# Missing Values # Highlighted Missing Values By default, `None` and `NaN` values are highlighted in red: ``` python 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`: ``` python 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: ``` python 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 bold 1000000
5 None NaN True None 1000