# Pandas Tables # Pandas DataFrame Pass a Pandas DataFrame directly. The preview auto-detects the library and shows a **Pandas** badge. ``` python import pandas as pd from great_docs import tbl_preview df = pd.DataFrame({ "name": ["Alice", "Bob", "Charlie", "Diana", "Eve", "Frank", "Grace", "Hank", "Iris", "Jack", "Kate", "Leo", "Mia", "Noah", "Olivia"], "department": ["Eng", "Sales", "Eng", "HR", "Sales", "Eng", "HR", "Sales", "Eng", "HR", "Sales", "Eng", "HR", "Sales", "Eng"], "salary": [95000, 72000, 88000, 65000, 78000, 105000, 62000, 81000, 92000, 58000, 74000, 110000, 67000, 83000, 97000], "years": [5, 3, 7, 2, 4, 10, 1, 6, 8, 3, 4, 12, 2, 5, 9], }) tbl_preview(df) ```
PandasRows15Columns4
name str
department str
salary i64
years i64
0 Alice Eng 95000 5
1 Bob Sales 72000 3
2 Charlie Eng 88000 7
3 Diana HR 65000 2
4 Eve Sales 78000 4
10 Kate Sales 74000 4
11 Leo Eng 110000 12
12 Mia HR 67000 2
13 Noah Sales 83000 5
14 Olivia Eng 97000 9
# Custom Head and Tail Show 8 rows from the top and 3 from the bottom: ``` python tbl_preview(df, n_head=8, n_tail=3) ```
PandasRows15Columns4
name str
department str
salary i64
years i64
0 Alice Eng 95000 5
1 Bob Sales 72000 3
2 Charlie Eng 88000 7
3 Diana HR 65000 2
4 Eve Sales 78000 4
5 Frank Eng 105000 10
6 Grace HR 62000 1
7 Hank Sales 81000 6
12 Mia HR 67000 2
13 Noah Sales 83000 5
14 Olivia Eng 97000 9
# Show All Rows ``` python tbl_preview(df, show_all=True) ```
PandasRows15Columns4
name str
department str
salary i64
years i64
0 Alice Eng 95000 5
1 Bob Sales 72000 3
2 Charlie Eng 88000 7
3 Diana HR 65000 2
4 Eve Sales 78000 4
5 Frank Eng 105000 10
6 Grace HR 62000 1
7 Hank Sales 81000 6
8 Iris Eng 92000 8
9 Jack HR 58000 3
10 Kate Sales 74000 4
11 Leo Eng 110000 12
12 Mia HR 67000 2
13 Noah Sales 83000 5
14 Olivia Eng 97000 9