data-analysis

I just discover that we have a helper function to validate scalar:
https://scikit-learn.org/stable/modules/generated/sklearn.utils.check_scalar.html

Since this helper could help to get consistent error types and messages, I was wondering if we could make a long-running issue to introduce this helper everywhere possible.

I think this could be a good issue for first contributors and short spr

Screenshot

Description

chart 3 dot menu is behind the chart title panel in chart maximize mode

In [4]: df = pd.DataFrame({'a': [1, 2, 3]})

In [5]: df.take(1)
...

~/scipy/pandas/pandas/core/indexes/range.py in take(self, indices, axis, allow_fill, fill_value, **kwargs)
    433     ) -> Int64Index:
    434         with rewrite_exception("Int64Index", type(self).__name__):
--> 435             return self._int64index.take(
    436                 indices,
    437               

We currently print a warning as shown below when a user sets both a widget default value in the function defining the widget as well as a widget value via the widget's key in st.session_state

While we certainly want to do this by default since doing both is not recommended, we should provide a

Is your feature request related to a problem? Please describe.
When working with a big piece of text, I sometimes scroll down and copy some text into another tab. When switching back to the first tab, both the input and the output pane is back on top. So I don't know where I was working just now.

Describe the solution you'd like
After tab switching, scroll position should be remembere

I would like to import a .zst or .zstd file but currently that file type is not recognized to be imported by OpenRefine.

Proposed solution

Perhaps using Apache Commons Compress (we already have usage in ImportingUtilities.java)
https://commons.apache.org/proper/commons-compress/examples.html#Zstandard

Allow importing the .zstor .zstd file from my local computer, as well as fr

Collection of follow-ups to #5827. These can/should be broken out into individual PRs. Many are relatively straightforward and would make a good first PR.

General

• Documentation (none was added in original PR).
• Release notes.
• Example notebook.
• Double-check how sm.tsa.arima.ARIMA works with fix_params (it should fail except when the fit method is statespace

See:
gonum/gonum#845 (comment)

The official instructions say to use joblib for pickling PyOD models.

This fails for AutoEncoders, or any other TensorFlow-backed model as far as I can tell. The error is:

>>> dump(model, 'model.joblib')
...
TypeError: can't pickle _thread.RLock objects

Note that it's not sufficient to save the underlying Keras S

Tell us about the problem you're trying to solve

As follow up to airbytehq/airbyte#4721, do proper yaml parsing/extract to be used in https://github.com/airbytehq/airbyte/blob/7decb12818ad2cc0c7b3039c3d5e620236250edd/airbyte-workers/src/main/resources/dbt_transformation_entrypoint.sh#L7

Describe the solution you’d like

we should write (a python?) script that uses