API Reference

Top Level Imports

podpac.Node(**kwargs)	The base class for all Nodes, which defines the common interface for everything.
podpac.Coordinates(coords[, dims, crs, …])	Multidimensional Coordinates.

Nodes

podpac.Node(**kwargs)	The base class for all Nodes, which defines the common interface for everything.
podpac.NodeException	Base class for exceptions when using podpac nodes

Coordinates

podpac.coordinates.Coordinates(coords[, …])	Multidimensional Coordinates.
podpac.coordinates.Coordinates1d(*args, **kwargs)	Base class for 1-dimensional coordinates.
podpac.coordinates.ArrayCoordinates1d(…[, …])	1-dimensional array of coordinates.
podpac.coordinates.UniformCoordinates1d(…)	1-dimensional array of uniformly-spaced coordinates defined by a start, stop, and step.
podpac.coordinates.StackedCoordinates(coords)	Stacked coordinates.
podpac.coordinates.GroupCoordinates(coords_list)	List of multi-dimensional Coordinates.

Utilities

podpac.coordinates.crange(start, stop, step)	Create uniformly-spaced 1d coordinates with a start, stop, and step.
podpac.coordinates.clinspace(start, stop, size)	Create uniformly-spaced 1d or stacked coordinates with a start, stop, and size.
podpac.coordinates.merge_dims(coords_list)	Merge the coordinates.
podpac.coordinates.concat(coords_list)	Combine the given coordinates by concatenating coordinate values in each dimension.
podpac.coordinates.union(coords_list)	Combine the given coordinates by collecting the unique, sorted coordinate values in each dimension.

Data Sources

Generic data source wrappers

Data Types

podpac.data.Array(**kwargs)	Create a DataSource from an array – this node is mostly meant for small experiments
podpac.data.CSV(**kwargs)	Create a DataSource from a .csv file.
podpac.data.Dataset(**kwargs)	Create a DataSource node using xarray.open_dataset.
podpac.data.H5PY(**kwargs)	Create a DataSource node using h5py.
podpac.data.PyDAP(**kwargs)	Create a DataSource from an OpenDAP server feed.
podpac.data.Rasterio(**kwargs)	Create a DataSource using rasterio.
podpac.data.WCS(**kwargs)	Create a DataSource from an OGC-compliant WCS service
podpac.data.ReprojectedSource(**kwargs)	Create a DataSource with a different resolution from another Node.
podpac.data.Zarr(**kwargs)	Create a DataSource node using zarr.

Utilities

podpac.data.DataSource(**kwargs)	Base node for any data obtained directly from a single source.
podpac.data.Interpolation([definition])	Create an interpolation class to handle one interpolation method per unstacked dimension.
podpac.data.INTERPOLATION_DEFAULT	str(object=’’) -> str str(bytes_or_buffer[, encoding[, errors]]) -> str
podpac.data.INTERPOLATION_METHODS	Built-in mutable sequence.

Interpolators

Classes to manage interpolation

podpac.interpolators.Interpolator(**kwargs)	Interpolation Method
podpac.interpolators.NearestNeighbor(**kwargs)	Nearest Neighbor Interpolation
podpac.interpolators.NearestPreview(**kwargs)	Nearest Neighbor (Preview) Interpolation
podpac.interpolators.Rasterio(**kwargs)	Rasterio Interpolation
podpac.interpolators.ScipyGrid(**kwargs)	Scipy Interpolation
podpac.interpolators.ScipyPoint(**kwargs)	Scipy Point Interpolation

Algorithm Nodes

Split/Apply/Combine nodes with algorithms

podpac.algorithm.Algorithm(**kwargs)

Base class for computation nodes with a custom algorithm.

General Purpose

podpac.algorithm.Arithmetic(**kwargs)	Create a simple point-by-point computation using named input nodes.
podpac.algorithm.SinCoords(**kwargs)	A simple test node that creates a data based on coordinates and trigonometric (sin) functions.
podpac.algorithm.Arange(**kwargs)	A simple test node that gives each value in the output a number.
podpac.algorithm.CoordData(**kwargs)	Extracts the coordinates from a request and makes it available as a data

Statistical Methods

podpac.algorithm.Min(**kwargs)	Computes the minimum across dimension(s)
podpac.algorithm.Max(**kwargs)	Computes the maximum across dimension(s)
podpac.algorithm.Sum(**kwargs)	Computes the sum across dimension(s)
podpac.algorithm.Count(**kwargs)	Counts the finite values across dimension(s)
podpac.algorithm.Mean(**kwargs)	Computes the mean across dimension(s)
podpac.algorithm.Median(**kwargs)	Computes the median across dimension(s)
podpac.algorithm.Variance(**kwargs)	Computes the variance across dimension(s)
podpac.algorithm.StandardDeviation(**kwargs)	Computes the standard deviation across dimension(s)
podpac.algorithm.Skew(**kwargs)	Computes the skew across dimension(s)
podpac.algorithm.Kurtosis(**kwargs)	Computes the kurtosis across dimension(s)
podpac.algorithm.DayOfYear(**kwargs)	Group a time-dependent source node by day of year and compute a statistic for each group.
podpac.algorithm.GroupReduce(**kwargs)	Group a time-dependent source node and then compute a statistic for each result.

Coordinates Modification

podpac.algorithm.ExpandCoordinates(**kwargs)	Evaluate a source node with expanded coordinates.
podpac.algorithm.SelectCoordinates(**kwargs)	Evaluate a source node with select coordinates.

Signal Processing

podpac.algorithm.Convolution(**kwargs)	Compute a general convolution over a source node.
podpac.algorithm.SpatialConvolution
podpac.algorithm.TimeConvolution

Compositor Nodes

Stitch multiple data sources together

podpac.compositor.OrderedCompositor(**kwargs)	Compositor that combines sources based on their order in self.sources.
podpac.compositor.UniformTileCompositor(**kwargs)	Composite a grid of uniformly tiled datasources.
podpac.compositor.UniformTileMixin(*args, …)	DataSource mixin for uniform tiles in a grid.

Datalib

Interfaces to external data sources

podpac.datalib.SMAP(**kwargs)	SMAP interface using the EGI Data Portal https://developer.earthdata.nasa.gov/sdps/programmatic-access-docs
podpac.datalib.SMAPBestAvailable
podpac.datalib.SMAPSource
podpac.datalib.SMAPPorosity
podpac.datalib.SMAPProperties
podpac.datalib.SMAPWilt
podpac.datalib.SMAP_PRODUCT_MAP

Managers

Cloud computing managers

podpac.managers.aws	Lambda is Node manager, which executes the given Node on an AWS Lambda function.
podpac.managers.Lambda(**kwargs)	A Node wrapper to evaluate source on AWS Lambda function

Utilities

Authentication

podpac.authentication.RequestsSessionMixin(…)
podpac.authentication.S3Mixin(*args, **kwargs)	Mixin to add S3 credentials and access to a Node.

Settings

podpac.settings

Persistently stored podpac settings

Utils

podpac.utils.create_logfile([filename, …])	Convience method to create a log file that only logs podpac related messages
podpac.utils.clear_cache([mode])	Clear the entire default cache_ctrl.
podpac.utils.cached_property(*args, **kwargs)	Decorator that creates a property that is cached.
podpac.utils.NoCacheMixin(*args, **kwargs)	Mixin to use no cache by default.
podpac.utils.DiskCacheMixin(*args, **kwargs)	Mixin to add disk caching to the Node by default.
podpac.utils.NodeTrait(*args, **kwargs)

Style

podpac.style.Style([node])

Summary

Version

podpac.version.semver()	Return semantic version of current PODPAC installation
podpac.version.version()	Retrieve PODPAC semantic version as string

podpac.version.VERSION	Built-in immutable sequence.
podpac.version.VERSION_INFO	Dictionary that remembers insertion order