diff --git a/CHANGES.md b/CHANGES.md index 0e1fe98d..b9270087 100644 --- a/CHANGES.md +++ b/CHANGES.md @@ -1,3 +1,19 @@ +# 7.1.0 (TBD) + +* Add `preview()` and `statistics()` methods to XarrayReader (https://github.com/cogeotiff/rio-tiler/pull/755) + +* Add output size (`max_size` | `width`, `height`) options for XarrayReader's `preview()`, `part()` and `feature()` methods (https://github.com/cogeotiff/rio-tiler/pull/755) + +* Add half X/Y resolution on bounds before checking the geographic bounds in XarrayReader (https://github.com/cogeotiff/rio-tiler/pull/755) + +* Check if the Y bounds are inverted and flip the image on the Y axis in XarrayReader (https://github.com/cogeotiff/rio-tiler/pull/756) + +* Add support for 2D arrays in XarrayReader (https://github.com/cogeotiff/rio-tiler/pull/755) + +* Cast Xarray `attrs` values in XarrayReader's `info()` response to avoid JSON encoding issues (https://github.com/cogeotiff/rio-tiler/pull/755) + +* refactor XarrayReader's `feature()` method to use the `part` method (https://github.com/cogeotiff/rio-tiler/pull/755) + # 7.0.1 (2024-10-22) * Add `CRS_to_urn` method and update internals for `CRS_to_uri` (author @AndrewAnnex, https://github.com/cogeotiff/rio-tiler/pull/752) diff --git a/docs/src/examples/Using-rio-tiler-XarrayReader.ipynb b/docs/src/examples/Using-rio-tiler-XarrayReader.ipynb index cccf8304..26d75134 100644 --- a/docs/src/examples/Using-rio-tiler-XarrayReader.ipynb +++ b/docs/src/examples/Using-rio-tiler-XarrayReader.ipynb @@ -61,6 +61,7 @@ "}\n", "\n", "html[theme=dark],\n", + "html[data-theme=dark],\n", "body[data-theme=dark],\n", "body.vscode-dark {\n", " --xr-font-color0: rgba(255, 255, 255, 1);\n", @@ -417,11 +418,11 @@ " time_coverage_start: 20200115T210000Z\n", " title: Daily MUR SST, Final product\n", " uuid: 27665bc0-d5fc-11e1-9b23-0800200c9a66\n", - " westernmost_longitude: -180.0
  • Conventions :
    CF-1.7
    Metadata_Conventions :
    Unidata Observation Dataset v1.0
    acknowledgment :
    Please acknowledge the use of these data with the following statement: These data were provided by JPL under support by NASA MEaSUREs program.
    cdm_data_type :
    grid
    comment :
    MUR = "Multi-scale Ultra-high Resolution"
    creator_email :
    ghrsst@podaac.jpl.nasa.gov
    creator_name :
    JPL MUR SST project
    creator_url :
    http://mur.jpl.nasa.gov
    date_created :
    20200124T010755Z
    easternmost_longitude :
    180.0
    file_quality_level :
    3
    gds_version_id :
    2.0
    geospatial_lat_resolution :
    0.009999999776482582
    geospatial_lat_units :
    degrees north
    geospatial_lon_resolution :
    0.009999999776482582
    geospatial_lon_units :
    degrees east
    history :
    created at nominal 4-day latency; replaced nrt (1-day latency) version.
    id :
    MUR-JPL-L4-GLOB-v04.1
    institution :
    Jet Propulsion Laboratory
    keywords :
    Oceans > Ocean Temperature > Sea Surface Temperature
    keywords_vocabulary :
    NASA Global Change Master Directory (GCMD) Science Keywords
    license :
    These data are available free of charge under data policy of JPL PO.DAAC.
    metadata_link :
    http://podaac.jpl.nasa.gov/ws/metadata/dataset/?format=iso&shortName=MUR-JPL-L4-GLOB-v04.1
    naming_authority :
    org.ghrsst
    netcdf_version_id :
    4.1
    northernmost_latitude :
    90.0
    platform :
    Terra, Aqua, GCOM-W, MetOp-A, MetOp-B, Buoys/Ships
    processing_level :
    L4
    product_version :
    04.1
    project :
    NASA Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Program
    publisher_email :
    ghrsst-po@nceo.ac.uk
    publisher_name :
    GHRSST Project Office
    publisher_url :
    http://www.ghrsst.org
    references :
    http://podaac.jpl.nasa.gov/Multi-scale_Ultra-high_Resolution_MUR-SST
    sensor :
    MODIS, AMSR2, AVHRR, in-situ
    source :
    MODIS_T-JPL, MODIS_A-JPL, AMSR2-REMSS, AVHRRMTA_G-NAVO, AVHRRMTB_G-NAVO, iQUAM-NOAA/NESDIS, Ice_Conc-OSISAF
    southernmost_latitude :
    -90.0
    spatial_resolution :
    0.01 degrees
    standard_name_vocabulary :
    NetCDF Climate and Forecast (CF) Metadata Convention
    start_time :
    20200116T090000Z
    stop_time :
    20200116T090000Z
    summary :
    A merged, multi-sensor L4 Foundation SST analysis product from JPL.
    time_coverage_end :
    20200116T210000Z
    time_coverage_start :
    20200115T210000Z
    title :
    Daily MUR SST, Final product
    uuid :
    27665bc0-d5fc-11e1-9b23-0800200c9a66
    westernmost_longitude :
    -180.0
  • " ], "text/plain": [ " Size: 117TB\n", @@ -535,6 +536,7 @@ "}\n", "\n", "html[theme=dark],\n", + "html[data-theme=dark],\n", "body[data-theme=dark],\n", "body.vscode-dark {\n", " --xr-font-color0: rgba(255, 255, 255, 1);\n", @@ -879,11 +881,11 @@ " standard_name: sea_surface_foundation_temperature\n", " units: kelvin\n", " valid_max: 32767\n", - " valid_min: -32767
  • comment :
    "Final" version using Multi-Resolution Variational Analysis (MRVA) method for interpolation
    long_name :
    analysed sea surface temperature
    standard_name :
    sea_surface_foundation_temperature
    units :
    kelvin
    valid_max :
    32767
    valid_min :
    -32767
  • " ], "text/plain": [ " Size: 33TB\n", @@ -942,7 +944,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, "id": "d29e0c33", "metadata": { "scrolled": true @@ -952,7 +954,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "bounds=BoundingBox(left=-179.99500549324037, bottom=-89.99499786365084, right=180.0050000000763, top=89.99499786365084) crs='http://www.opengis.net/def/crs/EPSG/0/4326' band_metadata=[] band_descriptions=[] dtype='float64' nodata_type='Nodata' colorinterp=None scales=None offsets=None colormap=None name='analysed_sst' count=1 width=36000 height=17999 attrs={'comment': '\"Final\" version using Multi-Resolution Variational Analysis (MRVA) method for interpolation', 'long_name': 'analysed sea surface temperature', 'standard_name': 'sea_surface_foundation_temperature', 'units': 'kelvin', 'valid_max': 32767, 'valid_min': -32767}\n", + "bounds=(-179.99500549324037, -89.99499786365084, 180.0050000000763, 89.99499786365084) crs='http://www.opengis.net/def/crs/EPSG/0/4326' band_metadata=[('b1', {})] band_descriptions=[('b1', 'value')] dtype='float64' nodata_type='Nodata' colorinterp=None scales=None offsets=None colormap=None name='analysed_sst' count=1 width=36000 height=17999 attrs={'comment': '\"Final\" version using Multi-Resolution Variational Analysis (MRVA) method for interpolation', 'long_name': 'analysed sea surface temperature', 'standard_name': 'sea_surface_foundation_temperature', 'units': 'kelvin', 'valid_max': 32767, 'valid_min': -32767}\n", "0 6\n" ] } @@ -974,10 +976,20 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 5, "id": "93d11d9c", "metadata": {}, "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, { "data": { "image/png": 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", @@ -993,14 +1005,1103 @@ "with XarrayReader(da) as dst:\n", " img = dst.tile(31, 22, 6)\n", "\n", - "plt.imshow(img.data_as_image());" + "plt.imshow(img.data_as_image())" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "b4c3f03f", "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "with XarrayReader(da) as dst:\n", + " img = dst.part(\n", + " [-5, 45, 0.0, 49],\n", + " max_size=1024,\n", + " )\n", + "\n", + "plt.imshow(img.data_as_image())" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "20ce537c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "geojson = {\n", + " \"type\": \"Feature\",\n", + " \"properties\": {},\n", + " \"geometry\": {\n", + " \"coordinates\": [\n", + " [\n", + " [-4.262517145703015, 49.58852771128011],\n", + " [-6.121754821536115, 48.07366436953052],\n", + " [-5.679508966604999, 47.26534294147169],\n", + " [-2.890652452854056, 46.8101748147248],\n", + " [-1.8527423498805433, 47.28371740880311],\n", + " [-1.6541805026549241, 49.26565692911578],\n", + " [-3.0440846882388257, 49.565118360747164],\n", + " [-4.262517145703015, 49.58852771128011],\n", + " ]\n", + " ],\n", + " \"type\": \"Polygon\",\n", + " },\n", + "}\n", + "\n", + "with XarrayReader(da) as dst:\n", + " img = dst.feature(\n", + " geojson,\n", + " max_size=1024,\n", + " )\n", + "\n", + "plt.imshow(img.data_as_image())" + ] + }, + { + "cell_type": "markdown", + "id": "fedfaafa", + "metadata": {}, + "source": [ + "### NetCDF " + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "07310f05", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
    <xarray.Dataset> Size: 36GB\n",
    +       "Dimensions:          (time: 1, lat: 18000, lon: 36000, length_scale: 1,\n",
    +       "                      channel: 2)\n",
    +       "Coordinates:\n",
    +       "  * time             (time) datetime64[ns] 8B 2020-11-01\n",
    +       "  * lat              (lat) float32 72kB -90.0 -89.99 -89.98 ... 89.98 89.99\n",
    +       "  * lon              (lon) float32 144kB -180.0 -180.0 -180.0 ... 180.0 180.0\n",
    +       "  * channel          (channel) float32 8B 11.0 12.0\n",
    +       "Dimensions without coordinates: length_scale\n",
    +       "Data variables: (12/14)\n",
    +       "    dtime            (time, lat, lon) timedelta64[ns] 5GB ...\n",
    +       "    satze            (time, lat, lon) float32 3GB ...\n",
    +       "    sataz            (time, lat, lon) float32 3GB ...\n",
    +       "    solze            (time, lat, lon) float32 3GB ...\n",
    +       "    solaz            (time, lat, lon) float32 3GB ...\n",
    +       "    lst              (time, lat, lon) float32 3GB ...\n",
    +       "    ...               ...\n",
    +       "    lst_unc_loc_atm  (time, lat, lon) float32 3GB ...\n",
    +       "    lst_unc_loc_sfc  (time, lat, lon) float32 3GB ...\n",
    +       "    lst_unc_sys      (length_scale) float32 4B ...\n",
    +       "    lcc              (time, lat, lon) float32 3GB ...\n",
    +       "    n                (time, lat, lon) float32 3GB ...\n",
    +       "    lst_unc_loc_cor  (time, lat, lon) float32 3GB ...\n",
    +       "Attributes: (12/41)\n",
    +       "    source:                     ESA LST CCI IRCDR L3S V2.00\n",
    +       "    title:                      ESA LST CCI land surface temperature time ser...\n",
    +       "    institution:                University of Leicester\n",
    +       "    history:                    Created using software developed at Universit...\n",
    +       "    references:                 https://climate.esa.int/en/projects/land-surf...\n",
    +       "    Conventions:                CF-1.8\n",
    +       "    ...                         ...\n",
    +       "    geospatial_lon_resolution:  0.01\n",
    +       "    geospatial_lat_resolution:  0.01\n",
    +       "    key_variables:              land_surface_temperature\n",
    +       "    format_version:             CCI Data Standards v2.2\n",
    +       "    spatial_resolution:         0.01 degree\n",
    +       "    doi:                        10.5285/785ef9d3965442669bff899540747e28
    " + ], + "text/plain": [ + " Size: 36GB\n", + "Dimensions: (time: 1, lat: 18000, lon: 36000, length_scale: 1,\n", + " channel: 2)\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 8B 2020-11-01\n", + " * lat (lat) float32 72kB -90.0 -89.99 -89.98 ... 89.98 89.99\n", + " * lon (lon) float32 144kB -180.0 -180.0 -180.0 ... 180.0 180.0\n", + " * channel (channel) float32 8B 11.0 12.0\n", + "Dimensions without coordinates: length_scale\n", + "Data variables: (12/14)\n", + " dtime (time, lat, lon) timedelta64[ns] 5GB ...\n", + " satze (time, lat, lon) float32 3GB ...\n", + " sataz (time, lat, lon) float32 3GB ...\n", + " solze (time, lat, lon) float32 3GB ...\n", + " solaz (time, lat, lon) float32 3GB ...\n", + " lst (time, lat, lon) float32 3GB ...\n", + " ... ...\n", + " lst_unc_loc_atm (time, lat, lon) float32 3GB ...\n", + " lst_unc_loc_sfc (time, lat, lon) float32 3GB ...\n", + " lst_unc_sys (length_scale) float32 4B ...\n", + " lcc (time, lat, lon) float32 3GB ...\n", + " n (time, lat, lon) float32 3GB ...\n", + " lst_unc_loc_cor (time, lat, lon) float32 3GB ...\n", + "Attributes: (12/41)\n", + " source: ESA LST CCI IRCDR L3S V2.00\n", + " title: ESA LST CCI land surface temperature time ser...\n", + " institution: University of Leicester\n", + " history: Created using software developed at Universit...\n", + " references: https://climate.esa.int/en/projects/land-surf...\n", + " Conventions: CF-1.8\n", + " ... ...\n", + " geospatial_lon_resolution: 0.01\n", + " geospatial_lat_resolution: 0.01\n", + " key_variables: land_surface_temperature\n", + " format_version: CCI Data Standards v2.2\n", + " spatial_resolution: 0.01 degree\n", + " doi: 10.5285/785ef9d3965442669bff899540747e28" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import fsspec\n", + "\n", + "filesystem = fsspec.filesystem(\"https\")\n", + "\n", + "fp = filesystem.open(\n", + " \"https://dap.ceda.ac.uk/neodc/esacci/land_surface_temperature/data/MULTISENSOR_IRCDR/L3S/0.01/v2.00/monthly/2020/11/ESACCI-LST-L3S-LST-IRCDR_-0.01deg_1MONTHLY_DAY-20201101000000-fv2.00.nc\"\n", + ")\n", + "ds = xarray.open_dataset(\n", + " fp,\n", + " engine=\"h5netcdf\",\n", + " decode_coords=\"all\",\n", + ")\n", + "ds" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "62a7401c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
    <xarray.DataArray 'lst' (time: 1, lat: 18000, lon: 36000)> Size: 3GB\n",
    +       "[648000000 values with dtype=float32]\n",
    +       "Coordinates:\n",
    +       "  * time         (time) datetime64[ns] 8B 2020-11-01\n",
    +       "  * lat          (lat) float32 72kB -90.0 -89.99 -89.98 ... 89.97 89.98 89.99\n",
    +       "  * lon          (lon) float32 144kB -180.0 -180.0 -180.0 ... 180.0 180.0 180.0\n",
    +       "    spatial_ref  int64 8B 0\n",
    +       "Attributes:\n",
    +       "    long_name:  land surface temperature\n",
    +       "    units:      kelvin\n",
    +       "    valid_min:  -8315\n",
    +       "    valid_max:  7685
    " + ], + "text/plain": [ + " Size: 3GB\n", + "[648000000 values with dtype=float32]\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 8B 2020-11-01\n", + " * lat (lat) float32 72kB -90.0 -89.99 -89.98 ... 89.97 89.98 89.99\n", + " * lon (lon) float32 144kB -180.0 -180.0 -180.0 ... 180.0 180.0 180.0\n", + " spatial_ref int64 8B 0\n", + "Attributes:\n", + " long_name: land surface temperature\n", + " units: kelvin\n", + " valid_min: -8315\n", + " valid_max: 7685" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "da = ds[\"lst\"]\n", + "\n", + "# # Make sure we have a valid CRS\n", + "crs = da.rio.crs or \"epsg:4326\"\n", + "da.rio.write_crs(crs, inplace=True)\n", + "\n", + "# Select the first time stamp\n", + "# da = da.isel(time=0)\n", + "da" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "6b69430d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "bounds=(-179.99999511705187, -90.00000274631076, 179.99999511705187, 89.9999874875217) crs='http://www.opengis.net/def/crs/EPSG/0/4326' band_metadata=[('b1', {'long_name': 'reference time of file', 'standard_name': 'time'})] band_descriptions=[('b1', '2020-11-01T00:00:00.000000000')] dtype='float32' nodata_type='Nodata' colorinterp=None scales=None offsets=None colormap=None name='lst' count=1 width=36000 height=18000 attrs={'long_name': 'land surface temperature', 'units': 'kelvin', 'valid_min': -8315, 'valid_max': 7685}\n", + "0 6\n" + ] + } + ], + "source": [ + "with XarrayReader(da) as dst:\n", + " print(dst.info())\n", + " print(dst.minzoom, dst.maxzoom)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "c9678aa9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "with XarrayReader(da) as dst:\n", + " img = dst.tile(31, 22, 6)\n", + "\n", + "plt.imshow(img.data_as_image())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "665d34ba", + "metadata": {}, "outputs": [], "source": [] } diff --git a/docs/src/readers.md b/docs/src/readers.md index 68963aed..3f6a10e4 100644 --- a/docs/src/readers.md +++ b/docs/src/readers.md @@ -998,7 +998,7 @@ For ImageReader we are using a custom `LocalTileMatrixSet` constructed from the ## rio_tiler.io.xarray.XarrayReader -The `Reader` is designed to work with xarray.DataReader with full geo-reference metadata (CRS) and variables (X,Y) +The `Reader` is designed to work with `xarray.DataReader` with full geo-reference metadata (CRS) and variables (X,Y) The class is derived from the `rio_tiler.io.base.BaseReader` class. ```python @@ -1025,6 +1025,7 @@ XarrayReader.__mro__ - **transform**: dataset's Affine transform - **height**: dataset's height - **width**: dataset's width +- **band_names**: list of dataArray dims ```python import numpy @@ -1071,7 +1072,7 @@ EPSG:4326 from rio_tiler.models import ImageData with XarrayReader(data) as src: - # src.tile(tile_x, tile_y, tile_z, tilesize, reproject_method) + # src.tile(tile_x, tile_y, tile_z, tilesize, reproject_method, auto_expand, nodata) img = src.tile(1, 2, 3) assert isinstance(img, ImageData) assert img.crs == WEB_MERCATOR_CRS @@ -1084,7 +1085,7 @@ EPSG:4326 from rio_tiler.models import ImageData with XarrayReader(data) as src: - # src.part((minx, miny, maxx, maxy), dst_crs, bounds_crs, reproject_method) + # src.part((minx, miny, maxx, maxy), dst_crs, bounds_crs, reproject_method, auto_expand, nodata, max_size, height, width, resampling_method) img = src.part((10, 10, 20, 20)) assert isinstance(img, ImageData) assert img.crs == WGS84_CRS @@ -1121,7 +1122,7 @@ EPSG:4326 } with XarrayReader(data) as src: - # src.part(geojson_feature, **kwargs) + # src.part(geojson_feature, dst_crs, shape_crs, auto_expand, nodata, max_size, height, width, resampling_method) img = src.feature(feat) assert isinstance(img, ImageData) assert img.crs == WGS84_CRS @@ -1173,16 +1174,68 @@ EPSG:4326 } ``` -- **preview()**: +- **preview()**: Return low-resolution representation of the DataArray -!!! Important + ```python + from rio_tiler.io import XarrayReader + from rio_tiler.models import ImageData - Not Implemented + with XarrayReader(data) as src: + # src.preview(dst_crs, reproject_method, nodata, max_size, height, width, resampling_method) + img = src.preview() + assert isinstance(img, ImageData) + assert img.crs == data.rio.crs + assert img.bounds == data.rio.bounds() + + with XarrayReader(data) as src: + img = src.preview(WGS84_CRS, max_size=100) + assert img.crs == WGS84_CRS + ``` + !!! warnings -- **statistics()**: + This method will read the whole DataArray into memory -!!! Important +- **statistics()**: Return DataArray statistics (Min/Max/Stdev) + + ```python + from rio_tiler.io import XarrayReader + from rio_tiler.models import ImageData + + with XarrayReader(data) as src: + stats = src.statistics() + assert isinstance(stats, dict) + + # stats will be in form or {"band": BandStatistics(), ...} + print(stats) + >>> { + '2022-01-01T00:00:00.000000000': BandStatistics(...), + } + + print(stats["2022-01-01T00:00:00.000000000"].model_dump()) + >>> { + "min": 1, + "max": 7872, + "mean": 2107.524612053134, + "count": 1045504, + "sum": 2203425412, + "std": 2271.0065537857326, + "median": 2800, + "majority": 1, + "minority": 7072, + "unique": 15, + "histogram": [ + [...], + [...] + ], + "valid_percent": 100, + "masked_pixels": 0, + "valid_pixels": 1045504, + "percentile_98": 6896, + "percentile_2": 1 + } + ``` - Not Implemented + !!! warnings + This method will read the whole DataArray into memory diff --git a/pyproject.toml b/pyproject.toml index 6ff932cd..e1dbab57 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -157,7 +157,7 @@ ignore = [ max-complexity = 14 [tool.bumpversion] -current_version = "7.0.1" +current_version = "7.1.0" search = "{current_version}" replace = "{new_version}" regex = false diff --git a/rio_tiler/__init__.py b/rio_tiler/__init__.py index 4092f24d..c6b11669 100644 --- a/rio_tiler/__init__.py +++ b/rio_tiler/__init__.py @@ -1,6 +1,6 @@ """rio-tiler.""" -__version__ = "7.0.1" +__version__ = "7.1.0" from . import ( # noqa colormap, diff --git a/rio_tiler/io/xarray.py b/rio_tiler/io/xarray.py index c1a869a7..6d7cc346 100644 --- a/rio_tiler/io/xarray.py +++ b/rio_tiler/io/xarray.py @@ -2,15 +2,21 @@ from __future__ import annotations -from typing import Any, Dict, List, Optional +import warnings +from typing import Dict, List, Optional import attr +import numpy from morecantile import Tile, TileMatrixSet from rasterio.crs import CRS from rasterio.enums import Resampling +from rasterio.errors import NotGeoreferencedWarning +from rasterio.features import bounds as featureBounds +from rasterio.features import rasterize from rasterio.transform import from_bounds, rowcol from rasterio.warp import calculate_default_transform from rasterio.warp import transform as transform_coords +from rasterio.warp import transform_geom from rio_tiler.constants import WEB_MERCATOR_TMS, WGS84_CRS from rio_tiler.errors import ( @@ -21,8 +27,9 @@ ) from rio_tiler.io.base import BaseReader from rio_tiler.models import BandStatistics, ImageData, Info, PointData -from rio_tiler.types import BBox, NoData, WarpResampling -from rio_tiler.utils import CRS_to_uri, _validate_shape_input +from rio_tiler.reader import _get_width_height +from rio_tiler.types import BBox, NoData, RIOResampling, WarpResampling +from rio_tiler.utils import CRS_to_uri, _validate_shape_input, get_array_statistics try: import xarray @@ -76,11 +83,14 @@ def __attrs_post_init__(self): "Dataset doesn't have CRS information, please add it before using rio-tiler (e.g. `ds.rio.write_crs('epsg:4326', inplace=True)`)" ) + # adds half x/y resolution on each values + # https://github.com/corteva/rioxarray/issues/645#issuecomment-1461070634 + xres, yres = map(abs, self.input.rio.resolution()) if self.crs == WGS84_CRS and ( - round(self.bounds[0]) < -180 - or round(self.bounds[1]) < -90 - or round(self.bounds[2]) > 180 - or round(self.bounds[3]) > 90 + self.bounds[0] + xres / 2 < -180 + or self.bounds[1] + yres / 2 < -90 + or self.bounds[2] - xres / 2 > 180 + or self.bounds[3] - yres / 2 > 90 ): raise InvalidGeographicBounds( f"Invalid geographic bounds: {self.bounds}. Must be within (-180, -90, 180, 90)." @@ -109,16 +119,20 @@ def maxzoom(self): @property def band_names(self) -> List[str]: """Return list of `band names` in DataArray.""" - return [str(band) for d in self._dims for band in self.input[d].values] + return [str(band) for d in self._dims for band in self.input[d].values] or [ + "value" + ] def info(self) -> Info: """Return xarray.DataArray info.""" - bands = [str(band) for d in self._dims for band in self.input[d].values] - metadata = [band.attrs for d in self._dims for band in self.input[d]] + bands = [str(band) for d in self._dims for band in self.input[d].values] or [ + "value" + ] + metadata = [band.attrs for d in self._dims for band in self.input[d]] or [{}] meta = { "bounds": self.bounds, - "crs": CRS_to_uri(self.crs), + "crs": CRS_to_uri(self.crs) or self.crs.to_wkt(), "band_metadata": [(f"b{ix}", v) for ix, v in enumerate(metadata, 1)], "band_descriptions": [(f"b{ix}", v) for ix, v in enumerate(bands, 1)], "dtype": str(self.input.dtype), @@ -127,8 +141,12 @@ def info(self) -> Info: "count": self.input.rio.count, "width": self.input.rio.width, "height": self.input.rio.height, - "attrs": self.input.attrs, + "attrs": { + k: (v.tolist() if isinstance(v, (numpy.ndarray, numpy.generic)) else v) + for k, v in self.input.attrs.items() + }, } + return Info(**meta) def statistics( @@ -137,11 +155,29 @@ def statistics( categories: Optional[List[float]] = None, percentiles: Optional[List[int]] = None, hist_options: Optional[Dict] = None, - max_size: int = 1024, - **kwargs: Any, + nodata: Optional[NoData] = None, ) -> Dict[str, BandStatistics]: - """Return bands statistics from a dataset.""" - raise NotImplementedError + """Return statistics from a dataset.""" + hist_options = hist_options or {} + + ds = self.input + if nodata is not None: + ds = ds.rio.write_nodata(nodata) + + data = ds.to_masked_array() + data.mask |= data.data == ds.rio.nodata + + stats = get_array_statistics( + data, + categorical=categorical, + categories=categories, + percentiles=percentiles, + **hist_options, + ) + + return { + self.band_names[ix]: BandStatistics(**val) for ix, val in enumerate(stats) + } def tile( self, @@ -203,6 +239,11 @@ def tile( arr = ds.to_masked_array() arr.mask |= arr.data == ds.rio.nodata + output_bounds = ds.rio._unordered_bounds() + if output_bounds[1] > output_bounds[3] and ds.rio.transform().e > 0: + yaxis = self.input.dims.index(self.input.rio.y_dim) + arr = numpy.flip(arr, axis=yaxis) + return ImageData( arr, bounds=tile_bounds, @@ -219,6 +260,10 @@ def part( reproject_method: WarpResampling = "nearest", auto_expand: bool = True, nodata: Optional[NoData] = None, + max_size: Optional[int] = None, + height: Optional[int] = None, + width: Optional[int] = None, + resampling_method: RIOResampling = "nearest", ) -> ImageData: """Read part of a dataset. @@ -229,11 +274,21 @@ def part( reproject_method (WarpResampling, optional): WarpKernel resampling algorithm. Defaults to `nearest`. auto_expand (boolean, optional): When True, rioxarray's clip_box will expand clip search if only 1D raster found with clip. When False, will throw `OneDimensionalRaster` error if only 1 x or y data point is found. Defaults to True. nodata (int or float, optional): Overwrite dataset internal nodata value. + max_size (int, optional): Limit the size of the longest dimension of the dataset read, respecting bounds X/Y aspect ratio. + height (int, optional): Output height of the array. + width (int, optional): Output width of the array. + resampling_method (RIOResampling, optional): RasterIO resampling algorithm. Defaults to `nearest`. Returns: rio_tiler.models.ImageData: ImageData instance with data, mask and input spatial info. """ + if max_size and width and height: + warnings.warn( + "'max_size' will be ignored with with 'height' and 'width' set.", + UserWarning, + ) + dst_crs = dst_crs or bounds_crs ds = self.input @@ -271,7 +326,12 @@ def part( arr = ds.to_masked_array() arr.mask |= arr.data == ds.rio.nodata - return ImageData( + output_bounds = ds.rio._unordered_bounds() + if output_bounds[1] > output_bounds[3] and ds.rio.transform().e > 0: + yaxis = self.input.dims.index(self.input.rio.y_dim) + arr = numpy.flip(arr, axis=yaxis) + + img = ImageData( arr, bounds=ds.rio.bounds(), crs=ds.rio.crs, @@ -279,11 +339,29 @@ def part( band_names=self.band_names, ) + output_height = height or img.height + output_width = width or img.width + if max_size and not (width and height): + output_height, output_width = _get_width_height( + max_size, img.height, img.width + ) + + if output_height != img.height or output_width != img.width: + img = img.resize( + output_height, output_width, resampling_method=resampling_method + ) + + return img + def preview( self, max_size: int = 1024, height: Optional[int] = None, width: Optional[int] = None, + nodata: Optional[NoData] = None, + dst_crs: Optional[CRS] = None, + reproject_method: WarpResampling = "nearest", + resampling_method: RIOResampling = "nearest", ) -> ImageData: """Return a preview of a dataset. @@ -291,12 +369,76 @@ def preview( max_size (int, optional): Limit the size of the longest dimension of the dataset read, respecting bounds X/Y aspect ratio. Defaults to 1024. height (int, optional): Output height of the array. width (int, optional): Output width of the array. + nodata (int or float, optional): Overwrite dataset internal nodata value. + dst_crs (rasterio.crs.CRS, optional): target coordinate reference system. + reproject_method (WarpResampling, optional): WarpKernel resampling algorithm. Defaults to `nearest`. + resampling_method (RIOResampling, optional): RasterIO resampling algorithm. Defaults to `nearest`. Returns: rio_tiler.models.ImageData: ImageData instance with data, mask and input spatial info. """ - raise NotImplementedError + if max_size and width and height: + warnings.warn( + "'max_size' will be ignored with with 'height' and 'width' set.", + UserWarning, + ) + + ds = self.input + if nodata is not None: + ds = ds.rio.write_nodata(nodata) + + if dst_crs and dst_crs != self.crs: + dst_transform, w, h = calculate_default_transform( + self.crs, + dst_crs, + ds.rio.width, + ds.rio.height, + *ds.rio.bounds(), + ) + ds = ds.rio.reproject( + dst_crs, + shape=(h, w), + transform=dst_transform, + resampling=Resampling[reproject_method], + nodata=nodata, + ) + + # Forward valid_min/valid_max to the ImageData object + minv, maxv = ds.attrs.get("valid_min"), ds.attrs.get("valid_max") + stats = None + if minv is not None and maxv is not None: + stats = ((minv, maxv),) * ds.rio.count + + arr = ds.to_masked_array() + arr.mask |= arr.data == ds.rio.nodata + + output_bounds = ds.rio._unordered_bounds() + if output_bounds[1] > output_bounds[3] and ds.rio.transform().e > 0: + yaxis = self.input.dims.index(self.input.rio.y_dim) + arr = numpy.flip(arr, axis=yaxis) + + img = ImageData( + arr, + bounds=ds.rio.bounds(), + crs=ds.rio.crs, + dataset_statistics=stats, + band_names=self.band_names, + ) + + output_height = height or img.height + output_width = width or img.width + if max_size and not (width and height): + output_height, output_width = _get_width_height( + max_size, img.height, img.width + ) + + if output_height != img.height or output_width != img.width: + img = img.resize( + output_height, output_width, resampling_method=resampling_method + ) + + return img def point( self, @@ -347,7 +489,12 @@ def feature( dst_crs: Optional[CRS] = None, shape_crs: CRS = WGS84_CRS, reproject_method: WarpResampling = "nearest", + auto_expand: bool = True, nodata: Optional[NoData] = None, + max_size: Optional[int] = None, + height: Optional[int] = None, + width: Optional[int] = None, + resampling_method: RIOResampling = "nearest", ) -> ImageData: """Read part of a dataset defined by a geojson feature. @@ -356,52 +503,57 @@ def feature( dst_crs (rasterio.crs.CRS, optional): Overwrite target coordinate reference system. shape_crs (rasterio.crs.CRS, optional): Input geojson coordinate reference system. Defaults to `epsg:4326`. reproject_method (WarpResampling, optional): WarpKernel resampling algorithm. Defaults to `nearest`. + auto_expand (boolean, optional): When True, rioxarray's clip_box will expand clip search if only 1D raster found with clip. When False, will throw `OneDimensionalRaster` error if only 1 x or y data point is found. Defaults to True. nodata (int or float, optional): Overwrite dataset internal nodata value. + max_size (int, optional): Limit the size of the longest dimension of the dataset read, respecting bounds X/Y aspect ratio. + height (int, optional): Output height of the array. + width (int, optional): Output width of the array. + resampling_method (RIOResampling, optional): RasterIO resampling algorithm. Defaults to `nearest`. Returns: rio_tiler.models.ImageData: ImageData instance with data, mask and input spatial info. """ + shape = _validate_shape_input(shape) + if not dst_crs: dst_crs = shape_crs - shape = _validate_shape_input(shape) + # Get BBOX of the polygon + bbox = featureBounds(shape) - ds = self.input - if nodata is not None: - ds = ds.rio.write_nodata(nodata) + img = self.part( + bbox, + dst_crs=dst_crs, + bounds_crs=shape_crs, + nodata=nodata, + max_size=max_size, + width=width, + height=height, + reproject_method=reproject_method, + resampling_method=resampling_method, + ) - ds = ds.rio.clip([shape], crs=shape_crs) + if dst_crs != shape_crs: + shape = transform_geom(shape_crs, dst_crs, shape) - if dst_crs != self.crs: - dst_transform, w, h = calculate_default_transform( - self.crs, - dst_crs, - ds.rio.width, - ds.rio.height, - *ds.rio.bounds(), + with warnings.catch_warnings(): + warnings.filterwarnings( + "ignore", + category=NotGeoreferencedWarning, + module="rasterio", ) - ds = ds.rio.reproject( - dst_crs, - shape=(h, w), - transform=dst_transform, - resampling=Resampling[reproject_method], - nodata=nodata, - ) - - # Forward valid_min/valid_max to the ImageData object - minv, maxv = ds.attrs.get("valid_min"), ds.attrs.get("valid_max") - stats = None - if minv is not None and maxv is not None: - stats = ((minv, maxv),) * ds.rio.count - - arr = ds.to_masked_array() - arr.mask |= arr.data == ds.rio.nodata - - return ImageData( - arr, - bounds=ds.rio.bounds(), - crs=ds.rio.crs, - dataset_statistics=stats, - band_names=self.band_names, - ) + cutline_mask = rasterize( + [shape], + out_shape=(img.height, img.width), + transform=img.transform, + all_touched=True, # Mandatory for matching masks at different resolutions + default_value=0, + fill=1, + dtype="uint8", + ).astype("bool") + + img.cutline_mask = cutline_mask + img.array.mask = numpy.where(~cutline_mask, img.array.mask, True) + + return img diff --git a/tests/test_io_xarray.py b/tests/test_io_xarray.py index c8f674aa..d05eaca3 100644 --- a/tests/test_io_xarray.py +++ b/tests/test_io_xarray.py @@ -42,6 +42,10 @@ def test_xarray_reader(): assert info.attrs with XarrayReader(data) as dst: + stats = dst.statistics() + assert stats["2022-01-01T00:00:00.000000000"] + assert stats["2022-01-01T00:00:00.000000000"].min == 0.0 + img = dst.tile(0, 0, 0) assert img.count == 1 assert img.width == 256 @@ -69,8 +73,49 @@ def test_xarray_reader(): assert img.dataset_statistics == ((arr.min(), arr.max()),) img = dst.part((-160, -80, 160, 80)) + assert img.crs == "epsg:4326" + assert img.count == 1 + assert img.band_names == ["2022-01-01T00:00:00.000000000"] + assert img.array.shape == (1, 33, 33) + + img = dst.part((-160, -80, 160, 80), dst_crs="epsg:3857") + assert img.crs == "epsg:3857" + assert img.count == 1 + assert img.band_names == ["2022-01-01T00:00:00.000000000"] + assert img.array.shape == (1, 32, 34) + + img = dst.part((-160, -80, 160, 80), max_size=15) + assert img.array.shape == (1, 15, 15) + + img = dst.part((-160, -80, 160, 80), width=40, height=35) + assert img.array.shape == (1, 35, 40) + + img = dst.part((-160, -80, 160, 80), max_size=15, resampling_method="bilinear") + assert img.array.shape == (1, 15, 15) + + img = dst.preview() + assert img.crs == "epsg:4326" assert img.count == 1 assert img.band_names == ["2022-01-01T00:00:00.000000000"] + assert img.array.shape == (1, 33, 35) + + img = dst.preview(dst_crs="epsg:3857") + assert img.crs == "epsg:3857" + assert img.count == 1 + assert img.band_names == ["2022-01-01T00:00:00.000000000"] + assert img.array.shape == (1, 32, 36) + + img = dst.preview(max_size=None) + assert img.array.shape == (1, 33, 35) + + img = dst.preview(max_size=15) + assert img.array.shape == (1, 15, 15) + + img = dst.preview(max_size=15, resampling_method="bilinear") + assert img.array.shape == (1, 15, 15) + + img = dst.preview(height=25, width=25, max_size=None) + assert img.array.shape == (1, 25, 25) pt = dst.point(0, 0) assert pt.count == 1 @@ -106,11 +151,19 @@ def test_xarray_reader(): img = dst.feature(feat) assert img.count == 1 assert img.band_names == ["2022-01-01T00:00:00.000000000"] + assert img.array.shape == (1, 25, 32) img = dst.feature(feat, dst_crs="epsg:3857") assert img.count == 1 assert img.band_names == ["2022-01-01T00:00:00.000000000"] - assert img.crs.to_epsg() == 3857 + assert img.crs == "epsg:3857" + assert img.array.shape == (1, 20, 35) + + img = dst.feature(feat, max_size=15) + assert img.array.shape == (1, 12, 15) + + img = dst.feature(feat, width=50, height=45) + assert img.array.shape == (1, 45, 50) arr = numpy.zeros((1, 1000, 2000)) data = xarray.DataArray( @@ -122,12 +175,23 @@ def test_xarray_reader(): "time": [datetime(2022, 1, 1)], }, ) - data.attrs.update({"valid_min": arr.min(), "valid_max": arr.max()}) + data.attrs.update( + { + "valid_min": numpy.int16(0), + "valid_max": numpy.int8(10), + "valid_range": numpy.array([arr.min(), arr.max()]), + } + ) data.rio.write_crs("epsg:4326", inplace=True) with XarrayReader(data) as dst: assert dst.minzoom == 5 assert dst.maxzoom == 7 + info = dst.info() + assert info + assert info.model_dump() + assert info.model_dump(mode="json") + assert info.model_dump_json() def test_xarray_reader_external_nodata(): @@ -421,3 +485,117 @@ def test_xarray_reader_invalid_bounds_crs(): data.rio.write_crs("epsg:4326", inplace=True) with XarrayReader(data): pass + + +def test_xarray_reader_no_dims(): + """test XarrayReader with 2D dataset.""" + arr = numpy.arange(0.0, 33 * 35).reshape(33, 35) + data = xarray.DataArray( + arr, + dims=("y", "x"), + coords={ + "x": numpy.arange(-170, 180, 10), + "y": numpy.arange(-80, 85, 5), + }, + ) + data.attrs.update({"valid_min": arr.min(), "valid_max": arr.max()}) + + data.rio.write_crs("epsg:4326", inplace=True) + with XarrayReader(data) as dst: + assert dst.minzoom == dst.maxzoom == 0 + info = dst.info() + assert info.bounds == dst.bounds + crs = info.crs + assert rioCRS.from_user_input(crs) == dst.crs + assert info.band_metadata == [("b1", {})] + assert info.band_descriptions == [("b1", "value")] + assert info.height == 33 + assert info.width == 35 + assert info.count == 1 + assert info.attrs + + with XarrayReader(data) as dst: + stats = dst.statistics() + assert stats["value"] + assert stats["value"].min == 0.0 + + img = dst.tile(0, 0, 0) + assert img.count == 1 + assert img.width == 256 + assert img.height == 256 + assert img.band_names == ["value"] + assert img.dataset_statistics == ((arr.min(), arr.max()),) + + img = dst.part((-160, -80, 160, 80)) + assert img.count == 1 + assert img.width == 33 + assert img.height == 33 + assert img.band_names == ["value"] + assert img.dataset_statistics == ((arr.min(), arr.max()),) + + +def test_xarray_reader_Y_axis(): + """test XarrayReader with 2D dataset.""" + # Create a DataArray where the y coordinates are in increasing order + # (this is the opposite of typical raster data) + # This array will have a positive y resolution in the affine transform + # and the data values increase with the y coordinates + arr = numpy.arange(0, 33 * 35).reshape(1, 33, 35) + data = xarray.DataArray( + arr, + dims=("time", "y", "x"), + coords={ + "x": numpy.arange(-170, 180, 10), + "y": numpy.arange(-80, 85, 5), + "time": [datetime(2022, 1, 1)], + }, + ) + data.attrs.update({"valid_min": arr.min(), "valid_max": arr.max()}) + data.rio.write_crs("epsg:4326", inplace=True) + + # make sure the data is inverted + # y resolution is Positive and origin is bottom left + left, bottom, right, top = data.rio._unordered_bounds() + assert bottom > top + assert data.rio.transform().e > 0 + + with XarrayReader(data) as dst: + assert dst.bounds == (left, top, right, bottom) + img = dst.preview() + assert img.bounds == dst.bounds + assert img.array[0, 0, 0] > img.array[0, -1, -1] + + img = dst.tile(1, 1, 2) + assert img.array[0, 0, 0] > img.array[0, -1, -1] + + # Create a DataArray where the y coordinates are in decreasing order + # (this is typical for raster data) + # This array will have a negative y resolution in the affine transform + # and the data values decrease with the y coordinates + arr = numpy.arange(0, 33 * 35).reshape(1, 33, 35) + data = xarray.DataArray( + arr, + dims=("time", "y", "x"), + coords={ + "x": numpy.arange(-170, 180, 10), + "y": numpy.flip(numpy.arange(-80, 85, 5)), + "time": [datetime(2022, 1, 1)], + }, + ) + data.attrs.update({"valid_min": arr.min(), "valid_max": arr.max()}) + data.rio.write_crs("epsg:4326", inplace=True) + + # make sure the data is NOT inverted + # y resolution is Negative and origin is top left + left, bottom, right, top = data.rio._unordered_bounds() + assert bottom < top + assert data.rio.transform().e < 0 + + with XarrayReader(data) as dst: + assert dst.bounds == (left, bottom, right, top) + img = dst.preview() + assert img.bounds == dst.bounds + assert img.array[0, 0, 0] < img.array[0, -1, -1] + + img = dst.tile(1, 1, 2) + assert img.array[0, 0, 0] < img.array[0, -1, -1]