From 550b99a7fe21dcb28476e1680b70fb0a2fcf30f2 Mon Sep 17 00:00:00 2001 From: MARCHAND MANON Date: Mon, 14 Oct 2024 18:03:30 +0200 Subject: [PATCH] feat: add skymaps plots, and skymaps from array instantiation --- .pre-commit-config.yaml | 1 - CHANGELOG.md | 3 +- docs/api.rst | 10 ++ docs/conf.py | 2 + docs/examples/examples.rst | 14 ++- docs/examples/skymaps/skymap.fits | Bin 0 -> 204481 bytes docs/examples/skymaps/skymaps.py | 7 ++ docs/examples/skymaps/ztf.fits | Bin 6298560 -> 0 bytes python/cdshealpix/skymap/skymap.py | 106 ++++++++++++++++++++- python/cdshealpix/tests/test_skymaps.py | 23 +++++ src/lib.rs | 4 + src/skymap_functions.rs | 118 ++++++++++++++++++------ 12 files changed, 255 insertions(+), 33 deletions(-) create mode 100644 docs/examples/skymaps/skymap.fits create mode 100644 docs/examples/skymaps/skymaps.py delete mode 100644 docs/examples/skymaps/ztf.fits diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 8368a56..6428619 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -13,7 +13,6 @@ repos: rev: 'v1.10.0' hooks: - id: python-no-eval - - id: rst-backticks # For python files - repo: https://github.com/psf/black # Code style diff --git a/CHANGELOG.md b/CHANGELOG.md index 69a12f7..367a5db 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -8,7 +8,8 @@ * `cdshaelpix.nested.vertices` can now take depth as a `numpy.ndarray` instead of only accepting a single depth * new module `skymap` added. -* read nested all-sky skymaps in the implicit scheme from fits files with `Skymap.from_fits` +* read/write, and plot nested all-sky skymaps in the implicit scheme from fits files with + `Skymap.from_fits`, `Skymap.from_array`, `Skymap.quick_plot`, and `Skymap.to_fits` ### Fixed diff --git a/docs/api.rst b/docs/api.rst index b899e5f..12f01ed 100644 --- a/docs/api.rst +++ b/docs/api.rst @@ -87,4 +87,14 @@ While in the nested scheme, ``nside`` is a power of two vertices vertices_skycoord +cdshealpix.skymap +~~~~~~~~~~~~~~~~~ + +This module provides a minimal interface to interact with Skymaps, as defined in the +`data format for gamma ray astronomy specification +`_. + +.. autoclass:: cdshealpix.skymap.Skymap + :members: + .. _cdshealpix: https://github.com/cds-astro/cds-healpix-python diff --git a/docs/conf.py b/docs/conf.py index 1959d34..305afd9 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -65,6 +65,8 @@ ] default_role = "py:obj" numpydoc_class_members_toctree = False +numpydoc_show_class_members = False +autosummary_generate = False # Add any paths that contain templates here, relative to this directory. templates_path = ["_templates"] bibtex_bibfiles = ["references.bib"] diff --git a/docs/examples/examples.rst b/docs/examples/examples.rst index c26a06f..b45e8f3 100644 --- a/docs/examples/examples.rst +++ b/docs/examples/examples.rst @@ -42,11 +42,23 @@ Zone search ----------- In this example, we get the ``ipix`` and ``depth`` in a zone and plot them by combining -:external:ref:`~cdshealpix.nested.vertices`_ with :external:ref:`~matplotlib.path.Polygon`_ +`cdshealpix.nested.vertices` with `matplotlib.path.Polygon` .. plot:: examples/search_methods/zone_search.py :include-source: +Skymaps +======= + +The skymap sub-module allows to manipulate easily all-sky skymaps in the nested ordering +and implicit schema. +The class can be instantiated either from a fits file, with `Skymap.from_fits`, or +directly with a numpy `numpy.array` containing the values associated to each HEALPix +pixel. + +.. plot:: examples/skymaps/skymaps.py + :include-source: + Notebook examples ================= diff --git a/docs/examples/skymaps/skymap.fits b/docs/examples/skymaps/skymap.fits new file mode 100644 index 0000000000000000000000000000000000000000..db19a0f036653d27ee19393bce0f58c988e3ef23 GIT binary patch literal 204481 zcmeF)Wsn@l_VDSpHO)OdqnQyiGc%(tvLstF%goHo%*?jT%(BePw#>|U&CKk5PL1}{ zd*A)Xd+)}6*svmgak4VAP9Cc4>gw*%f|;}D&6?Vw!`Kf0=HJ49)Av7gO`5rI-ps}S 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Its dtype is inferred from the fits header. + `Skymap` + A skymap. Its values are in a numpy array which data type in inferred from + the FITS header. """ return cls(cdshealpix.read_skymap(str(path))) + @classmethod + def from_array(cls, values): + """Create a skymap from an array. + + Parameters + ---------- + values : `numpy.array` + An array-like object. It should be one-dimensional, and its length should be + the number of cells in a HEALPix order. + It should be in the nested ordering (not tested). + + Returns + ------- + `Skymap` + A skymap object. + + Examples + -------- + >>> from cdshealpix.skymap import Skymap + >>> import numpy as np + >>> skymap =Skymap.from_array(np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], dtype=np.uint8)) + """ + # only makes a copy if it was not C-contiguous in the first place + values = np.ascontiguousarray(values) + if values.ndim != 1: + raise ValueError( + "Skymap values should be one-dimensional. Got an array of " + f"shape {values.shape}." + ) + n = int(len(values) / 12) + # test if it is a power of two (1000 & 0111 = 0000) + if n & (n - 1) != 0 or n == 0: + raise ValueError( + "The length of values should be a valid number of cells in " + "a given HEALPix order, i.e something like 12, 48, 192... " + f"Got '{len(values)}'." + ) + + if values.dtype not in ( + np.float64, + np.float32, + np.int64, + np.int32, + np.int16, + np.uint8, + float, + int, + ): + raise ValueError( + f"The accepted types are f64, f32, i64, i32, u8. Got '{values.dtype}'." + ) + return cls(values) + def to_fits(self, path): """Write a Skymap in a fits file. Parameters ---------- - path : str, pathlib.Path + path : `str`, `pathlib.Path` The file's path. """ cdshealpix.write_skymap(self.values, str(path)) + + def quick_plot(self, *, size=256, convert_to_gal=True, path=None): + """Preview a skymap in the Mollweide projection. + + Parameters + ---------- + size : `int`, optional + The size of the plot in the y-axis in pixels. + It fixes the resolution of the image. By default 256 + convert_to_gal : `bool`, optional + Should the image be converted into a galactic frame? by default True + path : `str` or `pathlib.Path`, optional + If different from none, the image will not only be displayed, but also saved + at the given location. By default None + """ + img = cdshealpix.pixels_skymap(self.values, size, convert_to_gal) + fig = plt.imshow(img) + plt.axis("off") + fig.axes.get_xaxis().set_visible(False) + fig.axes.get_yaxis().set_visible(False) + if path: + plt.savefig(path, bbox_inches="tight", pad_inches=0, transparent=True) + plt.show() diff --git a/python/cdshealpix/tests/test_skymaps.py b/python/cdshealpix/tests/test_skymaps.py index 9d8114f..b24844d 100644 --- a/python/cdshealpix/tests/test_skymaps.py +++ b/python/cdshealpix/tests/test_skymaps.py @@ -2,8 +2,10 @@ from tempfile import NamedTemporaryFile import numpy as np +import pytest from ..skymap import Skymap +from .. import cdshealpix path_to_test_skymap = Path(__file__).parent.resolve() / "resources" / "skymap.fits" @@ -20,3 +22,24 @@ def test_read_write_read_conservation(): skymap.to_fits(fp.name) skymap2 = Skymap.from_fits(fp.name) assert all(skymap.values == skymap2.values) + + +def test_plot(): + skymap = Skymap.from_array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]) + img = cdshealpix.pixels_skymap(skymap.values, 256, True) + assert img.shape == (256, 512, 4) + + +def test_depth(): + n = 12 + skymap = Skymap.from_array(np.zeros(12 * 4**n)) + assert skymap.depth == n + + +def test_from_array(): + with pytest.raises(ValueError, match="The length of values should be*"): + Skymap.from_array(np.zeros(3)) + with pytest.raises(ValueError, match="The accepted types are*"): + Skymap.from_array(["a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l"]) + with pytest.raises(ValueError, match="Skymap values should be one-dimensional*"): + Skymap.from_array([[1, 2, 3], [1, 2, 3]]) diff --git a/src/lib.rs b/src/lib.rs index 5c42042..8d27664 100644 --- a/src/lib.rs +++ b/src/lib.rs @@ -34,6 +34,10 @@ fn cdshealpix(_py: Python, m: &Bound<'_, PyModule>) -> PyResult<()> { .unwrap(); m.add_function(wrap_pyfunction!(skymap_functions::write_skymap, m)?) .unwrap(); + m.add_function(wrap_pyfunction!(skymap_functions::pixels_skymap, m)?) + .unwrap(); + m.add_function(wrap_pyfunction!(skymap_functions::depth_skymap, m)?) + .unwrap(); // wrapper of to_ring and from_ring #[pyfn(m)] diff --git a/src/skymap_functions.rs b/src/skymap_functions.rs index 85e5cf2..560c759 100644 --- a/src/skymap_functions.rs +++ b/src/skymap_functions.rs @@ -16,14 +16,10 @@ use healpix::{ depth_from_n_hash_unsafe, nested::map::{ fits::write::write_implicit_skymap_fits, - img::{to_skymap_img_default, Val}, + img::{to_skymap_img_default, PosConversion, Val}, skymap::{ImplicitSkyMapArrayRef, SkyMap, SkyMapEnum}, - HHash, }, }; -use mapproj::pseudocyl::mol::Mol; - -use crate::cdshealpix; #[pyfunction] #[pyo3(pass_module)] @@ -121,6 +117,7 @@ pub fn pixels_skymap<'py>( module: &Bound<'py, PyModule>, values: SupportedArray<'py>, image_size: u16, + convert_to_gal: bool, ) -> PyResult>> { let n_hash: u64 = match &values { SupportedArray::F64(values) => values.as_array().shape()[0] as u64, @@ -135,42 +132,109 @@ pub fn pixels_skymap<'py>( match values { SupportedArray::F64(values) => values.as_slice().map_err(|e| e.into()).and_then(|v| { skymap_ref_to_img( - &ImplicitSkyMapArrayRef::<'_,u64,f64>::new(depth, v), + &ImplicitSkyMapArrayRef::<'_, u64, f64>::new(depth, v), + image_size, + convert_to_gal, + module.py(), + ) + }), + SupportedArray::I64(values) => values.as_slice().map_err(|e| e.into()).and_then(|v| { + skymap_ref_to_img( + &ImplicitSkyMapArrayRef::<'_, u64, i64>::new(depth, v), + image_size, + convert_to_gal, + module.py(), + ) + }), + SupportedArray::F32(values) => values.as_slice().map_err(|e| e.into()).and_then(|v| { + skymap_ref_to_img( + &ImplicitSkyMapArrayRef::<'_, u64, f32>::new(depth, v), + image_size, + convert_to_gal, + module.py(), + ) + }), + SupportedArray::I32(values) => values.as_slice().map_err(|e| e.into()).and_then(|v| { + skymap_ref_to_img( + &ImplicitSkyMapArrayRef::<'_, u64, i32>::new(depth, v), + image_size, + convert_to_gal, + module.py(), + ) + }), + SupportedArray::I16(values) => values.as_slice().map_err(|e| e.into()).and_then(|v| { + skymap_ref_to_img( + &ImplicitSkyMapArrayRef::<'_, u64, i16>::new(depth, v), + image_size, + convert_to_gal, + module.py(), + ) + }), + SupportedArray::U8(values) => values.as_slice().map_err(|e| e.into()).and_then(|v| { + skymap_ref_to_img( + &ImplicitSkyMapArrayRef::<'_, u64, u8>::new(depth, v), image_size, + convert_to_gal, module.py(), ) }), - /*SupportedArray::I64(values) => ImplicitSkyMapArrayRef::new(depth, values.as_array()), - SupportedArray::F32(values) => ImplicitSkyMapArrayRef::new(depth, values.as_slice()), - SupportedArray::I32(values) => ImplicitSkyMapArrayRef::new(depth, values.as_slice()), - SupportedArray::I16(values) => ImplicitSkyMapArrayRef::new(depth, values.as_slice()), - SupportedArray::U8(values) => ImplicitSkyMapArrayRef::new(depth, values.as_slice()),*/ - _ => todo!(), } } fn skymap_ref_to_img<'py, 'a, S>( skymap: &'a S, image_size: u16, + convert_to_gal: bool, py: Python<'py>, ) -> PyResult>> where S: SkyMap<'a> + 'a, S::ValueType: Val, { - let vec = to_skymap_img_default( - skymap, - (image_size << 1, image_size), - None, - None, - None, - None, - None, - ) - .map_err(|e| PyValueError::new_err(e.to_string()))?; - PyArray1::from_slice_bound(py, vec.as_slice()).reshape(Ix3( - image_size as usize, - (image_size << 1) as usize, - 4_usize, - )) + if convert_to_gal { + let vec = to_skymap_img_default( + skymap, + (image_size << 1, image_size), + None, + None, + Some(PosConversion::EqMap2GalImg), + None, + None, + ) + .map_err(|e| PyValueError::new_err(e.to_string()))?; + PyArray1::from_slice_bound(py, vec.as_slice()).reshape(Ix3( + image_size as usize, + (image_size << 1) as usize, + 4_usize, + )) + } else { + let vec = to_skymap_img_default( + skymap, + (image_size << 1, image_size), + None, + None, + None, + None, + None, + ) + .map_err(|e| PyValueError::new_err(e.to_string()))?; + PyArray1::from_slice_bound(py, vec.as_slice()).reshape(Ix3( + image_size as usize, + (image_size << 1) as usize, + 4_usize, + )) + } +} + +#[pyfunction] +pub fn depth_skymap(values: SupportedArray) -> u8 { + let n_hash: u64 = match &values { + SupportedArray::F64(values) => values.as_array().shape()[0] as u64, + SupportedArray::I64(values) => values.as_array().shape()[0] as u64, + SupportedArray::F32(values) => values.as_array().shape()[0] as u64, + SupportedArray::I32(values) => values.as_array().shape()[0] as u64, + SupportedArray::I16(values) => values.as_array().shape()[0] as u64, + SupportedArray::U8(values) => values.as_array().shape()[0] as u64, + }; + depth_from_n_hash_unsafe(n_hash) }