Missing Values

Highlighted Missing Values

By default, None and NaN values are highlighted in red:

from great_docs import tbl_preview
from gdtest_tbl_preview import sample_missing

tbl_preview(sample_missing(15))

TableRows15Columns4
	alpha str	beta f64	gamma f64	delta bool
0	bar	48.77	10	None
1	baz	79.19	81	True
2	foo	35.38	50	True
3	None	43.77	NaN	None
4	foo	47.08	6	None
10	foo	55.35	26	None
11	None	67.44	81	False
12	bar	None	92	True
13	baz	40.73	91	False
14	foo	None	93	None

Without Highlighting

Turn off missing-value highlighting with highlight_missing=False:

tbl_preview(sample_missing(15), highlight_missing=False)

TableRows15Columns4
	alpha str	beta f64	gamma f64	delta bool
0	bar	48.77	10	None
1	baz	79.19	81	True
2	foo	35.38	50	True
3	None	43.77	NaN	None
4	foo	47.08	6	None
10	foo	55.35	26	None
11	None	67.44	81	False
12	bar	None	92	True
13	baz	40.73	91	False
14	foo	None	93	None

Mixed Python Types

Inf, NaN, None, empty strings, HTML-unsafe characters, and large numbers:

from gdtest_tbl_preview import sample_types

tbl_preview(sample_types(), show_all=True)

TableRows6Columns5
	integer i64	floating f64	boolean bool	text str	big_number i64
0	0	0	True	hello	1000000000000000000
1	1	3.14	False	world	1000000000000000
2	-42	-2.718	True		1000000000000
3	1000000	10000000000	False	café	1000000000
4	2147483648	Inf	None	<b>bold</b>	1000000
5	None	NaN	True	None	1000