Mapchete xarray output driver
Project description
This driver enables mapchete to write multidimensional arrays into a tile directory structure.
Usage
Example .mapchete file:
process: process.py
zoom_levels:
min: 0
max: 12
input:
output:
format: xarray
path: /some/output/path
dtype: uint16
bands: 3
pyramid:
grid: geodetic
metatiling: 2
Example process file:
from dateutil import parser
import numpy as np
import xarray as xr
def execute(mp, stack_height=10):
# create 4D arrays with current tile shape and dtype
arrs = [
np.ones((3, ) + mp.tile.shape, dtype="uint16")
for _ in range(1, stack_height)
]
# create timestamps for each array
timestamps = [parser.parse("2018-04-0%s" % i) for i in range(1, stack_height)]
# build xarray with time axis
timeseries = xr.DataArray(
np.stack(arrs), coords={'time': timestamps}, dims=('time', 'bands', 'x', 'y')
)
# return to write
return timeseries
Installation
# install using pip:
pip install mapchete_xarray
# verify driver is vailable ('xarray' should be listed as output format):
mapchete formats
Current Limitations
no reprojection allowed
when reading from existing output, process metatiling must be smaller than xarray output metatiling
only writing to NetCDF files currently implemented
License
MIT License
Copyright (c) 2019 EOX IT Services
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