# Comparison Checks Across Columns
Pointblank Validation
2026-10-15|18:26:25 Polars
STEP COLUMNS VALUES TBL EVAL UNITS PASS FAIL W E C EXT
#4CA64C66 1
col_vals_lt()
a c ✓ 13 6
0.46		 7
0.54		 -- -- -- CSV
#4CA64C 2
col_vals_between()
d [c, 12000] ✓ 13 13
1.00		 0
0.00		 -- -- -- --
2026-10-15 18:26:25 UTC< 1 s2026-10-15 18:26:25 UTC
``` python import pointblank as pb validation = ( pb.Validate( data=pb.load_dataset(dataset="small_table", tbl_type="polars") ) .col_vals_lt(columns="a", value=pb.col("c")) # values in 'a' > values in 'c' .col_vals_between( columns="d", # values in 'd' are between values left=pb.col("c"), # in 'c' and the fixed value of 12,000; right=12000, # any missing values encountered result na_pass=True # in a passing test unit ) .interrogate() ) validation ``` Preview of Input Table
PolarsRows13Columns8
date_time Datetime
date Date
a Int64
b String
c Int64
d Float64
e Boolean
f String
1 2016-01-04 11:00:00 2016-01-04 2 1-bcd-345 3 3423.29 True high
2 2016-01-04 00:32:00 2016-01-04 3 5-egh-163 8 9999.99 True low
3 2016-01-05 13:32:00 2016-01-05 6 8-kdg-938 3 2343.23 True high
4 2016-01-06 17:23:00 2016-01-06 2 5-jdo-903 None 3892.4 False mid
5 2016-01-09 12:36:00 2016-01-09 8 3-ldm-038 7 283.94 True low
6 2016-01-11 06:15:00 2016-01-11 4 2-dhe-923 4 3291.03 True mid
7 2016-01-15 18:46:00 2016-01-15 7 1-knw-093 3 843.34 True high
8 2016-01-17 11:27:00 2016-01-17 4 5-boe-639 2 1035.64 False low
9 2016-01-20 04:30:00 2016-01-20 3 5-bce-642 9 837.93 False high
10 2016-01-20 04:30:00 2016-01-20 3 5-bce-642 9 837.93 False high
11 2016-01-26 20:07:00 2016-01-26 4 2-dmx-010 7 833.98 True low
12 2016-01-28 02:51:00 2016-01-28 2 7-dmx-010 8 108.34 False low
13 2016-01-30 11:23:00 2016-01-30 1 3-dka-303 None 2230.09 True high