import matplotlib.pyplot as plt

colors = [
    0x010101, 0x050405, 0x080809, 0x0d0b0c, 0x0d101e, 0x110e0f, 0x11192f, 0x151213,
    0x161419, 0x171514, 0x18181a, 0x182133, 0x1d191b, 0x1e2741, 0x1f1c1d, 0x214e92,
    0x221e11, 0x222121, 0x23539c, 0x264b76, 0x285ba6, 0x2860ae, 0x2866b3, 0x29272c,
    0x293551, 0x2a2322, 0x2a6bbb, 0x2b71c0, 0x2b75c3, 0x2c2d2f, 0x2c3544, 0x2d2b23,
    0x2d63b0, 0x2e68b4, 0x2f79c8, 0x306ab8, 0x306cbd, 0x3070bf, 0x307ecc, 0x3175c2,
    0x3183d0, 0x323031, 0x362e2e, 0x363536, 0x366fbb, 0x3683d0, 0x3773c0, 0x3777c3,
    0x3779c8, 0x3880ca, 0x3889d4, 0x3b2920, 0x3b3630, 0x3b3a3c, 0x3b3c43, 0x3b90d8,
    0x3c2018, 0x3c2f1f, 0x3c3938, 0x3e7dc3, 0x3e7fc8, 0x3e8cd4, 0x3f84cc, 0x3f86d1,
    0x403536, 0x412e2d, 0x4190d7, 0x4194d9, 0x42371f, 0x423828, 0x438fd2, 0x4398db,
    0x444242, 0x463e41, 0x464648, 0x473c3c, 0x485064, 0x488ad2, 0x4898dc, 0x4989cb,
    0x4a3930, 0x4a4b50, 0x4a93d7, 0x4b3c37, 0x4b8ac6, 0x4b9ede, 0x4c4f59, 0x4e452c,
    0x4e91cf, 0x4f453c, 0x504537, 0x505055, 0x534842, 0x534c49, 0x535b69, 0x5398d8,
    0x53a2e0, 0x545050, 0x559ddd, 0x566674, 0x5681ab, 0x57a7e1, 0x585959, 0x58a0d8,
    0x58a3dd, 0x5995ca, 0x5999d1, 0x5aa6dd, 0x5bace1, 0x5daee4, 0x633f32, 0x63524f,
    0x644543, 0x645954, 0x64605e, 0x646263, 0x64656b, 0x64b1e5, 0x655241, 0x657487,
    0x659cc9, 0x65a4d2, 0x65aadb, 0x65ace2, 0x6790b3, 0x686a6e, 0x695f53, 0x6a6e73,
    0x6a96bd, 0x6ab5e6, 0x6b7479, 0x6b7e8a, 0x6db1e3, 0x6db5e2, 0x6e86a1, 0x6ea4cb,
    0x70acd8, 0x73aad2, 0x747477, 0x747f89, 0x74b0da, 0x75b8e6, 0x76574a, 0x774f3a,
    0x775b55, 0x776a66, 0x787b7c, 0x78b8e1, 0x7a6955, 0x7a736c, 0x7e8790, 0x7ea6c6,
    0x7f97ad, 0x7fb5da, 0x808285, 0x80bbe2, 0x817e7c, 0x81afd0, 0x84bfe2, 0x87888a,
    0x88725f, 0x88b7d8, 0x897353, 0x8a7a6c, 0x8abedc, 0x8b959e, 0x8d8379, 0x8e5134,
    0x8e8b8b, 0x8e9396, 0x90adc6, 0x90b3ce, 0x91a0aa, 0x91bdd9, 0x92604f, 0x92795f,
    0x929291, 0x92b9d1, 0x94806c, 0x95bdd7, 0x96938b, 0x989a9d, 0x999897, 0x9a8779,
    0x9b9283, 0x9cbfd8, 0x9d9174, 0x9da4aa, 0x9e9f9f, 0xa1846b, 0xa4a5a7, 0xa57c60,
    0xa5abae, 0xa6b9c6, 0xa6bdc9, 0xa7a29d, 0xa99e8f, 0xa9b6c0, 0xaa946f, 0xaaaaaa,
    0xac946b, 0xac9773, 0xacafb1, 0xacb2ba, 0xad9a77, 0xad9c84, 0xaf5f25, 0xafaa9e,
    0xb09e7d, 0xb0b1b1, 0xb3b8bb, 0xb4bec3, 0xb5b4b2, 0xb77750, 0xb7a68d, 0xb8b8b4,
    0xb9a985, 0xbaa246, 0xbbbbbc, 0xbbc4c9, 0xbcaf8f, 0xbcb4ab, 0xbcc1c1, 0xbd732d,
    0xbeceda, 0xc1b29c, 0xc1c3c3, 0xc2b9ac, 0xc4beb0, 0xc5c5c4, 0xc6cac8, 0xc6ccce,
    0xc7b590, 0xc8bc9d, 0xcbc5bf, 0xcec3ad, 0xceccc6, 0xcfd0cf, 0xd1c09d, 0xd3cec4,
    0xd3d2d1, 0xd5d5d6, 0xd6c7ac, 0xd6d0c7, 0xd8d7cf, 0xd9dbda, 0xdbcfb1, 0xdcd1c2,
    0xe1d8c8, 0xe2e0db, 0xe5e5e4, 0xe8dfcb, 0xeeece9, 0xf4f5f6, 0xfdfcfb,
]

ax = plt.figure().add_subplot(projection="3d")
for c in colors:
    r, g, b = c >> 16 & 0xff, c >> 8 & 0xff, c & 0xff
    ax.plot(r/0xff, g/0xff, b/0xff, "o", color=f"#{c:06x}")
plt.show()