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from __future__ import absolute_import, division, print_function
import numpy as np
import xarray as xr
from . import requires_dask
class Reindex(object):
def setup(self):
data = np.random.RandomState(0).randn(1000, 100, 100)
self.ds = xr.Dataset({'temperature': (('time', 'x', 'y'), data)},
coords={'time': np.arange(1000),
'x': np.arange(100),
'y': np.arange(100)})
def time_1d_coarse(self):
self.ds.reindex(time=np.arange(0, 1000, 5)).load()
def time_1d_fine_all_found(self):
self.ds.reindex(time=np.arange(0, 1000, 0.5), method='nearest').load()
def time_1d_fine_some_missing(self):
self.ds.reindex(time=np.arange(0, 1000, 0.5), method='nearest',
tolerance=0.1).load()
def time_2d_coarse(self):
self.ds.reindex(x=np.arange(0, 100, 2), y=np.arange(0, 100, 2)).load()
def time_2d_fine_all_found(self):
self.ds.reindex(x=np.arange(0, 100, 0.5), y=np.arange(0, 100, 0.5),
method='nearest').load()
def time_2d_fine_some_missing(self):
self.ds.reindex(x=np.arange(0, 100, 0.5), y=np.arange(0, 100, 0.5),
method='nearest', tolerance=0.1).load()
class ReindexDask(Reindex):
def setup(self):
requires_dask()
super(ReindexDask, self).setup()
self.ds = self.ds.chunk({'time': 100})
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