代码>>> import numpy

>>> print numpy.random.multivariate_normal([1,1], [[0.3, 0.2],[0.2, 0.2]], 100)

[[ 0.02999043 0.09590078]

[ 1.35743021 1.08199363]

[ 1.15721179 0.87750625]

[ 0.96879114 0.94503228]

[ 1.23989167 1.13473083]

[ 1.55917608 0.81530847]

[ 0.89985651 0.7071519 ]

[ 0.37494324 0.739433 ]

[ 1.45121732 1.17168444]

[ 0.69680785 1.2727178 ]

[ 0.35600769 0.46569276]

[ 2.14187488 1.8758589 ]

[ 1.59276393 1.54971412]

[ 1.71227009 1.63429704]

[ 1.05013136 1.1669758 ]

[ 1.34344004 1.37369725]

[ 1.82975724 1.49866636]

[ 0.80553877 1.26753018]

[ 1.74331784 1.27211784]

[ 1.23044292 1.18110192]

[ 1.07675493 1.05940509]

[ 0.15495771 0.64536509]

[ 0.77409745 1.0174171 ]

[ 1.20062726 1.3870498 ]

[ 0.39619719 0.77919884]

[ 0.87209168 1.00248145]

[ 1.32273339 1.54428262]

[ 2.11848535 1.44338789]

[ 1.45226461 1.42061198]

[ 0.33775737 0.24968543]

[ 1.06982557 0.64674411]

[ 0.92113229 1.0583153 ]

[ 0.54987592 0.73198037]

[ 1.06559727 0.77891362]

[ 0.84371805 0.72957046]

[ 1.83614557 1.40582746]

[ 0.53146009 0.72294094]

[ 0.98927818 0.73732053]

[ 1.03984002 0.89426628]

[ 0.38142362 0.32471126]

[ 1.44464929 1.15407227]

[-0.22601279 0.21045592]

[-0.01995875 0.45051782]

[ 0.58779449 0.44486237]

[ 1.31335981 0.92875936]

[ 0.42200098 0.6942829 ]

[ 0.10714426 0.11083002]

[ 1.44997839 1.19052704]

[ 0.78630506 0.45877582]

[ 1.63432202 1.95066539]

[ 0.56680926 0.92203111]

[ 0.08841491 0.62890576]

[ 1.4703602 1.4924649 ]

[ 1.01118864 1.44749407]

[ 1.19936276 1.02534702]

[ 0.67893239 0.8482461 ]

[ 0.71537211 0.53279103]

[ 1.08031573 1.00779064]

[ 0.66412568 0.57121041]

[ 0.96098528 0.72318386]

[ 0.7690299 0.76058713]

[ 0.77466896 0.77559282]

[ 0.47906664 0.58602633]

[ 0.52481326 0.78486453]

[-0.40240438 0.17374116]

[ 0.75730444 0.22365892]

[ 0.67811008 1.17730408]

[ 1.62245699 1.71775386]

[ 1.12317847 1.04252136]

[-0.06461117 0.23557416]

[ 0.46299482 0.51585414]

[ 0.88125676 1.23284201]

[ 0.57920534 0.63765861]

[ 0.88239858 1.32092112]

[ 0.63500551 0.94788141]

[ 1.76588148 1.63856465]

[ 0.65026599 0.6899672 ]

[ 0.06854287 0.29712499]

[ 0.61575737 0.87526625]

[ 0.30057552 0.54475194]

[ 0.66578769 0.21034844]

[ 0.94670438 0.7699764 ]

[ 0.39870371 0.91681577]

[ 1.37531351 1.62337899]

[ 1.92350877 1.34382017]

[ 0.56631877 0.77456137]

[ 1.18702642 0.63700271]

[ 0.74002244 1.04535471]

[ 0.3272063 0.75097037]

[ 1.57583435 1.55809705]

[ 0.44325124 0.39620769]

[ 0.59762516 0.58304621]

[ 0.72253698 0.68302097]

[ 0.93459597 1.01101948]

[ 0.50139577 0.52500942]

[ 0.84696441 0.68679341]

[ 0.63483432 0.22205385]

[ 1.43642478 1.34724612]

[ 1.58663111 1.49941374]

[ 0.73832806 0.95690866]]

>>>