What the return of ecg_segment() like in fact?

[caitoutou]

According to the documents, the return of ecg_segment() should be like
{
index_1: dataframe_1,
index_2: dataframe_2,
...
index_n: dataframe_n
}
And the dataframe above should be like
Signal Index Label
0 -0.347692 0.000000 -43
1 -0.346690 0.000000 -42
2 -0.345688 0.000000 -41
3 -0.344687 0.000000 -40
4 -0.343685 0.000000 -39
... ... ... ...
796 0.449838 0.175201 753
797 0.450840 0.173778 754
798 0.451842 0.171683 755
799 0.452844 0.168599 756
800 0.453846 0.165006 757

[801 rows x 3 columns]

But in my code, when I print the return of this function, the result is not I expect like
{'1': Signal Index Label
-0.362282 -0.068727 386 1
-0.361281 -0.071331 387 1
-0.360280 -0.075279 388 1
-0.359279 -0.080850 389 1
-0.358278 -0.088321 390 1
... ... ... ...
0.470684 0.016181 1218 1
0.471685 0.018712 1219 1
0.472686 0.020572 1220 1
0.473688 0.021617 1221 1
0.474689 0.021800 1222 1

[837 rows x 3 columns], '2': Signal Index Label
-0.362282 -0.024333 1120 2
-0.361281 -0.023250 1121 2
-0.360280 -0.020961 1122 2
-0.359279 -0.017749 1123 2
-0.358278 -0.013920 1124 2
... ... ... ...
0.470684 -0.012553 1952 2
0.471685 -0.007514 1953 2
0.472686 -0.002372 1954 2
0.473688 0.002745 1955 2
0.474689 0.007706 1956 2

[837 rows x 3 columns], '3': Signal Index Label
-0.362282 0.003646 1859 3
-0.361281 0.009091 1860 3
-0.360280 0.013710 1861 3
-0.359279 0.017185 1862 3
-0.358278 0.019518 1863 3
... ... ... ...
0.470684 -0.074716 2691 3
0.471685 -0.074068 2692 3
0.472686 -0.073069 2693 3
0.473688 -0.071811 2694 3
0.474689 -0.070389 2695 3

[837 rows x 3 columns], '4': Signal Index Label
-0.362282 -0.083960 2620 4
-0.361281 -0.085052 2621 4
-0.360280 -0.086684 2622 4
-0.359279 -0.088842 2623 4
-0.358278 -0.091368 2624 4
... ... ... ...
0.470684 -0.146104 3452 4
0.471685 -0.143141 3453 4
0.472686 -0.139778 3454 4
0.473688 -0.136200 3455 4
0.474689 -0.132591 3456 4

[837 rows x 3 columns], '5': Signal Index Label
-0.362282 -0.157791 3389 5
-0.361281 -0.161455 3390 5
-0.360280 -0.165148 3391 5
-0.359279 -0.168777 3392 5
-0.358278 -0.172245 3393 5
... ... ... ...
0.470684 -0.071297 4221 5
0.471685 -0.070350 4222 5
0.472686 -0.069044 4223 5
0.473688 -0.067412 4224 5
0.474689 -0.065551 4225 5

[837 rows x 3 columns], '6': Signal Index Label
-0.362282 -0.051251 4139 6
-0.361281 -0.051414 4140 6
-0.360280 -0.051924 4141 6
-0.359279 -0.052788 4142 6
-0.358278 -0.054012 4143 6
... ... ... ...
0.470684 0.081000 4971 6
0.471685 0.085161 4972 6
0.472686 0.088976 4973 6
0.473688 0.092293 4974 6
0.474689 0.095058 4975 6

[837 rows x 3 columns], '7': Signal Index Label
-0.362282 0.051321 4874 7
-0.361281 0.049419 4875 7
-0.360280 0.047611 4876 7
-0.359279 0.045922 4877 7
-0.358278 0.044377 4878 7
... ... ... ...
0.470684 0.080012 5706 7
0.471685 0.075071 5707 7
0.472686 0.069237 5708 7
0.473688 0.062884 5709 7
0.474689 0.056382 5710 7

[837 rows x 3 columns], '8': Signal Index Label
-0.362282 0.010795 5615 8
-0.361281 0.005519 5616 8
-0.360280 -0.000402 5617 8
-0.359279 -0.006598 5618 8
-0.358278 -0.012700 5619 8
... ... ... ...
0.470684 -0.055848 6447 8
0.471685 -0.054374 6448 8
0.472686 -0.052740 6449 8
0.473688 -0.051294 6450 8
0.474689 -0.050383 6451 8

[837 rows x 3 columns], '9': Signal Index Label
-0.362282 -0.044441 6373 9
-0.361281 -0.045785 6374 9
-0.360280 -0.045988 6375 9
-0.359279 -0.045201 6376 9
-0.358278 -0.043634 6377 9
... ... ... ...
0.470684 -0.079015 7205 9
0.471685 -0.082239 7206 9
0.472686 -0.085554 7207 9
0.473688 -0.088828 7208 9
0.474689 -0.091928 7209 9

[837 rows x 3 columns], '10': Signal Index Label
-0.362282 -0.098939 7134 10
-0.361281 -0.099188 7135 10
-0.360280 -0.099477 7136 10
-0.359279 -0.099804 7137 10
-0.358278 -0.100167 7138 10
... ... ... ...
0.470684 -0.065222 7966 10
0.471685 -0.065839 7967 10
0.472686 -0.066438 7968 10
0.473688 -0.066985 7969 10
0.474689 -0.067447 7970 10

[837 rows x 3 columns], '11': Signal Index Label
-0.362282 -0.067424 7882 11
-0.361281 -0.067652 7883 11
-0.360280 -0.067633 7884 11
-0.359279 -0.067314 7885 11
-0.358278 -0.066683 7886 11
... ... ... ...
0.470684 0.038891 8714 11
0.471685 0.037591 8715 11
0.472686 0.036268 8716 11
0.473688 0.034927 8717 11
0.474689 0.033582 8718 11

[837 rows x 3 columns], '12': Signal Index Label
-0.362282 0.026439 8620 12
-0.361281 0.026306 8621 12
-0.360280 0.026154 8622 12
-0.359279 0.025978 8623 12
-0.358278 0.025772 8624 12
... ... ... ...
0.470684 0.049031 9452 12
0.471685 0.049093 9453 12
0.472686 0.049481 9454 12
0.473688 0.050287 9455 12
0.474689 0.051601 9456 12

[837 rows x 3 columns], '13': Signal Index Label
-0.362282 0.017697 9364 13
-0.361281 0.014394 9365 13
-0.360280 0.011896 9366 13
-0.359279 0.010292 9367 13
-0.358278 0.009519 9368 13
... ... ... ...
0.470684 0.006695 10196 13
0.471685 0.006575 10197 13
0.472686 0.006800 10198 13
0.473688 0.007351 10199 13
0.474689 0.008208 10200 13

[837 rows x 3 columns], '14': Signal Index Label
-0.362282 0.024189 10118 14
-0.361281 0.020386 10119 14
-0.360280 0.015918 10120 14
-0.359279 0.011043 10121 14
-0.358278 0.006018 10122 14
... ... ... ...
0.470684 -0.112950 10950 14
0.471685 -0.116716 10951 14
0.472686 -0.120453 10952 14
0.473688 -0.123971 10953 14
0.474689 -0.127077 10954 14

[837 rows x 3 columns], '15': Signal Index Label
-0.362282 -0.091655 10875 15
-0.361281 -0.092006 10876 15
-0.360280 -0.092695 10877 15
-0.359279 -0.093731 10878 15
-0.358278 -0.095066 10879 15
... ... ... ...
0.470684 -0.073150 11707 15
0.471685 -0.074615 11708 15
0.472686 -0.075689 11709 15
0.473688 -0.076428 11710 15
0.474689 -0.076891 11711 15

[837 rows x 3 columns], '16': Signal Index Label
-0.362282 -0.107819 11628 16
-0.361281 -0.108235 11629 16
-0.360280 -0.108140 11630 16
-0.359279 -0.107602 11631 16
-0.358278 -0.106690 11632 16
... ... ... ...
0.470684 -0.074242 12460 16
0.471685 -0.072825 12461 16
0.472686 -0.071309 12462 16
0.473688 -0.069785 12463 16
0.474689 -0.068341 12464 16

[837 rows x 3 columns], '17': Signal Index Label
-0.362282 -0.043677 12380 17
-0.361281 -0.041294 12381 17
-0.360280 -0.038814 12382 17
-0.359279 -0.036311 12383 17
-0.358278 -0.033860 12384 17
... ... ... ...
0.470684 0.011094 13212 17
0.471685 0.017552 13213 17
0.472686 0.023655 13214 17
0.473688 0.028963 13215 17
0.474689 0.033035 13216 17

[837 rows x 3 columns], '18': Signal Index Label
-0.362282 -0.017754 13132 18
-0.361281 -0.017104 13133 18
-0.360280 -0.016538 13134 18
-0.359279 -0.016030 13135 18
-0.358278 -0.015552 13136 18
... ... ... ...
0.470684 0.021305 13964 18
0.471685 0.020191 13965 18
0.472686 0.019159 13966 18
0.473688 0.018323 13967 18
0.474689 0.017797 13968 18

[837 rows x 3 columns], '19': Signal Index Label
-0.362282 NaN 13878 19
-0.361281 NaN 13879 19
-0.360280 NaN 13880 19
-0.359279 NaN 13881 19
-0.358278 NaN 13882 19
... ... ... ...
0.470684 NaN 14710 19
0.471685 NaN 14711 19
0.472686 NaN 14712 19
0.473688 NaN 14713 19
0.474689 NaN 14714 19

[837 rows x 3 columns]}

Here is my code:
import neurokit2 as nk
import matplotlib.pyplot as plt
ecg = nk.ecg_simulate(duration=15, sampling_rate=1000, heart_rate=80, noise = 0.05)

qrs_epochs = nk.ecg_segment(ecg, rpeaks=None, sampling_rate=1000, show=True)

print(qrs_epochs)
plt.show()

So my question is: why the 'Signal' column in my result of print() seems to have 2 columns of data????It's so weird to me

[DominiqueMakowski]

import neurokit2 as nk
import matplotlib.pyplot as plt
ecg = nk.ecg_simulate(duration=15, sampling_rate=1000, heart_rate=80, noise = 0.05)

qrs_epochs = nk.ecg_segment(ecg, rpeaks=None, sampling_rate=1000)
qrs_epochs["1"]

Signal	Index	Label
-0.042846	492	1
-0.044126	493	1
-0.045253	494	1
-0.046196	495	1
-0.046925	496	1
...	...	...
-0.007368	1125	1
-0.009301	1126	1
-0.011082	1127	1
-0.012714	1128	1
-0.014199	1129	1

638 rows × 3 columns

```

It does not have 2 columns of signal, but one index (the time) and the signal. Hope that helps!