PixelsTransform

class geodesic.boson.PixelsTransform(*args, **kwargs)

Attributes

properties	(dict) - properties (if any) to configure the middleware
type	(str) - type of middleware to apply to a provider

Methods

band_arithmetic(expression, asset_name)	Creates a new asset by applying a band arithmetic expression to an existing asset
clear()
colormap(*, asset, band[, colormap_name, ...])	apply a colormap to the pixels data from an existing asset in the dataset
copy()
datetime_difference(datetime1, datetime2, ...)	Creates a new asset by calculating the difference between two datetime bands
default_asset_bands(default_asset_bands)	sets the default value of asset_bands in a pixels request on a Dataset.
default_datetime_range([start, end, before_now])	sets the default datetime range in a pixels request on a Dataset.
fromkeys([value])	Create a new dictionary with keys from iterable and values set to value.
get(key[, default])	Return the value for key if key is in the dictionary, else default.
inverse_distance_weighting(attribute_name, ...)	creates an interpolated image from a feature collection using inverse distance weighting
items()
keys()
normalized_difference(asset_band_1, ...)	Creates a new asset by calculating the normalized difference between two bands
pop(k[,d])	If key is not found, default is returned if given, otherwise KeyError is raised
popitem()	Remove and return a (key, value) pair as a 2-tuple.
rasterize([attribute_name, value, use_z, ...])	creates a rasterized image from a feature collection as a new raster asset
rescale_shift(asset[, bands, scale, shift, ...])	rescale the pixel values of an asset in a dataset
setdefault(key[, default])	Insert key with a value of default if key is not in the dictionary.
update(*mapping, **kwargs)
values()