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# Description
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This PR adds a new command that outputs a NuDataFrame or NuLazyFrame in
its repr format, which can then be ingested in another polars instance.
Advantages of serializing a dataframe in this format are that it can be
viewed as a table, carries type information, and can easily be copied to
the clipboard.
```nushell
# In Nushell
> [[a b]; [2025-01-01 2] [2025-01-02 4]] | polars into-df | polars into-lazy | polars into-repr
shape: (2, 2)
┌─────────────────────┬─────┐
│ a ┆ b │
│ --- ┆ --- │
│ datetime[ns] ┆ i64 │
╞═════════════════════╪═════╡
│ 2025-01-01 00:00:00 ┆ 2 │
│ 2025-01-02 00:00:00 ┆ 4 │
└─────────────────────┴─────┘
```
```python
# In python
>>> import polars as pl
>>> df = pl.from_repr("""
... shape: (2, 2)
... ┌─────────────────────┬─────┐
... │ a ┆ b │
... │ --- ┆ --- │
... │ datetime[ns] ┆ i64 │
... ╞═════════════════════╪═════╡
... │ 2025-01-01 00:00:00 ┆ 2 │
... │ 2025-01-02 00:00:00 ┆ 4 │
... └─────────────────────┴─────┘""")
shape: (2, 2)
┌─────────────────────┬─────┐
│ a ┆ b │
│ --- ┆ --- │
│ datetime[ns] ┆ i64 │
╞═════════════════════╪═════╡
│ 2025-01-01 00:00:00 ┆ 2 │
│ 2025-01-02 00:00:00 ┆ 4 │
└─────────────────────┴─────┘
>>> df.select(pl.col("a").dt.offset_by("12m"))
shape: (2, 1)
┌─────────────────────┐
│ a │
│ --- │
│ datetime[ns] │
╞═════════════════════╡
│ 2025-01-01 00:12:00 │
│ 2025-01-02 00:12:00 │
└─────────────────────┘
```
# User-Facing Changes
<!-- List of all changes that impact the user experience here. This
helps us keep track of breaking changes. -->
A new command `polars into-repr` is added. No other commands are
impacted by the changes in this PR.
# Tests + Formatting
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Make sure you've run and fixed any issues with these commands:
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> **Note**
> from `nushell` you can also use the `toolkit` as follows
> ```bash
> use toolkit.nu # or use an `env_change` hook to activate it
automatically
> toolkit check pr
> ```
-->
Examples were added in the command definition.
# After Submitting
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# Description
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This PR adds type checking of all command input types at run-time.
Generally, these errors should be caught by the parser, but sometimes we
can't know the type of a value at parse-time. The simplest example is
using the `echo` command, which has an output type of `any`, so
prefixing a literal with `echo` will bypass parse-time type checking.
Before this PR, each command has to individually check its input types.
This can result in scenarios where the input/output types don't match
the actual command behavior. This can cause valid usage with an
non-`any` type to become a parse-time error if a command is missing that
type in its pipeline input/output (`drop nth` and `history import` do
this before this PR). Alternatively, a command may not list a type in
its input/output types, but doesn't actually reject that type in its
code, which can have unintended side effects (`get` does this on an
empty pipeline input, and `sort` used to before #13154).
After this PR, the type of the pipeline input is checked to ensure it
matches one of the input types listed in the proceeding command's
input/output types. While each of the issues in the "before this PR"
section could be addressed with each command individually, this PR
solves this issue for _all_ commands.
**This will likely cause some breakage**, as some commands have
incorrect input/output types, and should be adjusted. Also, some scripts
may have erroneous usage of commands. In writing this PR, I discovered
that `toolkit.nu` was passing `null` values to `str join`, which doesn't
accept nothing types (if folks think it should, we can adjust it in this
PR or in a different PR). I found some issues in the standard library
and its tests. I also found that carapace's vendor script had an
incorrect chaining of `get -i`:
```nushell
let expanded_alias = (scope aliases | where name == $spans.0 | get -i 0 | get -i expansion)
```
Before this PR, if the `get -i 0` ever actually did evaluate to `null`,
the second `get` invocation would error since `get` doesn't operate on
`null` values. After this PR, this is immediately a run-time error,
alerting the user to the problematic code. As a side note, we'll need to
PR this fix (`get -i 0 | get -i expansion` -> `get -i 0.expansion`) to
carapace.
A notable exception to the type checking is commands with input type of
`nothing -> <type>`. In this case, any input type is allowed. This
allows piping values into the command without an error being thrown. For
example, `123 | echo $in` would be an error without this exception.
Additionally, custom types bypass type checking (I believe this also
happens during parsing, but not certain)
I added a `is_subtype` method to `Value` and `PipelineData`. It
functions slightly differently than `get_type().is_subtype()`, as noted
in the doccomments. Notably, it respects structural typing of lists and
tables. For example, the type of a value `[{a: 123} {a: 456, b: 789}]`
is a subtype of `table<a: int>`, whereas the type returned by
`Value::get_type` is a `list<any>`. Similarly, `PipelineData` has some
special handling for `ListStream`s and `ByteStream`s. The latter was
needed for this PR to work properly with external commands.
Here's some examples.
Before:
```nu
1..2 | drop nth 1
Error: nu::parser::input_type_mismatch
× Command does not support range input.
╭─[entry #9:1:8]
1 │ 1..2 | drop nth 1
· ────┬───
· ╰── command doesn't support range input
╰────
echo 1..2 | drop nth 1
# => ╭───┬───╮
# => │ 0 │ 1 │
# => ╰───┴───╯
```
After this PR, I've adjusted `drop nth`'s input/output types to accept
range input.
Before this PR, zip accepted any value despite not being listed in its
input/output types. This caused different behavior depending on if you
triggered a parse error or not:
```nushell
1 | zip [2]
# => Error: nu::parser::input_type_mismatch
# =>
# => × Command does not support int input.
# => ╭─[entry #3:1:5]
# => 1 │ 1 | zip [2]
# => · ─┬─
# => · ╰── command doesn't support int input
# => ╰────
echo 1 | zip [2]
# => ╭───┬───────────╮
# => │ 0 │ ╭───┬───╮ │
# => │ │ │ 0 │ 1 │ │
# => │ │ │ 1 │ 2 │ │
# => │ │ ╰───┴───╯ │
# => ╰───┴───────────╯
```
After this PR, it works the same in both cases. For cases like this, if
we do decide we want `zip` or other commands to accept any input value,
then we should explicitly add that to the input types.
```nushell
1 | zip [2]
# => Error: nu::parser::input_type_mismatch
# =>
# => × Command does not support int input.
# => ╭─[entry #3:1:5]
# => 1 │ 1 | zip [2]
# => · ─┬─
# => · ╰── command doesn't support int input
# => ╰────
echo 1 | zip [2]
# => Error: nu:🐚:only_supports_this_input_type
# =>
# => × Input type not supported.
# => ╭─[entry #14:2:6]
# => 2 │ echo 1 | zip [2]
# => · ┬ ─┬─
# => · │ ╰── only list<any> and range input data is supported
# => · ╰── input type: int
# => ╰────
```
# User-Facing Changes
<!-- List of all changes that impact the user experience here. This
helps us keep track of breaking changes. -->
**Breaking change**: The type of a command's input is now checked
against the input/output types of that command at run-time. While these
errors should mostly be caught at parse-time, in cases where they can't
be detected at parse-time they will be caught at run-time instead. This
applies to both internal commands and custom commands.
Example function and corresponding parse-time error (same before and
after PR):
```nushell
def foo []: int -> nothing {
print $"my cool int is ($in)"
}
1 | foo
# => my cool int is 1
"evil string" | foo
# => Error: nu::parser::input_type_mismatch
# =>
# => × Command does not support string input.
# => ╭─[entry #16:1:17]
# => 1 │ "evil string" | foo
# => · ─┬─
# => · ╰── command doesn't support string input
# => ╰────
# =>
```
Before:
```nu
echo "evil string" | foo
# => my cool int is evil string
```
After:
```nu
echo "evil string" | foo
# => Error: nu:🐚:only_supports_this_input_type
# =>
# => × Input type not supported.
# => ╭─[entry #17:1:6]
# => 1 │ echo "evil string" | foo
# => · ──────┬────── ─┬─
# => · │ ╰── only int input data is supported
# => · ╰── input type: string
# => ╰────
```
Known affected internal commands which erroneously accepted any type:
* `str join`
* `zip`
* `reduce`
# Tests + Formatting
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- 🟢 `toolkit fmt`
- 🟢 `toolkit clippy`
- 🟢 `toolkit test`
- 🟢 `toolkit test stdlib`
# After Submitting
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* Play whack-a-mole with the commands and scripts this will inevitably
break
# Description
Fix the docs repo CI build error here:
https://github.com/nushell/nushell.github.io/actions/runs/12425087184/job/34691291790#step:5:18
The doc generated by `make_docs.nu` for `polars profile` command will
make the CI build fail due to the indention error of markdown front
matters. I used to fix it manually before, for the long run, it's better
to fix it from the source code.
- fixes#14572
# Description
This allowed columns to be coalesced on full joins with `polars join`,
providing functionality simlar to the old `--outer` join behavior.
# User-Facing Changes
- Provides a new flag `--coalesce-columns` on the `polars join` command
Addresses some null handling issues in #6882
# Description
This changes the implementation of guessing a column type when a schema
is not specified.
New behavior:
1. Use the first non-Value::Nothing value type for the columns data type
2. If the value type changes (ignoring Value::Nothing) in subsequent
values, the datatype will be changed to DataType::Object("Value", None)
3. If a column type does not have a value type,
DataType::Object("Value", None) will be assumed.
The `--name` flag of `polars with-column` only works when used with an
eager dataframe. I will not work with lazy dataframes and it will not
work when used with expressions (which forces a conversion to a
lazyframe). This pull request adds better documentation to the flags and
errors messages when used in cases where it will not work.
Bumps [indexmap](https://github.com/indexmap-rs/indexmap) from 2.6.0 to
2.7.0.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/indexmap-rs/indexmap/blob/master/RELEASES.md">indexmap's
changelog</a>.</em></p>
<blockquote>
<h2>2.7.0 (2024-11-30)</h2>
<ul>
<li>Added methods <code>Entry::insert_entry</code> and
<code>VacantEntry::insert_entry</code>, returning
an <code>OccupiedEntry</code> after insertion.</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="539b401151"><code>539b401</code></a>
Merge pull request <a
href="https://redirect.github.com/indexmap-rs/indexmap/issues/361">#361</a>
from cuviper/insert_entry</li>
<li><a
href="998edb12fe"><code>998edb1</code></a>
Release 2.7.0</li>
<li><a
href="2a0ca97417"><code>2a0ca97</code></a>
Add <code>{Entry,VacantEntry}::insert_entry</code></li>
<li><a
href="dceb0f0598"><code>dceb0f0</code></a>
Merge pull request <a
href="https://redirect.github.com/indexmap-rs/indexmap/issues/360">#360</a>
from cuviper/collect_vec_list</li>
<li><a
href="c095322249"><code>c095322</code></a>
ci: downgrade hashbrown for 1.63</li>
<li><a
href="7d8cef8b4b"><code>7d8cef8</code></a>
Use rayon-1.9.0's <code>collect_vec_list</code></li>
<li>See full diff in <a
href="https://github.com/indexmap-rs/indexmap/compare/2.6.0...2.7.0">compare
view</a></li>
</ul>
</details>
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Adds support for converting from polars decimal type to nushell values.
This fix works by first converting a polars decimal series to an f64
series, then converting to Value::Float
Co-authored-by: Jack Wright <jack.wright@nike.com>
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# Description
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Bump version to `0.100.0`
# User-Facing Changes
The new release `v0.100.0` is coming...
# Description
This PR fixes a problem where not equal in polars wasn't working with
strings.
## Before
```nushell
let a = ls | polars into-df
$a.type != "dir"
Error: nu:🐚:type_mismatch
× Type mismatch during operation.
╭─[entry #16:1:1]
1 │ $a.type != "dir"
· ─┬ ─┬ ──┬──
· │ │ ╰── string
· │ ╰── type mismatch for operator
· ╰── NuDataFrame
╰────
```
## After
```nushell
let a = ls | polars into-df
$a.type != "dir"
╭──#──┬─type──╮
│ 0 │ false │
│ 1 │ false │
│ 2 │ false │
...
```
/cc @ayax79 to make sure I did this right.
# User-Facing Changes
<!-- List of all changes that impact the user experience here. This
helps us keep track of breaking changes. -->
# Tests + Formatting
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# Description
Turns out there are duplicate conversion functions: `as_i64` and
`as_f64`. In most cases, these can be replaced with `as_int` and
`as_float`, respectively.
Bumps [uuid](https://github.com/uuid-rs/uuid) from 1.10.0 to 1.11.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/uuid-rs/uuid/releases">uuid's
releases</a>.</em></p>
<blockquote>
<h2>1.11.0</h2>
<h2>What's Changed</h2>
<ul>
<li>Upgrade zerocopy to 0.8 by <a
href="https://github.com/yotamofek"><code>@yotamofek</code></a> in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/771">uuid-rs/uuid#771</a></li>
<li>Prepare for 1.11.0 release by <a
href="https://github.com/KodrAus"><code>@KodrAus</code></a> in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/772">uuid-rs/uuid#772</a></li>
</ul>
<h2>New Contributors</h2>
<ul>
<li><a href="https://github.com/yotamofek"><code>@yotamofek</code></a>
made their first contribution in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/771">uuid-rs/uuid#771</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/uuid-rs/uuid/compare/1.10.0...1.11.0">https://github.com/uuid-rs/uuid/compare/1.10.0...1.11.0</a></p>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="4473398413"><code>4473398</code></a>
Merge pull request <a
href="https://redirect.github.com/uuid-rs/uuid/issues/772">#772</a> from
uuid-rs/cargo/1.11.0</li>
<li><a
href="59fbb1e695"><code>59fbb1e</code></a>
prepare for 1.11.0 release</li>
<li><a
href="d9b34e7c93"><code>d9b34e7</code></a>
Merge pull request <a
href="https://redirect.github.com/uuid-rs/uuid/issues/771">#771</a> from
yotamofek/zerocopy_0.8</li>
<li><a
href="14b24206c6"><code>14b2420</code></a>
Upgrade zerocopy to 0.8</li>
<li>See full diff in <a
href="https://github.com/uuid-rs/uuid/compare/1.10.0...1.11.0">compare
view</a></li>
</ul>
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Closes#13654
# User-Facing Changes
- Short flags are now fully type-checked,
including null and record signatures for literal arguments:
```nushell
def test [-v: record<l: int>] {};
test -v null # error
test -v {l: ""} # error
def test2 [-v: int] {};
let v = ""
test2 -v $v # error
```
- `polars unpivot` `--index`/`--on` and `into value --columns`
now accept `list` values
# Description
Provides the ability to decomes struct columns into seperate columns for
each field:
<img width="655" alt="Screenshot 2024-10-16 at 09 57 22"
src="https://github.com/user-attachments/assets/6706bd36-8d38-4365-b58d-ba82f2d5ba9a">
# User-Facing Changes
- provides a new command `polars unnest` for decomposing struct fields
into separate columns.
Closes#13654
# User-Facing Changes
- Short flags are now fully type-checked,
including null and record signatures for literal arguments:
```nushell
def test [-v: record<l: int>] {};
test -v null # error
test -v {l: ""} # error
def test2 [-v: int] {};
let v = ""
test2 -v $v # error
```
- `polars unpivot` `--index`/`--on` and `into value --columns`
now accept `list` values
# Description
Provides the ability to decomes struct columns into seperate columns for
each field:
<img width="655" alt="Screenshot 2024-10-16 at 09 57 22"
src="https://github.com/user-attachments/assets/6706bd36-8d38-4365-b58d-ba82f2d5ba9a">
# User-Facing Changes
- provides a new command `polars unnest` for decomposing struct fields
into separate columns.
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# Description
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# User-Facing Changes
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# Tests + Formatting
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# Description
This changes the names returned by CustomValue::name() of the various
custom value structs to just say the name of the thing they represent.
For instance "DataFrameCustomValue" is not just "DataFrame".
# User-Facing Changes
- Places such as or errors where NuDataFrameCustomValue would be seen,
now just shows as NuDataFrame.
Bumps [indexmap](https://github.com/indexmap-rs/indexmap) from 2.5.0 to
2.6.0.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/indexmap-rs/indexmap/blob/master/RELEASES.md">indexmap's
changelog</a>.</em></p>
<blockquote>
<h2>2.6.0 (2024-10-01)</h2>
<ul>
<li>Implemented <code>Clone</code> for <code>map::IntoIter</code> and
<code>set::IntoIter</code>.</li>
<li>Updated the <code>hashbrown</code> dependency to version 0.15.</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="bf0362ba25"><code>bf0362b</code></a>
Merge pull request <a
href="https://redirect.github.com/indexmap-rs/indexmap/issues/354">#354</a>
from cuviper/release-2.6.0</li>
<li><a
href="bd0b4f7c8c"><code>bd0b4f7</code></a>
Add all release dates</li>
<li><a
href="53400496f4"><code>5340049</code></a>
Release 2.6.0</li>
<li><a
href="7f8022912a"><code>7f80229</code></a>
Merge pull request <a
href="https://redirect.github.com/indexmap-rs/indexmap/issues/343">#343</a>
from cuviper/hash_table</li>
<li><a
href="e577bf2556"><code>e577bf2</code></a>
Use <code>hashbrown::HashTable</code> instead of
<code>RawTable</code></li>
<li><a
href="09b48ec3b3"><code>09b48ec</code></a>
Merge pull request <a
href="https://redirect.github.com/indexmap-rs/indexmap/issues/353">#353</a>
from cuviper/move_index</li>
<li><a
href="267b83d701"><code>267b83d</code></a>
Add an explicit bounds check in <code>move_index</code></li>
<li><a
href="d74a4daffb"><code>d74a4da</code></a>
Merge pull request <a
href="https://redirect.github.com/indexmap-rs/indexmap/issues/349">#349</a>
from waywardmonkeys/improve-doc-formatting</li>
<li><a
href="5b0ed20b87"><code>5b0ed20</code></a>
docs: Improve doc formatting with backticks</li>
<li><a
href="15518f3152"><code>15518f3</code></a>
Merge pull request <a
href="https://redirect.github.com/indexmap-rs/indexmap/issues/348">#348</a>
from cuviper/clone-intoiter</li>
<li>Additional commits viewable in <a
href="https://github.com/indexmap-rs/indexmap/compare/2.5.0...2.6.0">compare
view</a></li>
</ul>
</details>
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# Description
This fixes an issue with converting to a dataframe when specifying a
struct in the schema. Things like the following now work correctly:
```nushell
[[foo bar]; [{a: "a_0", b:"b_0"} 1] [{a: "a_1", b: "b_1" } 2]] | polars into-df -s {foo: {a: str, b: str}, bar: u8}
```
# Description
Introduces a new flag `--truncate-ragged-lines` for `polars open` that
will truncate lines that are longer than the schema.
# User-Facing Changes
- Introduction of the flag `--truncate-ragged-lines` for `polars open`
# Description
This request exposes the prelude::polars::len expression. It is ended
for doing fast select count(*) like operations:
<img width="626" alt="Screenshot 2024-09-26 at 18 14 45"
src="https://github.com/user-attachments/assets/74285fc6-f99c-46e0-9226-9a7d41738d78">
# User-Facing Changes
- Introduction of the `polars len` command
# Description
This adds support for reading and writing binary types in the polars
commands.
The `BinaryOffset` type can be read into a Nushell native `Value` type
no problem, but unfortunately this is a lossy conversion, as there's
no Nushell-native semantic equivalent to the fixed size binary type
in Arrow.
# User-Facing Changes
`polars open` and `polars save` now work with binary types.
# Description
Fixes: #12726 and #13185
Previously converting columns that contained null caused polars to force
a dtype of object even when using a schema.
Now:
1. When using a schema, the type the schema defines for the column will
always be used.
2. When a schema is not used, the previous type is used when a value is
null.
# User-Facing Changes
- The type defined by the schema we be respected when passing in a null
value `[a]; [null] | polars into-df -s {a: str}` will create a df with
an str dtype column with one null value versus a column of type object.
- *BREAKING CHANGE* If you define a schema, all columns must be in the
schema.
# Description
This resurrects the work from #12866 and fixes#12732.
Polars panics for a plethora or reasons. While handling panics is
generally frowned upon, in cases like with `polars collect` a panic
cause a lot of work to be lost. Often you might have multiple dataframes
in memory and you are trying one operation and lose all state.
While it possible the panic can leave things a strange state, it is
pretty unlikely as part of a polars pipeline. Most of the time polars
objects are not manipulating dataframes in memory mutability, but rather
creating a new dataframe the operations being applied. This is always
the case with a lazy pipeline. After the collect call, the original
dataframes are intact still and I haven't observed any side effects.
# Description
In order to be more consistent with it's nu counterpart, `polars save`
now returns an empty pipeline instead of a message of the saved file.
# User-Facing Changes
- `polars save` no longer displays a save message, making it consistent
with `save` behavior.
# Description
This PR:
- Removes the lazy_command, expr_command macros and migrates the
commands that were utilizing them.
- Removes the custom logic in DataFrameValues::is_equals to use the
polars DataFrame version of PartialEq
- Adds examples to commands that previously did not have examples or had
inadequate ones.
NOTE: A lot of examples now have a `polars sort` at the end. This is
needed due to the comparison in the result. The new polars version of
equals cares about the ordering. I removed the custom equals logic as it
causes comparisons to lock up when comparing dataframes that contain a
row that contains a list. I discovered this issue when adding examples
to `polars implode`
# Description
Previously there were no examples or explanations that you can use '*'
to select all columns. Updated description and added a new example.
# Description
In order to be more consistent with the nushell terminology and with
polars expression terminology `polars concatenate` is now `polars
str-join`. `polars str-join` can also be used as expression.
<img width="857" alt="Screenshot 2024-09-04 at 12 41 25"
src="https://github.com/user-attachments/assets/8cc5a0c2-194c-49ec-9fe1-65ec4825414d">
# User-Facing Changes
- `polars concatenate` is now `polars str-join`
- `polars str-join` can be used as an expression
# Description
Allows `polars str-lengths` to be used as an expression:
<img width="826" alt="Screenshot 2024-09-04 at 13 57 45"
src="https://github.com/user-attachments/assets/b74139e0-e8ba-4910-84c2-cf4be4a084b6">
# User-Facing Changes
- `polars str-lengths` can be used as an expression.
- char length is now the default. Use the --bytes flag to get bytes
length.
Bumps [indexmap](https://github.com/indexmap-rs/indexmap) from 2.4.0 to
2.5.0.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/indexmap-rs/indexmap/blob/master/RELEASES.md">indexmap's
changelog</a>.</em></p>
<blockquote>
<h2>2.5.0</h2>
<ul>
<li>Added an <code>insert_before</code> method to <code>IndexMap</code>
and <code>IndexSet</code>, as an
alternative to <code>shift_insert</code> with different behavior on
existing entries.</li>
<li>Added <code>first_entry</code> and <code>last_entry</code> methods
to <code>IndexMap</code>.</li>
<li>Added <code>From</code> implementations between
<code>IndexedEntry</code> and <code>OccupiedEntry</code>.</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="48ed49017c"><code>48ed490</code></a>
Release 2.5.0</li>
<li><a
href="139d7addfb"><code>139d7ad</code></a>
Merge pull request <a
href="https://redirect.github.com/indexmap-rs/indexmap/issues/340">#340</a>
from cuviper/insert-bounds</li>
<li><a
href="1d9b5e3d03"><code>1d9b5e3</code></a>
Add doc examples for <code>insert_before</code> and
<code>shift_insert</code></li>
<li><a
href="8ca01b0df7"><code>8ca01b0</code></a>
Use <code>insert_before</code> for "new" entries in
<code>insert_sorted</code></li>
<li><a
href="7224def010"><code>7224def</code></a>
Add <code>insert_before</code> as an alternate to
<code>shift_insert</code></li>
<li><a
href="0247a1555d"><code>0247a15</code></a>
Document and assert index bounds in <code>shift_insert</code></li>
<li><a
href="922c6ad1af"><code>922c6ad</code></a>
Update the CI badge</li>
<li><a
href="e482e1768a"><code>e482e17</code></a>
Merge pull request <a
href="https://redirect.github.com/indexmap-rs/indexmap/issues/342">#342</a>
from cuviper/btree-like</li>
<li><a
href="b63e4a1556"><code>b63e4a1</code></a>
Merge pull request <a
href="https://redirect.github.com/indexmap-rs/indexmap/issues/341">#341</a>
from cuviper/from-entry</li>
<li><a
href="264e5b7304"><code>264e5b7</code></a>
Add doc aliases like <code>BTreeMap</code>/<code>BTreeSet</code></li>
<li>Additional commits viewable in <a
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# Description
Adds the ability for `polars replace` and `polars replace-all` to work
as expressions.
# User-Facing Changes
- `polars replace` can be used with polars expressions
- `polars replace-all` can be used with polars expressions
# Description
The meaning of the word usage is specific to describing how a command
function is *used* and not a synonym for general description. Usage can
be used to describe the SYNOPSIS or EXAMPLES sections of a man page
where the permitted argument combinations are shown or example *uses*
are given.
Let's not confuse people and call it what it is a description.
Our `help` command already creates its own *Usage* section based on the
available arguments and doesn't refer to the description with usage.
# User-Facing Changes
`help commands` and `scope commands` will now use `description` or
`extra_description`
`usage`-> `description`
`extra_usage` -> `extra_description`
Breaking change in the plugin protocol:
In the signature record communicated with the engine.
`usage`-> `description`
`extra_usage` -> `extra_description`
The same rename also takes place for the methods on
`SimplePluginCommand` and `PluginCommand`
# Tests + Formatting
- Updated plugin protocol specific changes
# After Submitting
- [ ] update plugin protocol doc
# Description
Fixes issue [12828](https://github.com/nushell/nushell/issues/12828).
When attempting a `polars collect` on an eager dataframe, we return
dataframe as is. However, before this fix I failed to increment the
internal cache reference count. This caused the value to be dropped from
the internal cache when the references were decremented again.
This fix adds a call to cache.get to increment the value before
returning.
Bumps [indexmap](https://github.com/indexmap-rs/indexmap) from 2.3.0 to
2.4.0.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/indexmap-rs/indexmap/blob/master/RELEASES.md">indexmap's
changelog</a>.</em></p>
<blockquote>
<h2>2.4.0</h2>
<ul>
<li>Added methods <code>IndexMap::append</code> and
<code>IndexSet::append</code>, moving all items from
one map or set into another, and leaving the original capacity for
reuse.</li>
</ul>
</blockquote>
</details>
<details>
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<ul>
<li><a
href="b66bbfe282"><code>b66bbfe</code></a>
Merge pull request <a
href="https://redirect.github.com/indexmap-rs/indexmap/issues/337">#337</a>
from cuviper/append</li>
<li><a
href="a288bf3b3a"><code>a288bf3</code></a>
Add a README note for <code>ordermap</code></li>
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href="0b2b4b9a78"><code>0b2b4b9</code></a>
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<li><a
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Add <code>append</code> methods</li>
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# Description
This pull request merges `polars sink` and `polars to-*` into one
command `polars save`.
# User-Facing Changes
- `polars to-*` commands have all been replaced with `polars save`. When
saving a lazy frame to a type that supports a polars sink operation, a
sink operation will be performed. Sink operations are much more
performant, performing a collect while streaming to the file system.
# Description
This exposes the `LazyFrame::sink_*` functionality to allow a streaming
collect directly to the filesystem. This useful when working with data
that is too large to fit into memory.
# User-Facing Changes
- Introduction of the `polars sink` command
# Description
Prior this pull request `polars first` and `polars last` would collect a
lazy frame into an eager frame before performing operations. Now `polars
first` will to a `LazyFrame::limit` and `polars last` will perform a
`LazyFrame::tail`. This is really useful in working with very large
datasets.
# Description
When opening a dataframe the default operation will be to create a lazy
frame if possible. This works much better with large datasets and
supports hive format.
# User-Facing Changes
- `--lazy` is nolonger a valid option. `--eager` must be used to
explicitly open an eager dataframe.
Bumps [indexmap](https://github.com/indexmap-rs/indexmap) from 2.2.6 to
2.3.0.
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/indexmap-rs/indexmap/blob/master/RELEASES.md">indexmap's
changelog</a>.</em></p>
<blockquote>
<h2>2.3.0</h2>
<ul>
<li>Added trait <code>MutableEntryKey</code> for opt-in mutable access
to map entry keys.</li>
<li>Added method <code>MutableKeys::iter_mut2</code> for opt-in mutable
iteration of map
keys and values.</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="22c0b4e0f3"><code>22c0b4e</code></a>
Merge pull request <a
href="https://redirect.github.com/indexmap-rs/indexmap/issues/335">#335</a>
from epage/mut</li>
<li><a
href="39f7cc097a"><code>39f7cc0</code></a>
Release 2.3.0</li>
<li><a
href="6049d518a0"><code>6049d51</code></a>
feat(map): Add MutableKeys::iter_mut2</li>
<li><a
href="65c3c46e37"><code>65c3c46</code></a>
feat(map): Add MutableEntryKey</li>
<li><a
href="7f7d39f734"><code>7f7d39f</code></a>
Merge pull request <a
href="https://redirect.github.com/indexmap-rs/indexmap/issues/332">#332</a>
from waywardmonkeys/missing-indentation-in-doc-comment</li>
<li><a
href="8222a59a85"><code>8222a59</code></a>
Fix missing indentation in doc comment.</li>
<li><a
href="1a71dde63d"><code>1a71dde</code></a>
Merge pull request <a
href="https://redirect.github.com/indexmap-rs/indexmap/issues/327">#327</a>
from waywardmonkeys/dep-update-dev-dep-itertools</li>
<li><a
href="ac2a8a5a40"><code>ac2a8a5</code></a>
deps(dev): Update <code>itertools</code></li>
<li>See full diff in <a
href="https://github.com/indexmap-rs/indexmap/compare/2.2.6...2.3.0">compare
view</a></li>
</ul>
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Per discussion on
[Discord](https://discord.com/channels/601130461678272522/864228801851949077/1265718178927870045)
# Description
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To facilitate column-oriented dataframe construction, this PR added a
`--as-columns` flag to `polars into-df` command so that when specified,
and when input shape is record of lists, each list will be treated as a
column rather than a cell value, i.e. `{a: [1 3], b: [2 4]} | polars
into-df --as-columns` returns the same dataframe as `[[a b];[1 2] [3 4]]
| polars into-df`
# User-Facing Changes
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A new flag `--as-columns`, no change of semantics if this flag is
unspecified.
# Tests + Formatting
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---------
Co-authored-by: Ben Yang <ben@ya.ng>
Bumps [uuid](https://github.com/uuid-rs/uuid) from 1.9.1 to 1.10.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/uuid-rs/uuid/releases">uuid's
releases</a>.</em></p>
<blockquote>
<h2>1.10.0</h2>
<h2>Deprecations</h2>
<p>This release deprecates and renames the following functions:</p>
<ul>
<li><code>Builder::from_rfc4122_timestamp</code> ->
<code>Builder::from_gregorian_timestamp</code></li>
<li><code>Builder::from_sorted_rfc4122_timestamp</code> ->
<code>Builder::from_sorted_gregorian_timestamp</code></li>
<li><code>Timestamp::from_rfc4122</code> ->
<code>Timestamp::from_gregorian</code></li>
<li><code>Timestamp::to_rfc4122</code> ->
<code>Timestamp::to_gregorian</code></li>
</ul>
<h2>What's Changed</h2>
<ul>
<li>Use const identifier in uuid macro by <a
href="https://github.com/Vrajs16"><code>@Vrajs16</code></a> in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/764">uuid-rs/uuid#764</a></li>
<li>Rename most methods referring to RFC4122 by <a
href="https://github.com/Mikopet"><code>@Mikopet</code></a> / <a
href="https://github.com/KodrAus"><code>@KodrAus</code></a> in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/765">uuid-rs/uuid#765</a></li>
<li>prepare for 1.10.0 release by <a
href="https://github.com/KodrAus"><code>@KodrAus</code></a> in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/766">uuid-rs/uuid#766</a></li>
</ul>
<h2>New Contributors</h2>
<ul>
<li><a href="https://github.com/Vrajs16"><code>@Vrajs16</code></a> made
their first contribution in <a
href="https://redirect.github.com/uuid-rs/uuid/pull/764">uuid-rs/uuid#764</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/uuid-rs/uuid/compare/1.9.1...1.10.0">https://github.com/uuid-rs/uuid/compare/1.9.1...1.10.0</a></p>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="4b4c590ae3"><code>4b4c590</code></a>
Merge pull request <a
href="https://redirect.github.com/uuid-rs/uuid/issues/766">#766</a> from
uuid-rs/cargo/1.10.0</li>
<li><a
href="68eff32640"><code>68eff32</code></a>
Merge pull request <a
href="https://redirect.github.com/uuid-rs/uuid/issues/765">#765</a> from
uuid-rs/chore/time-fn-deprecations</li>
<li><a
href="3d5384da4b"><code>3d5384d</code></a>
update docs and deprecation messages for timestamp fns</li>
<li><a
href="de50f2091f"><code>de50f20</code></a>
renaming rfc4122 functions</li>
<li><a
href="4a8841792a"><code>4a88417</code></a>
prepare for 1.10.0 release</li>
<li><a
href="66b4fcef14"><code>66b4fce</code></a>
Merge pull request <a
href="https://redirect.github.com/uuid-rs/uuid/issues/764">#764</a> from
Vrajs16/main</li>
<li><a
href="8896e26c42"><code>8896e26</code></a>
Use expr instead of ident</li>
<li><a
href="09973d6aff"><code>09973d6</code></a>
Added changes</li>
<li><a
href="6edf3e8cd5"><code>6edf3e8</code></a>
Use const identifer in uuid macro</li>
<li>See full diff in <a
href="https://github.com/uuid-rs/uuid/compare/1.9.1...1.10.0">compare
view</a></li>
</ul>
</details>
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# Description
Makes `polars unpivot` use the same arguments as `polars pivot` and
makes it consistent with the polars' rust api. Additionally, support for
the polar's streaming engine has been exposed on eager dataframes.
Previously, it would only work with lazy dataframes.
# User-Facing Changes
* `polars unpivot` argument `--columns`|`-c` has been renamed to
`--index`|`-i`
* `polars unpivot` argument `--values`|`-v` has been renamed to
`--on`|`-o`
* `polars unpivot` short argument for `--streamable` is now `-t` to make
it consistent with `polars pivot`. It was made `-t` for `polars pivot`
because `-s` is short for `--short`
There was a bug where anytime the plugin cache remove was called, the
plugin gc was turned back on. This probably happened when I added the
reference counter logic.
# Description
Upgrading to Polars 0.41
# User-Facing Changes
* `polars melt` has been renamed to `polars unpivot` to match the change
in the polars API. Additionally, it now supports lazy dataframes.
Introduced a `--streamable` option to use the polars streaming engine
for lazy frames.
* The parameter `outer` has been replaced with `full` in `polars join`
to match polars change.
* `polars value-count` now supports the column (rename count column),
parallelize (multithread), sort, and normalize options.
The list of polars changes can be found
[here](https://github.com/pola-rs/polars/releases/tag/rs-0.41.2)
In this pull request, I converted the `perf` function within `nu_utils`
to a macro. This change facilitates easier usage within plugins by
allowing the use of `env_logger` and setting `RUST_LOG=nu_plugin_polars`
(or another plugin). Without this conversion, the `RUST_LOG` variable
would need to be set to `RUST_LOG=nu_utils::utils`, which is less
intuitive and impossible to narrow the perf results to one plugin.
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# Description
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Addresses performance issues that @maxim-uvarov found with CSV and JSON
lines.
This ensures that the schema inference follows the polars defaults of
100 lines. Recent changes caused the default values to be override and
caused the entire file to be scanned when inferring the schema.
# Description
This allows plugins to report their version (and potentially other
metadata in the future). The version is shown in `plugin list` and in
`version`.
The metadata is stored in the registry file, and reflects whatever was
retrieved on `plugin add`, not necessarily the running binary. This can
help you to diagnose if there's some kind of mismatch with what you
expect. We could potentially use this functionality to show a warning or
error if a plugin being run does not have the same version as what was
in the cache file, suggesting `plugin add` be run again, but I haven't
done that at this point.
It is optional, and it requires the plugin author to make some code
changes if they want to provide it, since I can't automatically
determine the version of the calling crate or anything tricky like that
to do it.
Example:
```
> plugin list | select name version is_running pid
╭───┬────────────────┬─────────┬────────────┬─────╮
│ # │ name │ version │ is_running │ pid │
├───┼────────────────┼─────────┼────────────┼─────┤
│ 0 │ example │ 0.93.1 │ false │ │
│ 1 │ gstat │ 0.93.1 │ false │ │
│ 2 │ inc │ 0.93.1 │ false │ │
│ 3 │ python_example │ 0.1.0 │ false │ │
╰───┴────────────────┴─────────┴────────────┴─────╯
```
cc @maxim-uvarov (he asked for it)
# User-Facing Changes
- `plugin list` gets a `version` column
- `version` shows plugin versions when available
- plugin authors *should* add `fn metadata()` to their `impl Plugin`,
but don't have to
# Tests + Formatting
Tested the low level stuff and also the `plugin list` column.
# After Submitting
- [ ] update plugin guide docs
- [ ] update plugin protocol docs (`Metadata` call & response)
- [ ] update plugin template (`fn metadata()` should be easy)
- [ ] release notes
This allows performance debugging to be turned on by setting:
```nushell
$env.POLARS_PLUGIN_PERF = "true"
```
Furthermore, this improves the other plugin debugging by allowing the
env variable for debugging to be set at any time versus having to be
available when nushell is launched:
```nushell
$env.POLARS_PLUGIN_DEBUG = "true"
```
This plugin introduces a `perf` function that will output timing
results. This works very similar to the perf function available in
nu_utils::utils::perf. This version prints everything to std error to
not break the plugin stream and uses the engine interface to see if the
env variable is configured.
This pull requests uses this `perf` function when:
* opening csv files as dataframes
* opening json lines files as dataframes
This will hopefully help provide some more fine grained information on
how long it takes polars to open different dataframes. The `perf` can
also be utilized later for other dataframes use cases.
Per discussion on discord dataframes channel with @maxim-uvarov and pyz.
When converting a dataframe to an nushell value via `polars into-nu`,
the index column should not be added by default and should only be added
when specifying `--index`
As reported by @maxim-uvarov and pyz in the dataframes discord channel:
```nushell
[[a b]; [1 1] [1 2] [2 1] [2 2] [3 1] [3 2]] | polars into-df | polars with-column ((polars col a) / (polars col b)) --name c
× Type mismatch.
╭─[entry #45:1:102]
1 │ [[a b]; [1 1] [1 2] [2 1] [2 2] [3 1] [3 2]] | polars into-df | polars with-column ((polars col a) / (polars col b)) --name c
· ───────┬──────
· ╰── Right hand side not a dataframe expression
╰────
```
This pull request corrects the type casting on the right hand side and
allows more than just polars literal expressions.
# Description
@maxim-uvarov did a ton of research and work with the dply-rs author and
ritchie from polars and found out that the allocator matters on macos
and it seems to be what was messing up the performance of polars plugin.
ritchie suggested to use jemalloc but i switched it to mimalloc to match
nushell and it seems to run better.
## Before (default allocator)
note - using 1..10 vs 1..100 since it takes so long. also notice how
high the `max` timings are compared to mimalloc below.
```nushell
❯ 1..10 | each {timeit {polars open Data7602DescendingYearOrder.csv | polars group-by year | polars agg (polars col geo_count | polars sum) | polars collect | null}} | | {mean: ($in | math avg), min: ($in | math min), max: ($in | math max), stddev: ($in | into int | into float | math stddev | into int | $'($in)ns' | into duration)}
╭────────┬─────────────────────────╮
│ mean │ 4sec 999ms 605µs 995ns │
│ min │ 983ms 627µs 42ns │
│ max │ 13sec 398ms 135µs 791ns │
│ stddev │ 3sec 476ms 479µs 939ns │
╰────────┴─────────────────────────╯
❯ use std bench
❯ bench { polars open Data7602DescendingYearOrder.csv | polars group-by year | polars agg (polars col geo_count | polars sum) | polars collect | null } -n 10
╭───────┬────────────────────────╮
│ mean │ 6sec 220ms 783µs 983ns │
│ min │ 1sec 184ms 997µs 708ns │
│ max │ 18sec 882ms 81µs 708ns │
│ std │ 5sec 350ms 375µs 697ns │
│ times │ [list 10 items] │
╰───────┴────────────────────────╯
```
## After (using mimalloc)
```nushell
❯ 1..100 | each {timeit {polars open Data7602DescendingYearOrder.csv | polars group-by year | polars agg (polars col geo_count | polars sum) | polars collect | null}} | | {mean: ($in | math avg), min: ($in | math min), max: ($in | math max), stddev: ($in | into int | into float | math stddev | into int | $'($in)ns' | into duration)}
╭────────┬───────────────────╮
│ mean │ 103ms 728µs 902ns │
│ min │ 97ms 107µs 42ns │
│ max │ 149ms 430µs 84ns │
│ stddev │ 5ms 690µs 664ns │
╰────────┴───────────────────╯
❯ use std bench
❯ bench { polars open Data7602DescendingYearOrder.csv | polars group-by year | polars agg (polars col geo_count | polars sum) | polars collect | null } -n 100
╭───────┬───────────────────╮
│ mean │ 103ms 620µs 195ns │
│ min │ 97ms 541µs 166ns │
│ max │ 130ms 262µs 166ns │
│ std │ 4ms 948µs 654ns │
│ times │ [list 100 items] │
╰───────┴───────────────────╯
```
## After (using jemalloc - just for comparison)
```nushell
❯ 1..100 | each {timeit {polars open Data7602DescendingYearOrder.csv | polars group-by year | polars agg (polars col geo_count | polars sum) | polars collect | null}} | | {mean: ($in | math avg), min: ($in | math min), max: ($in | math max), stddev: ($in | into int | into float | math stddev | into int | $'($in)ns' | into duration)}
╭────────┬───────────────────╮
│ mean │ 113ms 939µs 777ns │
│ min │ 108ms 337µs 333ns │
│ max │ 166ms 467µs 458ns │
│ stddev │ 6ms 175µs 618ns │
╰────────┴───────────────────╯
❯ use std bench
❯ bench { polars open Data7602DescendingYearOrder.csv | polars group-by year | polars agg (polars col geo_count | polars sum) | polars collect | null } -n 100
╭───────┬───────────────────╮
│ mean │ 114ms 363µs 530ns │
│ min │ 108ms 804µs 833ns │
│ max │ 143ms 521µs 459ns │
│ std │ 5ms 88µs 56ns │
│ times │ [list 100 items] │
╰───────┴───────────────────╯
```
## After (using parquet + mimalloc)
```nushell
❯ 1..100 | each {timeit {polars open data.parquet | polars group-by year | polars agg (polars col geo_count | polars sum) | polars collect | null}} | | {mean: ($in | math avg), min: ($in | math min), max: ($in | math max), stddev: ($in | into int | into float | math stddev | into int | $'($in)ns' | into duration)}
╭────────┬──────────────────╮
│ mean │ 34ms 255µs 492ns │
│ min │ 31ms 787µs 250ns │
│ max │ 76ms 408µs 416ns │
│ stddev │ 4ms 472µs 916ns │
╰────────┴──────────────────╯
❯ use std bench
❯ bench { polars open data.parquet | polars group-by year | polars agg (polars col geo_count | polars sum) | polars collect | null } -n 100
╭───────┬──────────────────╮
│ mean │ 34ms 897µs 562ns │
│ min │ 31ms 518µs 542ns │
│ max │ 65ms 943µs 625ns │
│ std │ 3ms 450µs 741ns │
│ times │ [list 100 items] │
╰───────┴──────────────────╯
```
# User-Facing Changes
<!-- List of all changes that impact the user experience here. This
helps us keep track of breaking changes. -->
# Tests + Formatting
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Make sure you've run and fixed any issues with these commands:
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> use toolkit.nu # or use an `env_change` hook to activate it
automatically
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> ```
-->
# After Submitting
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This reverts commit 68adc4657f.
# Description
Reverts the lazyframe refactor (#12669) for the next release, since
there are still a few lingering issues. This temporarily solves #12863
and #12828. After the release, the lazyframes can be added back and
cleaned up.
# Description
Removes the old `nu-cmd-dataframe` crate in favor of the polars plugin.
As such, this PR also removes the `dataframe` feature, related CI, and
full releases of nushell.
# Description
This PR adds a few functions to `Span` for merging spans together:
- `Span::append`: merges two spans that are known to be in order.
- `Span::concat`: returns a span that encompasses all the spans in a
slice. The spans must be in order.
- `Span::merge`: merges two spans (no order necessary).
- `Span::merge_many`: merges an iterator of spans into a single span (no
order necessary).
These are meant to replace the free-standing `nu_protocol::span`
function.
The spans in a `LiteCommand` (the `parts`) should always be in order
based on the lite parser and lexer. So, the parser code sees the most
usage of `Span::append` and `Span::concat` where the order is known. In
other code areas, `Span::merge` and `Span::merge_many` are used since
the order between spans is often not known.
