In order to maximize the work done, an effort to make available also the generic functions is carried out with this script. Most of them follow a similar structure:

        $ python generic.py -o [operation] -S [values]
      

In most of the cases [values] is a string which contains a list of values separated by a character [sep], becomming the value as:

      [values]=[val1][sep][val2][sep][...[valN]]

One can obtain all the list of operations and their instructions by demanding to the script:

        $ python generic.py -o list_operations
      

For almost all operations, one can obtain all the help of a specific operation by:

        $ python generic.py -o [operation] -S h
      

One should be able to obtain an example of execution by

        $ cat generic.py | grep [operation] | grep 'e.g.'
      

Available operations:

• coincident_CFtimes: Function to make coincident times for two different sets of CFtimes
• count_cond: Function to count values of a variable which attain a condition
• datetimeStr_conversion: Function to transform a string date to an another date object
• grid_combinations: Function to provide all the possible grid points combination for a given pair of values
• x,y= pair of grid points
• interpolate_locs: Function to provide interpolate locations on a given axis
• PolyArea: Function to compute the area of the polygon following 'Shoelace formula'
• radial_points: Function to provide a number of grid point positions for a given angle
• radius_dist: Function to generate a matrix with the distance at a given point
• rmNOnum: Removing from a string all that characters which are not numbers
• running_mean: Function to compute a running mean of a series of values
• significant_decomposition: Function to decompose a given number by its signifcant potencies
• squared_radial: Function to provide the series of radii as composite of pairs (x,y) of gid cells
• Npt= largest amount of grid points on x and y directions
• table_tex_file: Function to write into a file a LaTeX tabular from a table of values
• unitsDate: Function to know how many units of time are from a given pair of dates
• variables_values: Function to provide values to plot the different variables values from ASCII file
• wdismean: Function to compute the mean value weighted to its 4 distances