diff --git a/reference/recording.html b/reference/recording.html index 5ee3c23..50d08a5 100644 --- a/reference/recording.html +++ b/reference/recording.html @@ -566,7 +566,7 @@

NeonRecording class
-plot_distribution(heatmap_source: Literal['gaze', 'fixations', None] = 'gaze', scatter_source: Literal['gaze', 'fixations', None] = 'fixations', step_size: int = 10, sigma: float | None = 2, width_height: tuple[int, int] = (1600, 1200), cmap: str | None = 'inferno', ax: Axes | None = None, show: bool = True)#
+plot_distribution(heatmap_source: Literal['gaze', 'fixations', None] = 'gaze', scatter_source: Literal['gaze', 'fixations', None] = 'fixations', step_size: int = 10, sigma: int | float = 2, width_height: tuple[int, int] = (1600, 1200), cmap: str = 'inferno', ax: Axes | None = None, show: bool = True) → tuple[Figure, Axes]#

Plot a heatmap of gaze or fixation data on a matplotlib axis. Users can flexibly choose to generate a smoothed heatmap and/or scatter plot and the source of the data (gaze or fixation).

@@ -580,20 +580,20 @@

NeonRecording classint) – Size of the grid cells in pixels. Defaults to 10.

-

  • sigma (float or None) – Standard deviation of the Gaussian kernel used to smooth the heatmap. +

  • sigma (int or float) – Standard deviation of the Gaussian kernel used to smooth the heatmap. If None or 0, no smoothing is applied. Defaults to 2.

  • width_height (tuple[int, int]) – If video is not available, the width and height of the scene camera frames to specify the heatmap dimensions. Defaults to (1600, 1200).

    • -

  • cmap (str or None) – Colormap to use for the heatmap. Defaults to ‘inferno’.

    • -

  • ax (matplotlib.pyplot.Axes or None) – Axis to plot the frame on. If None, a new figure is created. +

  • cmap (str) – Colormap to use for the heatmap. Defaults to ‘inferno’.

    • +

  • ax (matplotlib.axes.Axes or None) – Axis to plot the frame on. If None, a new figure is created. Defaults to None.

  • show (bool) – Show the figure if True. Defaults to True.

    • Returns:

    diff --git a/reference/vis.html b/reference/vis.html index 697127c..efd71de 100644 --- a/reference/vis.html +++ b/reference/vis.html @@ -382,7 +382,7 @@
    -pyneon.vis.plot_distribution(rec: NeonRecording, heatmap_source: Literal['gaze', 'fixations', None] = 'gaze', scatter_source: Literal['gaze', 'fixations', None] = 'fixations', step_size: int = 10, sigma: Number | None = 2, width_height: tuple[int, int] = (1600, 1200), cmap: str | None = 'inferno', ax: Axes | None = None, show: bool = True)#
    +pyneon.vis.plot_distribution(rec: NeonRecording, heatmap_source: Literal['gaze', 'fixations', None] = 'gaze', scatter_source: Literal['gaze', 'fixations', None] = 'fixations', step_size: int = 10, sigma: int | float = 2, width_height: tuple[int, int] = (1600, 1200), cmap: str = 'inferno', ax: Axes | None = None, show: bool = True) → tuple[Figure, Axes]#

    Plot a heatmap of gaze or fixation data on a matplotlib axis. Users can flexibly choose to generate a smoothed heatmap and/or scatter plot and the source of the data (gaze or fixation).

    @@ -396,20 +396,20 @@ Defaults to ‘fixations’. Gaze data is typically more dense and thus less suitable for scatter plots.

  • step_size (int) – Size of the grid cells in pixels. Defaults to 10.

    • -

  • sigma (float or None) – Standard deviation of the Gaussian kernel used to smooth the heatmap. +

  • sigma (int or float) – Standard deviation of the Gaussian kernel used to smooth the heatmap. If None or 0, no smoothing is applied. Defaults to 2.

  • width_height (tuple[int, int]) – If video is not available, the width and height of the scene camera frames to specify the heatmap dimensions. Defaults to (1600, 1200).

    • -

  • cmap (str or None) – Colormap to use for the heatmap. Defaults to ‘inferno’.

    • -

  • ax (matplotlib.pyplot.Axes or None) – Axis to plot the frame on. If None, a new figure is created. +

  • cmap (str) – Colormap to use for the heatmap. Defaults to ‘inferno’.

    • +

  • ax (matplotlib.axes.Axes or None) – Axis to plot the frame on. If None, a new figure is created. Defaults to None.

  • show (bool) – Show the figure if True. Defaults to True.

    • Returns:

      -

    • fig (matplotlib.pyplot.Figure) – Figure object containing the plot.

      • -

    • ax (matplotlib.pyplot.Axes) – Axis object containing the plot.

      • +

    • fig (matplotlib.figure.Figure) – Figure object containing the plot.

      • +

    • ax (matplotlib.axes.Axes) – Axis object containing the plot.

    diff --git a/searchindex.js b/searchindex.js index 784140d..d2efd10 100644 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"1. Setup: Loading a Neon Recording": [[15, "1.-Setup:-Loading-a-Neon-Recording"]], "2. Mapping Gaze Data to Video Frames": [[15, "2.-Mapping-Gaze-Data-to-Video-Frames"]], "3. Estimating the Scanpath": [[15, "3.-Estimating-the-Scanpath"]], "4. Understanding Fixation Status": [[15, "4.-Understanding-Fixation-Status"]], "5. Overlaying Fixations on the Video": [[15, "5.-Overlaying-Fixations-on-the-Video"]], "An example plot of cropped data": [[14, "An-example-plot-of-cropped-data"]], "Concatenating different streams": [[13, "Concatenating-different-streams"]], "Conclusion": [[10, "Conclusion"]], "Data and metadata of a NeonRecording": [[14, "Data-and-metadata-of-a-NeonRecording"]], "Data as DataFrames": [[14, "Data-as-DataFrames"]], "Data format": [[0, "data-format"]], "Data stream classes (gaze, eye states, IMU)": [[7, null]], "Event classes (blinks, fixations, saccades, events)": [[2, null]], "Export Neon data recording to BIDS formats": [[11, null]], "Exportation module": [[3, null]], "Installation": [[0, "installation"]], "Interpolate data and concatenate streams": [[13, null]], "Interpolating data streams": [[13, "Interpolating-data-streams"]], "Irregular sampling in data streams": [[13, "Irregular-sampling-in-data-streams"]], "License": [[0, "license"]], "NeonDataset class": [[1, null]], "NeonRecording class": [[6, null]], "Parameters:": [[6, "parameters"]], "Preprocessing module": [[5, null]], "PyNeon API": [[4, null]], "PyNeon Tutorials": [[12, null]], "Reading a Neon dataset/recording": [[14, null]], "Reading sample data": [[14, "Reading-sample-data"]], "Scene video and scanpath mapping": [[15, null]], "Scene video class": [[8, null]], "Step 1: Loading Sample Data": [[10, "Step-1:-Loading-Sample-Data"]], "Step 2: Constructing Event Times": [[10, "Step-2:-Constructing-Event-Times"]], "Step 3: Verifying Event Intervals": [[10, "Step-3:-Verifying-Event-Intervals"]], "Step 4: Creating Epochs from the Data": [[10, "Step-4:-Creating-Epochs-from-the-Data"]], "Step 5: Initializing the Epoch Class": [[10, "Step-5:-Initializing-the-Epoch-Class"]], "Step 6: Converting Epochs to NumPy Array": [[10, "Step-6:-Converting-Epochs-to-NumPy-Array"]], "Step 7: Averaging Across Epochs": [[10, "Step-7:-Averaging-Across-Epochs"]], "Step 8: Averaging Over Time": [[10, "Step-8:-Averaging-Over-Time"]], "Summary": [[15, "Summary"]], "Tutorial: Processing Eye-Tracking Data with PyNeon": [[10, null]], "Useful attributes and methods for NeonStream and NeonEV": [[14, "Useful-attributes-and-methods-for-NeonStream-and-NeonEV"]], "Visualization module": [[9, null]], "Visualizing gaze heatmap": [[14, "Visualizing-gaze-heatmap"]], "Welcome to PyNeon documentation": [[0, null]]}, "docnames": ["index", "reference/dataset", "reference/events", "reference/export", "reference/index", "reference/preprocess", "reference/recording", "reference/stream", "reference/video", "reference/vis", "tutorials/epoching", "tutorials/export_to_bids", "tutorials/index", "tutorials/interpolate_and_concat", "tutorials/read_recording", "tutorials/video"], "envversion": {"nbsphinx": 4, "sphinx": 64, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 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Setup: Loading a Neon Recording": [[15, "1.-Setup:-Loading-a-Neon-Recording"]], "2. Mapping Gaze Data to Video Frames": [[15, "2.-Mapping-Gaze-Data-to-Video-Frames"]], "3. Estimating the Scanpath": [[15, "3.-Estimating-the-Scanpath"]], "4. Understanding Fixation Status": [[15, "4.-Understanding-Fixation-Status"]], "5. 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