tessl/pypi-rasterio

Fast and direct raster I/O for use with Numpy and SciPy

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Rasterio

Name: tessl/pypi-rasterio
Author: tessl

Rasterio provides fast and direct raster I/O for use with NumPy and SciPy. Built on top of GDAL, it offers efficient raster I/O operations, geospatial transformations, coordinate reference system management, and windowed reading/writing capabilities for handling large datasets.

Package Information

Package Name: rasterio
Language: Python
Installation: pip install rasterio

Core Imports

import rasterio
from rasterio import open

For specific functionality:

from rasterio.crs import CRS
from rasterio.warp import reproject
from rasterio.transform import from_bounds
from rasterio.windows import Window

Basic Usage

import rasterio
import numpy as np

# Open and read a raster file
with rasterio.open('example.tif') as dataset:
    # Read the full raster
    data = dataset.read()
    
    # Get dataset metadata
    print(f"Shape: {data.shape}")
    print(f"CRS: {dataset.crs}")
    print(f"Transform: {dataset.transform}")
    print(f"Bounds: {dataset.bounds}")
    
    # Read a specific band
    band1 = dataset.read(1)
    
    # Read a windowed subset
    from rasterio.windows import Window
    window = Window(0, 0, 512, 512)  # col_off, row_off, width, height
    subset = dataset.read(1, window=window)

# Create and write a new raster
profile = {
    'driver': 'GTiff',
    'dtype': 'float32',
    'nodata': -9999,
    'width': 100,
    'height': 100,
    'count': 1,
    'crs': 'EPSG:4326',
    'transform': rasterio.transform.from_bounds(-180, -90, 180, 90, 100, 100)
}

with rasterio.open('output.tif', 'w', **profile) as dst:
    # Create sample data
    data = np.random.rand(100, 100).astype('float32')
    dst.write(data, 1)

Architecture

Rasterio is built around several key components:

Dataset Objects: DatasetReader and DatasetWriter provide file I/O capabilities
Coordinate Systems: CRS class handles coordinate reference system transformations
Windowing: Window class enables efficient partial reading of large rasters
Transformations: Affine transformations map pixel coordinates to geographic coordinates
Processing: Warping, masking, merging, and feature extraction capabilities

Capabilities

Dataset I/O

Core functionality for opening, reading, and writing raster datasets. Supports numerous formats through GDAL including GeoTIFF, NetCDF, HDF5, and many others.

def open(fp, mode='r', driver=None, **kwargs): ...
def copy(src_path, dst_path, **kwargs): ...
def band(ds, bidx): ...
def pad(array, transform, pad_width, mode=None, **kwargs): ...

Dataset I/O

Coordinate Reference Systems

Comprehensive coordinate reference system support including EPSG codes, PROJ4 strings, and WKT definitions. Handles CRS transformations and validation.

class CRS:
    def __init__(self, initialdata=None, **kwargs): ...
    @classmethod
    def from_epsg(cls, code): ...
    @classmethod
    def from_proj4(cls, proj4): ...
    def to_epsg(self): ...
    def to_proj4(self): ...

Coordinate Reference Systems

Geometric Transformations

Affine transformations for converting between pixel and geographic coordinates. Supports creating transforms from bounds, origins, and ground control points.

def from_bounds(west, south, east, north, width, height): ...
def from_origin(west, north, xsize, ysize): ...
def xy(transform, rows, cols, **kwargs): ...
def rowcol(transform, xs, ys, **kwargs): ...

Transformations

Windowing Operations

Efficient reading and writing of rectangular subsets of raster data. Supports coordinate-based and index-based windowing with geometric operations.

class Window:
    def __init__(self, col_off, row_off, width, height): ...

def from_bounds(left, bottom, right, top, transform, **kwargs): ...
def bounds(window, transform): ...
def union(*windows): ...
def intersection(*windows): ...

Windowing

Raster Processing

Advanced processing operations including reprojection, masking, merging, and resampling with support for various algorithms and coordinate systems.

def reproject(source, destination, **kwargs): ...
def mask(dataset, shapes, **kwargs): ...
def merge(datasets, **kwargs): ...

Raster Processing

Feature Operations

Conversion between raster and vector data including shape extraction, geometry rasterization, and spatial analysis operations.

def shapes(image, **kwargs): ...
def rasterize(shapes, **kwargs): ...
def geometry_mask(geometries, **kwargs): ...

Feature Operations

Data Types and Enums

Comprehensive data type support with validation and conversion utilities. Includes enumerations for resampling algorithms and color interpretation.

# Data types
uint8: numpy.dtype
int16: numpy.dtype
float32: numpy.dtype
float64: numpy.dtype

# Enumerations
class Resampling(Enum): ...
class ColorInterp(Enum): ...

Data Types

Command Line Interface

Complete command-line interface with 23+ subcommands for raster operations including format conversion, reprojection, masking, and analysis.

rio info input.tif
rio warp input.tif output.tif --dst-crs EPSG:3857
rio merge *.tif merged.tif

Command Line Interface

Common Data Types

# Core classes
class DatasetReader: ...
class DatasetWriter: ...
class CRS: ...
class Window: ...

# Transformation matrix
class Affine: ...

# Coordinate bounds
class BoundingBox:
    left: float
    bottom: float
    right: float
    top: float

# Profile dictionary structure
Profile = dict[str, Any]  # Contains driver, dtype, nodata, width, height, count, crs, transform

Error Handling

Rasterio provides specific exception types for different error conditions:

# Core exceptions
class RasterioError(Exception): ...
class RasterioIOError(RasterioError, OSError): ...
class RasterioDeprecationWarning(FutureWarning): ...

# Specific error types
class InvalidArrayError(RasterioError): ...
class WindowError(RasterioError): ...
class WindowEvaluationError(ValueError): ...
class CRSError(ValueError): ...
class TransformError(RasterioError): ...
class PathError(RasterioError): ...
class EnvError(RasterioError): ...
class DriverCapabilityError(RasterioError, ValueError): ...
class DriverRegistrationError(ValueError): ...
class UnsupportedOperation(RasterioError): ...
class DatasetAttributeError(RasterioError, NotImplementedError): ...
class ResamplingAlgorithmError(RasterioError): ...
class WarpOperationError(RasterioError): ...
class WarpOptionsError(RasterioError): ...
class WarpedVRTError(RasterioError): ...
class StatisticsError(RasterioError): ...
class MergeError(RasterioError): ...
class StackError(RasterioError): ...
class RPCError(ValueError): ...

# Warning types
class NodataShadowWarning(UserWarning): ...
class NotGeoreferencedWarning(UserWarning): ...
class TransformWarning(UserWarning): ...
class ShapeSkipWarning(UserWarning): ...
class BandOverviewError(UserWarning): ...

Workspace: tessl
Visibility: Public
Created: 7 months ago
Last updated: 2 months ago
Describes: pkg:pypi/rasterio@1.4.x
Publish Source: CLI
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