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DOC: remove okwarning from scale guide #50004

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Merged
merged 4 commits into from
Dec 3, 2022
Merged

DOC: remove okwarning from scale guide #50004

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f21dc32
feat: adding to the function docs that transform function parameter c…
seanjedi Dec 1, 2022
416ba93
Merge branch 'pandas-dev:main' into seanjedi-29960-docs-remove-okwarn…
seanjedi Dec 2, 2022
7401c9a
fix: removing okwarning from docs
seanjedi Dec 2, 2022
a08561b
fix: reverting a change meant for another PR
seanjedi Dec 2, 2022
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5 changes: 0 additions & 5 deletions doc/source/user_guide/scale.rst
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Expand Up @@ -257,7 +257,6 @@ We'll import ``dask.dataframe`` and notice that the API feels similar to pandas.
We can use Dask's ``read_parquet`` function, but provide a globstring of files to read in.

.. ipython:: python
:okwarning:

import dask.dataframe as dd

Expand Down Expand Up @@ -287,7 +286,6 @@ column names and dtypes. That's because Dask hasn't actually read the data yet.
Rather than executing immediately, doing operations build up a **task graph**.

.. ipython:: python
:okwarning:

ddf
ddf["name"]
Expand Down Expand Up @@ -346,7 +344,6 @@ known automatically. In this case, since we created the parquet files manually,
we need to supply the divisions manually.

.. ipython:: python
:okwarning:

N = 12
starts = [f"20{i:>02d}-01-01" for i in range(N)]
Expand All @@ -359,7 +356,6 @@ we need to supply the divisions manually.
Now we can do things like fast random access with ``.loc``.

.. ipython:: python
:okwarning:

ddf.loc["2002-01-01 12:01":"2002-01-01 12:05"].compute()

Expand All @@ -373,7 +369,6 @@ results will fit in memory, so we can safely call ``compute`` without running
out of memory. At that point it's just a regular pandas object.

.. ipython:: python
:okwarning:

@savefig dask_resample.png
ddf[["x", "y"]].resample("1D").mean().cumsum().compute().plot()
Expand Down