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        "author": "Thomas Maschler",
        "author_email": "thomas.maschler@wri.org",
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            "License :: OSI Approved :: MIT License",
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        "description": "# raster2points\n\nConvert one or multiple raster images to points.\nTool will read first input raster and extract lat/lon coordinates and values\nfor all pixels which have data. Optional it calculates geodesic area for each point based on pixel size.\nSuccessive input rasters will use data mask from first input raster.\n\nReturns a Pandas dataframe, CLI will export results as CSV file.\n\nInput files can be local file paths or S3 paths, or a mix. For reading from\nS3, you'll need [AWS credentials configured](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/configuration.html),\nsuch as with a profile in `~/.aws` and an `AWS_PROFILE` variable in your environment.\n\nMulti-worker only works with S3 inputs, not local files.\n\n## Installation and Dependencies\n\nThis module uses rasterio and requires `GDAL>=1.11`.\nUse pip to install.\n\n```bash\npip install raster2points\n```\n\n## CLI Usage:\n```bash\nraster2csv.py   [-h]\n                [--col_names COL_NAMES [COL_NAMES ...]]\n                [--separator {,,;,t}]\n                [--max_block_size MAX_BLOCK_SIZE]\n                [--calc_area [CALC_AREA]]\n                [--workers WORKERS]\n                INPUT [INPUT ...]\n                OUTPUT\n\n```\n\n## Python Usage\nYou can also use the module directly in python. It will return a\nPandas dataframe with your data.\n\n\nGet Pandas data frame\n```python\nfrom raster2points import raster2df\n\nraster1 = \"path/to/file1.tif\"\nraster2 = \"path/to/file2.tif\"\n\ndf = raster2df(raster1, raster2, col_names=[\"name1\", \"name2\"], calc_area=True)\n\nprint(df.columns)\nprint(df.dtypes)\n\ndf.head()\n```\n\nExport to TSV\n```python\nfrom raster2points import raster2csv\n\nraster1 = \"path/to/file1.tif\"\nraster2 = \"path/to/file2.tif\"\noutput = \"path/to/newfile.tsv\"\n\nraster2csv(raster1, raster2, output, col_names=[\"name1\", \"name2\"], separator=\"\\t\", calc_area=True)\n```\n\n\n",
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        "license": "MIT",
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