Pandas Tables

Pandas DataFrame

Pass a Pandas DataFrame directly. The preview auto-detects the library and shows a Pandas badge.

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:

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

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