colour.sd_CIE_illuminant_D_series¶
- colour.sd_CIE_illuminant_D_series(xy: ArrayLike, M1_M2_rounding: bool = True) colour.colorimetry.spectrum.SpectralDistribution[source]¶
Return the spectral distribution of given CIE Illuminant D Series using given CIE xy chromaticity coordinates.
- Parameters
xy (ArrayLike) – CIE xy chromaticity coordinates.
M1_M2_rounding (bool) – Whether to round \(M1\) and \(M2\) variables to 3 decimal places in order to yield the internationally agreed values.
- Returns
CIE Illuminant D Series spectral distribution.
- Return type
Notes
The nominal CIE xy chromaticity coordinates which have been computed with
colour.temperature.CCT_to_xy_CIE_D()must be given according to CIE 015:2004 recommendation and thus multiplied by 1.4388 / 1.4380.- \(M1\) and \(M2\) variables are rounded to 3 decimal places
according to CIE 015:2004 recommendation.
References
[CIET14804g], [WS00d]
Examples
>>> from colour.utilities import numpy_print_options >>> from colour.temperature import CCT_to_xy_CIE_D >>> CCT_D65 = 6500 * 1.4388 / 1.4380 >>> xy = CCT_to_xy_CIE_D(CCT_D65) >>> with numpy_print_options(suppress=True): ... sd_CIE_illuminant_D_series(xy) SpectralDistribution([[ 300. , 0.0341...], [ 305. , 1.6643...], [ 310. , 3.2945...], [ 315. , 11.7652...], [ 320. , 20.236 ...], [ 325. , 28.6447...], [ 330. , 37.0535...], [ 335. , 38.5011...], [ 340. , 39.9488...], [ 345. , 42.4302...], [ 350. , 44.9117...], [ 355. , 45.775 ...], [ 360. , 46.6383...], [ 365. , 49.3637...], [ 370. , 52.0891...], [ 375. , 51.0323...], [ 380. , 49.9755...], [ 385. , 52.3118...], [ 390. , 54.6482...], [ 395. , 68.7015...], [ 400. , 82.7549...], [ 405. , 87.1204...], [ 410. , 91.486 ...], [ 415. , 92.4589...], [ 420. , 93.4318...], [ 425. , 90.0570...], [ 430. , 86.6823...], [ 435. , 95.7736...], [ 440. , 104.8649...], [ 445. , 110.9362...], [ 450. , 117.0076...], [ 455. , 117.4099...], [ 460. , 117.8122...], [ 465. , 116.3365...], [ 470. , 114.8609...], [ 475. , 115.3919...], [ 480. , 115.9229...], [ 485. , 112.3668...], [ 490. , 108.8107...], [ 495. , 109.0826...], [ 500. , 109.3545...], [ 505. , 108.5781...], [ 510. , 107.8017...], [ 515. , 106.2957...], [ 520. , 104.7898...], [ 525. , 106.2396...], [ 530. , 107.6895...], [ 535. , 106.0475...], [ 540. , 104.4055...], [ 545. , 104.2258...], [ 550. , 104.0462...], [ 555. , 102.0231...], [ 560. , 100. ...], [ 565. , 98.1671...], [ 570. , 96.3342...], [ 575. , 96.0611...], [ 580. , 95.788 ...], [ 585. , 92.2368...], [ 590. , 88.6856...], [ 595. , 89.3459...], [ 600. , 90.0062...], [ 605. , 89.8026...], [ 610. , 89.5991...], [ 615. , 88.6489...], [ 620. , 87.6987...], [ 625. , 85.4936...], [ 630. , 83.2886...], [ 635. , 83.4939...], [ 640. , 83.6992...], [ 645. , 81.863 ...], [ 650. , 80.0268...], [ 655. , 80.1207...], [ 660. , 80.2146...], [ 665. , 81.2462...], [ 670. , 82.2778...], [ 675. , 80.281 ...], [ 680. , 78.2842...], [ 685. , 74.0027...], [ 690. , 69.7213...], [ 695. , 70.6652...], [ 700. , 71.6091...], [ 705. , 72.9790...], [ 710. , 74.349 ...], [ 715. , 67.9765...], [ 720. , 61.604 ...], [ 725. , 65.7448...], [ 730. , 69.8856...], [ 735. , 72.4863...], [ 740. , 75.087 ...], [ 745. , 69.3398...], [ 750. , 63.5927...], [ 755. , 55.0054...], [ 760. , 46.4182...], [ 765. , 56.6118...], [ 770. , 66.8054...], [ 775. , 65.0941...], [ 780. , 63.3828...], [ 785. , 63.8434...], [ 790. , 64.304 ...], [ 795. , 61.8779...], [ 800. , 59.4519...], [ 805. , 55.7054...], [ 810. , 51.959 ...], [ 815. , 54.6998...], [ 820. , 57.4406...], [ 825. , 58.8765...], [ 830. , 60.3125...]], interpolator=LinearInterpolator, interpolator_kwargs={}, extrapolator=Extrapolator, extrapolator_kwargs={...})