Static preview - Pandas 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 Pandas dataframes; see Pandas dataframes for the same dataframes rendered as interactive tables.

from IPython.display import HTML, display

import itables

dict_of_test_dfs = itables.sample_pandas_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

No columns

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

ⓘ
a

No rows one column

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

ⓘ	a

No columns one row

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

ⓘ
a

bool

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

ⓘa	b	c	d
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
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
-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
-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
0.0	inf	NaN	3.141593	100.000000
1.0	-inf	NaN	2.718282	NaN
2.0	inf	NaN	3.141593	NaN
3.0	-inf	NaN	2.718282	20.000000
4.0	inf	NaN	3.141593	3.141593
5.0	-inf	NaN	2.718282	2.718282
6.0	inf	NaN	3.141593	0.000000
7.0	-inf	NaN	2.718282	-0.000000
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"])))

ⓘfloat32	float64
1.000000	1.000000
0.000000	0.000000
3.141593	3.141593
NaN	NaN
inf	inf
-inf	-inf

str

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

ⓘtext_column	very_long_text_column
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
2000-01-01	NaT	2 days 00:00:00
2001-01-01	2000-01-01 18:55:33	0 days 00:00:50
NaT	2001-01-01 18:55:55.456654-04:56	NaT

date_range

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

ⓘtimestamps
2026-07-19 22:58:13.616768
2026-07-19 22:58:14.616768
2026-07-19 22:58:15.616768
2026-07-19 22:58:16.616768
2026-07-19 22:58:17.616768

ordered_categories

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

ⓘ	int
categorical_index
first	0
second	1
third	2
fourth	3

ordered_categories_in_multiindex

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

ⓘ		int
categorical_index	integer_index
first	0	0
second	1	1
third	2	2
fourth	3	3

object

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

ⓘdict	list
{'a': 1}	[a]
{'b': 2, 'c': 3}	[1, 2]

multiindex

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

ⓘ		A		B
		1	2	1	2
C	3	0	1	2	3
C	4	4	5	6	7
D	3	8	9	10	11
D	4	12	13	14	15

countries

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

ⓘ	region	country	capital	longitude	latitude
code
AW	Latin America & Caribbean	Aruba	Oranjestad	-70.016700	12.516700
AF	South Asia	Afghanistan	Kabul	69.176100	34.522800
AO	Sub-Saharan Africa	Angola	Luanda	13.242000	-8.811550
AL	Europe & Central Asia	Albania	Tirane	19.817200	41.331700
AD	Europe & Central Asia	Andorra	Andorra la Vella	1.521800	42.507500
AE	Middle East & North Africa	United Arab Emirates	Abu Dhabi	54.370500	24.476400
AR	Latin America & Caribbean	Argentina	Buenos Aires	-58.417300	-34.611800
AM	Europe & Central Asia	Armenia	Yerevan	44.509000	40.159600
AS	East Asia & Pacific	American Samoa	Pago Pago	-170.691000	-14.284600
AG	Latin America & Caribbean	Antigua and Barbuda	Saint John's	-61.845600	17.117500
(198 more rows not shown)

capital

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

ⓘ		capital
region	country
Latin America & Caribbean	Aruba	Oranjestad
South Asia	Afghanistan	Kabul
Sub-Saharan Africa	Angola	Luanda
Europe & Central Asia	Albania	Tirane
Europe & Central Asia	Andorra	Andorra la Vella
Middle East & North Africa	United Arab Emirates	Abu Dhabi
Latin America & Caribbean	Argentina	Buenos Aires
Europe & Central Asia	Armenia	Yerevan
East Asia & Pacific	American Samoa	Pago Pago
Latin America & Caribbean	Antigua and Barbuda	Saint John's
(198 more rows not shown)

complex_index

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

ⓘ	category	code	data	localisation
	detail	code	capital	longitude	latitude
region	country
Latin America & Caribbean	Aruba	AW	Oranjestad	-70.016700	12.516700
South Asia	Afghanistan	AF	Kabul	69.176100	34.522800
Sub-Saharan Africa	Angola	AO	Luanda	13.242000	-8.811550
Europe & Central Asia	Albania	AL	Tirane	19.817200	41.331700
Europe & Central Asia	Andorra	AD	Andorra la Vella	1.521800	42.507500
Middle East & North Africa	United Arab Emirates	AE	Abu Dhabi	54.370500	24.476400
Latin America & Caribbean	Argentina	AR	Buenos Aires	-58.417300	-34.611800
Europe & Central Asia	Armenia	AM	Yerevan	44.509000	40.159600
East Asia & Pacific	American Samoa	AS	Pago Pago	-170.691000	-14.284600
Latin America & Caribbean	Antigua and Barbuda	AG	Saint John's	-61.845600	17.117500
(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
0	5.000000	a
1	4.949495	b
2	4.898990	c
3	4.848485	d
4	4.797980	e
5	4.747475	f
6	4.696970	g
7	4.646465	h
8	4.595960	i
9	4.545455	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
row_0	0.000000	0.000100	0.000200	0.000300	0.000400	0.000500	0.000600	0.000700	0.000800	0.000900	0.001000	0.001100	0.001200	0.001300	0.001400	0.001500	0.001600	0.001700	0.001800	0.001900	0.002000	0.002100	0.002200	0.002300	0.002400	0.002500	0.002600	0.002700	0.002800	0.002900	0.003000	0.003100	0.003200	0.003300	0.003400	0.003500	0.003600	0.003700	0.003800	0.003900	0.004000	0.004100	0.004200	0.004300	0.004400	0.005501	0.005601	0.005701	0.005801	0.005901	0.006001	0.006101	0.006201	0.006301	0.006401	0.006501	0.006601	0.006701	0.006801	0.006901	0.007001	0.007101	0.007201	0.007301	0.007401	0.007501	0.007601	0.007701	0.007801	0.007901	0.008001	0.008101	0.008201	0.008301	0.008401	0.008501	0.008601	0.008701	0.008801	0.008901	0.009001	0.009101	0.009201	0.009301	0.009401	0.009501	0.009601	0.009701	0.009801	0.009901
row_1	0.010001	0.010101	0.010201	0.010301	0.010401	0.010501	0.010601	0.010701	0.010801	0.010901	0.011001	0.011101	0.011201	0.011301	0.011401	0.011501	0.011601	0.011701	0.011801	0.011901	0.012001	0.012101	0.012201	0.012301	0.012401	0.012501	0.012601	0.012701	0.012801	0.012901	0.013001	0.013101	0.013201	0.013301	0.013401	0.013501	0.013601	0.013701	0.013801	0.013901	0.014001	0.014101	0.014201	0.014301	0.014401	0.015502	0.015602	0.015702	0.015802	0.015902	0.016002	0.016102	0.016202	0.016302	0.016402	0.016502	0.016602	0.016702	0.016802	0.016902	0.017002	0.017102	0.017202	0.017302	0.017402	0.017502	0.017602	0.017702	0.017802	0.017902	0.018002	0.018102	0.018202	0.018302	0.018402	0.018502	0.018602	0.018702	0.018802	0.018902	0.019002	0.019102	0.019202	0.019302	0.019402	0.019502	0.019602	0.019702	0.019802	0.019902
row_2	0.020002	0.020102	0.020202	0.020302	0.020402	0.020502	0.020602	0.020702	0.020802	0.020902	0.021002	0.021102	0.021202	0.021302	0.021402	0.021502	0.021602	0.021702	0.021802	0.021902	0.022002	0.022102	0.022202	0.022302	0.022402	0.022502	0.022602	0.022702	0.022802	0.022902	0.023002	0.023102	0.023202	0.023302	0.023402	0.023502	0.023602	0.023702	0.023802	0.023902	0.024002	0.024102	0.024202	0.024302	0.024402	0.025503	0.025603	0.025703	0.025803	0.025903	0.026003	0.026103	0.026203	0.026303	0.026403	0.026503	0.026603	0.026703	0.026803	0.026903	0.027003	0.027103	0.027203	0.027303	0.027403	0.027503	0.027603	0.027703	0.027803	0.027903	0.028003	0.028103	0.028203	0.028303	0.028403	0.028503	0.028603	0.028703	0.028803	0.028903	0.029003	0.029103	0.029203	0.029303	0.029403	0.029503	0.029603	0.029703	0.029803	0.029903
row_3	0.030003	0.030103	0.030203	0.030303	0.030403	0.030503	0.030603	0.030703	0.030803	0.030903	0.031003	0.031103	0.031203	0.031303	0.031403	0.031503	0.031603	0.031703	0.031803	0.031903	0.032003	0.032103	0.032203	0.032303	0.032403	0.032503	0.032603	0.032703	0.032803	0.032903	0.033003	0.033103	0.033203	0.033303	0.033403	0.033503	0.033603	0.033703	0.033803	0.033903	0.034003	0.034103	0.034203	0.034303	0.034403	0.035504	0.035604	0.035704	0.035804	0.035904	0.036004	0.036104	0.036204	0.036304	0.036404	0.036504	0.036604	0.036704	0.036804	0.036904	0.037004	0.037104	0.037204	0.037304	0.037404	0.037504	0.037604	0.037704	0.037804	0.037904	0.038004	0.038104	0.038204	0.038304	0.038404	0.038504	0.038604	0.038704	0.038804	0.038904	0.039004	0.039104	0.039204	0.039304	0.039404	0.039504	0.039604	0.039704	0.039804	0.039904
row_4	0.040004	0.040104	0.040204	0.040304	0.040404	0.040504	0.040604	0.040704	0.040804	0.040904	0.041004	0.041104	0.041204	0.041304	0.041404	0.041504	0.041604	0.041704	0.041804	0.041904	0.042004	0.042104	0.042204	0.042304	0.042404	0.042504	0.042604	0.042704	0.042804	0.042904	0.043004	0.043104	0.043204	0.043304	0.043404	0.043504	0.043604	0.043704	0.043804	0.043904	0.044004	0.044104	0.044204	0.044304	0.044404	0.045505	0.045605	0.045705	0.045805	0.045905	0.046005	0.046105	0.046205	0.046305	0.046405	0.046505	0.046605	0.046705	0.046805	0.046905	0.047005	0.047105	0.047205	0.047305	0.047405	0.047505	0.047605	0.047705	0.047805	0.047905	0.048005	0.048105	0.048205	0.048305	0.048405	0.048505	0.048605	0.048705	0.048805	0.048905	0.049005	0.049105	0.049205	0.049305	0.049405	0.049505	0.049605	0.049705	0.049805	0.049905
row_5	0.050005	0.050105	0.050205	0.050305	0.050405	0.050505	0.050605	0.050705	0.050805	0.050905	0.051005	0.051105	0.051205	0.051305	0.051405	0.051505	0.051605	0.051705	0.051805	0.051905	0.052005	0.052105	0.052205	0.052305	0.052405	0.052505	0.052605	0.052705	0.052805	0.052905	0.053005	0.053105	0.053205	0.053305	0.053405	0.053505	0.053605	0.053705	0.053805	0.053905	0.054005	0.054105	0.054205	0.054305	0.054405	0.055506	0.055606	0.055706	0.055806	0.055906	0.056006	0.056106	0.056206	0.056306	0.056406	0.056506	0.056606	0.056706	0.056806	0.056906	0.057006	0.057106	0.057206	0.057306	0.057406	0.057506	0.057606	0.057706	0.057806	0.057906	0.058006	0.058106	0.058206	0.058306	0.058406	0.058506	0.058606	0.058706	0.058806	0.058906	0.059006	0.059106	0.059206	0.059306	0.059406	0.059506	0.059606	0.059706	0.059806	0.059906
row_6	0.060006	0.060106	0.060206	0.060306	0.060406	0.060506	0.060606	0.060706	0.060806	0.060906	0.061006	0.061106	0.061206	0.061306	0.061406	0.061506	0.061606	0.061706	0.061806	0.061906	0.062006	0.062106	0.062206	0.062306	0.062406	0.062506	0.062606	0.062706	0.062806	0.062906	0.063006	0.063106	0.063206	0.063306	0.063406	0.063506	0.063606	0.063706	0.063806	0.063906	0.064006	0.064106	0.064206	0.064306	0.064406	0.065507	0.065607	0.065707	0.065807	0.065907	0.066007	0.066107	0.066207	0.066307	0.066407	0.066507	0.066607	0.066707	0.066807	0.066907	0.067007	0.067107	0.067207	0.067307	0.067407	0.067507	0.067607	0.067707	0.067807	0.067907	0.068007	0.068107	0.068207	0.068307	0.068407	0.068507	0.068607	0.068707	0.068807	0.068907	0.069007	0.069107	0.069207	0.069307	0.069407	0.069507	0.069607	0.069707	0.069807	0.069907
row_7	0.070007	0.070107	0.070207	0.070307	0.070407	0.070507	0.070607	0.070707	0.070807	0.070907	0.071007	0.071107	0.071207	0.071307	0.071407	0.071507	0.071607	0.071707	0.071807	0.071907	0.072007	0.072107	0.072207	0.072307	0.072407	0.072507	0.072607	0.072707	0.072807	0.072907	0.073007	0.073107	0.073207	0.073307	0.073407	0.073507	0.073607	0.073707	0.073807	0.073907	0.074007	0.074107	0.074207	0.074307	0.074407	0.075508	0.075608	0.075708	0.075808	0.075908	0.076008	0.076108	0.076208	0.076308	0.076408	0.076508	0.076608	0.076708	0.076808	0.076908	0.077008	0.077108	0.077208	0.077308	0.077408	0.077508	0.077608	0.077708	0.077808	0.077908	0.078008	0.078108	0.078208	0.078308	0.078408	0.078508	0.078608	0.078708	0.078808	0.078908	0.079008	0.079108	0.079208	0.079308	0.079408	0.079508	0.079608	0.079708	0.079808	0.079908
row_8	0.080008	0.080108	0.080208	0.080308	0.080408	0.080508	0.080608	0.080708	0.080808	0.080908	0.081008	0.081108	0.081208	0.081308	0.081408	0.081508	0.081608	0.081708	0.081808	0.081908	0.082008	0.082108	0.082208	0.082308	0.082408	0.082508	0.082608	0.082708	0.082808	0.082908	0.083008	0.083108	0.083208	0.083308	0.083408	0.083508	0.083608	0.083708	0.083808	0.083908	0.084008	0.084108	0.084208	0.084308	0.084408	0.085509	0.085609	0.085709	0.085809	0.085909	0.086009	0.086109	0.086209	0.086309	0.086409	0.086509	0.086609	0.086709	0.086809	0.086909	0.087009	0.087109	0.087209	0.087309	0.087409	0.087509	0.087609	0.087709	0.087809	0.087909	0.088009	0.088109	0.088209	0.088309	0.088409	0.088509	0.088609	0.088709	0.088809	0.088909	0.089009	0.089109	0.089209	0.089309	0.089409	0.089509	0.089609	0.089709	0.089809	0.089909
row_9	0.090009	0.090109	0.090209	0.090309	0.090409	0.090509	0.090609	0.090709	0.090809	0.090909	0.091009	0.091109	0.091209	0.091309	0.091409	0.091509	0.091609	0.091709	0.091809	0.091909	0.092009	0.092109	0.092209	0.092309	0.092409	0.092509	0.092609	0.092709	0.092809	0.092909	0.093009	0.093109	0.093209	0.093309	0.093409	0.093509	0.093609	0.093709	0.093809	0.093909	0.094009	0.094109	0.094209	0.094309	0.094409	0.095510	0.095610	0.095710	0.095810	0.095910	0.096010	0.096110	0.096210	0.096310	0.096410	0.096510	0.096610	0.096710	0.096810	0.096910	0.097010	0.097110	0.097210	0.097310	0.097410	0.097510	0.097610	0.097710	0.097810	0.097910	0.098010	0.098110	0.098210	0.098310	0.098410	0.098510	0.098610	0.098710	0.098810	0.098910	0.099010	0.099110	0.099210	0.099310	0.099410	0.099510	0.099610	0.099710	0.099810	0.099910
(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
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

sorted_index

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

ⓘ	x	y
i
0	0.0	0.0
1	1.0	0.1
2	2.0	0.2

reverse_sorted_index

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

ⓘ	x	y
i
2	0.0	0.0
1	1.0	0.1
0	2.0	0.2

sorted_multiindex

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

ⓘ		x	y
i	j
0	3	0.0	0.0
1	4	1.0	0.1
2	5	2.0	0.2

unsorted_index

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

ⓘ	x	y
i
0	0.0	0.0
2	1.0	0.1
1	2.0	0.2

duplicated_columns

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

ⓘ		A	A
A	A
0	2	4	5
1	3	6	7

named_column_index

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

ⓘcolumns	a
	1

big_integers

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

ⓘbigint	expected
-1234567890123456789	-1234567890123456789
1234567890123456789	1234567890123456789
2345678901234567890	2345678901234567890
3456789012345678901	3456789012345678901