rasterio.dtypes module

Mapping of GDAL to Numpy data types.

rasterio.dtypes.can_cast_dtype(values, dtype)

Test if values can be cast to dtype without loss of information.

Parameters:

  • values (list-like) –

  • dtype (numpy.dtype or string) –

Returns:

True if values can be cast to data type.

Return type:

boolean

rasterio.dtypes.check_dtype(dt)

Check if dtype is a known dtype.

rasterio.dtypes.get_minimum_dtype(values)

Determine minimum type to represent values.

Uses range checking to determine the minimum integer or floating point data type required to represent values.

Parameters:

values (list-like) –

Return type:

rasterio dtype string

rasterio.dtypes.in_dtype_range(value, dtype)

Test if the value is within the dtype’s range of values, Nan, or Inf.

rasterio.dtypes.is_ndarray(array)

Check if array is a ndarray.

rasterio.dtypes.validate_dtype(values, valid_dtypes)

Test if dtype of values is one of valid_dtypes.

Parameters:

  • values (list-like) –

  • valid_dtypes (list-like) – list of valid dtype strings, e.g., (‘int16’, ‘int32’)

Returns:

True if dtype of values is one of valid_dtypes

Return type:

boolean