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
0.406872	-0.651086	0.130371	0.166844	0.374770	-0.743012	-0.390131	-2.224804	-0.446834	1.008925	1.514548	-1.506286	-0.136528	1.146386	-1.547524	0.126158	0.646643	1.670312	1.776452	-1.759697	-0.433922	0.674189	0.626675	-2.094562	0.558948	0.180587	-2.035604	0.391975	0.203379	-0.545260	-0.310289	-1.150268	-0.216822	0.510432	0.241017	-0.192312	-0.511329	-1.537510	0.373010	0.807023	0.642305	-1.143432	1.345476	0.397327	1.170377	-0.055183	-0.250407	-0.814131	-0.679505	-0.152586	0.557802	0.195892
-0.376967	0.594893	-0.698854	1.334459	0.506671	0.350810	-0.674555	0.441048	-0.990121	0.660502	1.144238	0.659931	0.022319	-0.424816	-1.162699	0.062375	-2.095152	-1.260384	0.299183	1.003941	0.993425	1.285943	1.697507	0.621870	-1.378720	-0.038783	-0.637833	0.755688	-0.419892	-0.468416	1.908237	0.622316	1.650505	-1.674420	0.212964	-0.471361	-0.852307	-0.846904	-0.562754	-0.907110	-0.840550	-0.452560	-1.914215	1.439048	-0.258623	0.069227	-0.060397	0.916242	-0.238092	-0.753226	1.289758	0.381184
0.806301	-0.291233	-0.859985	-1.748303	1.766861	-0.841385	1.501183	-0.394177	-0.183007	-0.872453	0.673907	-1.624727	-0.883126	-1.365657	0.659186	-1.652408	-1.354310	-1.923270	-1.561613	0.574599	-0.049896	-0.417044	-0.788955	1.069332	0.185856	-2.142303	-1.825488	0.059956	1.138579	0.514843	0.826766	0.530292	0.306075	-0.234099	0.677997	-0.390787	-0.173065	-1.036476	-0.810371	1.553234	-0.119689	1.251816	-1.093222	0.319649	-2.030601	0.467811	0.550876	1.629678	-1.291158	0.743197	0.266880	0.571582
0.780782	0.459393	-0.105987	-0.244730	1.730709	0.180705	0.169390	-0.208181	0.575827	-1.016275	0.659732	-0.172704	2.215133	3.444608	2.251094	-0.017215	0.475267	0.592303	2.015398	0.434063	-2.231681	-0.631702	0.365962	-0.256765	0.215882	0.049712	1.303047	0.040108	0.576397	0.748831	0.582154	-0.443746	-0.988704	-0.857327	0.773692	1.119280	1.058773	-0.820132	-1.469787	0.796076	0.637430	-0.727942	0.047959	1.284113	-1.412209	-0.679706	-0.771361	1.437731	0.285319	-0.522861	1.719970	-0.473372
0.574213	0.915292	0.356520	0.805835	1.062174	-0.231166	-1.594278	-0.376640	0.352268	0.481057	1.335829	0.470745	-0.426114	0.065144	-1.654846	0.034606	-0.982427	0.544912	-0.429816	0.298172	-0.325401	1.789155	-0.764011	1.198045	-0.385498	0.267356	0.135861	0.122559	1.801639	0.554356	-1.141975	0.309660	-0.099576	-0.386082	1.616156	-0.209196	-1.041534	-0.418906	-1.247268	1.519790	1.263456	0.427724	-0.317649	0.005688	0.554213	-0.731139	0.028959	-0.345038	0.224667	-0.430010	0.806673	-0.134494
-0.188774	0.768973	0.475889	0.412210	-1.458923	1.083301	-0.052757	-1.222863	-0.336876	-1.121622	0.975898	-0.995060	-0.743677	-1.612226	0.196862	0.758335	1.681737	0.476776	-0.219157	-0.471229	-1.157998	0.158197	0.235821	-1.215731	-0.739291	-0.464909	0.101786	-0.686885	0.814066	1.668521	-0.945120	-0.894700	0.031122	0.806157	0.676713	-1.120040	-0.172691	-1.397590	1.020266	0.186059	1.443822	-0.220938	-0.562193	-0.707825	0.724607	-1.084390	0.155616	0.411939	-0.669314	0.365787	-0.937075	-0.094423
0.139837	-2.251029	0.046895	0.036063	-2.089474	-0.088906	0.001047	-0.885780	-0.153084	-0.488439	-1.857463	0.614091	-0.247877	-0.600509	1.902570	0.508419	-0.078022	-0.109003	0.411911	-0.210334	-1.016579	-1.090798	-1.566879	-0.472807	1.004954	0.376197	0.540718	-0.067919	1.372645	0.175127	0.209802	0.832361	-1.095762	-0.970334	-0.712250	-0.520954	-0.533736	1.019717	0.039000	0.665631	0.498282	-0.334304	-0.288208	-1.083010	0.991242	-0.699296	-0.654148	0.651919	0.678688	0.156798	-0.078311	-1.966012
0.472078	1.621684	-1.060410	-0.589657	-0.279422	-0.236893	-0.387151	0.963667	0.882491	1.477498	-1.246618	0.841798	0.197559	-1.292136	-1.302856	0.922995	0.335384	-0.922632	-0.766291	-0.301974	1.880796	-0.147597	0.028834	0.436578	0.707637	0.656354	0.591784	-0.383468	-0.488737	0.400636	-0.257745	1.839644	1.181598	-0.586692	-0.977414	-0.832852	-0.829238	-2.242692	0.264366	-1.209824	-0.864732	-0.532257	1.181791	-0.655302	0.962776	0.025365	0.217033	-0.079844	0.670494	-1.498654	-1.355252	0.197905
-1.178222	-0.380767	0.003582	-0.182439	1.294436	-0.442281	-0.806617	-2.182571	0.433969	0.332360	-0.822776	1.346907	1.049165	-0.907135	0.679548	0.639905	0.779428	-0.283938	0.872395	0.068742	0.368571	1.820720	-0.156840	0.601644	-1.041333	1.274157	0.706785	0.465039	0.586860	0.703122	2.351820	-1.648023	0.276475	1.762069	0.603466	1.740197	-1.613780	2.026970	-0.832081	-0.688233	0.254557	0.687234	-1.029298	0.319410	-1.132433	-0.420850	-0.083555	-0.207189	-0.072451	-1.966430	-0.442077	-0.994518
-0.584608	0.818441	-0.742834	-0.841447	1.316922	-0.755693	-1.072495	-2.383290	1.660416	0.264504	0.368462	0.657433	-0.482365	0.294787	-0.125793	-0.004543	0.428203	-0.465699	-0.573288	-1.074173	-1.766798	-0.098190	-0.625186	-1.011316	0.508918	-1.015092	0.505454	-0.762534	0.642847	-0.210369	-0.930425	-1.478723	1.182178	0.885990	-0.309714	-0.304744	0.244593	0.588365	0.536315	1.532374	-0.032320	0.777311	0.189025	0.522090	0.248075	-0.082581	0.314166	-0.597374	1.598173	-0.326836	-1.341275	-0.228002
(90 more rows not shown)