I have a time series with some gaps in it and i want to fill the gaps with NaN in loop.
For example, my data is
data = [0 50; 1 100; 2 200; 3 300; 5 500; 6 600; 7 700; 10 1000; 0 30; 2 20; 6 40]
First column and second column refer to time and signal value. But it has 2 objects. (I have thousands objects.). One was begun from 0(first row), the other one was begun 0(9th row). But sometimes it began from 2 or whatever. The solution code should detect the next result when the value of 1st column decreased.
I'd like to change it as a new_data.
new_data = [1 100; 2 200; 3 300; 4 NaN; 5 500; 6 600; 7 700; 8 NaN; 9 NaN; 10 1000; 0 30; 1 NaN; 2 20; 3 NaN; 4 Nan; 5 Nan; 6 40]
How can I make it?
If anyone can help, it would be greatly appreciated.
Thank you!
Best Answer