honeybee_radiance_postprocess.data_type module¶
Functions for NumPy data type (dtype).
- honeybee_radiance_postprocess.data_type.set_smallest_dtype(array: ndarray, rtol: float = 1e-05, atol: float = 1e-05) ndarray[source]¶
Return a NumPy array with the smallest possible dtype.
- Parameters:
array – NumPy array.
rtol – The relative tolerance parameter for np.allclose. The default is 1e-5. This is also used if the dtype of the array is np.floating.
atol – The absolute tolerance parameter for np.allclose. The default is 1e-5. This is also used if the dtype of the array is np.floating.
- Returns:
A new NumPy array with a smaller dtype.
- honeybee_radiance_postprocess.data_type.smallest_dtype(array: ndarray, rtol: float = 1e-05, atol: float = 1e-05) Tuple[signedinteger, floating][source]¶
Return the smallest possible dtype.
- Parameters:
array – NumPy array.
rtol – The relative tolerance parameter for np.allclose. The default is 1e-5. This is also used if the dtype of the array is np.floating.
atol – The absolute tolerance parameter for np.allclose. The default is 1e-5. This is also used if the dtype of the array is np.floating.
- Returns:
A NumPy dtype.
- honeybee_radiance_postprocess.data_type.smallest_float_dtype(array: ndarray, rtol: float = 1e-05, atol: float = 1e-05) floating[source]¶
Return the smallest possible float dtype.
The allclose function is used to check if a certain floating-point precision can be used without losing accuracy.
- Parameters:
array – NumPy array.
rtol – The relative tolerance parameter for np.allclose. The default is 1e-5.
atol – The absolute tolerance parameter for np.allclose. The default is 1e-5.
- Returns:
A NumPy floating dtype.