tabsdata.tableframe.selectors.categorical

categorical() → SelectorProxy

Select all columns with categorical data type.

Example

>>> import tabsdata.tableframe as td_tf
>>>
>>> tf = td_tf.TableFrame({
...     "Id": [1, 2, 3, 4, 5, 6, 7, 8],
...     "Category": ["A", "B", "A", "C", "B", "A", "C", "B"],
...     "Score": [88.0, 92.5, 79.0, 85.0, 91.0, 87.5, 90.0, 86.5]
... }).with_columns([
...     td_tf.col("Category").cast(td_tf.Categorical)
... ])

Original: ┌──────┬──────────┬───────┐ │ Id ┆ Category ┆ Score │ │ — ┆ — ┆ — │ │ i64 ┆ cat ┆ f64 │ ╞══════╪══════════╪═══════╡ │ 1 ┆ “A” ┆ 88.0 │ │ 2 ┆ “B” ┆ 92.5 │ │ 3 ┆ “A” ┆ 79.0 │ │ 4 ┆ “C” ┆ 85.0 │ │ 5 ┆ “B” ┆ 91.0 │ │ 6 ┆ “A” ┆ 87.5 │ │ 7 ┆ “C” ┆ 90.0 │ │ 8 ┆ “B” ┆ 86.5 │ └──────┴──────────┴───────┘

>>> tf.select(td_tf.selectors.categorical())

Selected: ┌──────────┐ │ Category │ │ — │ │ cat │ ╞══════════╡ │ “A” │ │ “B” │ │ “A” │ │ “C” │ │ “B” │ │ “A” │ │ “C” │ │ “B” │ └──────────┘