pycufsm.post.plotters
=====================

.. py:module:: pycufsm.post.plotters


Functions
---------

.. autoapisummary::

   pycufsm.post.plotters.cross_sect
   pycufsm.post.plotters.dispshap
   pycufsm.post.plotters.thecurve3
   pycufsm.post.plotters.simple_cross_sect


Module Contents
---------------

.. py:function:: cross_sect(nodes: numpy.ndarray, elements: numpy.ndarray, springs: numpy.ndarray, constraints: numpy.ndarray, flags: List[int]) -> None

   plot cross-section

   Args:
       nodes (np.ndarray): [node# x z dofx dofz dofy dofrot stress] nnodes x 8;
       elements (np.ndarray): [elem# nodei nodej t mat#] nelems x 4;
       springs (np.ndarray): _description_
       flags (List[int]): [node# element# mat# stress# stresspic coord constraints
           springs origin propaxis] 1 means show

   BWS
   October 2001 (last modified)
   December 2015 springs updated
   December 2015 origin updated to also show axes
   December 2015 added stress distribution into this plot instead of separate
   December 2015 added an additional flag for section property axes
   plots the cross-section


.. py:function:: dispshap(undef: int, nodes: numpy.ndarray, elements: numpy.ndarray, mode: numpy.ndarray, scalem: float, springs: numpy.ndarray, m_a: numpy.ndarray, B_C: str, surf_pos: float) -> None

   Cross section displacement function

   Args:
       undef (int): _description_
       nodes (np.ndarray): _description_
       elements (np.ndarray): _description_
       mode (np.ndarray): _description_
       scalem (float): _description_
       springs (np.ndarray): _description_
       B_C (str): _description_
       surf_pos (float): _description_


.. py:function:: thecurve3(curvecell: numpy.ndarray, clas: int, filedisplay: list, minopt: int, logopt: int, clasopt: int, xmin: float, xmax: float, ymin: float, ymax: float, modedisplay: list, fileindex: int, modeindex: int, picpoint: list) -> None

   _summary_

   Args:
       curvecell (np.ndarray): _description_
       clas (int): _description_
       minopt (int): _description_
       logopt (int): _description_
       clasopt (int): _description_
       xmax (float): _description_
       ymin (float): _description_
       ymax (float): _description_
       modedisplay (list): _description_
       fileindex (int): _description_


.. py:function:: simple_cross_sect(nodes: numpy.ndarray) -> None

   Simple cross section plotter for debugging or quick previews. Assumes that nodes are all in order
   and continuously connected.

   Args:
       nodes (np.ndarray): Array of nodes with columns [x z ...]