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
-0.638314	-0.305619	-1.144530	0.785687	-0.763102	0.529351	2.009879	-0.607017	1.349570	0.614702	-0.612991	0.246855	-1.075967	0.363100	-0.329815	0.835127	0.232108	-0.234688	1.031282	0.889539	-0.659175	1.107103	-0.831399	1.271171	0.654811	0.333260	1.636262	-0.679043	-0.439627	1.122890	0.860342	0.964968	-1.278953	-1.477290	-1.292260	0.980108	-0.857100	-0.003843	1.314136	-1.777742	0.363077	0.017712	-0.454473	-0.224891	-1.208778	-0.375739	-0.684276	0.733169	-0.867718	-1.366117	-1.601914	1.685772
0.319777	0.626883	0.106695	0.627762	-1.151120	-0.947136	-0.650990	-0.613087	1.704973	0.008727	-0.042786	-0.620470	-1.036599	0.036262	-0.429979	0.212804	0.890666	1.030149	-1.320508	-0.922347	1.248538	-0.141940	0.830402	0.853741	-1.769786	-0.256273	-1.805755	0.369851	0.262197	1.135447	0.393165	-0.157668	1.236861	0.425866	-1.323643	-0.251283	-1.294066	0.572883	0.273342	-0.457255	0.008380	-0.034153	-3.207227	0.236825	-1.767227	2.513680	-0.191370	-0.564993	-0.889838	0.992764	0.020303	0.548382
0.365676	-0.622186	0.514444	-1.046396	1.035038	1.635578	-1.079778	1.037138	0.606919	-0.144058	-0.164141	-0.544550	1.868509	0.466136	0.693613	-0.271708	1.337919	0.168481	-0.169120	1.492016	0.180241	0.747399	-0.971670	-0.470223	-1.447943	-1.259170	-1.278926	0.970893	0.732822	-0.798198	0.240639	-0.885694	-0.370476	-0.223171	0.745106	0.353349	0.652160	-0.666371	-2.038401	-0.888253	-0.679657	-1.213446	0.693413	-0.066964	0.594553	1.774888	0.188444	0.425399	1.032401	-0.372326	0.724691	0.031332
-0.005190	-0.717062	-1.701873	-1.595231	-2.817410	0.723476	-0.088422	-1.014204	-0.023301	1.465206	2.216437	0.878280	-1.833238	1.516772	-0.175374	-0.432028	-0.259733	1.417853	1.313533	0.544260	0.233593	0.064423	1.154280	-0.527181	-0.734313	1.120187	-0.595708	-0.533677	0.466369	-0.526288	-0.661165	-0.345320	0.922723	-1.172329	1.145040	-0.308773	-0.539691	0.230435	0.666276	-0.082244	-1.136329	0.062190	-1.181407	-0.160347	-0.130193	-0.216790	-0.720671	0.520957	-0.491731	1.122832	-1.114038	-0.427748
0.700730	0.484420	-0.131346	0.889188	0.517643	-1.302990	-0.500542	2.624985	0.667475	-0.572713	-1.690650	0.997615	-0.502888	-0.156467	-0.253914	-0.425603	0.787787	0.769307	0.217485	-2.077244	-1.260080	-1.899680	0.868155	-0.863663	-0.246414	0.555027	-0.369290	0.867203	-1.572063	-0.953818	-0.889931	-0.662856	-0.085241	0.897373	0.346829	1.063372	1.404531	-0.469525	2.774497	-1.033001	0.805259	0.030676	2.441801	1.305418	-0.519762	1.406628	0.851402	1.852669	-0.491196	-0.254148	0.577732	-0.955007
-1.445955	-0.851841	-1.277212	1.724516	-0.727193	-0.934578	0.246370	0.850242	0.424115	0.055564	0.654069	0.862686	0.790548	-0.475100	-1.136154	0.459006	1.045623	-0.701235	0.630052	-1.847479	1.732328	0.354334	-0.111727	-0.230291	0.257126	0.327227	-0.379100	-1.905280	0.030883	0.293888	-0.235539	0.549032	-0.372975	-0.236759	0.421146	-1.213906	-0.481416	0.576374	-2.138623	1.219750	-1.385035	-0.541390	-2.458888	0.557175	0.650771	0.291803	0.027954	-1.870254	-0.195721	-0.211645	-1.271377	0.327830
0.527666	1.633847	0.603283	0.452688	-0.688025	-0.191353	0.883033	-0.062611	0.428127	-1.349619	0.639931	0.985274	0.996604	1.457363	-0.690300	-0.583912	2.045175	1.268022	-0.612921	-1.820760	1.363295	-0.600868	1.988174	-1.987322	1.111045	0.326630	0.865636	1.252895	2.300844	-0.158995	-0.263979	-0.147454	0.157113	-0.271514	2.690201	-1.121738	0.253978	-0.930316	-1.173359	-0.581072	-1.265518	-0.165855	0.363577	0.720614	-1.089961	0.510586	-0.250432	0.806340	-0.744774	-1.418112	1.163764	-0.601277
0.197333	-1.288233	0.365281	-0.400157	-0.248339	-0.227823	0.620024	-1.798180	-0.207953	-1.741580	0.816347	-1.192759	-0.304484	-0.204967	0.232907	-1.048681	0.371131	-0.995067	0.838563	-1.042872	-0.884296	1.198123	0.374156	-1.778433	-1.226255	1.282071	0.988208	-0.968319	1.035982	0.545454	0.540622	-0.589879	-0.881422	-0.399513	-0.213080	0.050771	-1.048031	0.637627	-2.363767	-0.801798	-0.518710	1.639975	1.513605	0.799894	-1.073026	-1.138138	0.646945	0.639147	-1.165675	-1.164390	-1.399234	-0.878713
0.168612	1.066663	0.899370	-0.652180	0.340960	-0.495174	1.867754	-0.719694	0.706535	-1.112408	-0.809348	0.470241	-1.554032	-0.387078	-2.137816	0.632254	-0.160721	-0.887049	-0.518173	1.949711	-1.407436	-1.120682	-0.311198	-1.203204	-0.506798	-0.523287	-0.450669	0.100677	-1.144510	-0.560224	-0.507477	-0.954508	-0.804469	2.201353	0.569571	-0.636139	-0.526195	-1.009235	-0.452813	-0.374957	0.678126	-0.544221	-2.195955	-1.093550	0.762440	0.422139	-0.694941	-0.231043	-0.234328	0.355525	0.765731	0.254876
0.372507	-0.076561	0.292993	1.291993	0.863422	-0.333478	-0.834317	-0.282598	1.620433	-0.158374	-0.303955	0.386437	0.548411	0.387739	0.664216	0.857210	-0.306430	-1.378911	1.559374	-0.016703	1.563131	-0.592200	2.011225	0.392843	-1.297250	-2.023565	0.545209	1.273572	0.625584	0.469677	-0.392967	-0.387423	1.700761	-2.065149	-0.122564	1.382727	-1.763592	0.195282	0.900362	-1.041566	-1.150888	0.601412	0.334205	-0.886858	-0.667655	-0.636843	1.493849	0.026308	0.270523	-1.247055	0.925197	0.141790
(90 more rows not shown)