time-series

Problem

My notification services is not available

Description

ntfy (pronounce: notify) is a simple HTTP-based pub-sub notification service. It allows you to send notifications to your phone or desktop via scripts from any computer, entirely without signup, cost or setup. It's also [open source](https://github.com/b

Bug Description
fix issues found by Coverity Scan in TDengine/src/query/src/qFilter.c

To Reproduce
N/A

Expected Behavior
fix following issues:

Relevant telegraf.conf:

[[inputs.openweathermap]]
  app_id = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
  

Describe the bug

In the documentation, it is written that we can get the day of year using the to_str(time, 'D') approach. However, using the latest docker images, this will return the string 'D' as a result. See https://questdb.io/docs/reference/function/date-time/#date-and-timestamp-format

I assume this may be tracked down somewhere around here, where the capital D is never being regist

it's becoming more time-consuming and error-prone to manually re-test all the demos following internal refactorings and API adjustments.

now that the API is fleshed out a bit, it's possible to test a large amount of code (non-granularly) without having to simulate all interactions via Puppeteer or similar.

a lot of code can already be regression-tested by simply running all the demos and val

Is your feature request related to a problem? Please describe.
In time series plotting module, lot of plots are customized at the end - template, fig size, etc. Since the same code is repeated in all these plots, maybe this could be modularized and reused.

with fig.batch_update():
    template = _resolve_dict_keys(
        dict_=fig_kwargs, key="template", defaults=fig_default

Update: content has been added, but the lists are formatted badly due to typos in the code. Would be appreciated if someone could fix this!

From #3086, by @jelc53, in reference to alan-turing-institute/sktime#3089 and the current developer doc on local linting and precommit setup:

Great to hear! Appreciate you helping me through it. Re feedback on https://git

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This should be quite trivial

Use case:

Get the total duration over many events. Something like select sum(age(ended, started)) from myevents or select sum(ended - started) from myevents - depending on crate/crate#12479

See https://github.com/crate/crate/blob/dc3ce297b1597d482949a2e57479890feb3adbf4/server/src/main/java/io/crate/execution/engine/aggregation/impl/SumAggregation.java#L67

Description

I created a simple random dataset, added a single NAN value in the first instance at the start of the last window before forecast, and compared evaluation metrics of 3 trivial estimators: Mean, Constant and Identity (code below). The ConstantEstimator is not affected at all - all metrics are normal. IdentifyPredictor ends up with NA for the metrics on the first instance and norma

How to get result? y cloumn and yhat are NAN

On MacOS, the tslearn.datasets does not work out-of-the-box.

In order to make it work, you need to apply the following steps:

1. Go to your finder
2. run "/Apps/Python/Install Certificates.command". This basically installs the certifi package with pip.

Perhaps we should add this to the documentation page of our datasets module?