Commit Graph

2 Commits

Author SHA1 Message Date
f879c00f9d The ability to specify a schema when using dfr open and dfr into-df (#11634)
# Description

There are times where explicitly specifying a schema for a dataframe is
needed such as:
- Opening CSV and JSON lines files and needing provide more information
to polars to keep it from failing or in a desire to override default
type conversion
- When converting a nushell value to a dataframe and wanting to override
the default conversion behaviors.

This pull requests provides:
- A flag to allow specifying a schema when using dfr into-df
- A flag to allow specifying a schema when using dfr open that works for
CSV and JSON types
- A new command `dfr schema` which displays schema information and will
allow display support schema dtypes

Schema is specified creating a record that has the key value and the
dtype. Examples usages:

```
{a:1, b:{a:2}} | dfr into-df -s {a: u8, b: {a: i32}} | dfr schema
{a: 1, b: {a: [1 2 3]}, c: [a b c]} | dfr into-df -s {a: u8, b: {a: list<u64>}, c: list<str>} | dfr schema
 dfr open -s {pid: i32, ppid: i32, name: str, status: str, cpu: f64, mem: i64, virtual: i64} /tmp/ps.jsonl  | dfr schema
```

Supported dtypes:
null                                                   
bool                                                   
u8                                                     
u16                                                    
u32                                                    
u64                                                    
i8                                                     
i16                                                    
i32                                                    
i64                                                    
f32                                                    
f64                                                    
str                                                    
binary                                                 
date                                                   
datetime[time_unit: (ms, us, ns) timezone (optional)]  
duration[time_unit: (ms, us, ns)]                      
time                                                   
object                                                 
unknown                                                
list[dtype]


structs are also supported but are specified via another record:
{a: u8, b: {d: str}}

Another feature with the dfr schema command is that it returns the data
back in a format that can be passed to provide a valid schema that can
be passed in as schema argument:

<img width="638" alt="Screenshot 2024-01-29 at 10 23 58"
src="https://github.com/nushell/nushell/assets/56345/b49c3bff-5cda-4c86-975a-dfd91d991373">

---------

Co-authored-by: Jack Wright <jack.wright@disqo.com>
2024-01-29 13:26:04 -06:00
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