From e4065e17769809176443a215a67a12c19617a470 Mon Sep 17 00:00:00 2001 From: dimitargeorgiev Date: Fri, 29 Sep 2023 14:32:17 +0100 Subject: [PATCH] made synthetic abundance scene generator method accessible in synth module --- docs/build/doctrees/environment.pickle | Bin 2415989 -> 2428056 bytes docs/build/doctrees/synth.doctree | Bin 64635 -> 73037 bytes docs/build/html/.buildinfo | 2 +- docs/build/html/_modules/ramanspy/core.html | 16 +++++++---- docs/build/html/_sources/synth.rst.txt | 7 ++++- docs/build/html/genindex.html | 4 ++- docs/build/html/loading.html | 2 +- docs/build/html/objects.inv | Bin 5104 -> 5148 bytes docs/build/html/searchindex.js | 2 +- docs/build/html/synth.html | 28 ++++++++++++++++++++ docs/source/synth.rst | 7 ++++- pyproject.toml | 2 +- src/ramanspy/synth/__init__.py | 3 ++- src/ramanspy/synth/synth.py | 6 ++--- 14 files changed, 63 insertions(+), 16 deletions(-) diff --git a/docs/build/doctrees/environment.pickle b/docs/build/doctrees/environment.pickle 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When it is not found, a full rebuild will be done. -config: b3e308d8506335cdbde9998bd9328cfb +config: ba262d26c25120d2f9b242da7d115373 tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/build/html/_modules/ramanspy/core.html b/docs/build/html/_modules/ramanspy/core.html index 0fb5bde..1685f76 100644 --- a/docs/build/html/_modules/ramanspy/core.html +++ b/docs/build/html/_modules/ramanspy/core.html @@ -8,8 +8,12 @@ ramanspy.core - RamanSPy - + + + + + @@ -205,7 +209,7 @@

  • Built-in unmixing methods
  • Integrative analysis: Support Vector Machine (SVM) classification
  • Integrative analysis: Neural Network (NN) classification
  • -
  • Generate synthetic endmembers
  • +
  • Generate synthetic spectra
  • Examples
      @@ -316,8 +320,8 @@

      Source code for ramanspy.core

               raman_object = rp.SpectralContainer(spectral_data, spectral_axis)
           """
           def __init__(self, spectral_data, spectral_axis):
      -        self.spectral_data = np.asarray(spectral_data, np.float32)
      -        self.spectral_axis = np.asarray(spectral_axis, np.float32)
      +        self.spectral_data = np.asarray(spectral_data)
      +        self.spectral_axis = np.asarray(spectral_axis)
       
               # Order data and axis by shift number values
               sorted_indices = self.spectral_axis.argsort()
      @@ -652,7 +656,9 @@ 

      Source code for ramanspy.core

             
           
         
      -
      + + + diff --git a/docs/build/html/_sources/synth.rst.txt b/docs/build/html/_sources/synth.rst.txt index 6187f45..fa543f5 100644 --- a/docs/build/html/_sources/synth.rst.txt +++ b/docs/build/html/_sources/synth.rst.txt @@ -9,11 +9,16 @@ Synthetic spectra .. autofunction:: generate_spectra +Synthetic fractional abundance scenes +===================================== +.. autofunction:: generate_abundance_scene + + Synthetic mixtures ================== .. autofunction:: mix Synthetic mixture datasets -================== +========================== .. autofunction:: generate_mixture_image diff --git a/docs/build/html/genindex.html b/docs/build/html/genindex.html index 82cbea6..b5d36e6 100644 --- a/docs/build/html/genindex.html +++ b/docs/build/html/genindex.html @@ -335,10 +335,12 @@

      F

      G

      diff --git a/docs/build/html/loading.html b/docs/build/html/loading.html index f9a1427..76a0d49 100644 --- a/docs/build/html/loading.html +++ b/docs/build/html/loading.html @@ -263,7 +263,7 @@

      Data loading

      RamanSPy can be used to easily load experimental Raman spectroscopic data from different instruments and manufacturers. This is enabled through the introduction of custom data loading functions, which can parse and load different data formats -into the appropriate Data containers.

      +into the appropriate Data containers.

      Loading methods are available within the ramanspy.load module.

      WITec Suite (WITec)

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"references"], [3, "references"], [4, "references"], [5, "references"]], "Preprocessing pipelines": [[3, "preprocessing-pipelines"], [49, "preprocessing-pipelines"]], "Pipelines": [[3, "pipelines"], [51, "pipelines"]], "Pipeline I": [[3, "pipeline-i"]], "Pipeline II": [[3, "pipeline-ii"]], "Pipeline III": [[3, "pipeline-iii"]], "AI-based denoising": [[4, "ai-based-denoising"]], "Create denoisers": [[4, "create-denoisers"]], "AI-based denoiser": [[4, "ai-based-denoiser"]], "Baseline denoisers": [[4, "baseline-denoisers"]], "Utility methods": [[4, "utility-methods"]], "Original data (MDA_MB_231 cells)": [[4, "original-data-mda-mb-231-cells"]], "Load data": [[4, "load-data"], [4, "id8"]], "Example spectrum": [[4, "example-spectrum"], [4, "id10"]], "Results on entire dataset": [[4, "results-on-entire-dataset"]], "Transfer data (THP-1 cells)": [[4, "transfer-data-thp-1-cells"]], "Results on transfer data": [[4, "results-on-transfer-data"]], "Bacteria classification": [[5, "bacteria-classification"]], "Exploratory analysis": [[5, "exploratory-analysis"]], "Benchmarking": [[5, "benchmarking"]], "Logistic regression modelling": [[5, "logistic-regression-modelling"]], "Species-level classification": [[5, "species-level-classification"]], "Antibiotic-level classification": [[5, "antibiotic-level-classification"]], "Computation times": [[6, "computation-times"], [11, "computation-times"], [19, "computation-times"], [28, "computation-times"], [33, "computation-times"], [39, "computation-times"], [41, "computation-times"]], "Storing generic data": [[7, "storing-generic-data"]], "Initialisation": [[7, "initialisation"]], "Features": [[7, "features"], [49, "features"]], "Indexing": [[7, "indexing"]], "IO": [[7, "io"]], "Storing spectra": [[8, "storing-spectra"]], "Storing imaging data": [[9, "storing-imaging-data"]], "Storing volumetric data": [[10, "storing-volumetric-data"]], "Loading the Bacteria dataset": [[17, "loading-the-bacteria-dataset"]], "Using built-in metrics": [[18, "using-built-in-metrics"]], "Visualising spectra": [[21, "visualising-spectra"]], "Separate plots": [[21, "separate-plots"], [23, "separate-plots"]], "Single plots": [[21, "single-plots"], [23, "single-plots"]], "Stacked plots": [[21, "stacked-plots"], [23, "stacked-plots"]], "Single stacked plots": [[21, "single-stacked-plots"], [23, "single-stacked-plots"]], "Visualising peaks": [[22, "visualising-peaks"]], "Visualising spectral distributions": [[23, "visualising-spectral-distributions"]], "Visualising imaging data": [[24, "visualising-imaging-data"]], "Visualising volumetric data": [[25, "visualising-volumetric-data"]], "Visualising peak distributions": [[26, "visualising-peak-distributions"]], "Customising plots": [[27, "customising-plots"]], "Default behaviour": [[27, "default-behaviour"]], "Parameter control": [[27, "parameter-control"]], "Settings control": [[27, "settings-control"]], "Changing the color palette": [[27, "changing-the-color-palette"]], "Changing other settings": [[27, "changing-other-settings"]], "Built-in methods": [[29, "built-in-methods"]], "Custom methods": [[30, "custom-methods"]], "Custom pipelines": [[31, "custom-pipelines"], [51, "custom-pipelines"]], "Built-in protocols": [[32, "built-in-protocols"]], "Built-in decomposition methods": [[34, "built-in-decomposition-methods"]], "Built-in clustering methods": [[35, "built-in-clustering-methods"]], "Built-in unmixing methods": [[36, "built-in-unmixing-methods"]], "Integrative analysis: Support Vector Machine (SVM) classification": [[37, "integrative-analysis-support-vector-machine-svm-classification"]], "Integrative analysis: Neural Network (NN) classification": [[38, "integrative-analysis-neural-network-nn-classification"]], "Datasets": [[43, "datasets"]], "Bacteria data": [[43, "bacteria-data"]], "Examples:": [[43, "examples"], [43, "id1"], [43, "id2"], [43, "id3"], [43, "id5"], [43, "id7"], [43, "id10"], [48, "examples"], [48, "id1"], [48, "id2"], [48, 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"synthetic-mixtures"]], "Synthetic mixture datasets": [[52, "synthetic-mixture-datasets"]]}, "indexentries": {"spectralcontainer (class in ramanspy)": [[42, "ramanspy.SpectralContainer"]], "spectralimage (class in ramanspy)": [[42, "ramanspy.SpectralImage"]], "spectralvolume (class in ramanspy)": [[42, "ramanspy.SpectralVolume"]], "spectrum (class in ramanspy)": [[42, "ramanspy.Spectrum"]], "band() (ramanspy.spectralcontainer method)": [[42, "ramanspy.SpectralContainer.band"]], "flat (ramanspy.spectralcontainer property)": [[42, "ramanspy.SpectralContainer.flat"]], "from_image_stack() (ramanspy.spectralvolume class method)": [[42, "ramanspy.SpectralVolume.from_image_stack"]], "from_stack() (ramanspy.spectralcontainer class method)": [[42, "ramanspy.SpectralContainer.from_stack"]], "layer() (ramanspy.spectralvolume method)": [[42, "ramanspy.SpectralVolume.layer"]], "load() (ramanspy.spectralcontainer static method)": [[42, "ramanspy.SpectralContainer.load"]], "mean 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"ramanspy.preprocessing.Pipeline.extend"]], "insert() (ramanspy.preprocessing.pipeline method)": [[51, "ramanspy.preprocessing.Pipeline.insert"]], "pop() (ramanspy.preprocessing.pipeline method)": [[51, "ramanspy.preprocessing.Pipeline.pop"]], "generate_abundance_scene() (in module ramanspy.synth)": [[52, "ramanspy.synth.generate_abundance_scene"]], "generate_mixture_image() (in module ramanspy.synth)": [[52, "ramanspy.synth.generate_mixture_image"]], "generate_spectra() (in module ramanspy.synth)": [[52, "ramanspy.synth.generate_spectra"]], "mix() (in module ramanspy.synth)": [[52, "ramanspy.synth.mix"]]}}) \ No newline at end of file diff --git a/docs/build/html/synth.html b/docs/build/html/synth.html index 0fa6ce5..840575b 100644 --- a/docs/build/html/synth.html +++ b/docs/build/html/synth.html @@ -296,6 +296,30 @@

      Synthetic spectra +

      Synthetic fractional abundance scenes

      +
      +
      +ramanspy.synth.generate_abundance_scene(size, num_endmembers, scene_type, *, seed=None)[source]
      +
      +
      Parameters:
      +
        +
      • size (int) – The size of the abundance scene. Assumes a square scene (i.e. size x size).

      • +
      • num_endmembers (int) – The number of endmembers to use.

      • +
      • scene_type ({'chessboard', 'gaussian', 'dirichlet'}) – The type of scene to generate.

      • +
      • seed (int, optional) – The seed to use for the random number generator.

      • +
      +
      +
      Returns:
      +

      image – The generated abundance image.

      +
      +
      Return type:
      +

      array_like, shape (size, size, num_endmembers)

      +
      +
      +
      +

      Synthetic mixtures

      @@ -436,6 +460,10 @@

      Synthetic mixture datasetsgenerate_spectra() +
    • Synthetic fractional abundance scenes +
    • Synthetic mixtures diff --git a/docs/source/synth.rst b/docs/source/synth.rst index 6187f45..fa543f5 100644 --- a/docs/source/synth.rst +++ b/docs/source/synth.rst @@ -9,11 +9,16 @@ Synthetic spectra .. autofunction:: generate_spectra +Synthetic fractional abundance scenes +===================================== +.. autofunction:: generate_abundance_scene + + Synthetic mixtures ================== .. autofunction:: mix Synthetic mixture datasets -================== +========================== .. autofunction:: generate_mixture_image diff --git a/pyproject.toml b/pyproject.toml index 876da40..beb8b40 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,7 +6,7 @@ build-backend = "setuptools.build_meta" [project] name = "ramanspy" -version = "0.2.3" +version = "0.2.4" description = "RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis" readme = "README.md" authors = [{ name = "Dimitar Georgiev", email = "d.georgiev21@imperial.ac.uk" }] diff --git a/src/ramanspy/synth/__init__.py b/src/ramanspy/synth/__init__.py index 6339557..3e4a3e7 100644 --- a/src/ramanspy/synth/__init__.py +++ b/src/ramanspy/synth/__init__.py @@ -1,7 +1,8 @@ -from .synth import generate_spectra, mix, generate_mixture_image +from .synth import generate_spectra, mix, generate_abundance_scene, generate_mixture_image __all__ = [ "generate_spectra", "mix", + "generate_abundance_scene", "generate_mixture_image", ] diff --git a/src/ramanspy/synth/synth.py b/src/ramanspy/synth/synth.py index 7b92f4c..1b6500d 100644 --- a/src/ramanspy/synth/synth.py +++ b/src/ramanspy/synth/synth.py @@ -197,12 +197,12 @@ def mix( return mixtures -def _generate_abundance_image(size, num_endmembers, scene_type, *, seed=None): +def generate_abundance_scene(size, num_endmembers, scene_type, *, seed=None): """ Parameters ---------- size : int - The size of the abundance image. Assumes a square image. + The size of the abundance scene. Assumes a square scene (i.e. size x size). num_endmembers : int The number of endmembers to use. scene_type : {'chessboard', 'gaussian', 'dirichlet'} @@ -326,7 +326,7 @@ def generate_mixture_image( """ endmebers = generate_spectra(num_endmembers, num_spectral_bands, realistic=realistic_endmembers, seed=seed) - abundance_image = _generate_abundance_image(image_size, num_endmembers, image_type, seed=seed) + abundance_image = generate_abundance_scene(image_size, num_endmembers, image_type, seed=seed) mixture = mix(endmebers, abundance_image, mixture_mode=mixture_mode, noise=noise, noise_amplitude=noise_amplitude, baseline=baseline, baseline_amplitude=baseline_amplitude, baseline_probability=baseline_probability,