Fixed Columns

FixedColumn is an extension that let you fix some columns as you scroll horizontally.

import string

import numpy as np
import pandas as pd

import itables

itables.init_notebook_mode()

wide_df = pd.DataFrame(
    {
        letter: np.random.normal(size=100)
        for letter in string.ascii_lowercase + string.ascii_uppercase
    }
)

itables.show(
    wide_df,
    fixedColumns={"start": 1, "end": 2},
    scrollX=True,
)

ⓘa	b	c	d	e	f	g	h	i	j	k	l	m	n	o	p	q	r	s	t	u	v	w	x	y	z	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O	P	Q	R	S	T	U	V	W	X	Y	Z
-1.430597	0.392343	0.067218	0.325670	0.597356	1.122554	0.327590	-0.484416	-0.321771	-1.636836	-2.047436	1.290101	-0.439084	-1.248044	-1.199432	-0.439247	-0.507400	1.149090	-0.296607	-0.144961	0.282363	-0.212212	-1.072092	-0.873172	-0.837994	-0.002087	1.035952	-0.683487	-0.426590	1.951062	0.067628	0.368946	1.312158	1.301807	1.394923	-0.158365	1.848122	0.360428	-1.882461	-1.474925	0.936527	-1.007793	-1.294739	-2.279520	-0.109618	0.651784	0.745459	-1.307595	-0.499525	1.196315	1.010476	-1.112469
1.294946	-0.639050	-1.165260	0.105220	0.297448	1.813762	0.141932	-0.641417	-0.461389	1.249334	-0.205728	-0.650073	0.425849	-0.816300	0.773066	-0.685750	0.928392	0.341618	-0.331505	0.344691	-1.658801	0.147945	-0.537600	-0.144173	2.287726	-0.246903	0.480368	0.620883	0.322625	-0.031927	-0.363065	-1.278397	-0.694252	-0.616983	1.227338	-0.819652	-0.135281	-0.393293	-0.738313	-0.499658	1.737272	0.022739	-0.960810	1.067234	0.605083	-0.818359	0.238839	0.026046	-1.352000	0.360016	-0.812583	0.703939
0.796673	-0.606934	-1.104396	-1.034470	-0.904307	1.211915	-0.522249	-0.652797	0.200976	1.361861	1.311958	-0.940878	-0.648209	-0.025982	1.815958	-0.512635	-0.686353	-0.469385	-0.281182	0.178076	-0.885779	-0.550090	-0.081507	0.731063	0.721069	-0.988401	0.047168	0.011808	1.392150	-1.577307	2.401437	-2.111728	-0.982505	0.348052	-0.797792	0.296999	0.831015	-0.733721	-0.870051	0.510837	0.069007	0.452169	0.089746	-1.273715	3.001563	0.264998	0.529505	-0.062820	0.539325	0.927771	0.877535	0.871891
1.208934	0.971451	-1.643702	-0.441877	-1.161535	-1.147561	-0.621525	0.363944	0.328199	0.140947	-0.020019	0.821578	0.225147	-1.334162	-0.390654	-0.757507	0.368118	0.840582	-0.733893	-0.189747	0.553133	-0.773015	-2.424492	-0.038794	-0.818884	-1.390789	-0.784000	-1.927238	0.596476	-0.213647	-2.122319	1.179034	-0.398986	0.629366	0.873562	0.372477	-1.618782	-0.314846	-0.741570	-0.194428	-1.461057	-1.569402	1.065460	0.974521	-0.183132	-0.272960	0.310940	1.648371	0.315720	1.575920	-0.255695	0.445727
-0.067253	1.484078	2.456694	-0.129096	-0.280796	-0.576130	-1.253837	-0.626172	0.370587	-0.956313	1.213548	0.249529	-2.529624	-1.038209	-1.485700	-0.308410	-0.597491	0.863572	-0.613639	0.509042	-1.315146	0.125660	-1.061012	-0.089836	1.001005	1.388238	-0.260237	0.199223	-1.345848	1.080733	2.501492	0.279821	0.458335	-1.627485	-0.244819	-1.314579	0.183342	-2.802846	-0.033311	-0.184130	0.502336	1.681837	-0.950563	-0.003729	1.348843	-1.264323	-0.546526	-1.791042	1.301416	0.298973	0.070827	0.620706
-0.927190	-0.109226	-0.156966	0.001658	-1.109085	0.922847	0.193819	-1.615510	-0.533588	2.003077	-2.889212	-0.298640	2.970652	0.461480	-0.128075	0.129847	0.545152	1.599068	0.259680	-1.322142	0.865145	1.565151	-0.755914	0.351929	-1.003992	0.501774	0.043611	-1.590548	-1.270927	0.728940	-0.644315	0.666319	-1.971531	-0.279614	-1.107183	-0.119825	1.016738	2.581360	0.647855	0.288468	-0.049136	1.054574	0.645927	0.877659	0.629888	-0.431473	-1.174088	0.539141	-1.791259	-1.248528	0.596921	-0.266195
-1.847176	-0.097301	-0.631405	-0.364813	-1.618908	-0.551749	0.771255	0.327179	-1.346863	-0.432826	0.847195	-0.509804	-0.687067	-0.583657	-0.081665	-2.003909	-0.159212	1.179616	1.827579	0.445940	-0.107341	-1.516355	2.033336	0.428089	0.551664	-0.740579	-1.578702	-0.062079	-0.439739	-1.020373	-0.194102	-0.719048	-0.092238	0.451646	-1.360805	0.374356	0.547477	-1.257194	-0.087741	2.882114	0.209580	1.143566	0.512331	2.591699	-0.082009	-0.154735	-0.803407	-0.492500	-0.615755	1.074075	-0.219642	-0.514249
1.275310	1.018046	0.810138	-0.576294	-1.254923	1.746171	-1.434751	-0.268635	0.016023	-0.265812	-0.571948	0.169214	-0.138170	-0.717770	-0.861238	0.606274	1.701016	-0.552167	-0.576471	0.289980	1.475029	0.018244	-2.548616	0.769685	0.580773	-0.993734	0.914525	1.068090	-0.378184	-0.702243	-0.489735	-0.692222	-0.616378	-0.148199	-0.556947	0.332773	0.278657	0.045355	0.505682	-0.333452	0.457528	0.943502	-0.232483	-1.656465	1.453702	-0.035539	-0.000598	2.407908	1.097857	-0.448360	-1.534311	-0.971635
-2.258483	-0.848217	-0.479129	-0.560789	-0.969844	-1.037464	-0.671043	-0.527983	0.512108	0.542802	-1.406625	1.647751	-0.702085	0.997864	-0.413572	0.950931	0.875843	1.054358	-1.234549	0.225352	-1.692561	0.704347	-0.040016	-0.919721	-0.214460	-1.364025	0.251445	-0.399252	-1.907047	-0.364744	0.527156	-0.481574	-0.511458	0.158139	-0.959302	1.783605	-0.027065	-0.080221	0.733554	1.043064	1.065284	-0.122334	-0.337299	-1.114190	-1.454444	-1.362469	2.095334	-0.313048	-2.117286	0.471317	-0.906141	-0.854336
-0.989801	0.034722	0.229976	-0.908876	-0.796217	-0.883608	-0.237115	0.417953	0.847498	0.588108	0.663297	0.901534	-0.160759	0.015189	-0.834285	0.063462	-0.496617	-0.532970	0.139321	-0.179043	1.154608	2.657661	0.332481	0.647616	-0.380672	0.558656	-0.182027	1.940201	-0.642938	0.127042	1.675365	0.349667	0.517179	-1.439778	-0.956873	0.031256	1.481180	-1.255415	-0.077731	1.000166	0.595150	-0.065164	1.936063	-1.122039	-0.829662	-1.058838	-1.177373	-0.158317	0.674363	0.778311	-0.133303	-1.488975
(90 more rows not shown)