Merge pull request #585 from spedas/elfin-epd-calibration

Elfin epd calibration

pyspedas/elfin/__init__.py

@@ -1,5 +1,11 @@
+from functools import wraps
+
 from .load import load
+from .epd.epd import elfin_load_epd
 
+@wraps(elfin_load_epd)
+def epd(*args, **kwargs):
+    return elfin_load_epd(*args, **kwargs)
 
 def fgm(trange=['2020-10-01', '2020-10-02'],
         probe='a',
@@ -86,90 +92,8 @@ def fgm_postprocessing(variables):
     return variables
 
 
-def epd(trange=['2020-11-01', '2020-11-02'],
-        probe='a',
-        datatype='pef', 
-        level='l1', 
-        suffix='',  
-        get_support_data=False, 
-        varformat=None,
-        varnames=[],
-        downloadonly=False,
-        notplot=False,
-        no_update=False,
-        time_clip=False):
-    """
-    This function loads data from the Energetic Particle Detector (EPD)
-    
-    Parameters
-    ----------
-        trange : list of str
-            time range of interest [starttime, endtime] with the format 
-            'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day 
-            ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss']
-
-        probe: str
-            Spacecraft identifier ('a' or 'b')
-
-        datatype: str
-            Data type; Valid options:
-                'pef' for L1 data
-                'pif' for L1 data
-                'pes' for L1 data
-                'pis' for L1 data
-
-        level: str
-            Data level; options: 'l1' (default: l1)
-
-        suffix: str
-            The tplot variable names will be given this suffix.  By default, 
-            no suffix is added.
-
-        get_support_data: bool
-            Data with an attribute "VAR_TYPE" with a value of "support_data"
-            will be loaded into tplot.  By default, only loads in data with a 
-            "VAR_TYPE" attribute of "data".
-
-        varformat: str
-            The file variable formats to load into tplot.  Wildcard character
-            "*" is accepted.  By default, all variables are loaded in.
-
-        varnames: list of str
-            List of variable names to load (if not specified,
-            all data variables are loaded)
-
-        downloadonly: bool
-            Set this flag to download the CDF files, but not load them into 
-            tplot variables
-
-        notplot: bool
-            Return the data in hash tables instead of creating tplot variables
-
-        no_update: bool
-            If set, only load data from your local cache
-
-        time_clip: bool
-            Time clip the variables to exactly the range specified in the trange keyword
-
-    Returns
-    ----------
-        List of tplot variables created.
-
-    """
-    tvars = load(instrument='epd', probe=probe, trange=trange, level=level, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, time_clip=time_clip, no_update=no_update)
-
-    if tvars is None or notplot or downloadonly:
-        return tvars
-
-    return epd_postprocessing(tvars)
 
 
-def epd_postprocessing(variables):
-    """
-    Placeholder for EPD post-processing 
-    """
-    return variables
-
 
 def mrma(trange=['2020-11-5', '2020-11-6'],
         probe='a',