qmmd.qmcalc.visAnalysis.plotFigs
================================

.. py:module:: qmmd.qmcalc.visAnalysis.plotFigs


Attributes
----------

.. autoapisummary::

   qmmd.qmcalc.visAnalysis.plotFigs.parser


Functions
---------

.. autoapisummary::

   qmmd.qmcalc.visAnalysis.plotFigs.lin_reg
   qmmd.qmcalc.visAnalysis.plotFigs.plot_benchmarking_bar
   qmmd.qmcalc.visAnalysis.plotFigs.plot_barriers_bar
   qmmd.qmcalc.visAnalysis.plotFigs.plot_regression_analysis
   qmmd.qmcalc.visAnalysis.plotFigs._plot_single_regression
   qmmd.qmcalc.visAnalysis.plotFigs._plot_charge_correlations


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

.. py:function:: lin_reg(m: float, c: float, r2: float, xlimit: Tuple[float, float], leg_loc: str, font_size: str = 'x-small') -> None

   Plot linear regression line and its equation/R2.

   :param m: Slope.
   :type m: float
   :param c: Intercept.
   :type c: float
   :param r2: R-squared value.
   :type r2: float
   :param xlimit: X-axis limits.
   :type xlimit: Tuple[float, float]
   :param leg_loc: Legend location.
   :type leg_loc: str
   :param font_size: Font size for the legend.
   :type font_size: str, optional


.. py:function:: plot_benchmarking_bar(save_path: str = 'Benchmarking Statistical Measures.png') -> None

   Plot benchmarking statistical measures.

   :param save_path: Path to save the plot.
   :type save_path: str, optional


.. py:function:: plot_barriers_bar(save_path: str = 'Elimination Barrier for Different Mechanisms.png') -> None

   Plot elimination barriers.

   :param save_path: Path to save the plot.
   :type save_path: str, optional


.. py:function:: plot_regression_analysis(data_path: str = '.', combination: str = 'outputs/CombinationI') -> None

   Plot various regression analyses.

   :param data_path: Path to the data directory.
   :type data_path: str, optional
   :param combination: Combination ID.
   :type combination: str, optional


.. py:function:: _plot_single_regression(df: pandas.DataFrame, config_dict: Dict[str, Any], x_col: str, y_col: str, x_label: str, y_label: str, save_path: str) -> None

   Internal helper to plot a single regression analysis.


.. py:function:: _plot_charge_correlations(df: pandas.DataFrame, prop_dict: Dict[str, Any], combination: str) -> None

   Internal helper to plot multiple charge correlations.


.. py:data:: parser