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**Describe the bug**
This occurred when attempting to cluster several unequal length series. Attempting to cluster them using `TimeSeriesKMeans` results in the error `The data has unequal length seri…
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Is it possible to extend TimeSeries functionality for multi-rate time series and time series with no time array?
I do not need to store array of time values, if I have start timestamp and fixed sam…
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The NETCDF irregular grid format shows promise in being able to pre-package large groups of time series relative to specific hydrologic features. As a pilot stury, create some NETCDF files for specifi…
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### Description
I work with time series data in Pandas, would love to move to Polars but need a way to replicate my use of `pd.RangeIndex`. I know that Polars doesn't have indices and support that …
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Is this package still in development? Will the trend seasonality estimation be available soon? I've read your paper on the trend and seasonality estimation methodologies for irregular time series an…
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Hi,
I am currently using statsmodels to make state-space models using statsmodels.tsa.statespace.structural.UnobservedComponents and fit these models to my data using maximum likelihood estimation.…
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### Your idea
Tables of time series data, e.g. physio and motion, currently require SamplingFrequency, which assumes regularly sampled data. For irregularly sampled data, it would be helpful to have …
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Submitted by: Edzer Pebesma
Assigned to: Nobody
[R-Forge link](http://r-forge.r-project.org/tracker/index.php?func=detail&aid=1411&group_id=118&atid=516)
the following examples should have the same e…
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Online reference and Resources
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Support for gaussian process may be a great addition to this library
e.g. normalizing sparse/irregular time series, uncertainty estimation, etc..
Regression/classification can probably be easily …