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rasterio “invalid dtype: 'bool'”


Python, GDAL, VRT: help wth code efficiency and processing timeGDAL (or other open-source) equivalent of Arc's Point To Raster ToolCalculating NDVI with RasterioReading raster files by block with rasterio?First time rasterio errorUpdate geotiff metadata with rasterioRasterio write_band output has no CRSRasterizing by attribute in rasterioCannot upscale raster with rasterioStoring image with rasterio as gtiff modifies image histogram






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty
margin-bottom:0;









1

















I want to write a binary raster to disk. I have the numpy array whose dtype is:



dtype('bool')


I try to open a GTiff for writing:



img_output = rasterio.open(
"../../binary_output.tif",
'w',
driver='GTiff',
nodata=nd,
height=self.raster.height,
width = self.raster.width,
count=1,
dtype = binary_raster.dtype,
crs=self.raster.crs,
transform=self.raster.transform,)


But I end up with:



TypeError: invalid dtype: 'bool'


I have also tried things like:



dtype = bool
dtype = 'bool'
dtype = "bool"


What is the problem with this? According to the docs, dtype can be any numpy dtype. How do I write a binary raster?










share|improve this question
































    1

















    I want to write a binary raster to disk. I have the numpy array whose dtype is:



    dtype('bool')


    I try to open a GTiff for writing:



    img_output = rasterio.open(
    "../../binary_output.tif",
    'w',
    driver='GTiff',
    nodata=nd,
    height=self.raster.height,
    width = self.raster.width,
    count=1,
    dtype = binary_raster.dtype,
    crs=self.raster.crs,
    transform=self.raster.transform,)


    But I end up with:



    TypeError: invalid dtype: 'bool'


    I have also tried things like:



    dtype = bool
    dtype = 'bool'
    dtype = "bool"


    What is the problem with this? According to the docs, dtype can be any numpy dtype. How do I write a binary raster?










    share|improve this question




























      1












      1








      1








      I want to write a binary raster to disk. I have the numpy array whose dtype is:



      dtype('bool')


      I try to open a GTiff for writing:



      img_output = rasterio.open(
      "../../binary_output.tif",
      'w',
      driver='GTiff',
      nodata=nd,
      height=self.raster.height,
      width = self.raster.width,
      count=1,
      dtype = binary_raster.dtype,
      crs=self.raster.crs,
      transform=self.raster.transform,)


      But I end up with:



      TypeError: invalid dtype: 'bool'


      I have also tried things like:



      dtype = bool
      dtype = 'bool'
      dtype = "bool"


      What is the problem with this? According to the docs, dtype can be any numpy dtype. How do I write a binary raster?










      share|improve this question















      I want to write a binary raster to disk. I have the numpy array whose dtype is:



      dtype('bool')


      I try to open a GTiff for writing:



      img_output = rasterio.open(
      "../../binary_output.tif",
      'w',
      driver='GTiff',
      nodata=nd,
      height=self.raster.height,
      width = self.raster.width,
      count=1,
      dtype = binary_raster.dtype,
      crs=self.raster.crs,
      transform=self.raster.transform,)


      But I end up with:



      TypeError: invalid dtype: 'bool'


      I have also tried things like:



      dtype = bool
      dtype = 'bool'
      dtype = "bool"


      What is the problem with this? According to the docs, dtype can be any numpy dtype. How do I write a binary raster?







      python raster gdal rasterio






      share|improve this question














      share|improve this question











      share|improve this question




      share|improve this question










      asked 8 hours ago









      Jan PislJan Pisl

      848 bronze badges




      848 bronze badges























          2 Answers
          2






          active

          oldest

          votes


















          3


















          If you call rasterio.dtypes.check_dtype(np.bool_) you'll see that it's not a known dtype, because gdal doesn't support a true 1-bit dtype. GDT_Byte is the smallest. The list that rasterio is checking against is:



          dtype_fwd = 
          0: None, # GDT_Unknown
          1: ubyte, # GDT_Byte
          2: uint16, # GDT_UInt16
          3: int16, # GDT_Int16
          4: uint32, # GDT_UInt32
          5: int32, # GDT_Int32
          6: float32, # GDT_Float32
          7: float64, # GDT_Float64
          8: complex_, # GDT_CInt16
          9: complex_, # GDT_CInt32
          10: complex64, # GDT_CFloat32
          11: complex128 # GDT_CFloat64


          uint8 and int8 are mapped to the ubyte, as seen here:



          https://github.com/mapbox/rasterio/blob/master/rasterio/dtypes.py#L29-L45






          share|improve this answer


























          • ah, okay, thanks. do you perhaps have any suggestion how to store a binary raster then?

            – Jan Pisl
            7 hours ago











          • i might be missing something but it seems very strange to me that bool dtype is not an option. surely, storing a boolean raster must be a common task.

            – Jan Pisl
            7 hours ago






          • 2





            I'd just save it as a byte raster only containing the values 0,1. You can use your_array.astype(np.uint8) before saving it out, and then if you load it later you can do the reverse if necessary, your_array.astype(np.bool_). I'm not sure of the exact reasons behind gdal not having a 1-bit data type, but it potentially it has to do with the fact that a byte is the minimum addressable unit of data on most computer systems, so it's common to use a whole byte to store a boolean value. Doing so is less memory efficient but more computationally efficient.

            – mikewatt
            6 hours ago







          • 1





            This is generally correct, except that the underlying GDAL GeoTIFF driver can write datasets with nbits < 8, see my answer for details.

            – user2856
            4 hours ago











          • Oh neat, I never noticed that creation option

            – mikewatt
            3 hours ago


















          2


















          Yes, you can write a one bit raster with rasterio*.



          You need to:



          1. write to a format that supports a 1bit dataset, such as GeoTIFF;

          2. ensure your numpy array is np.uint8/ubyte so rasterio doesnt raise the TypeError: invalid dtype: 'bool' exception; and

          3. pass the NBITS=1 creation option to tell the underlying GDAL GeoTIFF driver to create a one bit file.


          import numpy as np
          import rasterio as rio

          with rio.open('test_byte.tif') as src:
          data = src.read()
          profile = src.profile

          with rio.open('test_bit.tif', 'w', nbits=1, **profile) as dst:
          dst.write(data)
          # If your array is not a byte dtype, you need to cast it as ubyte/uint8
          # dst.write(data.astype(np.uint8))



          $ ls -sh test_bit.tif
          228K test_bit.tif

          $ ls -sh test_byte.tif
          1.8M test_byte.tif

          $ gdalinfo test_bit.tif
          Driver: GTiff/GeoTIFF
          Files: test_bit.tif
          Size is 1588, 1167
          <snip...>
          Band 1 Block=1588x41 Type=Byte, ColorInterp=Palette
          Image Structure Metadata:
          NBITS=1

          $ gdalinfo test_byte.tif
          Driver: GTiff/GeoTIFF
          Files: test_byte.tif
          Size is 1588, 1167
          <snip...>
          Band 1 Block=1588x5 Type=Byte, ColorInterp=Gray


          * whether or not any software other than GDAL based can read it, I don't know...






          share|improve this answer





























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            2 Answers
            2






            active

            oldest

            votes








            2 Answers
            2






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            3


















            If you call rasterio.dtypes.check_dtype(np.bool_) you'll see that it's not a known dtype, because gdal doesn't support a true 1-bit dtype. GDT_Byte is the smallest. The list that rasterio is checking against is:



            dtype_fwd = 
            0: None, # GDT_Unknown
            1: ubyte, # GDT_Byte
            2: uint16, # GDT_UInt16
            3: int16, # GDT_Int16
            4: uint32, # GDT_UInt32
            5: int32, # GDT_Int32
            6: float32, # GDT_Float32
            7: float64, # GDT_Float64
            8: complex_, # GDT_CInt16
            9: complex_, # GDT_CInt32
            10: complex64, # GDT_CFloat32
            11: complex128 # GDT_CFloat64


            uint8 and int8 are mapped to the ubyte, as seen here:



            https://github.com/mapbox/rasterio/blob/master/rasterio/dtypes.py#L29-L45






            share|improve this answer


























            • ah, okay, thanks. do you perhaps have any suggestion how to store a binary raster then?

              – Jan Pisl
              7 hours ago











            • i might be missing something but it seems very strange to me that bool dtype is not an option. surely, storing a boolean raster must be a common task.

              – Jan Pisl
              7 hours ago






            • 2





              I'd just save it as a byte raster only containing the values 0,1. You can use your_array.astype(np.uint8) before saving it out, and then if you load it later you can do the reverse if necessary, your_array.astype(np.bool_). I'm not sure of the exact reasons behind gdal not having a 1-bit data type, but it potentially it has to do with the fact that a byte is the minimum addressable unit of data on most computer systems, so it's common to use a whole byte to store a boolean value. Doing so is less memory efficient but more computationally efficient.

              – mikewatt
              6 hours ago







            • 1





              This is generally correct, except that the underlying GDAL GeoTIFF driver can write datasets with nbits < 8, see my answer for details.

              – user2856
              4 hours ago











            • Oh neat, I never noticed that creation option

              – mikewatt
              3 hours ago















            3


















            If you call rasterio.dtypes.check_dtype(np.bool_) you'll see that it's not a known dtype, because gdal doesn't support a true 1-bit dtype. GDT_Byte is the smallest. The list that rasterio is checking against is:



            dtype_fwd = 
            0: None, # GDT_Unknown
            1: ubyte, # GDT_Byte
            2: uint16, # GDT_UInt16
            3: int16, # GDT_Int16
            4: uint32, # GDT_UInt32
            5: int32, # GDT_Int32
            6: float32, # GDT_Float32
            7: float64, # GDT_Float64
            8: complex_, # GDT_CInt16
            9: complex_, # GDT_CInt32
            10: complex64, # GDT_CFloat32
            11: complex128 # GDT_CFloat64


            uint8 and int8 are mapped to the ubyte, as seen here:



            https://github.com/mapbox/rasterio/blob/master/rasterio/dtypes.py#L29-L45






            share|improve this answer


























            • ah, okay, thanks. do you perhaps have any suggestion how to store a binary raster then?

              – Jan Pisl
              7 hours ago











            • i might be missing something but it seems very strange to me that bool dtype is not an option. surely, storing a boolean raster must be a common task.

              – Jan Pisl
              7 hours ago






            • 2





              I'd just save it as a byte raster only containing the values 0,1. You can use your_array.astype(np.uint8) before saving it out, and then if you load it later you can do the reverse if necessary, your_array.astype(np.bool_). I'm not sure of the exact reasons behind gdal not having a 1-bit data type, but it potentially it has to do with the fact that a byte is the minimum addressable unit of data on most computer systems, so it's common to use a whole byte to store a boolean value. Doing so is less memory efficient but more computationally efficient.

              – mikewatt
              6 hours ago







            • 1





              This is generally correct, except that the underlying GDAL GeoTIFF driver can write datasets with nbits < 8, see my answer for details.

              – user2856
              4 hours ago











            • Oh neat, I never noticed that creation option

              – mikewatt
              3 hours ago













            3














            3










            3









            If you call rasterio.dtypes.check_dtype(np.bool_) you'll see that it's not a known dtype, because gdal doesn't support a true 1-bit dtype. GDT_Byte is the smallest. The list that rasterio is checking against is:



            dtype_fwd = 
            0: None, # GDT_Unknown
            1: ubyte, # GDT_Byte
            2: uint16, # GDT_UInt16
            3: int16, # GDT_Int16
            4: uint32, # GDT_UInt32
            5: int32, # GDT_Int32
            6: float32, # GDT_Float32
            7: float64, # GDT_Float64
            8: complex_, # GDT_CInt16
            9: complex_, # GDT_CInt32
            10: complex64, # GDT_CFloat32
            11: complex128 # GDT_CFloat64


            uint8 and int8 are mapped to the ubyte, as seen here:



            https://github.com/mapbox/rasterio/blob/master/rasterio/dtypes.py#L29-L45






            share|improve this answer














            If you call rasterio.dtypes.check_dtype(np.bool_) you'll see that it's not a known dtype, because gdal doesn't support a true 1-bit dtype. GDT_Byte is the smallest. The list that rasterio is checking against is:



            dtype_fwd = 
            0: None, # GDT_Unknown
            1: ubyte, # GDT_Byte
            2: uint16, # GDT_UInt16
            3: int16, # GDT_Int16
            4: uint32, # GDT_UInt32
            5: int32, # GDT_Int32
            6: float32, # GDT_Float32
            7: float64, # GDT_Float64
            8: complex_, # GDT_CInt16
            9: complex_, # GDT_CInt32
            10: complex64, # GDT_CFloat32
            11: complex128 # GDT_CFloat64


            uint8 and int8 are mapped to the ubyte, as seen here:



            https://github.com/mapbox/rasterio/blob/master/rasterio/dtypes.py#L29-L45







            share|improve this answer













            share|improve this answer




            share|improve this answer










            answered 7 hours ago









            mikewattmikewatt

            1,3343 silver badges12 bronze badges




            1,3343 silver badges12 bronze badges















            • ah, okay, thanks. do you perhaps have any suggestion how to store a binary raster then?

              – Jan Pisl
              7 hours ago











            • i might be missing something but it seems very strange to me that bool dtype is not an option. surely, storing a boolean raster must be a common task.

              – Jan Pisl
              7 hours ago






            • 2





              I'd just save it as a byte raster only containing the values 0,1. You can use your_array.astype(np.uint8) before saving it out, and then if you load it later you can do the reverse if necessary, your_array.astype(np.bool_). I'm not sure of the exact reasons behind gdal not having a 1-bit data type, but it potentially it has to do with the fact that a byte is the minimum addressable unit of data on most computer systems, so it's common to use a whole byte to store a boolean value. Doing so is less memory efficient but more computationally efficient.

              – mikewatt
              6 hours ago







            • 1





              This is generally correct, except that the underlying GDAL GeoTIFF driver can write datasets with nbits < 8, see my answer for details.

              – user2856
              4 hours ago











            • Oh neat, I never noticed that creation option

              – mikewatt
              3 hours ago

















            • ah, okay, thanks. do you perhaps have any suggestion how to store a binary raster then?

              – Jan Pisl
              7 hours ago











            • i might be missing something but it seems very strange to me that bool dtype is not an option. surely, storing a boolean raster must be a common task.

              – Jan Pisl
              7 hours ago






            • 2





              I'd just save it as a byte raster only containing the values 0,1. You can use your_array.astype(np.uint8) before saving it out, and then if you load it later you can do the reverse if necessary, your_array.astype(np.bool_). I'm not sure of the exact reasons behind gdal not having a 1-bit data type, but it potentially it has to do with the fact that a byte is the minimum addressable unit of data on most computer systems, so it's common to use a whole byte to store a boolean value. Doing so is less memory efficient but more computationally efficient.

              – mikewatt
              6 hours ago







            • 1





              This is generally correct, except that the underlying GDAL GeoTIFF driver can write datasets with nbits < 8, see my answer for details.

              – user2856
              4 hours ago











            • Oh neat, I never noticed that creation option

              – mikewatt
              3 hours ago
















            ah, okay, thanks. do you perhaps have any suggestion how to store a binary raster then?

            – Jan Pisl
            7 hours ago





            ah, okay, thanks. do you perhaps have any suggestion how to store a binary raster then?

            – Jan Pisl
            7 hours ago













            i might be missing something but it seems very strange to me that bool dtype is not an option. surely, storing a boolean raster must be a common task.

            – Jan Pisl
            7 hours ago





            i might be missing something but it seems very strange to me that bool dtype is not an option. surely, storing a boolean raster must be a common task.

            – Jan Pisl
            7 hours ago




            2




            2





            I'd just save it as a byte raster only containing the values 0,1. You can use your_array.astype(np.uint8) before saving it out, and then if you load it later you can do the reverse if necessary, your_array.astype(np.bool_). I'm not sure of the exact reasons behind gdal not having a 1-bit data type, but it potentially it has to do with the fact that a byte is the minimum addressable unit of data on most computer systems, so it's common to use a whole byte to store a boolean value. Doing so is less memory efficient but more computationally efficient.

            – mikewatt
            6 hours ago






            I'd just save it as a byte raster only containing the values 0,1. You can use your_array.astype(np.uint8) before saving it out, and then if you load it later you can do the reverse if necessary, your_array.astype(np.bool_). I'm not sure of the exact reasons behind gdal not having a 1-bit data type, but it potentially it has to do with the fact that a byte is the minimum addressable unit of data on most computer systems, so it's common to use a whole byte to store a boolean value. Doing so is less memory efficient but more computationally efficient.

            – mikewatt
            6 hours ago





            1




            1





            This is generally correct, except that the underlying GDAL GeoTIFF driver can write datasets with nbits < 8, see my answer for details.

            – user2856
            4 hours ago





            This is generally correct, except that the underlying GDAL GeoTIFF driver can write datasets with nbits < 8, see my answer for details.

            – user2856
            4 hours ago













            Oh neat, I never noticed that creation option

            – mikewatt
            3 hours ago





            Oh neat, I never noticed that creation option

            – mikewatt
            3 hours ago













            2


















            Yes, you can write a one bit raster with rasterio*.



            You need to:



            1. write to a format that supports a 1bit dataset, such as GeoTIFF;

            2. ensure your numpy array is np.uint8/ubyte so rasterio doesnt raise the TypeError: invalid dtype: 'bool' exception; and

            3. pass the NBITS=1 creation option to tell the underlying GDAL GeoTIFF driver to create a one bit file.


            import numpy as np
            import rasterio as rio

            with rio.open('test_byte.tif') as src:
            data = src.read()
            profile = src.profile

            with rio.open('test_bit.tif', 'w', nbits=1, **profile) as dst:
            dst.write(data)
            # If your array is not a byte dtype, you need to cast it as ubyte/uint8
            # dst.write(data.astype(np.uint8))



            $ ls -sh test_bit.tif
            228K test_bit.tif

            $ ls -sh test_byte.tif
            1.8M test_byte.tif

            $ gdalinfo test_bit.tif
            Driver: GTiff/GeoTIFF
            Files: test_bit.tif
            Size is 1588, 1167
            <snip...>
            Band 1 Block=1588x41 Type=Byte, ColorInterp=Palette
            Image Structure Metadata:
            NBITS=1

            $ gdalinfo test_byte.tif
            Driver: GTiff/GeoTIFF
            Files: test_byte.tif
            Size is 1588, 1167
            <snip...>
            Band 1 Block=1588x5 Type=Byte, ColorInterp=Gray


            * whether or not any software other than GDAL based can read it, I don't know...






            share|improve this answer
































              2


















              Yes, you can write a one bit raster with rasterio*.



              You need to:



              1. write to a format that supports a 1bit dataset, such as GeoTIFF;

              2. ensure your numpy array is np.uint8/ubyte so rasterio doesnt raise the TypeError: invalid dtype: 'bool' exception; and

              3. pass the NBITS=1 creation option to tell the underlying GDAL GeoTIFF driver to create a one bit file.


              import numpy as np
              import rasterio as rio

              with rio.open('test_byte.tif') as src:
              data = src.read()
              profile = src.profile

              with rio.open('test_bit.tif', 'w', nbits=1, **profile) as dst:
              dst.write(data)
              # If your array is not a byte dtype, you need to cast it as ubyte/uint8
              # dst.write(data.astype(np.uint8))



              $ ls -sh test_bit.tif
              228K test_bit.tif

              $ ls -sh test_byte.tif
              1.8M test_byte.tif

              $ gdalinfo test_bit.tif
              Driver: GTiff/GeoTIFF
              Files: test_bit.tif
              Size is 1588, 1167
              <snip...>
              Band 1 Block=1588x41 Type=Byte, ColorInterp=Palette
              Image Structure Metadata:
              NBITS=1

              $ gdalinfo test_byte.tif
              Driver: GTiff/GeoTIFF
              Files: test_byte.tif
              Size is 1588, 1167
              <snip...>
              Band 1 Block=1588x5 Type=Byte, ColorInterp=Gray


              * whether or not any software other than GDAL based can read it, I don't know...






              share|improve this answer






























                2














                2










                2









                Yes, you can write a one bit raster with rasterio*.



                You need to:



                1. write to a format that supports a 1bit dataset, such as GeoTIFF;

                2. ensure your numpy array is np.uint8/ubyte so rasterio doesnt raise the TypeError: invalid dtype: 'bool' exception; and

                3. pass the NBITS=1 creation option to tell the underlying GDAL GeoTIFF driver to create a one bit file.


                import numpy as np
                import rasterio as rio

                with rio.open('test_byte.tif') as src:
                data = src.read()
                profile = src.profile

                with rio.open('test_bit.tif', 'w', nbits=1, **profile) as dst:
                dst.write(data)
                # If your array is not a byte dtype, you need to cast it as ubyte/uint8
                # dst.write(data.astype(np.uint8))



                $ ls -sh test_bit.tif
                228K test_bit.tif

                $ ls -sh test_byte.tif
                1.8M test_byte.tif

                $ gdalinfo test_bit.tif
                Driver: GTiff/GeoTIFF
                Files: test_bit.tif
                Size is 1588, 1167
                <snip...>
                Band 1 Block=1588x41 Type=Byte, ColorInterp=Palette
                Image Structure Metadata:
                NBITS=1

                $ gdalinfo test_byte.tif
                Driver: GTiff/GeoTIFF
                Files: test_byte.tif
                Size is 1588, 1167
                <snip...>
                Band 1 Block=1588x5 Type=Byte, ColorInterp=Gray


                * whether or not any software other than GDAL based can read it, I don't know...






                share|improve this answer
















                Yes, you can write a one bit raster with rasterio*.



                You need to:



                1. write to a format that supports a 1bit dataset, such as GeoTIFF;

                2. ensure your numpy array is np.uint8/ubyte so rasterio doesnt raise the TypeError: invalid dtype: 'bool' exception; and

                3. pass the NBITS=1 creation option to tell the underlying GDAL GeoTIFF driver to create a one bit file.


                import numpy as np
                import rasterio as rio

                with rio.open('test_byte.tif') as src:
                data = src.read()
                profile = src.profile

                with rio.open('test_bit.tif', 'w', nbits=1, **profile) as dst:
                dst.write(data)
                # If your array is not a byte dtype, you need to cast it as ubyte/uint8
                # dst.write(data.astype(np.uint8))



                $ ls -sh test_bit.tif
                228K test_bit.tif

                $ ls -sh test_byte.tif
                1.8M test_byte.tif

                $ gdalinfo test_bit.tif
                Driver: GTiff/GeoTIFF
                Files: test_bit.tif
                Size is 1588, 1167
                <snip...>
                Band 1 Block=1588x41 Type=Byte, ColorInterp=Palette
                Image Structure Metadata:
                NBITS=1

                $ gdalinfo test_byte.tif
                Driver: GTiff/GeoTIFF
                Files: test_byte.tif
                Size is 1588, 1167
                <snip...>
                Band 1 Block=1588x5 Type=Byte, ColorInterp=Gray


                * whether or not any software other than GDAL based can read it, I don't know...







                share|improve this answer















                share|improve this answer




                share|improve this answer








                edited 33 mins ago

























                answered 4 hours ago









                user2856user2856

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