netcdf2json.py 文件源码

def __read_var(self, file, var):
        ds = Dataset(file, 'r')
        self.nx = len(ds.dimensions[self.config.xdim])
        self.ny = len(ds.dimensions[self.config.ydim])
        self.nt = len(ds.dimensions[self.config.tdim])

        self.x = ds.variables[self.config.xname][:]
        self.y = ds.variables[self.config.yname][:]

        # Sort out the dimensions.
        if self.config.clip:
            alldims = {}
            for key, val in list(ds.dimensions.items()):
                alldims[key] = (0, len(val))
            vardims = ds.variables[var].dimensions

            for clipname in self.config.clip:
                clipdims = self.config.clip[clipname]
                common = set(alldims.keys()).intersection([clipname])
                for k in common:
                    alldims[k] = clipdims
            dims = [alldims[d] for d in vardims]


        self.data = np.flipud(np.squeeze(ds.variables[var][
                dims[0][0]:dims[0][1],
                dims[1][0]:dims[1][1],
                dims[2][0]:dims[2][1],
                dims[3][0]:dims[3][1]
                ]))

        self.time = ds.variables[self.config.tname][:]
        self.Times = []
        for t in self.time:
            self.Times.append(num2date(
                t,
                'seconds since {}'.format(self.config.basedate),
                calendar=self.config.calendar
                ))

        ds.close()