class_docstr: Table wraps a byte slice and provides read access to its data.
  
  The variable `Pos` indicates the root of the FlatBuffers object therein.
class_docstr_tok: ["Table","wraps","a","byte","slice","and","provides","read","access","to","its","data",".","The","variable","`","Pos","`","indicates","the","root","of","the","FlatBuffers","object","therein","."]
docstr: GetArrayAsNumpy returns the array with fixed width that starts at `Vector(offset)`
  with length `length` as a numpy array with the type specified by `flags`. The
  array is a `view` into Bytes so modifying the returned will modify Bytes in place.
docstr_tok: ["GetArrayAsNumpy","returns","the","array","with","fixed","width","that","starts","at","`","Vector","(","offset",")","`","with","length","`","length","`","as","a","numpy","array","with","the","type","specified","by","`","flags","`",".","The","array","is","a","`","view","`","into","Bytes","so","modifying","the","returned","will","modify","Bytes","in","place","."]
code: def GetArrayAsNumpy(self, flags, off, length):
      """
      GetArrayAsNumpy returns the array with fixed width that starts at `Vector(offset)`
      with length `length` as a numpy array with the type specified by `flags`. The
      array is a `view` into Bytes so modifying the returned will modify Bytes in place.
      """
      numpy_dtype = N.to_numpy_type(flags)
      return encode.GetVectorAsNumpy(
          numpy_dtype, self.Bytes, length, off
      )
  
file_path: flatbuffers/python/flatbuffers/table.py
imports: from .None import encode
  from .None import number_types
label_desc: Use image node_id 11 for calling the Table obj's underlying member method code with example usage: obj.GetArrayAsNumpy(flags, off, length) and returns: encode