docstr: (c_intp*self.ndim): A ctypes array of length self.ndim where
  the basetype is the same as for the shape attribute. This ctypes array
  contains the strides information from the underlying array. This strides
  information is important for showing how many bytes must be jumped to
  get to the next element in the array.
docstr_tok: ["(","c_intp","*","self.ndim",")",":","A","ctypes","array","of","length","self.ndim","where","the","basetype","is","the","same","as","for","the","shape","attribute",".","This","ctypes","array","contains","the","strides","information","from","the","underlying","array",".","This","strides","information","is","important","for","showing","how","many","bytes","must","be","jumped","to","get","to","the","next","element","in","the","array","."]
code: def strides(self):
      """
      (c_intp*self.ndim): A ctypes array of length self.ndim where
      the basetype is the same as for the shape attribute. This ctypes array
      contains the strides information from the underlying array. This strides
      information is important for showing how many bytes must be jumped to
      get to the next element in the array.
      """
      return self.strides_as(_getintp_ctype())
  
imports: import ast
  import re
  import sys
  import warnings
  from ..exceptions import DTypePromotionError
  from .multiarray import dtype, array, ndarray, promote_types
label_desc: Use image node_id 7 for calling the _ctypes obj's underlying member method code with example usage: obj.strides() and returns: self