Static preview - Polars dataframes

itables.to_html_static_preview() returns the plain HTML table that to_html_datatable() shows by default, ahead of the interactive table - see Static preview for why, and when, this is shown instead. This page shows it for each of our test Polars dataframes; see Polars dataframes for the same dataframes rendered as interactive tables.

from IPython.display import HTML, display

import itables

dict_of_test_dfs = itables.sample_polars_dfs.get_dict_of_test_dfs()

empty

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["empty"])))

ⓘ

No rows

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["no_rows"])))

ⓘa
f64

bool

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["bool"])))

ⓘa	b	c	d
bool	bool	bool	bool
True	True	False	False
True	False	True	False

Nullable boolean

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["nullable_boolean"])))

ⓘa	b	c	d
bool	bool	bool	bool
True	True	False
True	False		False
	False	True	False

int

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["int"])))

ⓘa	b	c	d	e
i64	i64	i64	i64	i64
-1	2	-3	4	-5
6	-7	8	-9	10

Nullable integer

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["nullable_int"])))

ⓘa	b	c
i64	i64	i64
-1	2	-3
4	-5	6
	7

float

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["float"])))

ⓘint	inf	nan	math	unsorted
f64	f64	f64	f64	f64
0.0	inf	NaN	3.141593	100.0
1.0	-inf	NaN	2.718282	NaN
2.0	inf	NaN	3.141593	NaN
3.0	-inf	NaN	2.718282	20.0
4.0	inf	NaN	3.141593	3.141593
5.0	-inf	NaN	2.718282	2.718282
6.0	inf	NaN	3.141593	0.0
7.0	-inf	NaN	2.718282	-0.0
8.0	inf	NaN	3.141593	inf
9.0	-inf	NaN	2.718282	-inf

float_types

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["float_types"])))

ⓘfloat16	float32	float64	decimal
f16	f32	f64	decimal[10,6]
1.0	1.0	1.0	1.000000
0.0	0.0	0.0	0.000000
3.140625	3.141593	3.141593	3.000000
NaN	NaN	NaN	null
inf	inf	inf	null
-inf	-inf	-inf	null

str

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["str"])))

ⓘtext_column	very_long_text_column
str	str
some	a very very very very very very very very very very very very long text
text	a very very very very very very very very very very very very long text

time

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["time"])))

ⓘdatetime	timestamp	timedelta
datetime[μs]	datetime[μs]	duration[μs]
2000-01-01 00:00:00	null	2d
2001-01-01 00:00:00	2000-01-01 18:55:33	50s
null	2001-01-01 18:55:55.456654	null

date_range

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["date_range"])))

ⓘtimestamps
datetime[μs]
2026-07-19 22:58:15.323860
2026-07-19 22:58:16.323860
2026-07-19 22:58:17.323860
2026-07-19 22:58:18.323860
2026-07-19 22:58:19.323860

ordered_categories

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["ordered_categories"])))

ⓘint	category
i64	enum
0	first
1	second
2	third
3	fourth

object

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["object"])))

ⓘdict	list
struct[1]	list[str]
{1}	["a"]
{null}	["1", "2"]

countries

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["countries"])))

ⓘiso2Code	region	country	capital	longitude	latitude
str	str	str	str	f64	f64
AW	Latin America & Caribbean	Aruba	Oranjestad	-70.0167	12.5167
AF	South Asia	Afghanistan	Kabul	69.1761	34.5228
AO	Sub-Saharan Africa	Angola	Luanda	13.242	-8.81155
AL	Europe & Central Asia	Albania	Tirane	19.8172	41.3317
AD	Europe & Central Asia	Andorra	Andorra la Vella	1.5218	42.5075
AE	Middle East & North Africa	United Arab Emirates	Abu Dhabi	54.3705	24.4764
AR	Latin America & Caribbean	Argentina	Buenos Aires	-58.4173	-34.6118
AM	Europe & Central Asia	Armenia	Yerevan	44.509	40.1596
AS	East Asia & Pacific	American Samoa	Pago Pago	-170.691	-14.2846
AG	Latin America & Caribbean	Antigua and Barbuda	Saint John's	-61.8456	17.1175
(198 more rows not shown)

int_float_str

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["int_float_str"])))

ⓘint	float	str
i64	f64	str
0	0.5	a
1	1.5	b
2	2.5	c
3	3.5	d
4	4.5	e
5	5.5	f
6	6.5	g
7	7.5	h
8	8.5	i
9	9.5	j
(90 more rows not shown)

wide

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["wide"])))

ⓘcolumn_0	column_1	column_2	column_3	column_4	column_5	column_6	column_7	column_8	column_9	column_10	column_11	column_12	column_13	column_14	column_15	column_16	column_17	column_18	column_19	column_20	column_21	column_22	column_23	column_24	column_25	column_26	column_27	column_28	column_29	column_30	column_31	column_32	column_33	column_34	column_35	column_36	column_37	column_38	column_39	column_40	column_41	column_42	column_43	column_44	column_55	column_56	column_57	column_58	column_59	column_60	column_61	column_62	column_63	column_64	column_65	column_66	column_67	column_68	column_69	column_70	column_71	column_72	column_73	column_74	column_75	column_76	column_77	column_78	column_79	column_80	column_81	column_82	column_83	column_84	column_85	column_86	column_87	column_88	column_89	column_90	column_91	column_92	column_93	column_94	column_95	column_96	column_97	column_98	column_99
f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64	f64
0.0	0.01	0.02	0.03	0.04	0.05	0.06	0.07	0.08	0.09	0.1	0.11	0.12	0.13	0.14	0.15	0.16	0.17	0.18	0.19	0.2	0.21	0.22	0.23	0.24	0.25	0.26	0.27	0.28	0.29	0.3	0.31	0.32	0.33	0.34	0.35	0.36	0.37	0.38	0.39	0.4	0.41	0.42	0.43	0.44	0.55	0.56	0.57	0.58	0.59	0.6	0.61	0.62	0.63	0.64	0.65	0.66	0.67	0.68	0.69	0.7	0.71	0.72	0.73	0.74	0.75	0.76	0.77	0.78	0.79	0.8	0.81	0.82	0.83	0.84	0.85	0.86	0.87	0.88	0.89	0.9	0.91	0.92	0.93	0.94	0.95	0.96	0.97	0.98	0.99
0.0001	0.0101	0.0201	0.0301	0.0401	0.0501	0.0601	0.0701	0.0801	0.0901	0.1001	0.1101	0.1201	0.1301	0.1401	0.1501	0.1601	0.1701	0.1801	0.1901	0.2001	0.2101	0.2201	0.2301	0.2401	0.2501	0.2601	0.2701	0.2801	0.2901	0.3001	0.3101	0.3201	0.3301	0.3401	0.3501	0.3601	0.3701	0.3801	0.3901	0.4001	0.4101	0.4201	0.4301	0.4401	0.5501	0.5601	0.5701	0.5801	0.5901	0.6001	0.6101	0.6201	0.6301	0.6401	0.6501	0.6601	0.6701	0.6801	0.6901	0.7001	0.7101	0.7201	0.7301	0.7401	0.7501	0.7601	0.7701	0.7801	0.7901	0.8001	0.8101	0.8201	0.8301	0.8401	0.8501	0.8601	0.8701	0.8801	0.8901	0.9001	0.9101	0.9201	0.9301	0.9401	0.9501	0.9601	0.9701	0.9801	0.9901
0.0002	0.0102	0.0202	0.0302	0.0402	0.0502	0.0602	0.0702	0.0802	0.0902	0.1002	0.1102	0.1202	0.1302	0.1402	0.1502	0.1602	0.1702	0.1802	0.1902	0.2002	0.2102	0.2202	0.2302	0.2402	0.2502	0.2602	0.2702	0.2802	0.2902	0.3002	0.3102	0.3202	0.3302	0.3402	0.3502	0.3602	0.3702	0.3802	0.3902	0.4002	0.4102	0.4202	0.4302	0.4402	0.5502	0.5602	0.5702	0.5802	0.5902	0.6002	0.6102	0.6202	0.6302	0.6402	0.6502	0.6602	0.6702	0.6802	0.6902	0.7002	0.7102	0.7202	0.7302	0.7402	0.7502	0.7602	0.7702	0.7802	0.7902	0.8002	0.8102	0.8202	0.8302	0.8402	0.8502	0.8602	0.8702	0.8802	0.8902	0.9002	0.9102	0.9202	0.9302	0.9402	0.9502	0.9602	0.9702	0.9802	0.9902
0.0003	0.0103	0.0203	0.0303	0.0403	0.0503	0.0603	0.0703	0.0803	0.0903	0.1003	0.1103	0.1203	0.1303	0.1403	0.1503	0.1603	0.1703	0.1803	0.1903	0.2003	0.2103	0.2203	0.2303	0.2403	0.2503	0.2603	0.2703	0.2803	0.2903	0.3003	0.3103	0.3203	0.3303	0.3403	0.3503	0.3603	0.3703	0.3803	0.3903	0.4003	0.4103	0.4203	0.4303	0.4403	0.5503	0.5603	0.5703	0.5803	0.5903	0.6003	0.6103	0.6203	0.6303	0.6403	0.6503	0.6603	0.6703	0.6803	0.6903	0.7003	0.7103	0.7203	0.7303	0.7403	0.7503	0.7603	0.7703	0.7803	0.7903	0.8003	0.8103	0.8203	0.8303	0.8403	0.8503	0.8603	0.8703	0.8803	0.8903	0.9003	0.9103	0.9203	0.9303	0.9403	0.9503	0.9603	0.9703	0.9803	0.9903
0.0004	0.0104	0.0204	0.0304	0.0404	0.0504	0.0604	0.0704	0.0804	0.0904	0.1004	0.1104	0.1204	0.1304	0.1404	0.1504	0.1604	0.1704	0.1804	0.1904	0.2004	0.2104	0.2204	0.2304	0.2404	0.2504	0.2604	0.2704	0.2804	0.2904	0.3004	0.3104	0.3204	0.3304	0.3404	0.3504	0.3604	0.3704	0.3804	0.3904	0.4004	0.4104	0.4204	0.4304	0.4404	0.5504	0.5604	0.5704	0.5804	0.5904	0.6004	0.6104	0.6204	0.6304	0.6404	0.6504	0.6604	0.6704	0.6804	0.6904	0.7004	0.7104	0.7204	0.7304	0.7404	0.7504	0.7604	0.7704	0.7804	0.7904	0.8004	0.8104	0.8204	0.8304	0.8404	0.8504	0.8604	0.8704	0.8804	0.8904	0.9004	0.9104	0.9204	0.9304	0.9404	0.9504	0.9604	0.9704	0.9804	0.9904
0.0005	0.0105	0.0205	0.0305	0.0405	0.0505	0.0605	0.0705	0.0805	0.0905	0.1005	0.1105	0.1205	0.1305	0.1405	0.1505	0.1605	0.1705	0.1805	0.1905	0.2005	0.2105	0.2205	0.2305	0.2405	0.2505	0.2605	0.2705	0.2805	0.2905	0.3005	0.3105	0.3205	0.3305	0.3405	0.3505	0.3605	0.3705	0.3805	0.3905	0.4005	0.4105	0.4205	0.4305	0.4405	0.5505	0.5605	0.5705	0.5805	0.5905	0.6005	0.6105	0.6205	0.6305	0.6405	0.6505	0.6605	0.6705	0.6805	0.6905	0.7005	0.7105	0.7205	0.7305	0.7405	0.7505	0.7605	0.7705	0.7805	0.7905	0.8005	0.8105	0.8205	0.8305	0.8405	0.8505	0.8605	0.8705	0.8805	0.8905	0.9005	0.9105	0.9205	0.9305	0.9405	0.9505	0.9605	0.9705	0.9805	0.9905
0.0006	0.0106	0.0206	0.0306	0.0406	0.0506	0.0606	0.0706	0.0806	0.0906	0.1006	0.1106	0.1206	0.1306	0.1406	0.1506	0.1606	0.1706	0.1806	0.1906	0.2006	0.2106	0.2206	0.2306	0.2406	0.2506	0.2606	0.2706	0.2806	0.2906	0.3006	0.3106	0.3206	0.3306	0.3406	0.3506	0.3606	0.3706	0.3806	0.3906	0.4006	0.4106	0.4206	0.4306	0.4406	0.5506	0.5606	0.5706	0.5806	0.5906	0.6006	0.6106	0.6206	0.6306	0.6406	0.6506	0.6606	0.6706	0.6806	0.6906	0.7006	0.7106	0.7206	0.7306	0.7406	0.7506	0.7606	0.7706	0.7806	0.7906	0.8006	0.8106	0.8206	0.8306	0.8406	0.8506	0.8606	0.8706	0.8806	0.8906	0.9006	0.9106	0.9206	0.9306	0.9406	0.9506	0.9606	0.9706	0.9806	0.9906
0.0007	0.0107	0.0207	0.0307	0.0407	0.0507	0.0607	0.0707	0.0807	0.0907	0.1007	0.1107	0.1207	0.1307	0.1407	0.1507	0.1607	0.1707	0.1807	0.1907	0.2007	0.2107	0.2207	0.2307	0.2407	0.2507	0.2607	0.2707	0.2807	0.2907	0.3007	0.3107	0.3207	0.3307	0.3407	0.3507	0.3607	0.3707	0.3807	0.3907	0.4007	0.4107	0.4207	0.4307	0.4407	0.5507	0.5607	0.5707	0.5807	0.5907	0.6007	0.6107	0.6207	0.6307	0.6407	0.6507	0.6607	0.6707	0.6807	0.6907	0.7007	0.7107	0.7207	0.7307	0.7407	0.7507	0.7607	0.7707	0.7807	0.7907	0.8007	0.8107	0.8207	0.8307	0.8407	0.8507	0.8607	0.8707	0.8807	0.8907	0.9007	0.9107	0.9207	0.9307	0.9407	0.9507	0.9607	0.9707	0.9807	0.9907
0.0008	0.0108	0.0208	0.0308	0.0408	0.0508	0.0608	0.0708	0.0808	0.0908	0.1008	0.1108	0.1208	0.1308	0.1408	0.1508	0.1608	0.1708	0.1808	0.1908	0.2008	0.2108	0.2208	0.2308	0.2408	0.2508	0.2608	0.2708	0.2808	0.2908	0.3008	0.3108	0.3208	0.3308	0.3408	0.3508	0.3608	0.3708	0.3808	0.3908	0.4008	0.4108	0.4208	0.4308	0.4408	0.5508	0.5608	0.5708	0.5808	0.5908	0.6008	0.6108	0.6208	0.6308	0.6408	0.6508	0.6608	0.6708	0.6808	0.6908	0.7008	0.7108	0.7208	0.7308	0.7408	0.7508	0.7608	0.7708	0.7808	0.7908	0.8008	0.8108	0.8208	0.8308	0.8408	0.8508	0.8608	0.8708	0.8808	0.8908	0.9008	0.9108	0.9208	0.9308	0.9408	0.9508	0.9608	0.9708	0.9808	0.9908
0.0009	0.0109	0.0209	0.0309	0.0409	0.0509	0.0609	0.0709	0.0809	0.0909	0.1009	0.1109	0.1209	0.1309	0.1409	0.1509	0.1609	0.1709	0.1809	0.1909	0.2009	0.2109	0.2209	0.2309	0.2409	0.2509	0.2609	0.2709	0.2809	0.2909	0.3009	0.3109	0.3209	0.3309	0.3409	0.3509	0.3609	0.3709	0.3809	0.3909	0.4009	0.4109	0.4209	0.4309	0.4409	0.5509	0.5609	0.5709	0.5809	0.5909	0.6009	0.6109	0.6209	0.6309	0.6409	0.6509	0.6609	0.6709	0.6809	0.6909	0.7009	0.7109	0.7209	0.7309	0.7409	0.7509	0.7609	0.7709	0.7809	0.7909	0.8009	0.8109	0.8209	0.8309	0.8409	0.8509	0.8609	0.8709	0.8809	0.8909	0.9009	0.9109	0.9209	0.9309	0.9409	0.9509	0.9609	0.9709	0.9809	0.9909
(90 more rows and 10 more columns not shown)

long_column_names

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["long_column_names"])))

ⓘshort name	very very very very very long name	very very very very very very very very very very long name	very very very very very very very very very very very very very very very very very very very very long name	nospaceinveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryverylongname	nospaceinveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryveryverylongname
i64	i64	i64	i64	i64	i64
0	0	1	2	3	3
0	0	1	2	3	3
0	0	1	2	3	3
0	0	1	2	3	3
0	0	1	2	3	3

big_integers

display(HTML(itables.to_html_static_preview(dict_of_test_dfs["big_integers"])))

ⓘbigint	expected
i64	str
-1234567890123456789	-1234567890123456789
1234567890123456789	1234567890123456789
2345678901234567890	2345678901234567890
3456789012345678901	3456789012345678901