0, 25.51, 8.25, 1.0], ['2018-05-21', 301.0, 312.0, 297.25, 304.25, 304.02, 53380.0, 765.0, 16228769.0, 14331.0, 26.85, 14.75, 3.25], ['2018-05-18', 313.9, 316.3, 303.0, 303.6, 307.97, 50945.0, 801.0, 15689718.0, 19522.0, 38.32, 13.3, -10.3], ['2018-05-17', 316.7, 320.0, 312.0, 313.25, 316.15, 54089.0, 845.0, 17099991.0, 11143.0, 20.6, 8.0, -3.45], ['2018-05-16', 314.5, 321.1, 310.0, 315.3, 314.67, 61954.0, 970.0, 19494944.0, 19325.0, 31.19, 11.1, 0.8], ['2018-05-15', 324.3, 338.0, 314.0, 316.65, 326.36, 109453.0, 1554.0, 35720677.0, 20539.0, 18.77, 24.0, -7.65], ['2018-05-14', 339.5, 344.0, 321.8, 324.5, 332.37, 65537.0, 991.0, 21782821.0, 20151.0, 30.75, 22.2, -15.0], ['2018-05-11', 345.0, 354.15, 337.75, 340.1, 347.51, 131732.0, 2231.0, 45778741.0, 31565.0, 23.96, 16.4, -4.9], ['2018-05-10', 343.0, 352.0, 334.0, 335.5, 342.2, 89455.0, 1574.0, 30611175.0, 19764.0, 22.09, 18.0, -7.5], ['2018-05-09', 348.1, 353.3, 344.0, 346.55, 348.24, 80803.0, 1391.0, 28138759.0, 15472.0, 19.15, 9.3, -1.55], ['2018-05-08', 345.0, 352.2, 337.3, 348.2, 343.16, 144421.0, 1984.0, 49559200.0, 17507.0, 12.12, 14.9, 3.2], ['2018-05-07', 339.95, 349.0, 338.0, 344.15, 343.71, 68993.0, 1202.0, 23713588.0, 14949.0, 21.67, 11.0, 4.2], ['2018-05-04', 330.75, 339.4, 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['2017-11-24', 231.5, 234.15, 223.05, 225.4, 228.76, 67421.0, 1360.0, 15422996.0, 29988.0, 44.48, 11.1, -6.1], ['2017-11-23', 223.0, 234.35, 221.7, 231.25, 229.5, 118866.0, 2830.0, 27280128.0, 38352.0, 32.26, 12.65, 8.25], ['2017-11-22', 224.9, 226.0, 221.2, 222.3, 223.56, 28057.0, 679.0, 6272390.0, 10569.0, 37.67, 4.8, -2.6], ['2017-11-21', 220.6, 229.8, 218.95, 222.8, 224.64, 96387.0, 2369.0, 21652186.0, 22740.0, 23.59, 10.85, 2.2], ['2017-11-20', 218.5, 222.2, 215.75, 218.4, 218.76, 55168.0, 1411.0, 12068313.0, 11430.0, 20.72, 6.45, -0.1], ['2017-11-17', 225.9, 225.9, 215.1, 217.15, 220.84, 70891.0, 1585.0, 15655288.0, 24578.0, 34.67, 10.8, -8.75], ['2017-11-16', 219.8, 226.85, 218.25, 223.35, 223.07, 129477.0, 2686.0, 28882901.0, 38034.0, 29.38, 8.6, 3.55], ['2017-11-15', 218.0, 222.9, 213.8, 218.05, 219.07, 125071.0, 2784.0, 27399510.0, 37642.0, 30.1, 9.1, 0.05], ['2017-11-14', 210.4, 226.0, 208.0, 216.5, 219.12, 320580.0, 6577.0, 70244710.0, 57631.0, 17.98, 18.0, 6.1], ['2017-11-13', 209.0, 216.65, 206.0, 208.4, 211.04, 200095.0, 4294.0, 42227126.0, 49393.0, 24.68, 10.65, -0.6], ['2017-11-10', 189.25, 204.4, 188.0, 196.9, 198.22, 60641.0, 1605.0, 12020031.0, 18699.0, 30.84, 16.4, 7.65], ['2017-11-09', 190.15, 191.4, 187.75, 189.15, 189.4, 9612.0, 266.0, 1820543.0, 4651.0, 48.39, 3.65, -1.0], ['2017-11-08', 192.0, 192.0, 187.5, 187.85, 189.63, 14713.0, 337.0, 2790084.0, 8046.0, 54.69, 4.5, -4.15], ['2017-11-07', 195.0, 196.0, 190.2, 190.5, 192.53, 15207.0, 350.0, 2927831.0, 5319.0, 34.98, 5.8, -4.5], ['2017-11-06', 195.4, 198.4, 193.2, 193.85, 195.63, 20755.0, 450.0, 4060380.0, 9974.0, 48.06, 5.2, -1.55], ['2017-11-03', 199.0, 200.95, 195.0, 195.8, 197.43, 34699.0, 619.0, 6850491.0, 8839.0, 25.47, 5.95, -3.2], ['2017-11-02', 197.0, 202.0, 195.1, 197.85, 198.68, 30688.0, 695.0, 6096958.0, 9655.0, 31.46, 6.9, 0.85], ['2017-11-01', 199.2, 200.75, 196.05, 196.8, 198.27, 36819.0, 693.0, 7300103.0, 16879.0, 45.84, 4.7, -2.4], ['2017-10-31', 194.2, 197.9, 193.3, 195.35, 195.71, 15225.0, 321.0, 2979711.0, 6160.0, 40.46, 4.6, 1.15], ['2017-10-30', 193.55, 198.75, 192.85, 194.25, 195.42, 43938.0, 900.0, 8586235.0, 11893.0, 27.07, 5.9, 0.7], ['2017-10-27', 191.9, 193.8, 190.3, 192.65, 192.21, 16976.0, 339.0, 3263033.0, 9760.0, 57.49, 3.5, 0.75], ['2017-10-26', 183.7, 193.0, 183.7, 189.9, 189.76, 26753.0, 556.0, 5076712.0, 9888.0, 36.96, 9.3, 6.2], ['2017-10-25', 186.65, 186.65, 184.3, 185.15, 185.06, 9332.0, 166.0, 1726986.0, 5455.0, 58.45, 2.35, -1.5], ['2017-10-24', 186.3, 188.5, 184.9, 185.4, 186.61, 13848.0, 260.0, 2584194.0, 3994.0, 28.84, 3.6, -0.9], ['2017-10-23', 188.0, 189.25, 184.8, 186.2, 186.91, 27825.0, 465.0, 5200883.0, 4969.0, 17.86, 4.45, -1.8], ['2017-10-19', 184.5, 187.8, 184.5, 185.75, 185.61, 3975.0, 148.0, 737797.0, 2477.0, 62.31, 3.3, 1.25], ['2017-10-18', 185.0, 187.25, 182.9, 183.1, 184.11, 12370.0, 247.0, 2277481.0, 7362.0, 59.51, 4.35, -1.9], ['2017-10-17', 186.4, 188.15, 185.5, 186.2, 186.99, 13293.0, 268.0, 2485678.0, 3072.0, 23.11, 2.65, -0.2], ['2017-10-16', 188.4, 190.8, 185.5, 186.25, 187.85, 25258.0, 506.0, 4744794.0, 8214.0, 32.52, 5.3, -2.15], ['2017-10-13', 197.0, 197.0, 187.15, 188.4, 190.17, 23934.0, 574.0, 4551611.0, 6181.0, 25.83, 9.85, -8.6], ['2017-10-12', 193.2, 195.25, 191.25, 192.75, 193.2, 39935.0, 661.0, 7715624.0, 3716.0, 9.31, 4.0, -0.45], ['2017-10-11', 191.35, 197.9, 190.25, 192.05, 193.88, 44643.0, 770.0, 8655451.0, 12870.0, 28.83, 7.65, 0.7], ['2017-10-10', 188.0, 194.0, 188.0, 190.85, 191.14, 54723.0, 703.0, 10459808.0, 29132.0, 53.24, 6.0, 2.85], ['2017-10-09', 187.0, 194.3, 186.8, 189.85, 191.37, 41458.0, 815.0, 7934022.0, 11075.0, 26.71, 7.5, 2.85], ['2017-10-06', 185.1, 187.5, 183.5, 185.8, 184.96, 30983.0, 552.0, 5730709.0, 4418.0, 14.26, 4.0, 0.7], ['2017-10-05', 184.85, 187.9, 182.1, 182.95, 184.94, 22084.0, 443.0, 4084143.0, 4095.0, 18.54, 5.8, -1.9], ['2017-10-04', 183.85, 187.35, 182.9, 184.3, 185.04, 20906.0, 416.0, 3868538.0, 3982.0, 19.05, 4.45, 0.45], ['2017-10-03', 178.05, 186.0, 178.05, 183.0, 182.31, 46944.0, 900.0, 8558506.0, 11470.0, 24.43, 7.95, 4.95], ['2017-09-29', 182.75, 182.75, 177.6, 179.2, 179.92, 21191.0, 358.0, 3812631.0, 5379.0, 25.38, 5.15, -3.55], ['2017-09-28', 178.0, 180.0, 176.3, 177.7, 178.08, 13620.0, 280.0, 2425452.0, 4328.0, 31.78, 3.7, -0.3], ['2017-09-27', 180.65, 182.5, 176.0, 176.75, 178.74, 13979.0, 455.0, 2498609.0, 7647.0, 54.7, 6.5, -3.9], ['2017-09-26', 181.95, 183.0, 178.5, 181.2, 181.21, 15869.0, 379.0, 2875672.0, 6330.0, 39.89, 4.5, -0.75], ['2017-09-25', 184.55, 186.0, 179.3, 180.95, 181.39, 35132.0, 754.0, 6372754.0, 5847.0, 16.64, 6.7, -3.6], ['2017-09-22', 188.65, 188.95, 184.0, 185.0, 185.96, 14740.0, 312.0, 2741118.0, 7098.0, 48.15, 4.95, -3.65], ['2017-09-21', 192.95, 193.75, 185.2, 189.2, 189.52, 22587.0, 520.0, 4280697.0, 8196.0, 36.29, 8.55, -3.75], ['2017-09-20', 194.85, 196.45, 191.6, 191.95, 193.39, 30864.0, 573.0, 5968747.0, 6882.0, 22.3, 4.85, -2.9], ['2017-09-19', 194.75, 198.5, 191.9, 193.15, 194.67, 40062.0, 818.0, 7798949.0, 11786.0, 29.42, 6.6, -1.6], ['2017-09-18', 192.65, 194.2, 190.7, 191.65, 192.83, 23498.0, 452.0, 4531215.0, 9732.0, 41.42, 3.5, -1.0], ['2017-09-15', 193.5, 194.9, 189.0, 190.15, 191.31, 28803.0, 559.0, 5510289.0, 11209.0, 38.92, 5.9, -3.35], ['2017-09-14', 194.65, 199.0, 194.05, 194.7, 196.23, 19737.0, 473.0, 3872961.0, 4374.0, 22.16, 4.95, 0.05], ['2017-09-13', 197.5, 197.7, 192.8, 193.55, 195.83, 27697.0, 631.0, 5423776.0, 9415.0, 33.99, 4.9, -3.95], ['2017-09-12', 197.0, 200.8, 195.5, 196.75, 197.98, 27456.0, 616.0, 5435825.0, 5875.0, 21.4, 5.3, -0.25], ['2017-09-11', 199.8, 199.95, 194.05, 195.0, 197.06, 19017.0, 374.0, 3747557.0, 9889.0, 52.0, 5.9, -4.8], ['2017-09-08', 198.0, 203.75, 196.1, 197.65, 200.52, 49911.0, 954.0, 10008066.0, 21027.0, 42.13, 7.65, -0.35], ['2017-09-07', 194.45, 205.8, 194.0, 199.6, 200.37, 85502.0, 2155.0, 17131790.0, 17505.0, 20.47, 11.8, 5.15], ['2017-09-06', 193.9, 195.5, 192.0, 192.85, 193.91, 51208.0, 1005.0, 9929656.0, 7624.0, 14.89, 3.5, -1.05], ['2017-09-05', 195.7, 197.05, 194.0, 195.35, 195.8, 53713.0, 847.0, 10517224.0, 4468.0, 8.32, 3.05, -0.35], ['2017-09-04', 195.9, 201.75, 191.2, 193.6, 196.74, 75215.0, 1309.0, 14797733.0, 15144.0, 20.13, 10.55, -2.3], ['2017-09-01', 192.9, 200.9, 191.15, 197.4, 196.4, 82132.0, 1398.0, 16130980.0, 24817.0, 30.22, 9.75, 4.5], ['2017-08-31', 183.5, 194.3, 180.6, 190.65, 189.09, 109809.0, 1671.0, 20763619.0, None, None, 13.7, 7.15], ['2017-08-30', 177.7, 185.35, 176.4, 183.5, 180.67, 59332.0, 987.0, 10719576.0, 15553.0, 26.21, 8.95, 5.8], ['2017-08-29', 174.6, 179.9, 174.6, 175.7, 176.94, 31905.0, 643.0, 5645230.0, 9943.0, 31.16, 5.3, 1.1], ['2017-08-28', 178.1, 179.3, 172.95, 174.6, 176.94, 31541.0, 580.0, 5580879.0, 11154.0, 35.36, 6.35, -3.5], ['2017-08-24', 177.0, 178.85, 175.85, 176.3, 177.37, 28082.0, 501.0, 4981043.0, 7994.0, 28.47, 3.0, -0.7], ['2017-08-23', 176.0, 179.9, 175.65, 177.15, 178.52, 50406.0, 764.0, 8998700.0, 12665.0, 25.13, 4.25, 1.15], ['2017-08-22', 178.0, 182.0, 174.8, 175.65, 178.19, 39056.0, 845.0, 6959306.0, 7495.0, 19.19, 7.2, -2.35], ['2017-08-21', 186.0, 186.0, 179.0, 180.15, 182.77, 34222.0, 553.0, 6254804.0, 8260.0, 24.14, 7.0, -5.85], ['2017-08-18', 185.0, 185.6, 180.05, 183.85, 183.19, 34322.0, 687.0, 6287460.0, 12223.0, 35.61, 5.55, -1.15], ['2017-08-17', 189.05, 191.6, 186.5, 187.2, 189.03, 29154.0, 567.0, 5511091.0, 10878.0, 37.31, 5.1, -1.85], ['2017-08-16', 182.5, 189.9, 182.25, 188.15, 187.3, 33710.0, 653.0, 6313838.0, 6670.0, 19.79, 7.65, 5.65], ['2017-08-14', 189.3, 189.3, 172.75, 183.4, 181.53, 78508.0, 1534.0, 14251717.0, 26304.0, 33.5, 16.55, -5.9], ['2017-08-11', 191.0, 196.7, 185.05, 190.6, 192.13, 45334.0, 967.0, 8709915.0, 14544.0, 32.08, 11.65, -0.4], ['2017-08-10', 204.3, 205.8, 189.0, 192.1, 199.17, 49888.0, 879.0, 9936077.0, 20225.0, 40.54, 16.8, -12.2], ['2017-08-09', 210.15, 210.15, 204.0, 205.3, 206.69, 26925.0, 481.0, 5565030.0, 8200.0, 30.45, 6.15, -4.85], ['2017-08-08', 212.0, 213.45, 208.1, 208.75, 210.65, 40048.0, 521.0, 8436081.0, 5747.0, 14.35, 5.35, -3.25], ['2017-08-07', 210.15, 213.2, 210.15, 212.0, 212.17, 40855.0, 574.0, 8668077.0, 11003.0, 26.93, 3.05, 1.85], ['2017-08-04', 209.55, 212.0, 206.85, 208.6, 208.59, 40744.0, 678.0, 8498652.0, 12828.0, 31.48, 5.15, -0.95], ['2017-08-03', 210.0, 211.5, 207.8, 208.5, 209.31, 10174.0, 256.0, 2129526.0, 5054.0, 49.68, 3.7, -1.5], ['2017-08-02', 214.8, 214.8, 211.1, 212.15, 212.88, 14071.0, 299.0, 2995464.0, 6813.0, 48.42, 3.7, -2.65], ['2017-08-01', 212.05, 217.0, 212.05, 213.45, 214.46, 25488.0, 427.0, 5466129.0, 10628.0, 41.7, 4.95, 1.4], ['2017-07-31', 215.0, 215.0, 212.0, 213.05, 213.42, 36575.0, 566.0, 7805810.0, 11024.0, 30.14, 3.0, -1.95], ['2017-07-28', 212.0, 216.7, 211.05, 214.15, 214.92, 29790.0, 520.0, 6402558.0, 10127.0, 33.99, 5.65, 2.15], ['2017-07-27', 219.0, 220.0, 213.2, 213.55, 216.8, 42871.0, 803.0, 9294647.0, 11875.0, 27.7, 6.8, -5.45], ['2017-07-26', 220.0, 221.9, 217.2, 217.6, 220.02, 45033.0, 769.0, 9908241.0, 10871.0, 24.14, 4.7, -2.4], ['2017-07-25', 218.0, 222.25, 217.0, 219.25, 220.14, 45379.0, 849.0, 9989657.0, 10479.0, 23.09, 5.25, 1.25], ['2017-07-24', 222.0, 224.7, 218.35, 220.1, 221.82, 23891.0, 511.0, 5299468.0, 8177.0, 34.23, 6.35, -1.9], ['2017-07-21', 225.0, 226.65, 218.2, 221.6, 223.24, 42397.0, 862.0, 9464839.0, 10784.0, 25.44, 8.45, -3.4], ['2017-07-20', 228.3, 228.5, 224.0, 224.8, 226.05, 47281.0, 840.0, 10688105.0, 8445.0, 17.86, 4.5, -3.5], ['2017-07-19', 224.25, 230.2, 224.2, 226.15, 227.46, 63135.0, 1040.0, 14360589.0, 13774.0, 21.82, 6.0, 1.9], ['2017-07-18', 225.5, 229.0, 223.6, 225.3, 225.98, 70911.0, 1282.0, 16024167.0, 24706.0, 34.84, 5.4, -0.2], ['2017-07-17', 222.85, 226.15, 221.0, 222.7, 223.33, 58940.0, 1117.0, 13163330.0, 10263.0, 17.41, 5.15, -0.15], ['2017-07-14', 229.65, 229.65, 220.8, 221.65, 224.15, 101040.0, 1629.0, 22648354.0, 14170.0, 14.02, 8.85, -8.0], ['2017-07-13', 224.8, 231.5, 222.3, 228.0, 226.02, 119564.0, 2080.0, 27023661.0, 23114.0, 19.33, 9.2, 3.2], ['2017-07-12', 225.8, 227.85, 221.6, 223.25, 224.56, 65815.0, 1357.0, 14779481.0, 14772.0, 22.44, 6.25, -2.55], ['2017-07-11', 219.15, 231.0, 215.65, 224.65, 225.15, 185938.0, 4001.0, 41863717.0, 38762.0, 20.85, 15.35, 5.5], ['2017-07-10', 222.7, 224.6, 218.55, 219.6, 221.79, 100521.0, 1266.0, 22294074.0, 52108.0, 51.84, 6.05, -3.1], ['2017-07-07', 204.7, 225.0, 203.9, 221.0, 217.85, 245246.0, 5077.0, 53426329.0, 52085.0, 21.24, 21.1, 16.3], ['2017-07-06', 203.0, 205.7, 203.0, 204.3, 204.38, 27628.0, 572.0, 5646619.0, 10876.0, 39.37, 2.7, 1.3], ['2017-07-05', 206.0, 206.2, 201.85, 202.6, 203.21, 32574.0, 756.0, 6619281.0, 14643.0, 44.95, 4.35, -3.4], ['2017-07-04', 206.6, 209.0, 204.0, 205.35, 206.22, 22151.0, 524.0, 4567956.0, 10549.0, 47.62, 5.0, -1.25], ['2017-07-03', 207.0, 208.65, 206.1, 207.25, 207.09, 24286.0, 411.0, 5029318.0, 10583.0, 43.58, 2.55, 0.25], ['2017-06-30', 207.25, 209.25, 206.0, 206.75, 207.24, 13950.0, 308.0, 2890975.0, 7560.0, 54.19, 3.25, -0.5], ['2017-06-29', 208.55, 211.9, 208.0, 208.35, 210.3, 34226.0, 589.0, 7197680.0, 6666.0, 19.48, 3.9, -0.2], ['2017-06-28', 209.95, 211.5, 207.15, 208.2, 209.94, 52268.0, 1059.0, 10973376.0, 12241.0, 23.42, 4.35, -1.75], ['2017-06-27', 209.9, 209.9, 205.25, 206.75, 207.15, 17377.0, 432.0, 3599653.0, 6782.0, 39.03, 4.65, -3.15], ...]
In [8]:
import pandas as pd
df = pd.DataFrame(data['dataset']['data'],columns=data['dataset']['column_names'])
df
Out[8]:
| Date | Open | High | Low | Close | WAP | No. of Shares | No. of Trades | Total Turnover | Deliverable Quantity | % Deli. Qty to Traded Qty | Spread H-L | Spread C-O | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2021-07-08 | 294.10 | 295.45 | 284.30 | 287.70 | 289.84 | 70920.0 | 2647.0 | 20555342.0 | 14016.0 | 19.76 | 11.15 | -6.40 |
| 1 | 2021-07-07 | 292.00 | 296.50 | 288.35 | 294.10 | 292.01 | 84635.0 | 2484.0 | 24713902.0 | 16887.0 | 19.95 | 8.15 | 2.10 |
| 2 | 2021-07-06 | 300.00 | 303.25 | 290.00 | 291.10 | 297.30 | 96810.0 | 2219.0 | 28781348.0 | 15177.0 | 15.68 | 13.25 | -8.90 |
| 3 | 2021-07-05 | 291.30 | 306.00 | 284.50 | 298.05 | 298.63 | 288284.0 | 5557.0 | 86091075.0 | 56308.0 | 19.53 | 21.50 | 6.75 |
| 4 | 2021-07-02 | 284.55 | 296.30 | 284.25 | 287.95 | 289.25 | 308092.0 | 5109.0 | 89115468.0 | 46506.0 | 15.09 | 12.05 | 3.40 |
| … | … | … | … | … | … | … | … | … | … | … | … | … | … |
| 1079 | 2017-02-28 | 248.50 | 253.50 | 247.60 | 248.50 | 249.88 | 66735.0 | 1514.0 | 16675820.0 | 13474.0 | 20.19 | 5.90 | 0.00 |
| 1080 | 2017-02-27 | 251.40 | 252.00 | 244.00 | 247.50 | 249.58 | 28019.0 | 732.0 | 6992855.0 | 11992.0 | 42.80 | 8.00 | -3.90 |
| 1081 | 2017-02-23 | 253.30 | 254.60 | 249.20 | 250.55 | 251.99 | 26262.0 | 600.0 | 6617792.0 | 13570.0 | 51.67 | 5.40 | -2.75 |
| 1082 | 2017-02-22 | 257.00 | 261.00 | 252.60 | 253.05 | 256.18 | 35603.0 | 1067.0 | 9120718.0 | 8450.0 | 23.73 | 8.40 | -3.95 |
| 1083 | 2017-02-21 | 254.25 | 259.50 | 253.00 | 257.75 | 257.17 | 40544.0 | 1048.0 | 10426526.0 | 9129.0 | 22.52 | 6.50 | 3.50 |
1084 rows × 13 columns
In [9]:
df.set_index('Date',inplace=True)
In [10]:
df = df.sort_index()
df
Out[10]:
| Open | High | Low | Close | WAP | No. of Shares | No. of Trades | Total Turnover | Deliverable Quantity | % Deli. Qty to Traded Qty | Spread H-L | Spread C-O | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Date | ||||||||||||
| 2017-02-21 | 254.25 | 259.50 | 253.00 | 257.75 | 257.17 | 40544.0 | 1048.0 | 10426526.0 | 9129.0 | 22.52 | 6.50 | 3.50 |
| 2017-02-22 | 257.00 | 261.00 | 252.60 | 253.05 | 256.18 | 35603.0 | 1067.0 | 9120718.0 | 8450.0 | 23.73 | 8.40 | -3.95 |
| 2017-02-23 | 253.30 | 254.60 | 249.20 | 250.55 | 251.99 | 26262.0 | 600.0 | 6617792.0 | 13570.0 | 51.67 | 5.40 | -2.75 |
| 2017-02-27 | 251.40 | 252.00 | 244.00 | 247.50 | 249.58 | 28019.0 | 732.0 | 6992855.0 | 11992.0 | 42.80 | 8.00 | -3.90 |
| 2017-02-28 | 248.50 | 253.50 | 247.60 | 248.50 | 249.88 | 66735.0 | 1514.0 | 16675820.0 | 13474.0 | 20.19 | 5.90 | 0.00 |
| … | … | … | … | … | … | … | … | … | … | … | … | … |
| 2021-07-02 | 284.55 | 296.30 | 284.25 | 287.95 | 289.25 | 308092.0 | 5109.0 | 89115468.0 | 46506.0 | 15.09 | 12.05 | 3.40 |
| 2021-07-05 | 291.30 | 306.00 | 284.50 | 298.05 | 298.63 | 288284.0 | 5557.0 | 86091075.0 | 56308.0 | 19.53 | 21.50 | 6.75 |
| 2021-07-06 | 300.00 | 303.25 | 290.00 | 291.10 | 297.30 | 96810.0 | 2219.0 | 28781348.0 | 15177.0 | 15.68 | 13.25 | -8.90 |
| 2021-07-07 | 292.00 | 296.50 | 288.35 | 294.10 | 292.01 | 84635.0 | 2484.0 | 24713902.0 | 16887.0 | 19.95 | 8.15 | 2.10 |
| 2021-07-08 | 294.10 | 295.45 | 284.30 | 287.70 | 289.84 | 70920.0 | 2647.0 | 20555342.0 | 14016.0 | 19.76 | 11.15 | -6.40 |
1084 rows × 12 columns
In [11]:
df.index = pd.to_datetime(df.index, dayfirst=True)
In [12]:
import matplotlib.pyplot as plt
plt.rc('figure',figsize=(18,5))
plt.plot(df.Open)
plt.savefig('stock.pdf')
plt.savefig('stock.png')
plt.show()
