julia> using Temporal
julia> X = TS(rand(100, 4))
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 0.334 0.4417 0.4319 0.8627
2019-10-16 0.5706 0.5498 0.6391 0.2031
2019-10-17 0.171 0.6499 0.6953 0.0582
2019-10-18 0.201 0.1881 0.2121 0.5463
2019-10-19 0.4347 0.4711 0.0599 0.4485
2019-10-20 0.4075 0.6801 0.3671 0.1978
2019-10-21 0.9219 0.5518 0.1941 0.9007
⋮
2020-01-15 0.6501 0.1361 0.8203 0.5432
2020-01-16 0.1284 0.8279 0.8783 0.2305
2020-01-17 0.2768 0.6168 0.6885 0.3991
2020-01-18 0.724 0.2277 0.7182 0.8105
2020-01-19 0.2376 0.3364 0.1071 0.8501
2020-01-20 0.7703 0.0818 0.8054 0.0178
2020-01-21 0.2088 0.7508 0.6117 0.0395
2020-01-22 0.0651 0.3088 0.1718 0.9766
julia> X + 1
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 1.334 1.4417 1.4319 1.8627
2019-10-16 1.5706 1.5498 1.6391 1.2031
2019-10-17 1.171 1.6499 1.6953 1.0582
2019-10-18 1.201 1.1881 1.2121 1.5463
2019-10-19 1.4347 1.4711 1.0599 1.4485
2019-10-20 1.4075 1.6801 1.3671 1.1978
2019-10-21 1.9219 1.5518 1.1941 1.9007
⋮
2020-01-15 1.6501 1.1361 1.8203 1.5432
2020-01-16 1.1284 1.8279 1.8783 1.2305
2020-01-17 1.2768 1.6168 1.6885 1.3991
2020-01-18 1.724 1.2277 1.7182 1.8105
2020-01-19 1.2376 1.3364 1.1071 1.8501
2020-01-20 1.7703 1.0818 1.8054 1.0178
2020-01-21 1.2088 1.7508 1.6117 1.0395
2020-01-22 1.0651 1.3088 1.1718 1.9766
julia> X - 1
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 -0.666 -0.5583 -0.5681 -0.1373
2019-10-16 -0.4294 -0.4502 -0.3609 -0.7969
2019-10-17 -0.829 -0.3501 -0.3047 -0.9418
2019-10-18 -0.799 -0.8119 -0.7879 -0.4537
2019-10-19 -0.5653 -0.5289 -0.9401 -0.5515
2019-10-20 -0.5925 -0.3199 -0.6329 -0.8022
2019-10-21 -0.0781 -0.4482 -0.8059 -0.0993
⋮
2020-01-15 -0.3499 -0.8639 -0.1797 -0.4568
2020-01-16 -0.8716 -0.1721 -0.1217 -0.7695
2020-01-17 -0.7232 -0.3832 -0.3115 -0.6009
2020-01-18 -0.276 -0.7723 -0.2818 -0.1895
2020-01-19 -0.7624 -0.6636 -0.8929 -0.1499
2020-01-20 -0.2297 -0.9182 -0.1946 -0.9822
2020-01-21 -0.7912 -0.2492 -0.3883 -0.9605
2020-01-22 -0.9349 -0.6912 -0.8282 -0.0234
julia> X * 2
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 0.668 0.8835 0.8637 1.7253
2019-10-16 1.1411 1.0995 1.2782 0.4063
2019-10-17 0.3421 1.2997 1.3906 0.1164
2019-10-18 0.4019 0.3762 0.4241 1.0926
2019-10-19 0.8694 0.9423 0.1198 0.8969
2019-10-20 0.815 1.3601 0.7342 0.3956
2019-10-21 1.8439 1.1037 0.3882 1.8014
⋮
2020-01-15 1.3003 0.2723 1.6405 1.0864
2020-01-16 0.2568 1.6557 1.7566 0.461
2020-01-17 0.5536 1.2336 1.377 0.7982
2020-01-18 1.4479 0.4555 1.4364 1.621
2020-01-19 0.4752 0.6728 0.2142 1.7003
2020-01-20 1.5406 0.1636 1.6109 0.0355
2020-01-21 0.4176 1.5016 1.2233 0.079
2020-01-22 0.1303 0.6176 0.3436 1.9532
julia> X / 2
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 0.167 0.2209 0.2159 0.4313
2019-10-16 0.2853 0.2749 0.3196 0.1016
2019-10-17 0.0855 0.3249 0.3477 0.0291
2019-10-18 0.1005 0.0941 0.106 0.2731
2019-10-19 0.2173 0.2356 0.0299 0.2242
2019-10-20 0.2038 0.34 0.1836 0.0989
2019-10-21 0.461 0.2759 0.097 0.4504
⋮
2020-01-15 0.3251 0.0681 0.4101 0.2716
2020-01-16 0.0642 0.4139 0.4391 0.1152
2020-01-17 0.1384 0.3084 0.3443 0.1995
2020-01-18 0.362 0.1139 0.3591 0.4053
2020-01-19 0.1188 0.1682 0.0536 0.4251
2020-01-20 0.3851 0.0409 0.4027 0.0089
2020-01-21 0.1044 0.3754 0.3058 0.0198
2020-01-22 0.0326 0.1544 0.0859 0.4883
julia> X % 2
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 0.334 0.4417 0.4319 0.8627
2019-10-16 0.5706 0.5498 0.6391 0.2031
2019-10-17 0.171 0.6499 0.6953 0.0582
2019-10-18 0.201 0.1881 0.2121 0.5463
2019-10-19 0.4347 0.4711 0.0599 0.4485
2019-10-20 0.4075 0.6801 0.3671 0.1978
2019-10-21 0.9219 0.5518 0.1941 0.9007
⋮
2020-01-15 0.6501 0.1361 0.8203 0.5432
2020-01-16 0.1284 0.8279 0.8783 0.2305
2020-01-17 0.2768 0.6168 0.6885 0.3991
2020-01-18 0.724 0.2277 0.7182 0.8105
2020-01-19 0.2376 0.3364 0.1071 0.8501
2020-01-20 0.7703 0.0818 0.8054 0.0178
2020-01-21 0.2088 0.7508 0.6117 0.0395
2020-01-22 0.0651 0.3088 0.1718 0.9766
julia> X ^ 2
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 0.1115 0.1951 0.1865 0.7442
2019-10-16 0.3256 0.3022 0.4085 0.0413
2019-10-17 0.0293 0.4223 0.4835 0.0034
2019-10-18 0.0404 0.0354 0.045 0.2984
2019-10-19 0.189 0.222 0.0036 0.2011
2019-10-20 0.1661 0.4625 0.1348 0.0391
2019-10-21 0.85 0.3045 0.0377 0.8113
⋮
2020-01-15 0.4227 0.0185 0.6728 0.295
2020-01-16 0.0165 0.6853 0.7714 0.0531
2020-01-17 0.0766 0.3805 0.474 0.1593
2020-01-18 0.5241 0.0519 0.5158 0.6569
2020-01-19 0.0565 0.1132 0.0115 0.7227
2020-01-20 0.5933 0.0067 0.6487 0.0003
2020-01-21 0.0436 0.5637 0.3741 0.0016
2020-01-22 0.0042 0.0954 0.0295 0.9538
julia> using Temporal
julia> X = TS(rand(100, 4))
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 0.0088 0.7119 0.9671 0.9168
2019-10-16 0.6169 0.0826 0.7116 0.9715
2019-10-17 0.5264 0.6403 0.6467 0.8742
2019-10-18 0.3241 0.9548 0.7284 0.2187
2019-10-19 0.3566 0.254 0.4552 0.7459
2019-10-20 0.3486 0.2352 0.3777 0.3274
2019-10-21 0.9124 0.7295 0.3436 0.875
⋮
2020-01-15 0.2474 0.5906 0.0121 0.1002
2020-01-16 0.4811 0.7831 0.8683 0.5087
2020-01-17 0.7851 0.1471 0.8389 0.3208
2020-01-18 0.7975 0.7962 0.2788 0.6981
2020-01-19 0.1001 0.0252 0.3821 0.1143
2020-01-20 0.7178 0.5483 0.7129 0.9883
2020-01-21 0.5888 0.4734 0.6257 0.9963
2020-01-22 0.6053 0.6974 0.813 0.0302
julia> Y = TS(randn(100, 4))
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 0.2505 -0.1934 -0.0016 -1.1683
2019-10-16 0.2623 -0.8253 0.0865 -0.0336
2019-10-17 -0.9303 0.5466 0.4631 1.4043
2019-10-18 1.1623 -0.0995 -0.5713 0.5131
2019-10-19 -0.0126 0.0282 -1.5095 -0.4819
2019-10-20 0.597 -0.1399 -1.1588 1.5247
2019-10-21 -1.1309 -1.549 -0.319 -1.3002
⋮
2020-01-15 0.5984 -1.1402 -0.271 1.9178
2020-01-16 -0.2247 -0.4658 -0.199 0.1015
2020-01-17 -1.0778 1.0946 -0.6241 -0.7879
2020-01-18 0.9005 -0.5133 -1.2595 0.6583
2020-01-19 -0.0019 0.0163 -0.0239 -0.3533
2020-01-20 -0.2859 2.3607 -0.2905 0.2172
2020-01-21 -0.1292 -0.6768 -0.7118 -0.2119
2020-01-22 -0.2606 -0.2892 -0.4251 -1.4262
julia> X + Y
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 0.2593 0.5185 0.9655 -0.2515
2019-10-16 0.8792 -0.7427 0.7981 0.938
2019-10-17 -0.4039 1.1869 1.1097 2.2785
2019-10-18 1.4865 0.8553 0.157 0.7318
2019-10-19 0.3439 0.2822 -1.0542 0.264
2019-10-20 0.9456 0.0953 -0.7811 1.8522
2019-10-21 -0.2185 -0.8196 0.0246 -0.4252
⋮
2020-01-15 0.8458 -0.5496 -0.2589 2.018
2020-01-16 0.2564 0.3173 0.6693 0.6102
2020-01-17 -0.2927 1.2417 0.2149 -0.4671
2020-01-18 1.698 0.283 -0.9807 1.3564
2020-01-19 0.0981 0.0415 0.3582 -0.239
2020-01-20 0.4318 2.9089 0.4224 1.2055
2020-01-21 0.4596 -0.2034 -0.0861 0.7844
2020-01-22 0.3447 0.4082 0.388 -1.396
julia> X - Y
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 -0.2417 0.9052 0.9686 2.0851
2019-10-16 0.3546 0.9079 0.6251 1.0051
2019-10-17 1.4566 0.0937 0.1836 -0.5301
2019-10-18 -0.8382 1.0543 1.2997 -0.2944
2019-10-19 0.3692 0.2258 1.9647 1.2278
2019-10-20 -0.2483 0.3751 1.5365 -1.1973
2019-10-21 2.0434 2.2785 0.6626 2.1751
⋮
2020-01-15 -0.351 1.7308 0.2832 -1.8176
2020-01-16 0.7057 1.2489 1.0673 0.4072
2020-01-17 1.863 -0.9476 1.463 1.1088
2020-01-18 -0.103 1.3095 1.5384 0.0398
2020-01-19 0.102 0.0089 0.406 0.4675
2020-01-20 1.0037 -1.8124 1.0034 0.7711
2020-01-21 0.7181 1.1502 1.3375 1.2082
2020-01-22 0.8659 0.9866 1.2381 1.4565
julia> X * Y
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 0.0022 -0.1376 -0.0015 -1.0711
2019-10-16 0.1618 -0.0682 0.0615 -0.0326
2019-10-17 -0.4897 0.35 0.2994 1.2276
2019-10-18 0.3767 -0.095 -0.4162 0.1122
2019-10-19 -0.0045 0.0072 -0.6871 -0.3594
2019-10-20 0.2081 -0.0329 -0.4377 0.4993
2019-10-21 -1.0319 -1.13 -0.1096 -1.1376
⋮
2020-01-15 0.148 -0.6734 -0.0033 0.1922
2020-01-16 -0.1081 -0.3648 -0.1728 0.0516
2020-01-17 -0.8463 0.161 -0.5236 -0.2528
2020-01-18 0.7181 -0.4087 -0.3512 0.4595
2020-01-19 -0.0002 0.0004 -0.0091 -0.0404
2020-01-20 -0.2052 1.2943 -0.2071 0.2147
2020-01-21 -0.0761 -0.3204 -0.4454 -0.2111
2020-01-22 -0.1578 -0.2017 -0.3456 -0.0431
julia> X / Y
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 0.0352 -3.6816 -620.5498 -0.7848
2019-10-16 2.352 -0.1001 8.2286 -28.9288
2019-10-17 -0.5658 1.1713 1.3965 0.6225
2019-10-18 0.2789 -9.5965 -1.2749 0.4263
2019-10-19 -28.2717 9.0119 -0.3016 -1.5479
2019-10-20 0.584 -1.6817 -0.326 0.2148
2019-10-21 -0.8068 -0.4709 -1.0772 -0.673
⋮
2020-01-15 0.4134 -0.518 -0.0448 0.0522
2020-01-16 -2.1413 -1.6811 -4.3627 5.0122
2020-01-17 -0.7284 0.1344 -1.3443 -0.4072
2020-01-18 0.8856 -1.5514 -0.2214 1.0604
2020-01-19 -52.2827 1.5416 -15.998 -0.3235
2020-01-20 -2.5102 0.2323 -2.4543 4.5503
2020-01-21 -4.5565 -0.6995 -0.8791 -4.7024
2020-01-22 -2.3224 -2.4116 -1.9127 -0.0212
julia> X % Y
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 0.0088 0.1318 0.0009 0.9168
2019-10-16 0.0923 0.0826 0.0198 0.0312
2019-10-17 0.5264 0.0937 0.1836 0.8742
2019-10-18 0.3241 0.0593 0.157 0.2187
2019-10-19 0.0034 0.0003 0.4552 0.264
2019-10-20 0.3486 0.0953 0.3777 0.3274
2019-10-21 0.9124 0.7295 0.0246 0.875
⋮
2020-01-15 0.2474 0.5906 0.0121 0.1002
2020-01-16 0.0318 0.3173 0.0722 0.0012
2020-01-17 0.7851 0.1471 0.2149 0.3208
2020-01-18 0.7975 0.283 0.2788 0.0398
2020-01-19 0.0005 0.0089 0.0238 0.1143
2020-01-20 0.1459 0.5483 0.132 0.1195
2020-01-21 0.0719 0.4734 0.6257 0.1488
2020-01-22 0.084 0.119 0.388 0.0302
julia> X ^ Y
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 0.3056 1.0679 1.0001 1.1068
2019-10-16 0.881 7.8315 0.971 1.001
2019-10-17 1.8167 0.7837 0.8172 0.828
2019-10-18 0.27 1.0046 1.1985 0.4585
2019-10-19 1.0131 0.9621 3.2801 1.1517
2019-10-20 0.5331 1.2244 3.0901 0.1823
2019-10-21 1.1092 1.6301 1.406 1.1896
⋮
2020-01-15 0.4335 1.823 3.3052 0.0121
2020-01-16 1.1787 1.1206 1.0285 0.9337
2020-01-17 1.2979 0.1227 1.1158 2.4492
2020-01-18 0.8157 1.1241 4.9956 0.7893
2020-01-19 1.0044 0.9416 1.0232 2.1518
2020-01-20 1.0995 0.242 1.1033 0.9975
2020-01-21 1.0708 1.6589 1.3962 1.0008
2020-01-22 1.1398 1.1098 1.092 147.0473
julia> using Temporal
julia> X = TS(randn(100, 4))
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 -0.669 -1.214 -0.3469 -1.5138
2019-10-16 -1.2006 0.8073 0.3829 0.5632
2019-10-17 2.1018 -0.2499 -1.6401 1.5847
2019-10-18 1.1976 -1.3807 -0.4746 -1.2469
2019-10-19 0.1781 1.1045 0.1605 0.7004
2019-10-20 -0.7484 1.4999 -0.1518 1.0712
2019-10-21 -0.8516 0.1275 -1.4527 0.9529
⋮
2020-01-15 -1.2017 0.7205 0.6468 -0.4083
2020-01-16 0.5741 -0.0434 -0.4138 0.1212
2020-01-17 -0.476 -1.1326 -0.7817 -0.0065
2020-01-18 0.2647 -0.4859 0.5054 -1.2165
2020-01-19 -0.4865 -0.0921 0.2232 1.1078
2020-01-20 -0.0732 1.0176 -0.2096 -0.4324
2020-01-21 0.1597 -0.9236 -0.9198 0.1611
2020-01-22 -0.523 1.449 0.7091 -0.6957
julia> mean(X)
-0.06257728952438185
julia> sum(X)
-25.03091580975274
julia> prod(X)
8.110390316705958e-105
julia> cumsum(X)
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 -0.669 -1.214 -0.3469 -1.5138
2019-10-16 -1.8696 -0.4067 0.036 -0.9506
2019-10-17 0.2322 -0.6566 -1.6041 0.6341
2019-10-18 1.4298 -2.0373 -2.0786 -0.6128
2019-10-19 1.608 -0.9327 -1.9181 0.0876
2019-10-20 0.8596 0.5672 -2.0699 1.1588
2019-10-21 0.0079 0.6947 -3.5226 2.1118
⋮
2020-01-15 -9.4998 9.7661 -11.4092 -11.2688
2020-01-16 -8.9257 9.7227 -11.823 -11.1475
2020-01-17 -9.4017 8.5901 -12.6047 -11.154
2020-01-18 -9.137 8.1042 -12.0993 -12.3705
2020-01-19 -9.6235 8.0121 -11.8761 -11.2628
2020-01-20 -9.6967 9.0297 -12.0857 -11.6952
2020-01-21 -9.5369 8.1061 -13.0055 -11.534
2020-01-22 -10.0599 9.5551 -12.2963 -12.2298
julia> cumprod(X)
100x4 TS{Float64,Dates.Date}: 2019-10-15 to 2020-01-22
Index A B C D
2019-10-15 -0.669 -1.214 -0.3469 -1.5138
2019-10-16 0.8032 -0.9801 -0.1328 -0.8526
2019-10-17 1.6881 0.2449 0.2179 -1.3511
2019-10-18 2.0217 -0.3382 -0.1034 1.6848
2019-10-19 0.3601 -0.3735 -0.0166 1.1801
2019-10-20 -0.2695 -0.5602 0.0025 1.2641
2019-10-21 0.2295 -0.0714 -0.0037 1.2047
⋮
2020-01-15 -0.0 0.0 0.0 0.0
2020-01-16 -0.0 -0.0 -0.0 0.0
2020-01-17 0.0 0.0 0.0 -0.0
2020-01-18 0.0 -0.0 0.0 0.0
2020-01-19 -0.0 0.0 0.0 0.0
2020-01-20 0.0 0.0 -0.0 -0.0
2020-01-21 0.0 -0.0 0.0 -0.0
2020-01-22 -0.0 -0.0 0.0 0.0
julia> sign(X)
ERROR: MethodError: no method matching sign(::TS{Float64,Dates.Date})
Closest candidates are:
sign(!Matched::Missing) at missing.jl:79
sign(!Matched::Bool) at bool.jl:82
sign(!Matched::Unsigned) at number.jl:143
...
julia> log(X)
ERROR: MethodError: no method matching log(::TS{Float64,Dates.Date})
Closest candidates are:
log(!Matched::Float16) at math.jl:1019
log(!Matched::Complex{Float16}) at math.jl:1020
log(!Matched::Float64) at special/log.jl:254
...
julia> minimum(X)
-3.067662282153701
julia> cummin(X)
ERROR: UndefVarError: cummin not defined
julia> maximum(X)
2.6655174630101066
julia> cummax(X)
ERROR: UndefVarError: cummax not defined