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Computes a tile by performing an arbitrary computation on image data.
Returns:
The pixels as raw image data.
Usage
Returns
ee.data.computePixels(params)
Object|Value
Argument
Type
Details
params
Object
An object containing parameters with the following possible values: expression- The expression to compute. fileFormat- The resulting file format. Defaults to png. SeeImageFileFormatfor the available formats. There are additional formats that convert
the downloaded object to a Python data object. These include:NUMPY_NDARRAY, which converts to a structured NumPy
array. grid- Parameters describing the pixel grid in which to fetch data.
Defaults to the native pixel grid of the data. bandIds- If present, specifies a specific set of bands from which to get
pixels. visualizationOptions- If present, a set of visualization options to apply
to produce an 8-bit RGB visualization of the data,
rather than returning the raw data. workloadTag- User supplied tag to track this computation.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[[["\u003cp\u003e\u003ccode\u003eee.data.computePixels\u003c/code\u003e computes a tile by performing an arbitrary computation on image data and returns the pixels as raw image data.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eparams\u003c/code\u003e argument to \u003ccode\u003eee.data.computePixels\u003c/code\u003e allows for customizing the computation through an expression, file format, pixel grid, band selection, visualization options, and workload tag.\u003c/p\u003e\n"],["\u003cp\u003eThe provided Python example demonstrates using \u003ccode\u003eee.data.computePixels\u003c/code\u003e to retrieve a PNG image tile from a Sentinel-2 median composite with specified visualization and grid parameters.\u003c/p\u003e\n"]]],[],null,["# ee.data.computePixels (Python only)\n\n\u003cbr /\u003e\n\nComputes a tile by performing an arbitrary computation on image data.\n\n\u003cbr /\u003e\n\nReturns:\nThe pixels as raw image data.\n\n| Usage | Returns |\n|---------------------------------|---------------|\n| `ee.data.computePixels(params)` | Object\\|Value |\n\n| Argument | Type | Details |\n|----------|--------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `params` | Object | An object containing parameters with the following possible values: `expression` - The expression to compute. `fileFormat` - The resulting file format. Defaults to png. See [ImageFileFormat](https://developers.google.com/earth-engine/reference/rest/v1/ImageFileFormat) for the available formats. There are additional formats that convert the downloaded object to a Python data object. These include: `NUMPY_NDARRAY`, which converts to a structured NumPy array. `grid` - Parameters describing the pixel grid in which to fetch data. Defaults to the native pixel grid of the data. `bandIds` - If present, specifies a specific set of bands from which to get pixels. `visualizationOptions` - If present, a set of visualization options to apply to produce an 8-bit RGB visualization of the data, rather than returning the raw data. `workloadTag` - User supplied tag to track this computation. |\n\nExamples\n--------\n\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\n# Region of interest.\ncoords = [\n -121.58626826832939,\n 38.059141484827485,\n]\nregion = ee.Geometry.Point(coords)\n\n# Sentinel-2 median composite.\nimage = (ee.ImageCollection('COPERNICUS/S2')\n .filterBounds(region)\n .filterDate('2020-04-01', '2020-09-01')\n .median())\n\n# Make a projection to discover the scale in degrees.\nproj = ee.Projection('EPSG:4326').atScale(10).getInfo()\n\n# Get scales out of the transform.\nscale_x = proj['transform'][0]\nscale_y = -proj['transform'][4]\n\n# Make a request object.\nrequest = {\n 'expression': image,\n 'fileFormat': 'PNG',\n 'bandIds': ['B4', 'B3', 'B2'],\n 'grid': {\n 'dimensions': {\n 'width': 640,\n 'height': 640\n },\n 'affineTransform': {\n 'scaleX': scale_x,\n 'shearX': 0,\n 'translateX': coords[0],\n 'shearY': 0,\n 'scaleY': scale_y,\n 'translateY': coords[1]\n },\n 'crsCode': proj['crs'],\n },\n 'visualizationOptions': {'ranges': [{'min': 0, 'max': 3000}]},\n}\n\nimage_png = ee.data.computePixels(request)\n# Do something with the image...\n```"]]
