## GT.cols_width()


Set the widths of columns.


Usage

``` python
GT.cols_width(
    cases=None,
    **kwargs,
)
```


Manual specifications of column widths can be performed using the [cols_width()](GT.cols_width.md#great_tables.GT.cols_width) method. We choose which columns get specific widths. This can be in units of pixels or as percentages. Width assignments are supplied inside of a dictionary where columns are the keys and the corresponding width is the value.


## Parameters


`cases: dict[str, str] | None = None`  
A dictionary where the keys are column names and the values are the widths. Widths can be specified in pixels (e.g., `"50px"`) or as percentages (e.g., `"20%"`). Use the [`stub`](%60great_tables.stub%60) sentinel as a key to set the width of the stub column without risk of collision with a data column named `"stub"`.

`**kwargs: str`  
Keyword arguments to specify column widths. Each keyword corresponds to a column name, with its value indicating the width in pixels or percentages.


## Returns


`GT`  
The GT object is returned. This is the same object that the method is called on so that we can facilitate method chaining.


## Examples

Let's use select columns from the [exibble](data.exibble.md#great_tables.data.exibble) dataset to create a new table. We can specify the widths of columns with [cols_width()](GT.cols_width.md#great_tables.GT.cols_width). This is done by specifying the exact widths for table columns in a dictionary. In this example, we'll set the width of the `num` column to `"150px"`, the `char` column to `"100px"`, the `date` column to `"300px"`. All other columns won't be affected (their widths will be automatically set by their content).


``` python
import warnings
from great_tables import GT, exibble

warnings.filterwarnings("ignore")
exibble_mini = exibble[["num", "char", "date", "datetime", "row"]].head(5)

(
    GT(exibble_mini)
    .cols_width(
        cases={
            "num": "150px",
            "char": "100px",
            "date": "300px"
        }
    )
)
```


| num    | char    | date       | datetime         | row   |
|--------|---------|------------|------------------|-------|
| 0.1111 | apricot | 2015-01-15 | 2018-01-01 02:22 | row_1 |
| 2.222  | banana  | 2015-02-15 | 2018-02-02 14:33 | row_2 |
| 33.33  | coconut | 2015-03-15 | 2018-03-03 03:44 | row_3 |
| 444.4  | durian  | 2015-04-15 | 2018-04-04 15:55 | row_4 |
| 5550.0 |         | 2015-05-15 | 2018-05-05 04:00 | row_5 |


We can also specify the widths of columns as percentages. In this example, we'll set the width of the `num` column to `"20%"`, the `char` column to `"10%"`, and the `date` column to `"30%"`. Note that the percentages are relative and don't need to sum to 100%.


``` python
(
    GT(exibble_mini)
    .cols_width(
        cases={
            "num": "20%",
            "char": "10%",
            "date": "30%"
        }
    )
)
```


| num    | char    | date       | datetime         | row   |
|--------|---------|------------|------------------|-------|
| 0.1111 | apricot | 2015-01-15 | 2018-01-01 02:22 | row_1 |
| 2.222  | banana  | 2015-02-15 | 2018-02-02 14:33 | row_2 |
| 33.33  | coconut | 2015-03-15 | 2018-03-03 03:44 | row_3 |
| 444.4  | durian  | 2015-04-15 | 2018-04-04 15:55 | row_4 |
| 5550.0 |         | 2015-05-15 | 2018-05-05 04:00 | row_5 |


We can also mix and match pixel and percentage widths. In this example, we'll set the width of the `num` column to `"150px"`, the `char` column to `"10%"`, and the `date` column to `"30%"`.


``` python
(
    GT(exibble_mini)
    .cols_width(
        cases={
            "num": "150px",
            "char": "10%",
            "date": "30%"
        }
    )
)
```


| num    | char    | date       | datetime         | row   |
|--------|---------|------------|------------------|-------|
| 0.1111 | apricot | 2015-01-15 | 2018-01-01 02:22 | row_1 |
| 2.222  | banana  | 2015-02-15 | 2018-02-02 14:33 | row_2 |
| 33.33  | coconut | 2015-03-15 | 2018-03-03 03:44 | row_3 |
| 444.4  | durian  | 2015-04-15 | 2018-04-04 15:55 | row_4 |
| 5550.0 |         | 2015-05-15 | 2018-05-05 04:00 | row_5 |


If we set the width of all columns, the table will be forced to use the specified widths (i.e., a column width less than the content width will be honored). In this next example, we'll set widths for all columns. This is a good way to ensure that the widths you specify are fully respected (and not overridden by automatic width calculations).


``` python
(
    GT(exibble_mini)
    .cols_width(
        cases={
            "num": "30px",
            "char": "100px",
            "date": "100px",
            "datetime": "200px",
            "row": "50px"
        }
    )
)
```


| num    | char    | date       | datetime         | row   |
|--------|---------|------------|------------------|-------|
| 0.1111 | apricot | 2015-01-15 | 2018-01-01 02:22 | row_1 |
| 2.222  | banana  | 2015-02-15 | 2018-02-02 14:33 | row_2 |
| 33.33  | coconut | 2015-03-15 | 2018-03-03 03:44 | row_3 |
| 444.4  | durian  | 2015-04-15 | 2018-04-04 15:55 | row_4 |
| 5550.0 |         | 2015-05-15 | 2018-05-05 04:00 | row_5 |


Notice that in the above example, the `num` column is very small (only `30px`) and the content overflows. When not specifying the width of all columns, the table will automatically adjust the column widths based on the content (and you wouldn't get the overflowing behavior seen in the previous example).

When a table has a stub (row labels), use the [`stub`](%60great_tables.stub%60) sentinel to set its width. This avoids any ambiguity with a data column that happens to be named `"stub"`.


``` python
from great_tables import GT, stub
from great_tables.data import gtcars

gtcars_mini = gtcars[["model", "year", "hp", "msrp"]].head(6)

(
    GT(gtcars_mini, rowname_col="model")
    .cols_width(
        cases={
            stub: "200px",
            "year": "60px",
            "hp": "60px",
            "msrp": "120px",
        }
    )
)
```


|              | year | hp    | msrp     |
|--------------|------|-------|----------|
| GT           | 2017 | 647.0 | 447000.0 |
| 458 Speciale | 2015 | 597.0 | 291744.0 |
| 458 Spider   | 2015 | 562.0 | 263553.0 |
| 458 Italia   | 2014 | 562.0 | 233509.0 |
| 488 GTB      | 2016 | 661.0 | 245400.0 |
| California   | 2015 | 553.0 | 198973.0 |