Spec-Zone.ru › Matplotlib 2.1

matplotlib.pyplot.close

matplotlib.pyplot.close(*args)

Закрыть окно фигуры.

close() само по себе закрывает текущую фигуру

close(h) где h — Figure экземпляр, закрывает эту фигуру

close(num) закрывает фигуру с номером num

close(name) где name — строка, закрывает фигуру с этим ярлыком

close('all') закрывает все окна фигур

Примеры использования matplotlib.pyplot.close

<img alt="../../_images/sphx_glr_subplots_demo_thumb.png" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAEYCAMAAABFglBLAAABTVBMVEX///+ioqL9/v7+/v/r6+umpqa2tra+vr5paWmKioqTk5M8ib71+fz6/P0+ir5BjL84hr1mosxLksNHkMI0hLtEjcEwgbpsps5PlMRhn8rB2uvp8vioyuLr8/nZ6PLg7PW10ubG3ezc6vSfxd/x9vr4+/3V5vFcnMnK3+2KuNgrfrjl8Pewz+Xj7vaWv9x5rdLu9fpxqdC91+m51eiOu9knfLdZmsiFtdajx+DR4/CBs9VWmMd0q9GSvdubwt7z+PtTlsXO4e+tzeRYWFh+sdTu7u5jY2N7r9Pd3d36+vp3d3dSUlLi4uI8PDxeXl7Ly8uYmJirq6uxsbH39/fOzs7w8PDl5eXo6OiRkZHR0dFycnLz8/NGRkaNjY27u7ugoKCdnZ2EhITV1dV9fX2Hh4fHx8fZ2dltbW3CwsJra2tvb2/19fXk6e0iIiIadLIhtxF8AAAgAElEQVR42uxc+VPiShftF3HUCTsBQVQQWQRUEIZdBUGQxeCOCrjMIs4M5fv/f/w6iyJJJxh8MpOv+lbNqJ3YSfXpvuec240A4MCBAwcOHDhw4MCBAwcOHDhw4MCBAwcOHDhw4MCBAwcOHDj+T4LQaGqgd0UImjs3HUGL5uqM/w0Cj9rHxWWl0a2cVT8LB1lDXwpaqvQF983JKR62j4vvs2XNda1TBdXDowdweHsJ+t+qty0IiAZ0Zn6yi0LT692WQbV7AVq316DfLMGfcHxQ1CvM4P5sgDb9SNfbjUan+lRq0tUyXdaUmo3ZGrz66anSaJQPu/1ruknfX3TpehUP3EdFtftU+gQeICAVOPBVQB+1ns5Bu96nO1e/Li7pWxaQFijdtbq1yhw4ovtff+Bh+8Co9eaero8gIMfgoUuAxswhXQbTpT59UaFLpe4MvOW0AcBN/bJ7Bn+66Pa+fsWj9oEiC/5r3J+/AqQF18PVLASk/p2oEToGELoG2nOt7lnjBLRoDV4hHxn3X0/nnr49dMGvK/BAE6B723pq39EzF3T5mv58cnPIpqwfx3TvkD6bpv9pzoL77idM6h8W33606w+gegxOfgJG/B73qt37xxPWh5zX23d9NmXdPc6wPuTkETaXf7QxqU8wenRf0MJwCI4/p7tKF4KW21k8Kn+S5nWiFlwrwfEXRGsGh3xoJgvIVeVmDod03JSmJwvI5xmcJWRjetKAfMJjLhv/YEAwIDgwIBgQAC7PWQFHXH9jiknXOgzInwWkdkxfMV+PK817MN2s3BAYkD8KCFG7m4NfNI1yq3FR6tUah7DtrHbzTkCIzEr0fT1shN92n9c5op+85KWwFt2u86Jand4JcQgLSLVZOyv1Sh1QOYfo1GfZ3dLxY61gJMnFqXf0sGIkM2+5z2m3yiLiIbNSr6E1R5B1Md22A9FO2PcnBcgN/O+wVOs3Dktl0GSohABX71oh66GtveWdxM74PWgL86bAW8qIaRv5Re56MGHbkLgU/ze0jGr3/2vzIObYv6RvIoBovrY1vZmzyul0pda+vy113s8hCxwU6wn3+EssseG3+UffN5ULBnM6mRsKEYPUW2StVuSlIoV68dUEuTcRQO6azeOHe9Br16ugVf99/X6V5SQPuG9SpHPcPvaTUz7zlzcwiG9lRXIJwFii4o6sBM2ZsknkE1IOO6I9m9uYzAr5733ItpnnUa8hNWYXOssmHIKA7g1U4/KGVmSuk+FUAE0iefPivgl1yXEQ2RYvxfmIWo3hQuJlgBapjfH6WDbCPuLU0sgbd81anXlX+vqixZc2o3WW07a2aveh6Gt3Mylq9RV2VAqIz741mIT6zfE6cRvhIIblpj4fEQecu9vS17/YQUyPFtD+hNNtRAjfqGW9qBevJ3JdpYCsh1yDHzYN2rE6CeZYWbo70u449tlBl06fJrBsQ2opEDN6MwnEGtwgIS2JFtVSYk2dgOQtrznURcXH6iXJks/8/EhOt6RhWrJKej9dIAi8oQWJbKZ1oYTcss2TMYp0ryfhUScg7mHN49gaxx36KFZ37thHsXrYBrPagsElaWcgYDrrIjqb5QgnGRO7ZxJRD7kmbN0TaDm1AEIUIgJNP04FZZliXbrbMKp84k/AYVoeMgjDfEDFAIEWtyBiAl4zAqu4zRc2iICKCSS8WgBZECSB8Fg5i0fCbxxlDeMM3nnpZ4QTsAeBYH1ZvBHgyyGKCWkrEbUURW7RElUjIFPzDqH72hqjGz5X5W2xETeumhnRYEhLXc+E4ArKOtBrOQimUKZxJwc96apIX9vzagTEFYqJ5tsYOQtqIzYso2RWli0DJoOSK4hJNDtmJL3Y4aCjpksWPlxs1YMCl6oSQIIiE+ayrSn36QF+hCWSzSBMrAXZklyFabMXyikDShuwaSmCWDxMb4EsgnFUCIjXKjKCU2blNV+vgU/hweSIOwtB+duCSWjF4waU499giDuYFGPFpLF5EcTCtaQOQGIhcakkVVDcTTjBy6a0Xl40a7lcn7ZKGnlmXq/oEdV0wEpbITMwwaQrcZErsK9GQEwIJxc3hpV2sxYKP5tp+WqWk6ufxymfXErz61FbXRlqmdFO4gdYIXF9SQp6JIQ8pQpAkL48TCoWvkUrv1uaIeV1r0fPEtSaZA0zmeVqISjUbU7GXYhmi8+wyKwcQcnHV9hUISC7elTlyv5FaT8v83PDIK9797gSh19qt5cr0UZJNyq92uBD9iiRyV9iNrQWrYJtda85rT5ACDNSfmYDSj/RsfWc+bQSVY+BDWU1tcuwIKEO2GHUkUXUMiTha3nEm7gbTGdxo0CsLwmtohoAydiQEzVu8yrsKPkiOkdItKKRxXrJui7LMUg7s2uHvO1MiF55mUmDKzYBt4QN8UkBUjuePYFffv56bM5czj7WNWMDkkLXAj2UQifyquxukjcim5zlQxhrntQ49kAax2CAqQWIK8F7ej9TYAwje5oEICez56UHAPqtw+71daOq4fLLsXJAtFb0blTerHCXKjw4e5B1yOrelEOepvzUsqS/PGAUsdYoopcVEtKKS1Bsh7MqMylA6qfgM3t28aEJeo3Z7x0AOtN3JeXnslZCHvSF0dsagqRhfKne7pp9smTD7xU69iVIn9PPBybUWzEo+cQkxZZ1wyHB+PuFJ4M+DpDft+B+jkVmGtQ6nfY9XC2fTivKAdmWIu9dc16ZDbG9VLrdlOyvPpdYtiUgXwjlOdWGuOZg9sB0BdHqdZPwd5yUIJVlQs5JAfLjGEJxRgBNQ8P8aYuruTFTVlSy5rpmU3bUYd34wkV7CVln+MzWQYnzKW6up10zYqqwiphwBJHqK6p3C5d/flKAVEu/K+X6NbirA3De/l6qjknqMclhX5LYQ5WKnUGxxROSc4aEsfismNBb92kLC8iiHoGXdRVNL2kDo5ctglQmKgZ8oOy9PLoAh31wWYa56vyoPK7s3XZIXRGeoBkVkUEC2jDKYcnsB3Kz2oDObDs5ghPeYkAIzpxE5pHKTWsXKOWifnKA/Dc+xGssSo+wQ1FXgcHxuqhFzhm6nre+YxIbxVkTn2+8iPdljUUqIJLDDOH4hNu+qxadygCJG6WJYtXiU9LVKx/nK8hJ5oyeT2iZhFNOhWUQ2dRJsmtPfIRo38Ryi+DM5WaBUBkg2zKrYEHvUdCTzzjw3YSUoOX6fT5uIrINz0qKs/zLlJiJ+IMluxY0iEJHGgyoDBAvVZRxepQSVg+TC4iyFlJEWXkNFpbYluQNowtR7s1wNfm0VUgvpizquVmhlfnbAXFTMrseU9KnEJCJ6JUpS8lVJtMWXlwtSZT4OSUlLkQxWlzPmviisKwLOPYQ0p6I/P92QOZNciVdU0RBVwv6VxkftaUnLGUhVCqf8PRc85L4VA9Md+xT3AYB+0zZWdbKBhC+XkWAOMmirLOwK+hrSMOuW2WcYSr3XEZDc3+e3wjJI4qPcQ4JHpdXIFrY1RzMIdlINYC4bbKOOk4pKJ4M8eyKjHgbnATRBZAfRHHqOZ+iQxihdYP3VeYaBL95slkY5pZcUF2AmOTrh35j5u19DVkDD/pjgPxTD+RzokvPk3lSjNei1SciLBYQG8s3qwLvL9qY+bsBGZGxgFNqBwlJR68/7hFNSG+m6AIv7m3LhJwHz6MdOBB7I+tr9fsqzXF1nkVzFCUP1AKIm5L/MCGhYF99+Gw0YsNiYFgGG5n7AdQNL/lIfMzq+TjjkMZm5w6noNeHP2xNGBZVBci8adQNbz/hO7xF4bNIK2at4WVdBnOEnF6LiN+PP1wXNQoUsYvbiYoNk71WX1QTIFHKPeKOncKbiyfDJ6ylPkvA3knFBuoY1X9cz0uNlPgvAew7+LKA4NX9/+PuWrvSyLJopUh3pwPFQxGVhyCIQV4hoNHEB2DbbR5OOs70TGLWzErSHbt7stb8/6+TIHXved2iChtXCV+yssCLcrj3nrPP3vtcVfWjviH4CykcH+6ANKOTuHA9/zKRBuYdeNB7Czuqs5hfkIgUTZeWdLjP4nUw3rNRchYNk2vgH/VLxbu3KCCRiScWE4R5Fepp9NJT89rFnTUNokiX2F5ivDEqvLxcPpVv6/V4UYC/VL52KwJSSE/MoQrRkt/ViGh2a2AOXaaobwtJ1dZ2KxoOkCg4d6VNC8bR2xcxpWktXrtFAWmmJxo2iFIl+ZFfRKfb0ZKRd5LVrOEnSalcUeV2L0rrVsf9hShFqLk4+mNy9ZqYQN9EQL52DL82Cy9/tq1/Xr4JHpDU8mRhp3/mCbn/j80S26bWApVFjt6JixCuM+hTUblSBBMZ30bEHmJIC/pZ99Qt68+/3b///O5P7374PWhAGlEfVZ+cl1pen+L4BDMLPyuazVKoS/WjEvI8YTKJqpsy06RhXKJXsZpunR2JM2adWNZ3//7mzDp/YX34GNTArJTpBD6I/O8lBjaBvaRzp6qoRkydqJyCfp6q4KS4+hjEcnAmn2VuEDPnZZ198+Hl2dsP1nefgxqYpfycRrWkzzTLJjihh+b5qa4uHGmX2gpaGYlxJYSEK0LH946DK0FV0dxAQBRz0fp45/1b69sXVjADs8bEqlC4JD3qwgHme+TMvBMAYNmLArvXUdQRfqKpGoaS6J4+lhYsxfs3FpDzexc/XH5799nFxcvLix8uRszrIHdIPlrw8SpnAvyoPymCQ1bNYFZKo5CRfaGgdxQA1UnTE63l7pk2adWcXu2YCE6Hj6PVGwvIiP3+9uyXd+/+btvn914/DxaQyKovmCrywKd1VitJSrBExfRSuGRKEJxX1d7diNMTbdN1pNlbxCmiq8jGkE2eiR1nXYdEpq1DWj5piScpf+uxBsi+CcxC/LsD4WuhtQZ9BlHWXOnUiDkKc4rxQpgHVGGy0tAWhkcJf+lTZcnfeozNmzIRgZDKTHJryNXdfIAREa1sdJwIl9KoNWi7Ta9l1EJpL9yWgDiPffIXelF/gWPd3ofLfm6bbQFhKSvfFUZE1OSGbAa1Bh13Z+Att71/WwKy5sP17eqbH9309TpF7VF56APTYQm9lTjhDcKUNuMoKC8ZIl5TocOgJmechjUgh0s+Gx2teNfX67apt0JlwQDMlNNDeOtyJAD0NBiIr/DfIZZUx9yse3fV+wYMaUCqi357s04i7+t1p5TgNRZ2CpsTipqaUS5IAKgLU/S0XcSMwJJ992LChxTPGUIakFp60++Kgy1/dT/9LnczBttGxLDmpTTqi5/QO1+ZnKxhQszG0rF0jfM2WUgD8nTg28HvYHm6uNUyBnQRiZrWhYYIYI7s0ktZMRPLuPWkTAZwVsjLnHAGpJ/M+16xveIH77WZptxoK1dKgutrKGCQQFfFVAeK9kDMIhRSk4+jsnbrdgSklPSvHiyl/TjGqiND391RQx6Xh/nEZpxjkIfaFP5ogaQKit2ew/7vikffjIKfsHl/LZQB8dFMB0d+3U/wOFG9sdQzbTnwkfGm95dz6rE6T5m7tbK/IvaKLVcPPRLjqoCwwjKcAWlluv5XLCb9VCy8eb1hUrUhDU0uzsN2qm/y5iIpS1dPaVo1/i1dNkYXYqYOZ4eFMiDtRAAOtbdcUNePtG9SXTkyJcjwNovzhgiA53tLODPQWCdZfm2n5WIr4CccxpMLZUBiCwsBVnT2/bw6m2SECdPPIQ6wVOYAVz7qtVxVkKWNmfEql16H3wyH9wDCGJD1TBDpoD+eAzANUKeLAS3DcMgS20dQn1iL4iQspttg+7v4byq4aRtI7oQOcRgD8iiY2lkynGQPARQ2yQwxgZvTuR2Qq9LcGSDF2Eyx6xplIeJPnyN2IQxIy1fvFqSp9GIVoax9XnyuygUM3hO8AQZlVcXkkFxoxzI0UHJB6TLMLjq8AR3CgAS60i2JHCU8BLC9LRO1q/jW4OAGFLLl0vgrntODqbDpr+I4Ipe6Bqd9zdzA7OK3z+f2WQADs1gioCFva8cH7iW0o/KLoiNdBw/74pHsgBqzn8F9TSALOUWOsKpgycGCqMzHWszcwOzi8teXgQzMSplisDfa8OPLL6gBS3Jri0ww2GVWZ7A0scnx2tIud7ur8Go7GsSEeI+N0G4mIIoGZL+6eObfwMx+sBxwMkh18sAcy4rnhWROpA4TVPCQel9YDUggIqQXQD3FFr2H7v/6CfATQ84qm72Bmf3pkx3AwGxYD+rpbqdOJgctw3eRqtUIFIP5z3vUHcZqZcBFTnhba9r9rj2AGNuWu19QYUPkO7MNyNjAzH77yQpiYLYc2PwVQhlGKEswzGzId08N1/RNxpwq74BzhgjZN7XJJYa5TlR/DApHuvHWzQXkysDs9/P//fb92YVvA7NyJviglvbCxBhK+ulcRgTBsli2NfJFNn3o2gzQjeZOh+VVo4fu2iyCEPY443vWBmb/ePPL5eWP/g3MdhecwG90PHmUiOSbz/V947seJV+1Ol0cfOisw5TVXsKlOPxBrU6FlWaTC7RCVoe0MsfB11yf7NIkSdP6C6IQlzDcOLqfhQbOj/Csw9GcRLc2h81fXSZCJY9Q04YsILuL/eBrlpMT84A9YV2D+oqALGssM0UdjVNcphzr+Yo4idOTXCBUJgwLDVdAWpn8FGvGJhcih0Kf15anCwOrTDnaaLwhZvV8Cby6cbCJtYYaYekvmGyGKyBPp9kgPkZKuWIAktCJdG7yEXPeF9KuE4wMwDFYzDNQNwdk/hwOnFAHpDzNDWJ50HT1US8hu7KHJsFKcmw2OqLcHS2YnmvB7NjRKgTY/xIEeaEKyMFKdapFn04qROTTaXdfjC42lOmwGZHIvmHkxis+16iD+jGmAUmIxezyjRumgNQCGiOb7mGhUBeNyNri1AVSWfRZpxdtoWYSAT3gjkdlDhj9uf1Yx1PwtglRQKr7y5HpFu1NYgJxEpAhx+FEEIfpSFCLl7w1yIILSXD5gD4JtDA7SIU5IHvBOrdwayUnAMRcemYoywTDJNahQg6zXTwyB5x3nURTvIkqoPQVrrbwBKSYbk+7aDk+gQnU2JH0/8wXcbQjaL+Std4RKXUdz4oD0UM0I8BjhDy85YPwBsRODWLTLlqYZCy7lSQK7w6ggVWezcRiHArnyEXoRCBZyyARfGYhWpk7DG5BKfXPqRZ1JHZGs6JrCptuMNlOGcEepSZmN3owM4ANDf6r7YMcDVTy4dZjxeIgCMqxXrrHq46fezzdF+LEg+VYz+3BquRxDxDzMiIyA9kgVpmuAnZKtq4A4nGsdloC04o/sa6w6SZIg2yaLvhlD6v9DTco66HzEk/WgjSCqfZ7o1iAAiyU0LRwB6QwGG9dZVXB2I99yqeKwJdMB5pBFTcowbRv/D6XXkAcEZoY+qTfMNU5IArLxING41qrNeH+aHSRdPQyoVzJOcU/g/VKADAbIAwIS0M16Ud/7e6EMSGM/sXa9VWt1b6szA2tUOMK5y2IvjtfGt0YfeZ0ilQ7MBrIZ9Y1Z09SfjuAdP3MDM+vuz3ctTwOzbHyleM23KnqnaBEDr1oywmQ+pKTSIHmVg1gO5QQoiCAuAoYjAZFvIVG6wYCMDcz+9erzqzc/Gg3MIuWH9Ycb132vnPfk6NiKnMKdCifZNgVg6RgdAgug6ZZrUG8FsUsAeQE9Sy7avcGAjA3M7n9vfXz/rWhgZg9LR6n6Su/679Vf8UyaC4ty4bgldEnoPAlmfLqOhQ2IjI12zzYQruYTIKFUUWik128wIGNe1otz6/zja9HALJaKLj3qxv6C9zI0/9SXMi7DyJJNA8P7coQt1E2jDY38+BGFCILJFf1OgP4rDfCZOXPx4x3r/X9kAzO7kXP+ojc78BQlmoYo5KPCvULhpQ5hCxFXGYR+oCEYlQX9XWsPJJynJVx9szYwe/Pdq4tXf05jYBbo4e2FOTRI0gFHxLzXNoiLO4kiop0gpgkkcwN/OdDxkmaOzdrA7Jn9/t6daQzMgj32FrwSg6zBtCEbZdky3/dBZFx8+rDEoAcjPHbqvbrgV6X7TiKz3oYB9z4eAicT1nZR+WisMSWokB7QoeqElYIauk3onwIFoSBsoHspjUmck4CseXqjtFfkVqTgCsB7iw4BnIij0iGkPKDjDIIw4GADLchavTCvAdnwtNfaNZAgMApydeWyioZi5sRMRRCRWSqLkP9x+4+oFfbVaY7TAnAXHiXgy7RweG+oRXykImSup5slgeGqOhqXHQoAkGVatBe8mNeQ1I5LGXv9YDgyI9tsTCKOjjCDJJ6NUI10SVJux/QaaEBtaagppyTgJCJJbkYWQ28ieExIfU7mTsQRd6OSKCWAs400G3Xk2YzC/Ob0C29j3OM6PZMhehC7gxmTRCBoOgEd6IsgUbklClo6kmsHSct4CooTfSVRE1ednwmdGE1jPK0TBbdAn3MFDqiq4bqNCFA5A0l1QSZs9LQHoexuRspqDHQXecYPcsmdqePCZnXNFwvzhaDGaDyeHAsGBb8KCYl4AMzdMnsL0Ivh6Y5rnCBQLHSM9O5aOoFYPuFxAFNDVxS/WTsXJ6vgJS9ODKmWe3AG849aVlpwhu6nbIDPcWlJMiCrGtD7cOpJVqAsCJMAp7XgIi+Vp5ZZfjm2exyvYM+4ywBRPV86KRnlgkrVv2aDaGpsBIrf55CYiXaKdinP9VSsa8i45R4oVOwzKxmwHtDSuChxdqzKUI/R01ECowSecnIKtm0c72wPQMylmvrmXeZt+Mwm4KoSoiogIx2tD1KBrno2ks0izquQmIx9iKh8ankOT86lvNyZ1FpDKkkl8IDxPmnRZ2PYExVX79QAk6hwE5MroHRMyKN+bGExHGT+fQNU6mCyP3LNJc1KgXOvW6qgsjmXLPTUB6aRN50TYPn2SOppKRDRb5UiKdA1JdcuHruh3lBbrPKw0fn5uADOum3La6ZESCcxTulbxjI7CqY0TGCOj5Ejq9RrZQ4j10eUX2QvsGA3L24t1XJtabj3+8fm69++8fv844IGb3gJjZBZhZzHLN7ZdHAoIlDH8CN/MT7MCo8bX/s3flX2kka7SmXeIMNCAgbqCAoHFBcV8mAsoDRY2+aKKTl0w2Q6LJefn/f3x2V9f+VdPJpMl5rfVLTg50NFyq6lvud292iKsjTBPFILkX6SsgRrPv/LSF0OWbw4Fn6HX7CrfUPQiY/eACP0r8yrrWsTAseelBLSupnLgo245wAz1SS5gZtQlCNJTaoDpY+QjIVb2FHAGg62eo3vxygrwJmP3oCut0kZlxGvC1kS2EQbtJoZ2iyO9zDCRJxZf1D9ND3LaislAQtdcHQC4+Nu9W/6mJTl9af392+wo1vv5h0bK8CJj98JrRxVLUpwvKXqRMAHSHFqI0ZbSca5dIOteswz6V4ELAMtmx4Kb++YAYjd671Ti+enHc22qh888XyESov+nzkaWV4YWHbdXzBh86kMKpYIOjJDWzbO58ISGUnJl4s1DBL5DgWDUI8PNSf3va/AP93v/hv//5/ezk+rr+yOdLHSoLOl/PEf3wiOyQw40NcHuAx0Cp2HO74BI7jPHwhHOOinaCF5Z/Ye+Hlwa6bLx63m5fmh/al36HvXo9ZTfla7kjkU0a0Jv4LFMenOXG5Spx4TvBjBCEc65KzHbykccBzkP0espLLkoo8vBhOgoWAbg8cFTOrjkDJEkEil1ewkak1AqxSBY4QCbXNcHU4BP9Q3KaVxmB9h7nUqTOaXJXlNR9Z1GwUEOm6QcYQQQHkHIKnjkw3eyLVyWDedBtkj/Hwkoyt8L+CUmVixWGhTo75ZKCiiDBASScACUUwVFXLqoSPxNopkpg+lQVqmmOfaxSBEaZqqKysEk4ZOAhGxxATA0dLhN10d2QPaShqcO7D47FzQXFgoUZscoRGJ04NIRfjXJTISZpgADRJSKlpAvtd1xSpQGPN14QXD0YJ1ghQGo4lUhYK/K16X4BrS0DBIh0pdLv6bqL6pPsbjACKRLx0VBGKYzNU9qJTMumRgiSHxW5UcAYO0CAKH7QzjUxV3a5eELieRaB7iFe/amkxHLldZJNyMM+VDFLut5IzLUfQ4EGZBVm+wgyu/KSKuCASRcS5QCmFV3lMNVzkmvHNOEIi5QY0m3eigYbEI2zupQ+S5GA+KUW+FPs6OGKgGpkxEhwcjndJMSsqjimSEZ+JEXTwAEyD9/em6Nu86BiJWQS7HLxbcRVZSyxSGcQC7I8R6hJBfGmIpfdbi3YgJhJML51HVSQVHrBYoZwrqnC/yZ9tSzN61LtOXbNYCDiLllogABBcVC0cWPT7RlRu1cj6z/CotYpRcnUpLSTjOx/QSRWJKeSitN03BkMOCBgVtcTd9XWFGcNNCxgTrtm9085lGNZ3/ictL8I/yEvhmaETr80HHBAwCOgOuSq7y94dWukAHlWJCCFRusiJTnjIYnitCiASwanwNHHIAEieMfTqz7qKm6TjZaFVAZsnXC1QYAFST9XZRyOtBqlihmBHSTwBQkQSRaG3NOu5iIiL2ExDr6J088HHBUoRoqCB0k4xmICUoRrN7rZVUCsjiFCrQ/ts1eo9fywC4BItCjn2+muei0O82gmFdmIDaRNR5UEFDFaEnFLonSEjfrnWjcBeXvatFwML59+/OvSOBog9B8/ASlFgbRuNekqxyiOu7lo2YtMYxOI2WjDXBmrI/NAC0PCC7loXl848wuQrzbrBKGT1/9+iV6eopumoQiY/exVhazutyKuzwijNODAhvVvULaiCXyrK0M0R5GOzIqjmCW1+wn1emiqK4CY7f67dVbHvKxXfX31R2+OUO/xV0XA7KcviLzsNi9tJX189coYhXOWfTqCBdHxtqImwU3ajGRAS+K9kPQzlO4KIK2+v+9WmzEX+49uvqCTusUlFQXMfn4iAnzBO2ks88Rd2GbEihbIN1y1d+Em5hZl9fr9SNg5uoRymjOEJYzm+n5kGQMWt/fmU+Ps8PZd48E+HkIAAAqKSURBVLj98b3/dwh/+dI1s9lhV3G9o7AmZ2GqPRDZcDWa0fx4MjEnvVDCQxBF0MvMX/b7b+2roy/vLlD79n2jC4AIFFpnJTpoyvMKclWw+s4nGCVAvZG6XihDtWNzeO9IdLwMvrcKoKlJkPIQlFN7UcVk1v0Znida1hgjM21EaOiBjkcpPeQ9R+ZdUoSs4q0xHssFHZC8Ss2aT3bweuG1tHTULvaPAAbozF5aIYAR2xIpm3RmQ+Faf6AAGVf7S9uhDrYkixw1bjsFJ5EZ6pqrGrFyjFCFf0/4D/K0LQ6vJsBaf6AAqaojSSvRkvsz+5xM4koIZqOyDtXjObU6UyLSAYqg+aQj0CRP2+IEBO5wBgoQQx1WTyc66JjzfHeZWEqjLxoOr6bUfnDZUQU0a7swVKasroZTdLj5EihAAF41ZIIrXrzM2QNVanCZhbFRIX3TosNcURXmHR5QWE5v8NwWvHmDBciuIkB10MkElFe9np3RDC7QS2AKqs87eo/KBCmZWVNOUhxqZ8FBomABogxLGYAPmnSscBVJrWD5MnmBt+lkqU5FkzQWsGGLMkuIW5v7YDcsWIBsy1GprhjCRVDcpzWo40NQKxCwDe5c5mqx

Демонстрация подграфиков

../../_images/sphx_glr_pipong_thumb.png

Игра в Понг

../../_images/sphx_glr_multipage_pdf_thumb.png

Многостраничный PDF

../../_images/sphx_glr_multiprocess_sgskip_thumb.png

Многопроцессорная обработка

../../_images/sphx_glr_tight_layout_guide_thumb.png

Руководство по узкой компоновке

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Licensed under the Matplotlib License Agreement.
http://matplotlib.org/2.1.0/api/_as_gen/matplotlib.pyplot.close.html

Spec-Zone.ru

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Spec-Zone .ru
спецификации, руководства, описания, API