Input column name and max value in that column. Function converts values in to sin and cos components.

cos_sin.py

# Convert cyclical values from standard 0..N values in to radians
def degrees_2_rads(row):
    radians = math.radians(row)
    return radians

def rads_2_cos_val(row):
    cos_val  = math.cos(row)
    return cos_val

def rads_2_sin_val(row):
    sin_val = math.sin(row)
    return sin_val

#Input column name and max value in that column. Function converts values in to sin and cos components
def calc_cyclical_coord(column, max_value):
    
    for i in range(len(merged_dfs)):
        data = merged_dfs[i]
        # create new columns
        new_column_name_c = column + "_c"
        new_column_name_s = column + "_s"
        data[new_column_name_c] = 0.0
        merged_dfs[i][new_column_name_c] = 0.0
        data[new_column_name_s] = 0.0
        merged_dfs[i][new_column_name_s] = 0.0
        
        #iterate through rows and calculate new values
        try:
            data[column] = data[column].apply(int)
        except:
            print('Exception Caught')
            pass
                
        data[column] *= (360/max_value)
        data[new_column_name_c] = data[column].apply(degrees_2_rads)
        data[new_column_name_c] = data[new_column_name_c].apply(rads_2_cos_val)

        data[new_column_name_s] = data[column].apply(degrees_2_rads)
        data[new_column_name_s] = data[new_column_name_s].apply(rads_2_sin_val)
        del data[column]
        
        merged_dfs[i][new_column_name_c] = data[new_column_name_c]
        merged_dfs[i][new_column_name_s] = data[new_column_name_s]
        
    return data