# Polars Tables # Polars DataFrame Polars DataFrames are detected automatically and show a blue **Polars** badge with precise dtype labels. ``` python import polars as pl from great_docs import tbl_preview df = pl.DataFrame({ "id": range(1, 26), "value": [x * 1.1 for x in range(1, 26)], "category": ["A", "B", "C", "D", "E"] * 5, "flag": [True, False] * 12 + [True], }) tbl_preview(df) ```
PolarsRows25Columns4
id i64
value f64
category str
flag bool
0 1 1.1 A True
1 2 2.2 B False
2 3 3.3 C True
3 4 4.4 D False
4 5 5.5 E True
20 21 23.1 A True
21 22 24.2 B False
22 23 25.3 C True
23 24 26.4 D False
24 25 27.5 E True
# Head Only (No Tail) ``` python tbl_preview(df, n_head=10, n_tail=0) ```
PolarsRows25Columns4
id i64
value f64
category str
flag bool
0 1 1.1 A True
1 2 2.2 B False
2 3 3.3 C True
3 4 4.4 D False
4 5 5.5 E True
5 6 6.6 A False
6 7 7.7 B True
7 8 8.8 C False
8 9 9.9 D True
9 10 11 E False