pystats.dnorm
=============

.. py:module:: pystats.dnorm


Functions
---------

.. autoapisummary::

   pystats.dnorm.dnorm


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

.. py:function:: dnorm(x, mean=0, sd=1)

   Calculates the Probability Density of the normal distribution at a given point.

   :param x: The point at which to evaluate the PDF.
   :type x: float
   :param mean: The mean (average) of the normal distribution. Default is 0.
   :type mean: float, optional
   :param sd: The standard deviation of the normal distribution. Default is 1.
   :type sd: float, optional

   :returns: **result_df** -- A DataFrame containing the input value and the corresponding PDF value.
   :rtype: pandas.DataFrame

   :raises ValueError: If `sd` is zero or negative, as the standard deviation must be a positive number.
   :raises TypeError: If any of the input parameters (`x`, `mean`, `sd`) are not numerical.

   .. rubric:: Example

   >>> dnorm(1.96, mean=0, sd=1)
          x       PDF
   0   1.96  0.058440

   >>> result_df = dnorm(1.96, mean=0, sd=1)
   >>> result_df
          x       PDF
   0   1.96  0.058440