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                      "value": "Object containing the rigid transform represented by the input translation."
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              "value": "Initialize from a translation numpy array, without a rotation."
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                      "value": "Translation vectors. Each translation[..., :] represents a 3D translation vector."
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              "value": "When applying this transform to a vector "
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              "value": "v"
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              "value": ", the result is the same as if the translation and vector were added together. If "
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              "value": " is the displacement vector of the translation, then:"
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  "item_type": "staticmethod",
  "aliases": [
    "scipy.spatial.transform.RigidTransform.from_translation"
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        "value": "from scipy.spatial.transform import RigidTransform as Tf\nimport numpy as np\n",
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        "value": "\nCreating a transform from a single translation vector:\n\n"
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        "value": "t = np.array([2, 3, 4])\nt + np.array([1, 0, 0])\ntf = Tf.from_translation(t)\ntf.apply([1, 0, 0])\ntf.single\n",
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        "value": "tf.as_matrix()\nnp.allclose(tf.as_matrix()[:3, 3], t)\n",
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        "out": "True\n"
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      {
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        "value": "\nCreating multiple transforms from an N-dimensional array of translation\nvectors:\n\n"
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        "value": "t = np.array([[2, 3, 4], [1, 0, 0]])\nt + np.array([1, 0, 0])\ntf = Tf.from_translation(t)\ntf.apply([1, 0, 0])\nnp.allclose(tf.as_matrix()[:, :3, 3], t)\ntf.single\nlen(tf)\n",
        "execution_status": "success",
        "out": "2\n"
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  "qa": "scipy.spatial.transform._rigid_transform:RigidTransform.from_translation",
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