# 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
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# 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.
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---------
Co-authored-by: Robert Waugh <robert@waugh.io>
# Description
This PR updates most dependencies and tries to get in sync with
reedline.
# User-Facing Changes
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helps us keep track of breaking changes. -->
# Tests + Formatting
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# Description
Fixes the clippy warnings we're about to get hit with next time we
upgrade Rust.
The big one was shrinking ShellError and related under 128 bytes.
# User-Facing Changes
Shouldn't notice much difference. In theory, we could see a tiny perf
improvement, but I didn't notice one.
# Tests + Formatting
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clippy::needless_collect -A clippy::result_large_err` to check that
you're using the standard code style
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standard library
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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
```
