dictionary to "long" dataframe

Is it possible to take a dictionary and transform it into a "long" dataframe in polars? basically have input that looks like

input_ = {"a": 1, "b": 2, "c": 3}

and I want output like

┌───────┬───────┐
│ col_0 ┆ col_1 │
│ ---   ┆ ---   │
│ str   ┆ i64   │
╞═══════╪═══════╡
│ a     ┆ 1     │
│ b     ┆ 2     │
│ c     ┆ 3     │
└───────┴───────┘

With pandas I use:

pd.DataFrame.from_dict(input_, orient="index").reset_index()

One option is to make a list of the items, then construct your DataFrame :

input_ = {"a": 1, "b": 2, "c": 3} #`input` is a reserved built-in
​
df = pl.DataFrame(list(input_.items()), schema=["col_0", "col_1"])

Ouptut :

print(df)
​
shape: (3, 2)
┌───────┬───────┐
│ col_0 ┆ col_1 │
│ ---   ┆ ---   │
│ str   ┆ i64   │
╞═══════╪═══════╡
│ a     ┆ 1     │
│ b     ┆ 2     │
│ c     ┆ 3     │
└───────┴───────┘