DataTable sort by function (or other callable) #3090

joshbduncan · 2023-08-11T04:48:58Z

Please review the following checklist.

Docstrings on all new or modified functions / classes
Updated documentation
Updated CHANGELOG.md (where appropriate)

After running into the issue of sorting a DataTable that includes Rich.Text objects a few times, and seeing a few issues and responses on the Textual Discord, I figured I would attempt to implement a "key-like" argument for the sort method. This has been discussed in #2243, and #2261, and I took the suggested sort method argument of by from @darrenburns comment (#2512 (comment)).

I have an example app below (also included in the docs) that demos using the new functionality a few different ways.

action_sort_by_average_time() uses a custom sort function
action_sort_by_last_name() uses a custom sort lambda
actionsort_by_country() sorts a column containing Rich.Text objects

All three examples can be accessed via a binding which you will see in the footer.

from rich.text import Text

from textual.app import App, ComposeResult
from textual.widgets import DataTable, Footer

ROWS = [
    ("lane", "swimmer", "country", "time 1", "time 2"),
    (4, "Joseph Schooling", Text("Singapore", style="italic"), 50.39, 51.84),
    (2, "Michael Phelps", Text("United States", style="italic"), 51.14, 51.84),
    (5, "Chad le Clos", Text("South Africa", style="italic"), 51.14, 51.73),
    (6, "László Cseh", Text("Hungary", style="italic"), 51.14, 51.58),
    (3, "Li Zhuhao", Text("China", style="italic"), 51.26, 51.26),
    (8, "Mehdy Metella", Text("France", style="italic"), 51.58, 52.15),
    (7, "Tom Shields", Text("United States", style="italic"), 51.73, 51.12),
    (1, "Aleksandr Sadovnikov", Text("Russia", style="italic"), 51.84, 50.85),
    (10, "Darren Burns", Text("Scotland", style="italic"), 51.84, 51.55),
]


class TableApp(App):
    BINDINGS = [
        ("a", "sort_by_average_time", "Sort By Average Time"),
        ("n", "sort_by_last_name", "Sort By Last Name"),
        ("c", "sort_by_country", "Sort By Country"),
    ]

    current_sorts: set = set()

    def compose(self) -> ComposeResult:
        yield DataTable()
        yield Footer()

    def on_mount(self) -> None:
        table = self.query_one(DataTable)
        for col in ROWS[0]:
            table.add_column(col, key=col)
        table.add_rows(ROWS[1:])

    def sort_reverse(self, sort_type: str):
        """Determine if `sort_type` is ascending or descending."""
        reverse = sort_type in self.current_sorts
        if reverse:
            self.current_sorts.remove(sort_type)
        else:
            self.current_sorts.add(sort_type)
        return reverse

    def action_sort_by_average_time(self) -> None:
        """Sort DataTable by average of times (via a function)."""

        def sort_by_average_time(row):
            _, row_data = row
            times = [row_data["time 1"], row_data["time 2"]]
            return sum(times) / len(times)

        table = self.query_one(DataTable)
        table.sort(sort_by_average_time, reverse=self.sort_reverse("time"))

    def action_sort_by_last_name(self) -> None:
        """Sort DataTable by last name of swimmer (via a lambda)."""
        table = self.query_one(DataTable)
        table.sort(
            lambda row: row[1]["swimmer"].split()[-1],
            reverse=self.sort_reverse("swimmer"),
        )

    def action_sort_by_country(self) -> None:
        """Sort DataTable by country which is a `Rich.Text` object."""
        table = self.query_one(DataTable)
        table.sort(
            lambda row: row[1]["country"].plain,
            reverse=self.sort_reverse("country"),
        )


app = TableApp()
if __name__ == "__main__":
    app.run()

This functionality also works great with the on_data_table_header_selected() method, allowing you to apply different sorts depending on the clicked column header via event.label.

def on_data_table_header_selected(self, event: Click) -> None:
    """Sort `DataTable` items by the clicked column header."""
    match event.label.plain.lower():
        case "row 1":
            by = lambda x: x + 1
        case "row 2":
            by = lambda x: x + 2
        case _:
            by = (event.column_key,)

    self.sort(by)

Finally, this is a breaking change since it requires all calls to the sort method to include an iterable of key(s) (or a singular function/callable). I have updated all current DataTable tests with iterables for the first argument and also added new tests for the expanded functionality.

@darrenburns

The `DataTable` widget now takes the `by` argument instead of `columns`, allowing the table to also be sorted using a custom function (or other callable). This is a breaking change since it requires all calls to the `sort` method to include an iterable of key(s) (or a singular function/callable). Covers Textualize#2261 using [suggested function signature](Textualize#2512 (comment)) from @darrenburns on PR Textualize#2512.

darrenburns

Thanks - looks good to me!

@willmcgugan thoughts on the API?

misterek · 2023-08-23T12:03:25Z

FWIW, I really like this idea. Right now I just have a 0 width hidden column that I change to adjust sort order, but that's awfully clunky.

darrenburns · 2023-08-23T12:06:25Z

@misterek Very smart workaround, don't think I'd have thought of that 😄

willmcgugan

LGTM

willmcgugan

A suggestion re the API for your consideration.

willmcgugan · 2023-08-28T09:58:47Z

src/textual/widgets/_data_table.py

@@ -2107,13 +2107,15 @@ def _get_fixed_offset(self) -> Spacing:

    def sort(
        self,
-        *columns: ColumnKey | str,
+        by: Iterable[ColumnKey | str] | Callable,


Rather than a breaking change, could we keep the positional arguments, but add a key argument. This feels like it would be closer to sorting lists, and would be less astonishing to the dev.

If both columns and a key function are specified, then I would think that would be an error.

If both columns and a key function are specified, then I would think that would be an error.

This feels confusing to me to be honest - it means we'll have a method with two parameters controlling the same thing (how the data is sorted) that can't be supplied together. If we keep them as a single param then the method signature/typing conveys that they can't both be supplied. By having separate params, we're opening up an avenue for people to use the API incorrectly which didn't exist before. If we really want to avoid a breaking change my vote would be for a new method.

Let me explore how this change may work.

With this change:

table.sort() Sort by default column order.
table.sort(("foo",)) Sort by single column (feels clumsy, even if it was a list and not a tuple of one.
table.sort(("foo", "bar")) Still feels clumsy to me. The double nesting of parenthesis would be a double take.
table.sort(my_key) # Sort by key, clear enough.

With positional args, and key parameter:

table.sort()
table.sort("foo") I think this is clear that it sorts one column.
table.sort("foo", "bar") Sorts two columns
table.sort(key=my_key) Sorts by key.

I hear what you are saying about the ambiguity of specifying both columns and a key.

How about, if you specify columns and a key, then the key gets a tuple of the specified columns, and not the entire row.

I feel this is actually useful, and not a gimmick to get around @darrenburns objection.

It will allow us to have a key function that isn't tied to the number of columns. At the moment, if we add a column or change their order, our key function could become outdated. Consider this:

def sort_foo_bar(row:tuple[str, str]) -> str: return "".join(row).lower() table.sort("foo", "bar", key=sort_foo_bar)

Since we have specified the columns for the key function, it won't change the behaviour if we change the order of the columns, or add more columns.

Thoughts?

I think that's a really good idea, I like it - good point about the key function potentially becoming outdated after adding columns too 👍

Huzzah!

@joshbduncan Are you ok to make that change?

@willmcgugan, I like this solution as well and can get it implemented. Thanks!

Changed back to orinal `columns` argument and added a new `key` argument which takes a function (or other callable). This allows the PR to NOT BE a breaking change.

joshbduncan · 2023-08-28T19:16:02Z

@willmcgugan and @darrenburns, I have made the updates you suggested.

The sort method is back to accepting columns and now also takes key, making this no longer a breaking change.

def sort(
    self,
    *columns: ColumnKey | str,
    key: Callable | None = None,
    reverse: bool = False,
) -> Self:
...

When both columns and a key are specified, I create a custom _key function that only sends the row data (as a tuple) from the specified columns to the key function for sorting against.

_key = key
if key and columns:

    def _key(row):
        return key(itemgetter(*columns)(row[1]))

ordered_rows = sorted(
    self._data.items(),
    key=_key if _key else sort_by_column_keys,
    reverse=reverse,
)

Lastly, did make a change to the following line. Since the method now accepts key, I changed key below to row_key so there is no confusion when reading the code.

self._row_locations = TwoWayDict(
    {row_key: new_index for new_index, (row_key, _) in enumerate(ordered_rows)}
)

- Updated the example file for the docs to better show the functionality of the change (especially when using `columns` and `key` together). - Added one new tests to cover a similar situation to the example changes

- the sort by clicked column function was bloat in my opinion

willmcgugan

Nearly there. In nit-picking territory now.

willmcgugan · 2023-09-11T09:32:27Z

src/textual/widgets/_data_table.py

@@ -2108,12 +2108,17 @@ def _get_fixed_offset(self) -> Spacing:
    def sort(
        self,
        *columns: ColumnKey | str,
+        key: Callable | None = None,


Can we narrow the typing for this Callable?

Since key can accept and return such a wide range of types were you thinking something like key: Callable[..., Any] or key: Callable[[Any], Any]? Neither are very "narrowing" but seem to be pretty common practice from what I have seen elsewhere.

Doesn't the key function take a row, which is given as a list of values? In that case, wouldn't this be more precise?

Callable[list[Any], Any]

I was hoping there was some kind of typing.SupportsCompare, but there doesn't seem to be.

Yes, but the args going to key won't be a list as args come in as a tuple. And no matter the type, it seems the first type in the Callable typing has to be inside of brackets unless it is .... So, Callable[[Any], Any], or Callable[[list[Any], Any], or `Callable[[tuple[Any]], Any], and so on...

And to further complicate things, since itemgetter is used when columns are provided, either a single value CellType or tuple of multiple values CellType (when someone passes multiple columns to the sort function) are getting passed to the function making me lean towards Any.

Unless I am missing something (which is very possible), I think the options are Callable[[Any], Any] of Callable[[tuple[Any]], Any]. Thoughts?

Please forgive my ignorance if this is out of line, would an @overload be appropriate to help narrow the type? Roughly mocked, it could look like the following:

@overload def sort( self, columns: ColumnKey | str, *, key: Callable[[CellType], Any] | None = None, reverse: bool = False, ) -> Self: ... @overload def sort( self, *columns: ColumnKey | str, key: Callable[[tuple[CellType, ...]], Any] | None = None, reverse: bool = False, ) -> Self: ... def sort( self, *columns: ColumnKey | str, key: Callable[[Any], Any] | None = None, reverse: bool = False, ) -> Self: # Implementation

Though the type hints I'm receiving in test_data_table.py are appropriately enhanced and the new/updated test_sort_...() tests are still passing on my machine, there are two potential issues with my naive approach that I can see immediately:

These overloads are just fancy lies and I don't think the relocation of the * in the fist/singular @overload is good behavior. My type checker is yelling at me in the _data_table.py file on the implementation of sort() that Overloaded implementation is not consistent with signature of overload 1 due to the movement of the * between the singular overload and the implementation. This motion hides the fact that the singular columns: ColumnKey | str param is actually getting wrapped up into a tuple by the implementation's *columns: ColumnKey | str.

The first @overload, in its singular form, may become the first completion suggestion and how a new user first interacts with sort(). This may lead them to the incorrect conclusion that, despite columns being plural and clear documentation, sort() is limited to a single column input.

I honestly haven't used the @overload decorator much and that would probably be a directional decision for the maintainers.

As for the Callable typing... I have looked into it (too much) and there doesn't seem to be a general consensus. After lots of GitHub sleuthing, I have found most packages just go with Callable[[Any], Any] or Callable[..., Any] which is equivalent to just Callable. And I can't come up with anything better...

On the inputs/parameters side of the callable type, CellType is loosely defined so no matter if you use that, it just resolves to Any anyway.

And on the return side of the callable, since the method is called sort, I think it is implied that the return values should be "comparable", but that obviously leaves many options (which is probably best typed with Any).

So, all that to say, 🤷‍♂️...

willmcgugan · 2023-09-11T09:37:22Z

src/textual/widgets/_data_table.py

+        _key = key
+        if key and columns:
+
+            def _key(row):


So row is a tuple of row_key and row data?

Do we need the row key in there? I'm struggling to imagine a scenario where that might be neccesary.

I'm not sure I follow... The original code provided a tuple of tuple[RowKey, dict[ColumnKey | str, CellType]] to the default sort_by_column_keys() function, then after sorting, it uses the RowKey part of the now sorted tuples to update the _row_locations dictionary. I just followed that same logic when adding the catch for key and columns. I could re-write the catch to be more clear and in line with the default sort_by_column_keys() function like below.

if key and columns: def _key(row): _, row_data = row return key(itemgetter(*columns)(row_data))

Let me know if I am missing what you are point out?

I see how the row_key is used now. The key function gets a tuple of row key, and row data, but it discards the row key (which you unpack as _).

I think it would be surprising to have the row key there (and its not documented in the signature). Could we allow the key function to accept just the row data? That's what I would expect to be the default.

I guess you would need to wrap the key function. Something like the following:

def key_wrapper(row): row_key, row_data = row return (row_key, key(row_data))

Sorry, can I back up a bit and get your thoughts to make sure we are on the same page... I think we are working toward the same thing since I am already "wrapping" the key function to only send the row_data to the original user-supplied key function...

First things first. I should have asked this in the beginning, I guess. The _data_table.sort() API in main raises an exception if no columns are passed since the base sort_by_column_keys() function uses itemgetter to get each item from columns. When a key is provided should the same logic be followed, or should all row data be sent to the provided key function?

If the same exception should be raised if no columns are provided, then this "wraps" the user-supplied key function and only sends the actual row data.

_key = key if key: def _key(row: tuple[RowKey, dict[ColumnKey | str, CellType]]) -> Any: _, row_data = row return key(itemgetter(*columns)(row_data))

If all data should be sent in the absence of columns, then a ternary to send the correct data should do the trick.

_key = key if key: def _key(row): _, row_data = row return key(itemgetter(*columns)(row_data) if columns else tuple(row_data.values()))

In both cases, only the actual row_data is being passed to the user-supplied key function, the only reason for the row_key tagging along is to be able to update the TwoWayDict the API has set up to track all of the data. To my knowledge, if you don't send along with the RowKey to the built-in sorted method, you will have to do more work to reconstruct the self._row_locations dict after sorting.

ordered_rows = sorted( self._data.items(), key=_key if key is not None else sort_by_column_keys, reverse=reverse, ) self._row_locations = TwoWayDict( {row_key: new_index for new_index, (row_key, _) in enumerate(ordered_rows)} )

willmcgugan · 2023-09-11T16:47:59Z

src/textual/widgets/_data_table.py

+        _key = key
+        if key and columns:
+
+            def _key(row):


I see how the row_key is used now. The key function gets a tuple of row key, and row data, but it discards the row key (which you unpack as _).

I think it would be surprising to have the row key there (and its not documented in the signature). Could we allow the key function to accept just the row data? That's what I would expect to be the default.

I guess you would need to wrap the key function. Something like the following:

def key_wrapper(row): row_key, row_data = row return (row_key, key(row_data))

willmcgugan · 2023-09-11T16:48:54Z

src/textual/widgets/_data_table.py

        ordered_rows = sorted(
-            self._data.items(), key=sort_by_column_keys, reverse=reverse
+            self._data.items(),
+            key=_key if _key else sort_by_column_keys,


Can we have an explicit check for is not None here. For the (admittedly unlikely) scenario of a callable object with a __bool__ that returns False.

aaronst · 2023-09-14T21:12:22Z

Using this new API, is there a way I could sort by multiple columns that each need a different key? For example, say I have a table of DNS A records: one column of FQDNs and another of IPv4 addresses (both represented as str). I'd like to sort by both, but I want FQDNs sorted alphabetically and IPv4 addresses sorted numerically.

joshbduncan · 2023-09-14T22:01:38Z

@aaronst, here's the same example code edited to fit your description. There are two options "F" sorts by the FQDN first, then the IPv4 address. "I" does the reverse, sorting the rows by IPv4 first then by the FQDN. I put a few of the same FQDN names so you can that it does sort the IPv4 after the name. Let me know if this is what you were looking for?

import ipaddress
from random import randint

from rich.text import Text

from textual.app import App, ComposeResult
from textual.widgets import DataTable, Footer


def random_ip() -> str:
    return f"{randint(0, 256)}.{randint(0, 256)}.{randint(0, 256)}.{randint(0, 256)}"


ROWS = [
    ("DNS A", "FQDN", "IPv4", "country"),
    (random_ip(), "Joseph Schooling", random_ip(), Text("Singapore", style="italic")),
    (random_ip(), "Michael Phelps", random_ip(), Text("United States", style="italic")),
    (random_ip(), "Joseph Schooling", random_ip(), Text("South Africa", style="italic")),
    (random_ip(), "László Cseh", random_ip(), Text("Hungary", style="italic")),
    (random_ip(), "Li Zhuhao", random_ip(), Text("China", style="italic")),
    (random_ip(), "László Cseh", random_ip(), Text("France", style="italic")),
    (random_ip(), "Tom Shields", random_ip(), Text("United States", style="italic")),
    (random_ip(), "Li Zhuhao", random_ip(), Text("Russia", style="italic")),
    (random_ip(), "Li Zhuhao", random_ip(), Text("Scotland", style="italic")),
]


class TableApp(App):
    BINDINGS = [
        ("f", "sort_fqdn_first", "Sort by FQDN then IPv4"),
        ("i", "sort_ipv4_first", "Sort by IPv4 then FQDN"),
    ]

    current_sorts: set = set()

    def compose(self) -> ComposeResult:
        yield DataTable()
        yield Footer()

    def on_mount(self) -> None:
        table = self.query_one(DataTable)
        for col in ROWS[0]:
            table.add_column(col, key=col)
        table.add_rows(ROWS[1:])

    def sort_reverse(self, sort_type: str):
        """Determine if `sort_type` is ascending or descending."""
        reverse = sort_type in self.current_sorts
        if reverse:
            self.current_sorts.remove(sort_type)
        else:
            self.current_sorts.add(sort_type)
        return reverse

    def action_sort_fqdn_first(self) -> None:
        """Sort by FQDN (alphabetically) then by IPv4 (numerically)."""

        def custom_sort(row_data):
            fqdn, ipv4 = row_data
            return (fqdn, ipaddress.ip_address(ipv4))

        table = self.query_one(DataTable)
        table.sort(
            "FQDN",
            "IPv4",
            key=custom_sort,
            reverse=self.sort_reverse("fqdn"),
        )

    def action_sort_ipv4_first(self) -> None:
        """Sort by FQDN (alphabetically) then by IPv4 (numerically)."""

        def custom_sort(row_data):
            ipv4, fqdn = row_data
            return (ipaddress.ip_address(ipv4), fqdn)

        table = self.query_one(DataTable)
        table.sort(
            "IPv4",
            "FQDN",
            key=custom_sort,
            reverse=self.sort_reverse("ipv4"),
        )


app = TableApp()
if __name__ == "__main__":
    app.run()

aaronst · 2023-09-14T22:05:54Z

@joshbduncan thanks! I believe this does cover the use case I have. Essentially, key just needs to return the comparable values in order, does that sound right?

joshbduncan · 2023-09-14T23:14:11Z

@aaronst, yep you've got it. Essentially, the key you provide gets sent to the built-int sorted method so all of the same rules apply.

joshbduncan · 2023-09-21T15:47:57Z

@willmcgugan,

I added the explicit is not None check for _key
Update the typing for the callable (see my comment above).
The wrapper for the user supplied 'key' function now matches the setup of the default sort_by_column_keys() function and only sends the actual row data (columns=) to the user supplied callable.
This latest commit keeps in-line with the current API in that an exception is thrown when no columns are provided to the data_table.sort() method (see my comment above).
Tests were updated to match the new behavior.

joshbduncan · 2023-10-12T03:31:56Z

Renamed _key function to key_wrapper for clarity and removed the duplicate if key: check in a0839cc.

darrenburns · 2023-10-17T17:38:44Z

I suspect the behaviour we want for the key function is what you originally had:

If I write table.sort(key=my_sort_function), then my_sort_function is called with the entire row (every cell from that row is available).
If I write table.sort("time", key=my_sort_function), then my_sort_function is called with a sequence containing only a single cell (the cell containing the time).

As it stands, raising an exception on table.sort(key=my_sort_function) feels surprising.

@willmcgugan Can you confirm this is what you had in mind?

joshbduncan · 2023-10-17T18:05:42Z

Yep, getting all row data back would be the behavior I would expect as a consumer.

willmcgugan · 2023-10-17T18:22:35Z

I concur. If you don't specify column(s), you get the whole row.

joshbduncan · 2023-10-17T18:45:44Z

@darrenburns and @willmcgugan, two questions?

Do you prefer a specific if/else statement or are you okay with an inline version?

# explicit if/else statement
def key_wrapper(row: tuple[RowKey, dict[ColumnKey | str, CellType]]) -> Any:
    _, row_data = row
    if columns:
        return key(itemgetter(*columns)(row_data))
    else:
        return key(tuple(row_data.values()))

# or inline if statement
def key_wrapper(row: tuple[RowKey, dict[ColumnKey | str, CellType]]) -> Any:
    _, row_data = row
    return key(
        itemgetter(*columns)(row_data) if columns else tuple(row_data.values())
    )

Since the behavior of sorting by key returns all row data when no columns are specified, do you want to change the current "non-key" sort behavior to match the same pattern. The return for the sort_by_column_keys() function would just need to be match to either of the options below.

joshbduncan · 2023-10-24T21:23:40Z

So, if everyone concurs that all row data should be returned when no columns are passed, I think you could just get rid of the default sort_by_column_keys() function and roll everything into key_wrapper() like below. This is overly expressive and in the style of the original default code but should be pretty clear about what is happening.

def key_wrapper(row: tuple[RowKey, dict[ColumnKey | str, CellType]]) -> Any:
    _, row_data = row
    if columns:
        result = itemgetter(*columns)(row_data)
    else:
        result = tuple(row_data.values())
    if key is not None:
        return key(result)
    return result

ordered_rows = sorted(
    self._data.items(),
    key=key_wrapper,
    reverse=reverse,
)

I also merged in the latest main. I am not sure why the snapshot tests are failing thought as none of them seem to have anything to do with my changes to DataTable.

…s test coverage of the case where a key, but no columns, is passed to DataTable.sort.

… PR link

darrenburns

Looks good to me. I've made some changes to the tests as some things could be considered redundant (e.g. testing using both a lambda and a function as a key), and also fixed a changelog conflict. Playing around with it, it seems to work well too.

Also, to answer your earlier question about inline vs block if/else - we don't really mind as for simple cases it's usually very subjective.

@willmcgugan could you unblock this when you get a few minutes?

Deferring to Darren

darrenburns · 2023-10-31T13:15:09Z

Thanks @joshbduncan - this is going out in the next release (today)!

joshbduncan · 2023-10-31T16:54:45Z

@darrenburns, thanks again for your help! Happy Halloween 👻

guystreeter · 2023-11-17T03:48:22Z

This solution does not solve the use case where the sort criteria are not present in the row data. I need some way to link a row to the actual ordering I want. I could encode the sort criteria in the row key string (for instance), if I could access that in my sort function. A better solution (for me at least) would be a hidden column. I could put the sorting value in a column the user does not see.

joshbduncan · 2023-11-17T05:19:52Z

Your sort function could reference any external data store/source as long as some portion of your row data could be used as the lookup value. I don't know your exact use case but I could see a separate dictionary that holds the sorting data that you could access from inside of your sort function.

guystreeter · 2023-11-17T15:27:29Z

Thanks, I am considering that as my only option, but it can get complex for a large, dynamically updated table.
Maybe I should make a separate feature request for a hideable or hidden column.

TomJGooding · 2023-11-17T15:31:05Z

add_column with a width=0 should do it I would think.

joshbduncan · 2023-11-17T16:29:39Z

Yes @TomJGooding, previously (before this PR merge), I used this exact approach. It is basically a hidden column with the data you need to sort by and it is a great work-a-round that makes sorting very easy with no need for separate functions. That would be the route I would take.

guystreeter · 2023-11-17T17:11:20Z

Thanks, I would never have thought of that!

darrenburns approved these changes Aug 21, 2023

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willmcgugan approved these changes Aug 28, 2023

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willmcgugan requested changes Aug 28, 2023

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argument change and functionaloty update

69730d8

Changed back to orinal `columns` argument and added a new `key` argument which takes a function (or other callable). This allows the PR to NOT BE a breaking change.

joshbduncan added 2 commits August 28, 2023 21:28

better example for docs

7cd0494

- Updated the example file for the docs to better show the functionality of the change (especially when using `columns` and `key` together). - Added one new tests to cover a similar situation to the example changes

removed unecessary code from example

312f9ac

- the sort by clicked column function was bloat in my opinion

willmcgugan previously requested changes Sep 11, 2023

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willmcgugan reviewed Sep 11, 2023

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TomJGooding mentioned this pull request Sep 12, 2023

Sort method inDataTable doesn't support rich.Text types #2261

Closed

requested changes

5f71d0f

simplify method and terminology

a0839cc

Merge branch 'main' into data-table-sort-by-key

ceab271

joshbduncan added 2 commits October 24, 2023 16:59

combine key_wrapper and default sort

948b816

Merge remote-tracking branch 'upstream/main' into data-table-sort-by-key

9beb7ed

Merge branch 'main' into data-table-sort-by-key

6ed8ae3

darrenburns added 3 commits October 27, 2023 16:16

Removing some tests from DataTable.sort as duplicates. Ensure there i…

5db5c1a

…s test coverage of the case where a key, but no columns, is passed to DataTable.sort.

Remove unused import

9d17690

Fix merge issues in CHANGELOG, update DataTable sort-by-key changelog…

7541867

… PR link

darrenburns approved these changes Oct 27, 2023

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darrenburns merged commit 4f95d30 into Textualize:main Oct 31, 2023
22 checks passed

joshbduncan deleted the data-table-sort-by-key branch December 22, 2023 17:15

DataTable sort by function (or other callable) #3090

DataTable sort by function (or other callable) #3090

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joshbduncan commented Aug 28, 2023 • edited Loading

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aaronst commented Sep 14, 2023

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darrenburns commented Oct 31, 2023

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joshbduncan commented Aug 28, 2023 •

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