Spec-Zone.ru › Matplotlib
matplotlib.axes.Axes.annotate Axes. annotate ( text , xy , xytext = None , xycoords = 'data' , textcoords = None , arrowprops = None , annotation_clip = None , ** kwargs ) [source]
Добавить аннотацию к точке xy с текстом text .
В простейшем случае текст размещается в точке xy .
Дополнительно, текст можно отобразить в другом месте xytext . Стрелка, указывающая от текста к аннотируемой точке xy , может быть добавлена с помощью параметра arrowprops .
Параметры:
text str
Текст аннотации.
xy (float, float)
Точка (x, y) для аннотации. Система координат определяется параметром xycoords .
xytext (float, float), по умолчанию: xy
Положение (x, y) для размещения текста. Система координат определяется параметром textcoords .
xycoords одинарное или парное значение str или Artist или Transform или вызываемый объект, по умолчанию: 'data'
Система координат для xy . Поддерживаются следующие типы значений:
Одно из следующих строк:
Обратите внимание, что 'subfigure pixels' и 'figure pixels' совпадают для родительской фигуры, поэтому пользователи, которые хотят использовать код, пригодный для подрисунка, могут использовать 'subfigure pixels'.
Объект Artist : xy интерпретируется как доля от области Bbox объекта. Например, (0, 0) — это левый нижний угол области, а (0.5, 1) — центр верхней части области. Преобразование Transform для преобразования xy в экранные координаты.
Функция с одним из следующих сигнатур:
def transform(renderer) -> Bbox
def transform(renderer) -> Transform
где renderer — подкласс RendererBase .
Результат функции интерпретируется так же, как в случаях с Artist и Transform выше.
Кортеж (xcoords, ycoords) , задающий отдельные системы координат для x и y . xcoords и ycoords должны быть одного из описанных выше типов. См. Дополнительные аннотации для получения дополнительной информации.
textcoords одинарное или парное значение str или Artist или Transform или вызываемый объект, по умолчанию: значение xycoords
Система координат для xytext .
Все значения xycoords являются допустимыми, а также следующие строки:
arrowprops словарь, необязательно
Свойства, используемые для рисования стрелки FancyArrowPatch между позициями xy и xytext . По умолчанию None, т.е. стрелка не рисуется.
По историческим причинам существуют два способа задания стрелок, "простые" и "сложные":
Простая стрелка:
Если arrowprops не содержит ключ 'arrowstyle', допустимые ключи:
Стрелка прикрепляется к краю текстового поля, точное положение (углы или центры) зависит от направления.
Сложная стрелка:
Используется, если в arrowprops указан ключ 'arrowstyle'.
Допустимые ключи — параметры FancyArrowPatch :
Точное начальное положение стрелки определяется параметром relpos . Это кортеж относительных координат текстового поля, где (0, 0) — левый нижний угол, а (1, 1) — правый верхний угол. Поддерживаются значения <0 и >1, указывающие точки за пределами текстового поля. По умолчанию (0.5, 0.5), поэтому начальная точка находится в центре текстового поля.
annotation_clip bool или None, по умолчанию: None
Определяет, обрезать ли (т.е. не рисовать) аннотацию, когда точка аннотации xy находится за пределами области Axes.
Если True , аннотация будет обрезана, когда xy находится за пределами области Axes. Если False , аннотация всегда будет нарисована. Если None , аннотация будет обрезана, когда xy находится за пределами области Axes и xycoords равен 'data'. **kwargs
Дополнительные kwargs передаются в Text .
Возвращает:
Annotation
Примеры использования matplotlib.axes.Axes.annotate <img alt="" loading="lazy" 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
END_OF_DOCUMENT_MARKER END_OF_DOCUMENT_MARKER <img alt="" loading="lazy" 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2CEuYmE0YHFAbOF7n/HZ5PnivZtMKLPzQ+2ZTa7VwZFSwF/tGsrKgYwg1PFooHlzy2c6Ek2uy6pGhdt0/AI2swB2xcI6cqSGO0fbCVmLpQWEHQGzrgScRehlmZR08RwckQmOPUC2IozOOJjMOBDZqA9/kyKDZDlFoKgv7TuyzoRncZJ+S89G/FpsoTFx7mAjpbLS2c6F0gOL0ZUC6Al5VfIYI/whRBjSSmBdYxp7Cip1SuOECp/a4cxZJP7V1uJw3Gh1HOTuWV8/OUUv5BeZWbkNX6PlWHVAljyIwkPmCEhPj9/OkjcoyQaoLa2Id2f6IWDGXmc97QndwQHw5kr3w+hlufLgj3DDIBFMcj2G6oFcLJLoBkaGqFNeOadu3t1k4D0pyWuLweQC5wG5McYS27gg0fD6LQbjfSjW883b/NvGoXL7Basy4tTfrUCOIKvbwMUZPV8rq2OZk/yjwQUDONSnUWxq1NOYasP1chv27k4yN7BD5fpanIVgyW1zTeKz/hypCuCl4qU8NZTlQLoStmwQLYp0A7u4byPJb5jkhzZyCCkYlenBKBQP6xyHjj2PiTddRj15fqGev0T+Zu8GUKujhFDVaUAkjbEYVYofAg9GSUhIspqlgGtdUIt9nwJgJzZKehkWdFZT8+ayM425MA/8KHy4Q8lQbkRU/CISgHsxRRYB83hSj7VHnpfSA2CgfFCogGZmvlvAJL85bcqIsY9i7fJrE2bd2mPGGRQoTiKGAnEIV3KoU4A1+xYesEgMhIj5GImndfQKMbcc2iRZhjYG5o4g2L+Cn4iLhF98/2dONC6f+e7bJYdiiwKJLhmVyWAphTOqaJiGEEk3naS7dJIFUNLKNSo2Bej4nJfyJ6xG6N+Ext/PLgVaHFIv49sEz/83vFC8eDOKHiAFLneLlUC6F5UKHt+crHvbsTHpBxiCmOVBin0xaaYWWOMVvlP/cQLFL8gK89/eXoIodZroUFHVarzH8mpAVHn0YUNtsj1QZzw6nSkyceqgsnBc+JR9iBvQ6NGxqux6hX64nKD0Y/yhiqy1RuMWgY/IpSrB/d3r4eRpfPt0hFhgyKmhoEHanFf5BxRJYCb1zBesOqFK/kSItlYiLmvtdbM9sVvLv/2d7qIcO4yD4Mf8tiRpQqRO9x1c0l+0sYM6wPkFJIBlpRWjQD27eJrCzUyOaGe9sSWxIka+NkDcCTSYoiVfJh+vLExdzy2WrjRpkLjtuPLY+nHOVg81KaTPGZh2/ae8z4j1EgNeiiCsFBdrFMjgGu4vIaAIaAlIyl72ZkLeQZBzwke6OM/36fj8WQyGY8vvfhQOFamBJ//yINcEFXfWrvBvywiheR0clvx+G43ZAx8SVsNKgSQS1Uhrgg4AjwnnscfUxxOkyTkxJ7pp8nE4fbO+sn984VRb3ZabKFNVp81hvQ5dJ10GQ2DkscsbPc6FoQMhU12AyQVHPGTLSoE0J/CQWIGCRoj3fxCfIdSEbSGAR7Ck7lkemGr9KXw1+p2U8f23bx+0ZXqKnNovhkf97ZYHKQxy/VEuzLnwSrixkk+3KxCAN24tOmsIB+D+NOOH/AFUkwgC6yS9ArUncP4zJa8J/l1qeNcqr+VVm5weDCTqXs+7wYZupee5YGGSp6Da8YxfKD+ZRUCaG3FGgSuCFfjInzSNCvdYaSFrYKL5qy9mfjrVXlfbPp5J/30CcZPKO92vbO1xdPlG7m+yRV0JtmOmqZ6FDnCCkLSg7thwy0VArjbpyBbG3CCnnuPCyoPIlxPcfyrqfhre17NeISqjRa803n8kJ/ReUVigK1meSWN9HCsxA5M1Qr8EXwjKgQwM49TrFpBxTzyjhUCDlI6JQvvPvZuGF4iOYJYB24lNqxSWJn9VzS7+QisgmU4AEjWggGs7FYhgD+sYH6BOhqrvruzTZKVihqhRWyWJ9i9xNO9nzkkRxADeLT0Nnh1Fc9XpSORAy3QT6sGU0aEpytSagBQqyVTK4g33ziOb0TqgejSYtn/6umo1MehCNjBJP86rfGpjjFHQN6TeAiAe9kpoIvkm0/UxCdiFdYyVRdYXDazCWlTotzCH133vQDUXn+ud3febK5YzF3Tra3pVroEiUBdbTOH7mSnCje31TSyZyNtO8nZnmgQ0Qhq0G8FL5Gt2ij/gq3EnPALtBujIGa1+C1NE7xr41/MDe92Zr4TgFxtLtrSnenuGnGd1Xd2OnrxBwmCTs6G+WZLULgigB4IoIwB2zvuoWpqh+KyyrLPZIBNVhNAxJSLpDCWFPtt+BVxMaYVwSTxgKde/NH3e/c3vxsHDtYbz3LLkyto313ZiCaHa132sEsv32Knetdn72PpQZfGyewgPfevpvcfXYag/GlX9Je36fg7+WtO66kDuJwa/tna4/hvwm5DMXqHhiL6LT1/Kdd79vlM6O1F+5E//e+z/38cmHPP93lyw4t1ZyQhJlec4aGSsFG+2duMl++Sny7zf4d3y8AO/dKvl5+S7y7DbRrqeePr9PuH1EvazPQOZbv80+HXHZ+Ft+m3U8+HS3ap119+evvrZcMZz5wtE3Vn/u9XRJb/mipL3d60rOX4+1dICrsBxWkx5R8nx2QprL86hXlDqpoWHYF/fzh9Sbd+IIU9Qgr3TGX3xBQGEdUIUnibqCohhR1rua7vWYXJ8hehdEF49OIG9R2FRQR3woWJBFZT2Ar+9MXM0qrQ+8lqdBDrnFK532UqAviIDuRqdkYcvYbrqrCIvMBMa5oQXaP/Zc7oW+nA5mEsYyIsPhvp+1drClMhXo6WyICL3Dwh+GEZYyn10H0E3W1HRTNmjnZgr+h1cKlqWscy5iu+cv9bAUgcDmhIk06+PX1Cd/K0vSllJBZyWAkXmyn8eDzkCMagEq8W4vPYOy0Wbiikgcc7cIAD3fI193x9y1aOaTRwozXbdEfmzsFOteDA3k/OUf4Uj58QULIV9xBcEbDy+w8c5tsdf0ihHZdtq0sHA8ijxlaOrCl5ID6BKhpAP2wkCpy3JQAYrZbjJ2akFIPF0L/WCpy4ns6rdabbDtF1dj2NAz3yQIUAGloVGCpcTgPILJJ5GkAEaoWBdE7AL09pFrGSVDOjB2Yxg/PDm8xohJl2IMfIApe5VYUAOm8oEJAvSnOg4iKZaKUm2vkujR92FuOvUBOKSwiC1Gi1DK9XB9JVgnWeA2WbJ8s2NRqq+m7Q2vIJ6cNVeP0PzCWRw3hyOhSWnszlBfwKRZUgCEarCxw6Ft+QG2i05U3/vYFVDOpaUSGAps5iYc2QMpwDaK6wpqmgY1AkD9X4YfZITNeKgv9XUCWWUn0N87VEWv6elIGpjntXWd7AH7x4mv34lbMd32xZcwSftR10RjoNetSxI49TyPGF+am5pIiCvqsAlEzW6TLsf/tp5KvWTsfswFVVKkorq/Wm95gTb52qEcDrp8IaCK1j3jzLKzQxo5iZ0byQmRatf1PIrqllATSFrQZmftBaK/iI0jViBgLD9Lr9efyXN8K1Vh+AKz+wfRNqeHnu3aaWKOD8VGXeQr3TRFoRnv+qDDUmAKCrzCnV4kJfwofvdLx94MrDA05c+A91Z/7VRJIH8JeEUN2dGwlJOgkkHAGSdEiiYzKjI4GRQyUIIxBEMKgoKAsGfFzBFVcQdzxGDpW3M66z6u57s/tXblV3Q1JdDcEB56XzmzEG+fS3vld9D24TNYWbihEg8qSJW6XawCS3gkVWZBuJ+Cu2DCJtKdgPulwbUOcBdIVUiIxJQtCNBH45mQsWiR4BNe449qYSb+FjPlK/3FcDWMr7MdJry2ePorF800zcWaAiNfEMc0OQnxi6VnvtpX4XRWuByVGp2x1kghOsQ7huDOXKr8V6WLDvFcB44hfo91y4XJQANWf00OsySiOFheQSNvKPIeprVeKxW5uPjm3lQn91TYNFZe/U6kK1OdMk+IO7xxPpxIF4aiGnMRz7GXnhlY18XAfg5LdFCRCgjZmEn1dVsribqRMdGUKBN+6eu2zkpeRShdZYJZ5lngz6kXSNp6M5N8lI1F8bMLeAioU3dwD4xlqcAEc7iSeOzMpK/BZGgOxy8Il6ce1deIbQkNIP7xHUoBHHy6lcBx5UsFJH0YS70Q+6lq7QgDpa1/rXA9g5KnPtaNqaYrO45idmJFJCxwK19T48f7sQwD1bbIB68fkgO9ySlz2TqgdJ39QU9/oZfMhH67n+egADP8KnS7Srb82EJ/ATS5gR4EJ1+hRjAyvsRG8hgCLBcuhDP59gY6t5XjpRfY/Xw7bEwm+ahAddlADp636yxBLU/p5cWsWda7Its0lF05AfWOvnMjcKAeQtiZ+hwVqM7V/I9/mkR1ON3yI/ii6ikb4/nC5SgPz/jPDzyphYAh96WiEzWtBmEYb7PkqK9YAHAQQmrU9lBA/62f78E+8gpoV48MBxmn34ggZ0s6dYAbb9INMbBLYyEiUILDLzO9vE9Udj6fjDlkIAgf/7AJhcYmP58keriCtKCyaSq6mut9ALdB5x7MRXBFiBSk6I3iDPG5QExlQeYYgpJmgTMzmTSW54rQDAgGpdO90VX8H0ZVOIUJb4z5mJTCA/8eLNogUIzkMtXi6tk9+4spR+IImQ6yX8UPwRECfJjKfYxbEDATZYNsYHc9XTor4jRxY6bbgTGJl5Af3ES+7iBXixFYoXoYkqP0YGJEELPiER2V8kwFaB6+0JLvpwYX83xuJczkS5wTe4yfDaCO9Iq8HDuMXfoJA6mo3FCzDYTMnEajub4Zhk+jg2XI1iRO/bWCWUULdMpdn5gTV5gE3a36eTbDLbu4PFxQ7SMklmoA2zU8/gvzg1CooXILhUJdOZAf7zrmtE6qDVS+VPoGNv4OVjZDjBzU+PQOySjHzdlc2hNNuVWZZkFnLzHfOMCvbWSNfSbVQPfF5XzADPXRPmEkhE8CM3LXmL37FA8IN/qrQ6+WTd2FCUjcayY1fyFN3qyPuX78JcMvNgN6rby9+6baSlwY3KHJt1eKFYNquLGWDJGaOYJsZeb8OpVWkGQZzVhPNDaJ1atwP5v48epsJsODk4PD3QM9PzJJuZSCW4SDr2ZCHPoxYJ2qoAGR/qcSc6uWA5jsFFX3n83f1Zwn1Fv+jL/BItMcugE9JdpOjQNVUqdwBKaO94diKZCMfjHIu2BIXT/Ss9y5LMAk/QoyUHCErm4A6z2R34E+lmZ3EDfHwHNUITGfMebpBYYuH1ysjfrkpzlBtUhlB5fWXn283XH1/PZaanesZvk7tEeD1YfYIceyyZgzuWWHreACNN5hIoboDqM9ANrCSecu8idrkp5ups9D78hDNYVldTb5v1e9Z3Nvb/FCSokZt51IDl1dpj3MAGEtNv2oocILgIzYiRGO1EP+EmCBGkdafrC/6fqtAHNCdmZdJ7khqGnkh/byVEWnNWU+wAXd11MtMzZEWQ0s0GC31d4c2GJuusTGitwqAuLIUnaVR003cXFDtA0HpXnNmMv57E//tpXRL/1tKGhqMCdFlLjOQ0eadP4sIM863Fdd11xQ/Q0a3nx4ZLRfD89vbnGpwflJSQRX0kgDXWOswflD3Ak4nk8gYyKndbQfEDBKMXZQbc0euft7e3P+VZG0Y45rVa/REAOoVtfBKCkiKktVT8CT8cr6zboQSATd1l/ARY/CUBmPNfHAeuczgQoMbipoiYBDlIWI3gjTl2iDIiDYj2TCgAIOg7KbeO4NPn7f/9Oyd/Of9FLzP581AAm6z1Uo9acNHxfFBPeGkZeGvRttlGZQBsvFpBbmTx/WVrMxLrlYt/QdBa8+UANVVY7WmOYIUdex4jycQMcKEKj76TQBkAhaPCYHqo85W5oX1QvMOlGImbU6YzuL4MIGWz1wO5qA7oT2BJmOeDqOiLKYGC2a1XCkDNWeid1OWX9Yx+MD9lwHgXX0VA8OOj2VDZ4QHSAbuP8Ig1PEFKi10ZUSssFHv+OBzTTqo/Za/cLKqC9+0FU2UdZrP56QUApiK//AbUKtkxugF7qetwAKmA1i0nTIggpcO/PBufX4Z/AW31heu0cgCCO50onyQCqfy7GQFs45c5vHRY9hlDTAUYQw1VEGB1g710n+XiGnuNG7f+PYmuMQCqAqgm0AsUBDCIDF6FcCmmfWXmX2jYzcJi/OOz/f9ZRUhV6lHvD5CutumY4P7hrEmynHSyK9EjFiG1XgNKAgguok4MH++Pef/2Mw+Q7+kc6wr/a/0g9VkTUlmCdZqcT7yHUu/xMTrbQZvtaYtPlW/Px5PxLLIu8Nvcx2RB/jSA4N5pNLNEKE35jgeI4nhq6300unlwcRTV6LQwTKnNX+LSa/RWjQmltcotjK9Uf3BlrlrnxPzBR0vcwxuAZuA76rNaoDCA9R0OtAISiZIa6sBXv5r7ENFaqNbTbwpmsSiTI1geshgMuk6DwVLltfldBa8yyuzBPVvM85vn5loAKEe6r+8aUBpAcA7tlPajvP2pp2bzaFmriucHqExk/p/PDrknlFbb6UMaT4c4LUpjFXqVxue5lXb4NqovenxGozyA4DJy/NGey5+gAKIoXvRfWla41NsXh6yTpw579Gx7d0iCDI4leX78Pk9PhxMoEKC+W4uyzo7HUAAv5fgB0D7MQoIVxwlQnZ8WQwRvpSMZeH7VVvhj6HungBIBAm8HDAqM7r+azT/bQL7/3LvCzU++8FHHBrDEjsXWGuZ9NIyq5GgD0rZ93wFlAgSdzaha64PZfDWX/xNkcC6SvBXUVhwPQMorKWxrz0SifDWOGyW8T/1oVCpAcBN6g2fN5g8WafzbMh2ODriYwkJ4CIAldiduZ25PcMlNpHQbUAhs6fAAxQIE9096oBf9k2B/sddANJzptdn9RwWoD0nXAE6m2MVHG9AWV6IZRfUdVUDBADV3oAZ8+r2bIa/fJpNc7MGOW+U4CkCNzy4ZyNuejcZRgaZGZTFQKDc5C5QMENTzAjh7WsYNHhmwQ2jSAAAIBElEQVRkkz3AZdA1/lGAaqfdJlECIzGua4C/gXae86MlRaeAsgFeQwJYGqixy/h9q5lEeGUBreIr+SMANU57ucQ89E6luf5xIQVk0Ns9xnt3gbIB6v8BTchdB9plJpcFmFli52dQf4cqaPxCgBUhbaU0vBgb5KLTQhmYz0IBo7b5JlA4wG/NZvP9btQfXiG7M2l5
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