:py:mod:`BioSANS2020.analysis.plotting.plot_traj`
=================================================

.. py:module:: BioSANS2020.analysis.plotting.plot_traj

.. autoapi-nested-parse::

                          This is the plot_traj module

   This module process numeric trajectories and plots them

   The following is the list of function for this module:

   1. plot_traj
   2. plot_traj2



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


Functions
~~~~~~~~~

.. autoapisummary::

   BioSANS2020.analysis.plotting.plot_traj.plot_traj
   BioSANS2020.analysis.plotting.plot_traj.plot_traj2



.. py:function:: plot_traj(data, slabels, items, plotted, mix_plot=True, logx=False, logy=False, normalize=False, si_ticked=None)

   This function plots time series trajectories.
   Args:
       data : three dimensional data. The outermost index represents
              the trajectories. Each row of trajectory contains a 2 x 2
              numpy array where the rows is the time and the columns
              are the labels. The first column is time and the next few
              columns are the trajectories.
       slabels : labels of the trajectories in data
       items : 3 item list of [canvas, scroll_x, scroll_y]
       plotted : an array where the figures plotted are pushed i.e.
                 plotted.append([plt.gca(), fig, lines]). This is used
                 for managing the plots in the GUI.
       mix_plot : if true, the all data will be plotted together in one
                  plot otherwise in seperate plots
       logx : if true, uses logscale in x-axis
       logy : if true, uses logscale in y-axis
       normalize : normalized the data based on max(data)
       si_ticked : list of indexes in slabels to be shown in plot


.. py:function:: plot_traj2(data, slabels, items, plotted, logx=False, logy=False, normalize=False, xlabel='conc', ylabel='conc', zlabel='conc', trange=None)

   This function plots time series trajectories or phase portriat.
   Args:
       data : three dimensional data. The outermost index represents
              the trajectories. Each row of trajectory contains a 2 x 2
              numpy array where the rows is the time and the columns
              are the labels. The first column is time and the next few
              columns are the trajectories.
       slabels : labels of the trajectories in data
       items : 3 item list of [canvas, scroll_x, scroll_y]
       plotted : an array where the figures plotted are pushed i.e.
                 plotted.append([plt.gca(), fig, lines]). This is used
                 for managing the plots in the GUI.
       logx : if true, uses logscale in x-axis
       logy : if true, uses logscale in y-axis
       normalize : normalized the data based on max(data)
       xlabel : label of x-axis
       ylabel : label of y-axis
       zlabel : label of y-axis
       trange : slice indexes of the trajectory i.e. -1000:-1