ó
Wêcc           @   s‘   d  d l  Z d  d l Z d  d l Z d  d l Z d  d l Z d d „ Z	 d „  Z
 d „  Z d „  Z d d „ Z d	 „  Z d
 „  Z d d „ Z d S(   iÿÿÿÿNs   1970-01-01 00:00:00 UTCc         C   sŠ   xƒ | D]{ } yZ t  j | ƒ } d j | ƒ | j j d <t  j | ƒ } | |  } t  j | | g ƒ } Wq | |  f GH| } q Xq W| S(   s   
    Retrieves the desired radar variables from a list
    of radar files

    Parameters
    ----------
    var: dictionary of the desired variables
    tempDataSet: empty xarray dataset
    fileList: list of files from the same day
    epoch: Time reference used by the radar software
        to define the starting point. The W-Band radar
        uses 1970-01-01 00:00:00 UTC as starting reference time
        (default: 1970-01-01 00:00:00 UTC)

    Returns
    -------
    tempDataSet: xarray dataset containing the desired variables

    s   seconds since 1970-01-01 {0}t   units(   t   xrt   open_datasett   formatt   timet   attrst	   decode_cft   merge(   t   vart   tempDataSett   fileListt   epocht   filePatht   tempDSt	   tempDSVar(    (    s$   /home/s/Sukanya.Patra/resampleLib.pyt   getVar   s    
c         C   sK   t  j t |  ƒ t | ƒ f ƒ | } | t  j |  t |  ƒ d f ƒ } | S(   sa  
    Calculates the distance between the reference grid
    and the radar grid (time or range)

    Parameters
    ----------
    refGrid: reference grid (array[n])
    radarGrid: radar grid (array[m])

    Returns
    -------
    deltaGrid: distance between each element from
        the reference grid to each element from the
        radar grid

    i   (   t   npt   onest   lent   reshape(   t   refGridt	   radarGridt	   radGrid2dt	   deltaGrid(    (    s$   /home/s/Sukanya.Patra/resampleLib.pyt   calcRadarDeltaGrid=   s    "c         C   sb   t  j t |  ƒ d d ƒ} t  j t |  ƒ d d ƒ} t  j | t  j ƒ } t  j | | | k <| S(   sh  
    Identify the index of the deltaGrid that fulfil
    the resampling tolerance

    Parameters
    ----------
    deltaGrid: output from calcRadarDeltaGrid
    tolerance: tolerance distance for detecting
        the closest neighbour (time or range)

    Returns
    -------
    gridIndex: array of indexes that fulfil the resampling
        tolerance

    t   axisi   (   R   t   argmint   abst   mint   arrayt   floatt   nan(   R   t	   tolerancet	   gridIndext   deltaGridMin(    (    s$   /home/s/Sukanya.Patra/resampleLib.pyt   getNearestIndexM2W   s
    c         C   sø   t  j | j d | j d f ƒ t  j } t  j | j d | j j j d f ƒ t  j } xC t | ƒ D]5 \ } } y | |  j t | ƒ | | <Wqg qg Xqg W| j } | j } x< t | ƒ D]. \ }	 }
 y | t |
 ƒ | |	 <Wq¿ q¿ Xq¿ W| j S(   sí  
    It resamples a given radar variable using the
    time and range index calculated by getNearestIndexM2

    Parameters
    ----------
    var: radar variable name to be resampled
    xrDataset: xarray dataset containing the variables to
        be resampled
    timeIdexArray: time resampling index (output from getNearestIndexM2)
    rangeIndexArray: range resampling index (output from getNearestIndexM2)

    Returns
    -------
    resampledArr: time/range resampled numpy array

    i    (	   R   R   t   shapeR   t   ranget   valuest	   enumeratet   intt   T(   R   t	   xrDatasett   timeIndexArrayt   rangeIndexArrayt   resampledArrt   resampledTimeArrt   tt	   timeIndext   resampledTimeArrTrat   rt
   rangeIndex(    (    s$   /home/s/Sukanya.Patra/resampleLib.pyt   getResampledVarq   s    *0		t   2sc         C   sj   t  j |  j |  j |  j d d d ƒ } t  j |  j |  j |  j d d d ƒ } t  j | | d | ƒ} | S(   s(  
    Genetates the time reference grid used for
    resampling the data

    Parameters
    ----------
    date: date for resampling (pandas Timestamp)
    dateFreq: resolution of the reference grid (str, default=2s)

    Returns
    -------
    timeRef: time reference grid (DatetimeIndex)

    i    i   i;   t   freq(   t   pdt   datetimet   yeart   montht   dayt
   date_range(   t   datet   dateFreqt   startt   endt   timeRef(    (    s$   /home/s/Sukanya.Patra/resampleLib.pyt
   getTimeRef   s    c         C   s)  t  j |  j j d |  j j ƒ} |  j j | d <t  j | j j d | j j ƒ} | j j | d <| j | ƒ } | j d d g d t g ƒ } | j d d g ƒ } | d =t	 j
 | j d d d	 i |  j d 6| j d 6ƒ} |  j j | j _ t	 j i | d
 6ƒ } i d d 6d d 6d d 6d d 6| S(   s  
    Experimental function for merging 2 datasets with
    time duplicates

    Parameters
    ----------
    xrDS1: a given xarray dataset A
    xrDS2: a given xarray dataset B

    Returns
    -------
    clearDS: time duplicates free xarray dataset

    t   indext   timest   byt	   ascendingt   subsett   dimsR   R%   t   coordst   skt   Zgt   RMSgt   VELgt   elv(   R   R%   N(   R7   t	   DataFrameRJ   R&   R   t   appendt   sort_valuest   Truet   drop_duplicatesR   t	   DataArrayR%   RC   R   t   Datasett   None(   t   xrDS1t   xrDS2t   pdDF1t   pdDF2t   mergedDFt   cleanDFt   cleanDAt   cleanDS(    (    s$   /home/s/Sukanya.Patra/resampleLib.pyt   dropTimeDuplicatesÀ   s     !! c         C   sÅ   t  j | ƒ } xo |  j ƒ  D]a } | t  j | d d d ƒ} t j | | d i | d 6| d d 6d d ƒ} | |  | <q Wt j i |  d d 6|  d	 d
 6|  d d 6ƒ } d | j j d <| S(   s¶  
    It extracts the desired data from the
    radar files

    Parameters
    ----------
    variablesToGet: dictionary of the variables to
        be retrieved
    datasetNC: original full w-band data converted
        to a xarray dataset
    epoch: Time reference used by the radar software
        to define the starting point.

    Returns
    -------
    joyrad94Temp: xarray dataset containing the
        retrieved variables

    R   t   unitt   sRI   R%   RH   t   zeRK   t   vmRM   t   swRL   s%   seconds since 1970-01-01 00:00:00 UTCR    (   R   R%   (	   R7   t   to_datetimet   keyst   to_timedeltaR   RT   RU   R   R   (   t   variablesToGett	   datasetNCR   R   t
   correcTimet   tempVart   joyrad94Temp(    (    s$   /home/s/Sukanya.Patra/resampleLib.pyt   getDataWbandë   s    	s   2001-01-01 00:00:00c         C   sh   xa | D]Y } y: t  j | ƒ } t |  | | ƒ } t j | | g ƒ } Wq d | GH| } q Xq W| S(   s#  
    Retrieves the desired radar variables from a list
    of radar files

    Parameters
    ----------
    variablesToGet: dictionary of the desired variables
    tempDataSet: empty xarray dataset
    fileList: list of files from the same day
    epoch: Time reference used by the radar software
        to define the starting point. The W-Band radar
        uses 2001-01-01 00:00:00 as starting reference time
        (default: 2001-01-01 00:00:00)

    Returns
    -------
    tempDataSet: xarray dataset containing the desired variables

    s   ERROR some where(   t   ncRU   Rm   R   R   (   Rh   R	   R
   R   R   t
   joyrad94NCR   (    (    s$   /home/s/Sukanya.Patra/resampleLib.pyt   getVarWband  s    	(   t   pandasR7   t   numpyR   t   xarrayR   t   netCDF4Rn   t   globR   R   R#   R4   RB   R_   Rm   Rp   (    (    (    s$   /home/s/Sukanya.Patra/resampleLib.pyt   <module>   s   %			,#	+	)