I need to find or create functions that can look at multiple series of data, basically y values for regularly spaced x values (where x is actually the time coordinate) that lie on a continuous curve. The function would report back in some form I can use in if statements to get my overall program’s results. I need to understand the larger trends between multiple data series, for very many series.
I am thinking I just need simple capability compared to sophisticated data analysis: does the data always increase or always decrease? Is it non-linear? Are there gaps? Does it have multiple minimums or maximums? What is the index value before and after an inflection point? As a bonus, I could use a function that tells me the before and after indices where two series cross.
I have been trying to do this with for loops which got ugly and then with list comprehension which is brand new to me and I am struggling with that as well.
I found this list:
https://github.com/MaxBenChrist/awesome_time_series_in_python
But I do not know enough to choose one with any confidence.
submitted by /u/spacester
[link] [comments]
r/learnpython I need to find or create functions that can look at multiple series of data, basically y values for regularly spaced x values (where x is actually the time coordinate) that lie on a continuous curve. The function would report back in some form I can use in if statements to get my overall program’s results. I need to understand the larger trends between multiple data series, for very many series. I am thinking I just need simple capability compared to sophisticated data analysis: does the data always increase or always decrease? Is it non-linear? Are there gaps? Does it have multiple minimums or maximums? What is the index value before and after an inflection point? As a bonus, I could use a function that tells me the before and after indices where two series cross. I have been trying to do this with for loops which got ugly and then with list comprehension which is brand new to me and I am struggling with that as well. I found this list: https://github.com/MaxBenChrist/awesome_time_series_in_python But I do not know enough to choose one with any confidence. submitted by /u/spacester [link] [comments]
I need to find or create functions that can look at multiple series of data, basically y values for regularly spaced x values (where x is actually the time coordinate) that lie on a continuous curve. The function would report back in some form I can use in if statements to get my overall program’s results. I need to understand the larger trends between multiple data series, for very many series.
I am thinking I just need simple capability compared to sophisticated data analysis: does the data always increase or always decrease? Is it non-linear? Are there gaps? Does it have multiple minimums or maximums? What is the index value before and after an inflection point? As a bonus, I could use a function that tells me the before and after indices where two series cross.
I have been trying to do this with for loops which got ugly and then with list comprehension which is brand new to me and I am struggling with that as well.
I found this list:
https://github.com/MaxBenChrist/awesome_time_series_in_python
But I do not know enough to choose one with any confidence.
submitted by /u/spacester
[link] [comments]