I want to highlight specific element in heat map(on both row and column of heatmap) Is their a way to do highlight particular element on both axis .
The desire result should look like where the vector element got highlighted on both axis. Or similar to the example given below.
I am using seaborn and matplotlib.
EDIT 1: i am using dendogram and here is my code ,Where **PairWise ** denotes my data matrix.
import seaborn as sns
%matplotlib inline
pairwise_corr=PairWise.corr(method="spearman")
sns.clustermap(pairwise_corr,method="complete",annot=True,linewidth=0.5)
Edit 2: Here is the data with columns as a b c d e vector
array([[191, 395, 63, 89, 247, 201],
[379, 121, 187, 430, 265, 478],
[ 38, 220, 406, 450, 349, 354],
[165, 172, 469, 355, 56, 425],
[482, 143, 411, 322, 184, 492],
[ 16, 157, 172, 253, 320, 391],
[328, 443, 418, 392, 95, 93],
[208, 50, 362, 407, 43, 139],
[ 68, 257, 447, 472, 357, 11],
[164, 123, 469, 93, 296, 5],
[ 54, 419, 264, 370, 474, 387],
[171, 137, 108, 174, 339, 481],
[470, 87, 139, 465, 189, 367],
[115, 129, 237, 215, 19, 109],
[196, 462, 256, 125, 329, 379],
[241, 275, 472, 128, 176, 320],
[394, 330, 262, 169, 491, 99],
[406, 182, 190, 404, 71, 221],
[143, 161, 69, 156, 319, 28],
[ 95, 157, 52, 74, 380, 160],
[180, 70, 4, 477, 392, 465],
[406, 211, 116, 68, 324, 288],
[477, 182, 459, 381, 244, 466],
[337, 47, 383, 113, 124, 416],
[386, 202, 14, 129, 325, 209],
[444, 217, 39, 320, 474, 390],
[ 66, 258, 241, 149, 80, 496],
[ 50, 415, 410, 223, 429, 21],
[203, 104, 148, 56, 378, 75],
[277, 254, 172, 130, 142, 59],
[266, 140, 389, 154, 207, 452],
[ 76, 444, 25, 357, 30, 255],
[421, 499, 322, 347, 44, 189],
[142, 136, 50, 445, 234, 404],
[487, 478, 282, 290, 172, 96],
[ 75, 99, 82, 13, 148, 424],
[ 61, 73, 181, 363, 96, 406],
[ 71, 74, 490, 354, 364, 62],
[409, 76, 475, 491, 267, 398],
[422, 72, 272, 136, 140, 301],
[128, 55, 100, 236, 255, 499],
[ 13, 240, 254, 273, 59, 262],
[ 45, 474, 153, 132, 422, 391],
[264, 25, 382, 464, 440, 11],
[120, 32, 497, 321, 81, 343],
[165, 328, 284, 447, 279, 317],
[ 1, 247, 273, 145, 254, 47],
[107, 135, 222, 140, 221, 207],
[319, 387, 426, 86, 344, 481],
[447, 344, 139, 336, 191, 442],
[112, 173, 249, 371, 364, 246],
[403, 20, 378, 387, 492, 308],
[ 58, 206, 419, 378, 27, 487],
[167, 249, 340, 253, 389, 38],
[334, 27, 45, 112, 298, 359],
[498, 233, 72, 111, 304, 117],
[464, 285, 119, 433, 362, 7],
[374, 36, 101, 21, 141, 430],
[322, 80, 53, 184, 467, 330],
[236, 461, 6, 353, 80, 193],
[342, 178, 372, 227, 51, 460],
[179, 448, 51, 309, 87, 403],
[253, 329, 81, 28, 428, 490],
[156, 128, 201, 74, 71, 418],
[436, 393, 128, 370, 76, 115],
[359, 157, 111, 425, 28, 92],
[116, 377, 110, 37, 348, 329],
[355, 282, 200, 205, 301, 198],
[180, 390, 80, 183, 248, 116],
[340, 113, 79, 479, 218, 310],
[178, 334, 126, 470, 13, 405],
[450, 50, 141, 145, 153, 108],
[483, 120, 124, 94, 475, 259],
[191, 366, 456, 400, 390, 378],
[292, 245, 403, 321, 195, 138],
[213, 474, 62, 351, 136, 38],
[372, 314, 412, 191, 30, 244],
[ 78, 473, 100, 448, 36, 19],
[274, 78, 491, 29, 193, 243],
[ 13, 177, 31, 471, 44, 488],
[160, 310, 9, 43, 481, 498],
[219, 465, 486, 91, 460, 429],
[ 79, 326, 154, 337, 45, 8],
[402, 124, 242, 479, 438, 170],
[206, 354, 348, 133, 389, 0],
[ 57, 239, 31, 42, 157, 458],
[392, 71, 96, 134, 80, 436],
[233, 268, 193, 129, 70, 385],
[486, 111, 328, 219, 353, 371],
[303, 476, 352, 30, 490, 428],
[496, 59, 340, 332, 401, 389],
[ 66, 302, 250, 322, 131, 328],
[362, 407, 118, 237, 104, 72],
[192, 493, 1, 42, 301, 103],
[352, 402, 123, 435, 209, 314],
[216, 42, 485, 72, 392, 251],
[323, 36, 498, 9, 120, 327],
[207, 178, 495, 144, 102, 276],
[179, 476, 24, 51, 154, 69],
[ 19, 62, 450, 199, 382, 139]])
Any resource or reference will be helpful.
Thanks