Python django.contrib.gis.shortcuts.numpy.ndarray() Examples

The following are code examples for showing how to use django.contrib.gis.shortcuts.numpy.ndarray(). They are from open source Python projects. You can vote up the examples you like or vote down the ones you don't like.

Example 1
Project: liberator   Author: libscie   File: coordseq.py    Creative Commons Zero v1.0 Universal 6 votes vote down vote up
def __setitem__(self, index, value):
        "Sets the coordinate sequence value at the given index."
        # Checking the input value
        if isinstance(value, (list, tuple)):
            pass
        elif numpy and isinstance(value, numpy.ndarray):
            pass
        else:
            raise TypeError('Must set coordinate with a sequence (list, tuple, or numpy array).')
        # Checking the dims of the input
        if self.dims == 3 and self._z:
            n_args = 3
            set_3d = True
        else:
            n_args = 2
            set_3d = False
        if len(value) != n_args:
            raise TypeError('Dimension of value does not match.')
        # Setting the X, Y, Z
        self.setX(index, value[0])
        self.setY(index, value[1])
        if set_3d:
            self.setZ(index, value[2])

    # #### Internal Routines #### 
Example 2
Project: PopularityBased-SearchEngine   Author: rsunder10   File: coordseq.py    MIT License 6 votes vote down vote up
def __setitem__(self, index, value):
        "Sets the coordinate sequence value at the given index."
        # Checking the input value
        if isinstance(value, (list, tuple)):
            pass
        elif numpy and isinstance(value, numpy.ndarray):
            pass
        else:
            raise TypeError('Must set coordinate with a sequence (list, tuple, or numpy array).')
        # Checking the dims of the input
        if self.dims == 3 and self._z:
            n_args = 3
            set_3d = True
        else:
            n_args = 2
            set_3d = False
        if len(value) != n_args:
            raise TypeError('Dimension of value does not match.')
        # Setting the X, Y, Z
        self.setX(index, value[0])
        self.setY(index, value[1])
        if set_3d:
            self.setZ(index, value[2])

    # #### Internal Routines #### 
Example 3
Project: Gypsy   Author: benticarlos   File: coordseq.py    MIT License 6 votes vote down vote up
def __setitem__(self, index, value):
        "Sets the coordinate sequence value at the given index."
        # Checking the input value
        if isinstance(value, (list, tuple)):
            pass
        elif numpy and isinstance(value, numpy.ndarray):
            pass
        else:
            raise TypeError('Must set coordinate with a sequence (list, tuple, or numpy array).')
        # Checking the dims of the input
        if self.dims == 3 and self._z:
            n_args = 3
            set_3d = True
        else:
            n_args = 2
            set_3d = False
        if len(value) != n_args:
            raise TypeError('Dimension of value does not match.')
        # Setting the X, Y, Z
        self.setX(index, value[0])
        self.setY(index, value[1])
        if set_3d:
            self.setZ(index, value[2])

    # #### Internal Routines #### 
Example 4
Project: tribune   Author: alex-muliande   File: coordseq.py    MIT License 6 votes vote down vote up
def __setitem__(self, index, value):
        "Sets the coordinate sequence value at the given index."
        # Checking the input value
        if isinstance(value, (list, tuple)):
            pass
        elif numpy and isinstance(value, numpy.ndarray):
            pass
        else:
            raise TypeError('Must set coordinate with a sequence (list, tuple, or numpy array).')
        # Checking the dims of the input
        if self.dims == 3 and self._z:
            n_args = 3
            set_3d = True
        else:
            n_args = 2
            set_3d = False
        if len(value) != n_args:
            raise TypeError('Dimension of value does not match.')
        # Setting the X, Y, Z
        self.setX(index, value[0])
        self.setY(index, value[1])
        if set_3d:
            self.setZ(index, value[2])

    # #### Internal Routines #### 
Example 5
Project: Django_To_Do   Author: IEEE-VIT   File: coordseq.py    MIT License 6 votes vote down vote up
def __setitem__(self, index, value):
        "Set the coordinate sequence value at the given index."
        # Checking the input value
        if isinstance(value, (list, tuple)):
            pass
        elif numpy and isinstance(value, numpy.ndarray):
            pass
        else:
            raise TypeError('Must set coordinate with a sequence (list, tuple, or numpy array).')
        # Checking the dims of the input
        if self.dims == 3 and self._z:
            n_args = 3
            point_setter = self._set_point_3d
        else:
            n_args = 2
            point_setter = self._set_point_2d
        if len(value) != n_args:
            raise TypeError('Dimension of value does not match.')
        self._checkindex(index)
        point_setter(index, value)

    # #### Internal Routines #### 
Example 6
Project: openhgsenti   Author: drexly   File: coordseq.py    Apache License 2.0 6 votes vote down vote up
def __setitem__(self, index, value):
        "Sets the coordinate sequence value at the given index."
        # Checking the input value
        if isinstance(value, (list, tuple)):
            pass
        elif numpy and isinstance(value, numpy.ndarray):
            pass
        else:
            raise TypeError('Must set coordinate with a sequence (list, tuple, or numpy array).')
        # Checking the dims of the input
        if self.dims == 3 and self._z:
            n_args = 3
            set_3d = True
        else:
            n_args = 2
            set_3d = False
        if len(value) != n_args:
            raise TypeError('Dimension of value does not match.')
        # Setting the X, Y, Z
        self.setX(index, value[0])
        self.setY(index, value[1])
        if set_3d:
            self.setZ(index, value[2])

    # #### Internal Routines #### 
Example 7
Project: Hood   Author: Monroe100   File: coordseq.py    MIT License 6 votes vote down vote up
def __setitem__(self, index, value):
        "Sets the coordinate sequence value at the given index."
        # Checking the input value
        if isinstance(value, (list, tuple)):
            pass
        elif numpy and isinstance(value, numpy.ndarray):
            pass
        else:
            raise TypeError('Must set coordinate with a sequence (list, tuple, or numpy array).')
        # Checking the dims of the input
        if self.dims == 3 and self._z:
            n_args = 3
            set_3d = True
        else:
            n_args = 2
            set_3d = False
        if len(value) != n_args:
            raise TypeError('Dimension of value does not match.')
        # Setting the X, Y, Z
        self.setX(index, value[0])
        self.setY(index, value[1])
        if set_3d:
            self.setZ(index, value[2])

    # #### Internal Routines #### 
Example 8
Project: VirtualGym   Author: LuBrian   File: coordseq.py    MIT License 6 votes vote down vote up
def __setitem__(self, index, value):
        "Sets the coordinate sequence value at the given index."
        # Checking the input value
        if isinstance(value, (list, tuple)):
            pass
        elif numpy and isinstance(value, numpy.ndarray):
            pass
        else:
            raise TypeError('Must set coordinate with a sequence (list, tuple, or numpy array).')
        # Checking the dims of the input
        if self.dims == 3 and self._z:
            n_args = 3
            set_3d = True
        else:
            n_args = 2
            set_3d = False
        if len(value) != n_args:
            raise TypeError('Dimension of value does not match.')
        # Setting the X, Y, Z
        self.setX(index, value[0])
        self.setY(index, value[1])
        if set_3d:
            self.setZ(index, value[2])

    # #### Internal Routines #### 
Example 9
Project: Uber-django-   Author: zecollokaris   File: coordseq.py    MIT License 6 votes vote down vote up
def __setitem__(self, index, value):
        "Set the coordinate sequence value at the given index."
        # Checking the input value
        if isinstance(value, (list, tuple)):
            pass
        elif numpy and isinstance(value, numpy.ndarray):
            pass
        else:
            raise TypeError('Must set coordinate with a sequence (list, tuple, or numpy array).')
        # Checking the dims of the input
        if self.dims == 3 and self._z:
            n_args = 3
            point_setter = self._set_point_3d
        else:
            n_args = 2
            point_setter = self._set_point_2d
        if len(value) != n_args:
            raise TypeError('Dimension of value does not match.')
        self._checkindex(index)
        point_setter(index, value)

    # #### Internal Routines #### 
Example 10
Project: aspiring_youth   Author: sunx2   File: coordseq.py    MIT License 6 votes vote down vote up
def __setitem__(self, index, value):
        "Set the coordinate sequence value at the given index."
        # Checking the input value
        if isinstance(value, (list, tuple)):
            pass
        elif numpy and isinstance(value, numpy.ndarray):
            pass
        else:
            raise TypeError('Must set coordinate with a sequence (list, tuple, or numpy array).')
        # Checking the dims of the input
        if self.dims == 3 and self._z:
            n_args = 3
            point_setter = self._set_point_3d
        else:
            n_args = 2
            point_setter = self._set_point_2d
        if len(value) != n_args:
            raise TypeError('Dimension of value does not match.')
        self._checkindex(index)
        point_setter(index, value)

    # #### Internal Routines #### 
Example 11
Project: Karmo-Onsite-Judge   Author: chunky2808   File: coordseq.py    MIT License 6 votes vote down vote up
def __setitem__(self, index, value):
        "Sets the coordinate sequence value at the given index."
        # Checking the input value
        if isinstance(value, (list, tuple)):
            pass
        elif numpy and isinstance(value, numpy.ndarray):
            pass
        else:
            raise TypeError('Must set coordinate with a sequence (list, tuple, or numpy array).')
        # Checking the dims of the input
        if self.dims == 3 and self._z:
            n_args = 3
            set_3d = True
        else:
            n_args = 2
            set_3d = False
        if len(value) != n_args:
            raise TypeError('Dimension of value does not match.')
        # Setting the X, Y, Z
        self.setX(index, value[0])
        self.setY(index, value[1])
        if set_3d:
            self.setZ(index, value[2])

    # #### Internal Routines #### 
Example 12
Project: kasir   Author: iColdPlayer   File: coordseq.py    MIT License 6 votes vote down vote up
def __setitem__(self, index, value):
        "Set the coordinate sequence value at the given index."
        # Checking the input value
        if isinstance(value, (list, tuple)):
            pass
        elif numpy and isinstance(value, numpy.ndarray):
            pass
        else:
            raise TypeError('Must set coordinate with a sequence (list, tuple, or numpy array).')
        # Checking the dims of the input
        if self.dims == 3 and self._z:
            n_args = 3
            point_setter = self._set_point_3d
        else:
            n_args = 2
            point_setter = self._set_point_2d
        if len(value) != n_args:
            raise TypeError('Dimension of value does not match.')
        self._checkindex(index)
        point_setter(index, value)

    # #### Internal Routines #### 
Example 13
Project: open-cabinet   Author: CivicTechTO   File: coordseq.py    MIT License 6 votes vote down vote up
def __setitem__(self, index, value):
        "Sets the coordinate sequence value at the given index."
        # Checking the input value
        if isinstance(value, (list, tuple)):
            pass
        elif numpy and isinstance(value, numpy.ndarray):
            pass
        else:
            raise TypeError('Must set coordinate with a sequence (list, tuple, or numpy array).')
        # Checking the dims of the input
        if self.dims == 3 and self._z:
            n_args = 3
            set_3d = True
        else:
            n_args = 2
            set_3d = False
        if len(value) != n_args:
            raise TypeError('Dimension of value does not match.')
        # Setting the X, Y, Z
        self.setX(index, value[0])
        self.setY(index, value[1])
        if set_3d:
            self.setZ(index, value[2])

    # #### Internal Routines #### 
Example 14
Project: voteswap   Author: sbuss   File: coordseq.py    MIT License 6 votes vote down vote up
def __setitem__(self, index, value):
        "Sets the coordinate sequence value at the given index."
        # Checking the input value
        if isinstance(value, (list, tuple)):
            pass
        elif numpy and isinstance(value, numpy.ndarray):
            pass
        else:
            raise TypeError('Must set coordinate with a sequence (list, tuple, or numpy array).')
        # Checking the dims of the input
        if self.dims == 3 and self._z:
            n_args = 3
            set_3d = True
        else:
            n_args = 2
            set_3d = False
        if len(value) != n_args:
            raise TypeError('Dimension of value does not match.')
        # Setting the X, Y, Z
        self.setX(index, value[0])
        self.setY(index, value[1])
        if set_3d:
            self.setZ(index, value[2])

    # #### Internal Routines #### 
Example 15
Project: liberator   Author: libscie   File: band.py    Creative Commons Zero v1.0 Universal 4 votes vote down vote up
def data(self, data=None, offset=None, size=None, shape=None, as_memoryview=False):
        """
        Reads or writes pixel values for this band. Blocks of data can
        be accessed by specifying the width, height and offset of the
        desired block. The same specification can be used to update
        parts of a raster by providing an array of values.

        Allowed input data types are bytes, memoryview, list, tuple, and array.
        """
        if not offset:
            offset = (0, 0)

        if not size:
            size = (self.width - offset[0], self.height - offset[1])

        if not shape:
            shape = size

        if any(x <= 0 for x in size):
            raise ValueError('Offset too big for this raster.')

        if size[0] > self.width or size[1] > self.height:
            raise ValueError('Size is larger than raster.')

        # Create ctypes type array generator
        ctypes_array = GDAL_TO_CTYPES[self.datatype()] * (shape[0] * shape[1])

        if data is None:
            # Set read mode
            access_flag = 0
            # Prepare empty ctypes array
            data_array = ctypes_array()
        else:
            # Set write mode
            access_flag = 1

            # Instantiate ctypes array holding the input data
            if isinstance(data, (bytes, six.memoryview)) or (numpy and isinstance(data, numpy.ndarray)):
                data_array = ctypes_array.from_buffer_copy(data)
            else:
                data_array = ctypes_array(*data)

        # Access band
        capi.band_io(self._ptr, access_flag, offset[0], offset[1],
                     size[0], size[1], byref(data_array), shape[0],
                     shape[1], self.datatype(), 0, 0)

        # Return data as numpy array if possible, otherwise as list
        if data is None:
            if as_memoryview:
                return memoryview(data_array)
            elif numpy:
                # reshape() needs a reshape parameter with the height first.
                return numpy.frombuffer(
                    data_array, dtype=numpy.dtype(data_array)
                ).reshape(tuple(reversed(size)))
            else:
                return list(data_array)
        else:
            self._flush() 
Example 16
Project: PopularityBased-SearchEngine   Author: rsunder10   File: band.py    MIT License 4 votes vote down vote up
def data(self, data=None, offset=None, size=None, as_memoryview=False):
        """
        Reads or writes pixel values for this band. Blocks of data can
        be accessed by specifying the width, height and offset of the
        desired block. The same specification can be used to update
        parts of a raster by providing an array of values.

        Allowed input data types are bytes, memoryview, list, tuple, and array.
        """
        if not offset:
            offset = (0, 0)

        if not size:
            size = (self.width - offset[0], self.height - offset[1])

        if any(x <= 0 for x in size):
            raise ValueError('Offset too big for this raster.')

        if size[0] > self.width or size[1] > self.height:
            raise ValueError('Size is larger than raster.')

        # Create ctypes type array generator
        ctypes_array = GDAL_TO_CTYPES[self.datatype()] * (size[0] * size[1])

        if data is None:
            # Set read mode
            access_flag = 0
            # Prepare empty ctypes array
            data_array = ctypes_array()
        else:
            # Set write mode
            access_flag = 1

            # Instantiate ctypes array holding the input data
            if isinstance(data, (bytes, six.memoryview)) or (numpy and isinstance(data, numpy.ndarray)):
                data_array = ctypes_array.from_buffer_copy(data)
            else:
                data_array = ctypes_array(*data)

        # Access band
        capi.band_io(self._ptr, access_flag, offset[0], offset[1],
                     size[0], size[1], byref(data_array), size[0],
                     size[1], self.datatype(), 0, 0)

        # Return data as numpy array if possible, otherwise as list
        if data is None:
            if as_memoryview:
                return memoryview(data_array)
            elif numpy:
                return numpy.frombuffer(
                    data_array, dtype=numpy.dtype(data_array)).reshape(size)
            else:
                return list(data_array)
        else:
            self.source._flush() 
Example 17
Project: Gypsy   Author: benticarlos   File: band.py    MIT License 4 votes vote down vote up
def data(self, data=None, offset=None, size=None, shape=None, as_memoryview=False):
        """
        Reads or writes pixel values for this band. Blocks of data can
        be accessed by specifying the width, height and offset of the
        desired block. The same specification can be used to update
        parts of a raster by providing an array of values.

        Allowed input data types are bytes, memoryview, list, tuple, and array.
        """
        if not offset:
            offset = (0, 0)

        if not size:
            size = (self.width - offset[0], self.height - offset[1])

        if not shape:
            shape = size

        if any(x <= 0 for x in size):
            raise ValueError('Offset too big for this raster.')

        if size[0] > self.width or size[1] > self.height:
            raise ValueError('Size is larger than raster.')

        # Create ctypes type array generator
        ctypes_array = GDAL_TO_CTYPES[self.datatype()] * (shape[0] * shape[1])

        if data is None:
            # Set read mode
            access_flag = 0
            # Prepare empty ctypes array
            data_array = ctypes_array()
        else:
            # Set write mode
            access_flag = 1

            # Instantiate ctypes array holding the input data
            if isinstance(data, (bytes, six.memoryview)) or (numpy and isinstance(data, numpy.ndarray)):
                data_array = ctypes_array.from_buffer_copy(data)
            else:
                data_array = ctypes_array(*data)

        # Access band
        capi.band_io(self._ptr, access_flag, offset[0], offset[1],
                     size[0], size[1], byref(data_array), shape[0],
                     shape[1], self.datatype(), 0, 0)

        # Return data as numpy array if possible, otherwise as list
        if data is None:
            if as_memoryview:
                return memoryview(data_array)
            elif numpy:
                # reshape() needs a reshape parameter with the height first.
                return numpy.frombuffer(
                    data_array, dtype=numpy.dtype(data_array)
                ).reshape(tuple(reversed(size)))
            else:
                return list(data_array)
        else:
            self._flush() 
Example 18
Project: openhgsenti   Author: drexly   File: band.py    Apache License 2.0 4 votes vote down vote up
def data(self, data=None, offset=None, size=None, as_memoryview=False):
        """
        Reads or writes pixel values for this band. Blocks of data can
        be accessed by specifying the width, height and offset of the
        desired block. The same specification can be used to update
        parts of a raster by providing an array of values.

        Allowed input data types are bytes, memoryview, list, tuple, and array.
        """
        if not offset:
            offset = (0, 0)

        if not size:
            size = (self.width - offset[0], self.height - offset[1])

        if any(x <= 0 for x in size):
            raise ValueError('Offset too big for this raster.')

        if size[0] > self.width or size[1] > self.height:
            raise ValueError('Size is larger than raster.')

        # Create ctypes type array generator
        ctypes_array = GDAL_TO_CTYPES[self.datatype()] * (size[0] * size[1])

        if data is None:
            # Set read mode
            access_flag = 0
            # Prepare empty ctypes array
            data_array = ctypes_array()
        else:
            # Set write mode
            access_flag = 1

            # Instantiate ctypes array holding the input data
            if isinstance(data, (bytes, six.memoryview)) or (numpy and isinstance(data, numpy.ndarray)):
                data_array = ctypes_array.from_buffer_copy(data)
            else:
                data_array = ctypes_array(*data)

        # Access band
        capi.band_io(self._ptr, access_flag, offset[0], offset[1],
                     size[0], size[1], byref(data_array), size[0],
                     size[1], self.datatype(), 0, 0)

        # Return data as numpy array if possible, otherwise as list
        if data is None:
            if as_memoryview:
                return memoryview(data_array)
            elif numpy:
                return numpy.frombuffer(
                    data_array, dtype=numpy.dtype(data_array)).reshape(size)
            else:
                return list(data_array)
        else:
            self.source._flush() 
Example 19
Project: open-cabinet   Author: CivicTechTO   File: band.py    MIT License 4 votes vote down vote up
def data(self, data=None, offset=None, size=None, as_memoryview=False):
        """
        Reads or writes pixel values for this band. Blocks of data can
        be accessed by specifying the width, height and offset of the
        desired block. The same specification can be used to update
        parts of a raster by providing an array of values.

        Allowed input data types are bytes, memoryview, list, tuple, and array.
        """
        if not offset:
            offset = (0, 0)

        if not size:
            size = (self.width - offset[0], self.height - offset[1])

        if any(x <= 0 for x in size):
            raise ValueError('Offset too big for this raster.')

        if size[0] > self.width or size[1] > self.height:
            raise ValueError('Size is larger than raster.')

        # Create ctypes type array generator
        ctypes_array = GDAL_TO_CTYPES[self.datatype()] * (size[0] * size[1])

        if data is None:
            # Set read mode
            access_flag = 0
            # Prepare empty ctypes array
            data_array = ctypes_array()
        else:
            # Set write mode
            access_flag = 1

            # Instantiate ctypes array holding the input data
            if isinstance(data, (bytes, six.memoryview)) or (numpy and isinstance(data, numpy.ndarray)):
                data_array = ctypes_array.from_buffer_copy(data)
            else:
                data_array = ctypes_array(*data)

        # Access band
        capi.band_io(self._ptr, access_flag, offset[0], offset[1],
                     size[0], size[1], byref(data_array), size[0],
                     size[1], self.datatype(), 0, 0)

        # Return data as numpy array if possible, otherwise as list
        if data is None:
            if as_memoryview:
                return memoryview(data_array)
            elif numpy:
                return numpy.frombuffer(
                    data_array, dtype=numpy.dtype(data_array)).reshape(size)
            else:
                return list(data_array)
        else:
            self.source._flush() 
Example 20
Project: voteswap   Author: sbuss   File: band.py    MIT License 4 votes vote down vote up
def data(self, data=None, offset=None, size=None, as_memoryview=False):
        """
        Reads or writes pixel values for this band. Blocks of data can
        be accessed by specifying the width, height and offset of the
        desired block. The same specification can be used to update
        parts of a raster by providing an array of values.

        Allowed input data types are bytes, memoryview, list, tuple, and array.
        """
        if not offset:
            offset = (0, 0)

        if not size:
            size = (self.width - offset[0], self.height - offset[1])

        if any(x <= 0 for x in size):
            raise ValueError('Offset too big for this raster.')

        if size[0] > self.width or size[1] > self.height:
            raise ValueError('Size is larger than raster.')

        # Create ctypes type array generator
        ctypes_array = GDAL_TO_CTYPES[self.datatype()] * (size[0] * size[1])

        if data is None:
            # Set read mode
            access_flag = 0
            # Prepare empty ctypes array
            data_array = ctypes_array()
        else:
            # Set write mode
            access_flag = 1

            # Instantiate ctypes array holding the input data
            if isinstance(data, (bytes, six.memoryview)) or (numpy and isinstance(data, numpy.ndarray)):
                data_array = ctypes_array.from_buffer_copy(data)
            else:
                data_array = ctypes_array(*data)

        # Access band
        capi.band_io(self._ptr, access_flag, offset[0], offset[1],
                     size[0], size[1], byref(data_array), size[0],
                     size[1], self.datatype(), 0, 0)

        # Return data as numpy array if possible, otherwise as list
        if data is None:
            if as_memoryview:
                return memoryview(data_array)
            elif numpy:
                return numpy.frombuffer(
                    data_array, dtype=numpy.dtype(data_array)).reshape(size)
            else:
                return list(data_array)
        else:
            self.source._flush()