8 Commits

Author SHA1 Message Date
Jack Wright
3fd1a26ec0
Updating polars and sqlparser versions (#10114)
Polars and SQLParser upgrade.

I have exposed features that have been added to polars as command args
where appropriate.

---------

Co-authored-by: Jack Wright <jack.wright@disqo.com>
Co-authored-by: Darren Schroeder <343840+fdncred@users.noreply.github.com>
Co-authored-by: sholderbach <sholderbach@users.noreply.github.com>
2023-08-30 00:13:34 +02:00
Ian Manske
8da27a1a09
Create Record type (#10103)
# Description
This PR creates a new `Record` type to reduce duplicate code and
possibly bugs as well. (This is an edited version of #9648.)
- `Record` implements `FromIterator` and `IntoIterator` and so can be
iterated over or collected into. For example, this helps with
conversions to and from (hash)maps. (Also, no more
`cols.iter().zip(vals)`!)
- `Record` has a `push(col, val)` function to help insure that the
number of columns is equal to the number of values. I caught a few
potential bugs thanks to this (e.g. in the `ls` command).
- Finally, this PR also adds a `record!` macro that helps simplify
record creation. It is used like so:
   ```rust
   record! {
       "key1" => some_value,
       "key2" => Value::string("text", span),
       "key3" => Value::int(optional_int.unwrap_or(0), span),
       "key4" => Value::bool(config.setting, span),
   }
   ```
Since macros hinder formatting, etc., the right hand side values should
be relatively short and sweet like the examples above.

Where possible, prefer `record!` or `.collect()` on an iterator instead
of multiple `Record::push`s, since the first two automatically set the
record capacity and do less work overall.

# User-Facing Changes
Besides the changes in `nu-protocol` the only other breaking changes are
to `nu-table::{ExpandedTable::build_map, JustTable::kv_table}`.
2023-08-25 07:50:29 +12:00
Jack Wright
8b160f9850
Nushell table list columns -> dataframe list columns. Explode / Flatten dataframe support. (#9951)
# Description
- Adds support for conversion between nushell lists and polars lists
instead of treating them as a polars object.
- Fixed explode and flatten to work both as expressions or lazy
dataframe commands. The previous item was required to make this work.

---------

Co-authored-by: Jack Wright <jack.wright@disqo.com>
Co-authored-by: Darren Schroeder <343840+fdncred@users.noreply.github.com>
2023-08-15 06:54:37 -05:00
Jack Wright
87abfee268
Merged overloaded commands (#9860)
- fixes #9807

# Description

This pull request merges all overloaded dfr commands into one command:

eager:
dfr first -> eager/first.rs
dfr last -> eager/last.rs
dfr into-nu -> eager/to_nu.rs (merged)

lazy:
dfr min -> expressions/expressions_macro.rs lazy_expressions_macro
dfr max -> expressions/expressions_macro.rs lazy_expressions_macro
dfr sum -> expressions/expressions_macro.rs lazy_expressions_macro
dfr mean -> expressions/expressions_macro.rs lazy_expressions_macro
dfr std -> expressions/expressions_macro.rs lazy_expressions_macro
dfr var   -> expressions/expressions_macro.rs lazy_expressions_macro

series:
dfr n-unique -> series/n_unique.rs
dfr is-not-null -> series/masks/is_not_null.rs
dfr is-null -> series/masks/is_null.rs

# User-Facing Changes
No user facing changes

---------

Co-authored-by: Jack Wright <jack.wright@disqo.com>
2023-07-31 07:34:12 -05:00
Jack Wright
bf5bd3ff10
"merging into one dfr into-nu command" (#9858)
- fixes #9806

# Description

Merges ExprAsNu command and ToNu into one command. 

# User-Facing Changes

As both commands were overloading ```dfr into-nu``` there are no user
facing changes

---------

Co-authored-by: Jack Wright <jack.wright@disqo.com>
2023-07-29 15:23:31 -05:00
JT
9068093081
Improve type hovers (#9515)
# Description

This PR does a few things to help improve type hovers and, in the
process, fixes a few outstanding issues in the type system. Here's a
list of the changes:

* `for` now will try to infer the type of the iteration variable based
on the expression it's given. This fixes things like `for x in [1, 2, 3]
{ }` where `x` now properly gets the int type.
* Removed old input/output type fields from the signature, focuses on
the vec of signatures. Updated a bunch of dataframe commands that hadn't
moved over. This helps tie things together a bit better
* Fixed inference of types from subexpressions to use the last
expression in the block
* Fixed handling of explicit types in `let` and `mut` calls, so we now
respect that as the authoritative type

I also tried to add `def` input/output type inference, but unfortunately
we only know the predecl types universally, which means we won't have
enough information to properly know what the types of the custom
commands are.

# User-Facing Changes

Script typechecking will get tighter in some cases
Hovers should be more accurate in some cases that previously resorted to
any.

# Tests + Formatting
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> ```
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---------

Co-authored-by: Darren Schroeder <343840+fdncred@users.noreply.github.com>
2023-06-29 05:19:48 +12:00
WMR
b67b6f7fc5
Add a datepart expression for dfr to be used with dfr with-column (#9285)
# Description

Today the only way to extract date parts from a dfr series is the dfr
get-* set of commands. These create a new dataframe with just the
datepart in it, which is almost entirely useless. As far as I can tell
there's no way to append it as a series in the original dataframe. In
discussion with fdncred on Discord we decided the best route was to add
an expression for modifying columns created in dfr with-column. These
are the way you manipulate series within a data frame.

I'd like feedback on this approach - I think it's a fair way to handle
things. An example to test it would be:

```[[ record_time]; [ (date now)]]  | dfr into-df | dfr with-column [ ((dfr col record_time) | dfr datepart nanosecond | dfr as "ns" ), (dfr col record_time | dfr datepart second | dfr as "s"), (dfr col record_time | dfr datepart minute | dfr as "m"), (dfr col record_time | dfr datepart hour | dfr as "h") ]```

I'm also proposing we deprecate the dfr get-* commands.  I've not been able to figure out any meaningful way they could ever be useful, and this approach makes more sense by attaching the extracted date part to the row in the original dataframe as a new column.

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# User-Facing Changes

add in dfr datepart as an expression
<!-- List of all changes that impact the user experience here. This helps us keep track of breaking changes. -->

# Tests + Formatting
Need to add some better assertive tests.  I'm also not sure how to properly write the test_dataframe at the bottom, but will revisit as part of this PR.  Wanted to get feedback early.

<!--
Don't forget to add tests that cover your changes.

Make sure you've run and fixed any issues with these commands:

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- `cargo clippy --workspace -- -D warnings -D clippy::unwrap_used -A clippy::needless_collect -A clippy::result_large_err` to check that you're using the standard code style
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# After Submitting
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---------

Co-authored-by: Robert Waugh <robert@waugh.io>
2023-05-30 09:41:18 -05:00
Michael Angerman
c55b5c0a55
move dataframe commands to nu-cmd-dataframe (#9241)
All of the dataframe commands ported over with no issues...

### 11 tests are commented out (for now)

So 100 of the original 111 tests are passing with only 11 tests being
ignored for now..

As per our conversation in the core team meeting on Wednesday
I took @jntrnr  suggestion and just commented out the tests dealing
with
[IntoDatetime](https://github.com/nushell/nushell/blob/main/crates/nu-command/src/conversions/into/mod.rs)

Later on we can move this functionality out of nu-command if we decide
it makes sense...

### The following tests were ignored...

```rust
modified:   crates/nu-cmd-dataframe/src/dataframe/series/date/get_day.rs
modified:   crates/nu-cmd-dataframe/src/dataframe/series/date/get_hour.rs
modified:   crates/nu-cmd-dataframe/src/dataframe/series/date/get_minute.rs

modified:   crates/nu-cmd-dataframe/src/dataframe/series/date/get_month.rs
modified:   crates/nu-cmd-dataframe/src/dataframe/series/date/get_nanosecond.rs
modified:   crates/nu-cmd-dataframe/src/dataframe/series/date/get_ordinal.rs

modified:   crates/nu-cmd-dataframe/src/dataframe/series/date/get_second.rs
modified:   crates/nu-cmd-dataframe/src/dataframe/series/date/get_week.rs
modified:   crates/nu-cmd-dataframe/src/dataframe/series/date/get_weekday.rs

modified:   crates/nu-cmd-dataframe/src/dataframe/series/date/get_year.rs
modified:   crates/nu-cmd-dataframe/src/dataframe/series/string/strftime.rs
```
2023-05-19 10:56:08 -07:00