rainmetricdemo.py 文件源码

def makedists(pdata,binl):
    ##### This is called from within makeraindist.
    ##### Caclulate distributions 
    pds=pdata.shape;    nlat=pds[1];    nlon=pds[0];    nd=pds[2]
    bins=np.append(0,binl)
    n=np.empty((nlon,nlat,len(binl)))
    binno=np.empty(pdata.shape)
    for ilon in range(nlon):
        for ilat in range(nlat):
            # this is the histogram - we'll get frequency from this
            thisn,thisbin=np.histogram(pdata[ilon,ilat,:],bins) 
            n[ilon,ilat,:]=thisn
            # these are the bin locations. we'll use these for the amount dist
            binno[ilon,ilat,:]=np.digitize(pdata[ilon,ilat,:],bins) 
    #### Calculate the number of days with non-missing data, for normalization
    ndmat=np.tile(np.expand_dims(np.nansum(n,axis=2),axis=2),(1,1,len(bins)-1))
    thisppdfmap=n/ndmat
    #### Iterate back over the bins and add up all the precip - this will be the rain amount distribution
    testpamtmap=np.empty(thisppdfmap.shape)
    for ibin in range(len(bins)-1):
        testpamtmap[:,:,ibin]=(pdata*(ibin==binno)).sum(axis=2)
    thispamtmap=testpamtmap/ndmat
    return thisppdfmap,thispamtmap