dsci_524_ezplot.plot_histogram
==============================

.. py:module:: dsci_524_ezplot.plot_histogram


Functions
---------

.. autoapisummary::

   dsci_524_ezplot.plot_histogram.plot_histogram


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

.. py:function:: plot_histogram(df, column=None, bins=10, title=None, xlabel=None, ylabel=None, color=None)

   Create a histogram for numeric data or a bar plot for categorical data
   from a pandas DataFrame or a NumPy array.

   :param df: Input data containing the values to plot.
   :type df: pandas.DataFrame or numpy.ndarray
   :param column: Column name for the values to plot in the histogram/bar plot (only applicable for DataFrame).
                  If None, all columns will be used (only for DataFrame input with numeric data).
   :type column: str or None, optional
   :param bins: Number of bins for the histogram. Default is 10 (ignored for categorical data).
   :type bins: int, optional
   :param title: Title of the plot. If None, no title is added.
   :type title: str, optional
   :param xlabel: Label for the x-axis. If None, no label is added.
   :type xlabel: str, optional
   :param ylabel: Label for the y-axis. If None, no label is added.
   :type ylabel: str, optional
   :param color: Color for the bars in the plot. Default is None (Matplotlib default colors are used).
   :type color: str or list, optional

   :returns:

             - matplotlib.figure.Figure
                 The figure object containing the plot.
             - matplotlib.axes.Axes
                 The axes object containing the plot elements.
   :rtype: tuple

   :raises TypeError: If input data is not a DataFrame or a NumPy array.
   :raises ValueError: If the data is empty or contains all NaN values.
       If `bins` is not a positive integer.