scripts.analysis.amwg_table
===========================

.. py:module:: scripts.analysis.amwg_table


Functions
---------

.. autoapisummary::

   scripts.analysis.amwg_table.amwg_table
   scripts.analysis.amwg_table._get_row_vals
   scripts.analysis.amwg_table._df_comp_table


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

.. py:function:: amwg_table(adf)

   Main function goes through series of steps:
   - load the variable data
   - Determine whether there are spatial dims; if yes, do global average (TODO: regional option)
   - Apply annual average (TODO: add seasonal here)
   - calculates the statistics
     + mean
     + sample size
     + standard deviation
     + standard error of the mean
     + 5/95% confidence interval of the mean
     + linear trend
     + p-value of linear trend
   - puts statistics into a CSV file
   - generates simple HTML that can display the data

   Description of needed inputs from ADF:

   case_names      -> Name(s) of CAM case provided by "cam_case_name"
   input_ts_locs   -> Location(s) of CAM time series files provided by "cam_ts_loc"
   output_loc      -> Location to write AMWG table files to, provided by "cam_diag_plot_loc"
   var_list        -> List of CAM output variables provided by "diag_var_list"
   var_defaults    -> Dict that has keys that are variable names and values that are plotting preferences/defaults.

   and if doing a CAM baseline comparison:

   baseline_name     -> Name of CAM baseline case provided by "cam_case_name"
   input_ts_baseline -> Location of CAM baseline time series files provied by "cam_ts_loc"



.. py:function:: _get_row_vals(data)

.. py:function:: _df_comp_table(adf, output_location, case_names)