.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "_gallery/selection_tools/linear_region_selectors_match_offsets.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr__gallery_selection_tools_linear_region_selectors_match_offsets.py: LinearRegionSelectors match offsets =================================== Identical to linear region selector but with offsets for testing purposes .. GENERATED FROM PYTHON SOURCE LINES 7-109 .. code-block:: Python # test_example = true import fastplotlib as fpl import numpy as np # names for out subplots names = [ ["y = sine(x)", "x = sine(y), sine(y) > 0 = 0"], ["zoomed sine(x)", "zoomed sine(y)"] ] # 2 rows, 2 columns figure = fpl.Figure( (2, 2), size=(700, 560), names=names, ) # preallocated size for zoomed data zoomed_prealloc = 1_000 # data to plot xs = np.linspace(0, 10 * np.pi, 1_000) ys = np.sin(xs) # y = sine(x) # make sine along x axis sine_graphic_x = figure[0, 0].add_line(np.column_stack([xs, ys]), offset=(10, 10, 0)) # x = sine(y), sine(y) > 0 = 0 sine_y = ys sine_y[sine_y > 0] = 0 # sine along y axis sine_graphic_y = figure[0, 1].add_line(np.column_stack([ys, xs]), offset=(10, 10, 0)) # offset the position of the graphic to demonstrate `get_selected_data()` later sine_graphic_y.position_x = 50 sine_graphic_y.position_y = 50 # add linear selectors selector_x = sine_graphic_x.add_linear_region_selector() # default axis is "x" selector_y = sine_graphic_y.add_linear_region_selector(axis="y") # preallocate array for storing zoomed in data zoomed_init = np.column_stack([np.arange(zoomed_prealloc), np.zeros(zoomed_prealloc)]) # make line graphics for displaying zoomed data zoomed_x = figure[1, 0].add_line(zoomed_init) zoomed_y = figure[1, 1].add_line(zoomed_init) def interpolate(subdata: np.ndarray, axis: int): """1D interpolation to display within the preallocated data array""" x = np.arange(0, zoomed_prealloc) xp = np.linspace(0, zoomed_prealloc, subdata.shape[0]) # interpolate to preallocated size return np.interp(x, xp, fp=subdata[:, axis]) # use the y-values @selector_x.add_event_handler("selection") def set_zoom_x(ev): """sets zoomed x selector data""" # get the selected data selected_data = ev.get_selected_data() if selected_data.size == 0: # no data selected zoomed_x.data[:, 1] = 0 # interpolate the y-values since y = f(x) zoomed_x.data[:, 1] = interpolate(selected_data, axis=1) figure[1, 0].auto_scale() def set_zoom_y(ev): """sets zoomed x selector data""" # get the selected data selected_data = ev.get_selected_data() if selected_data.size == 0: # no data selected zoomed_y.data[:, 1] = 0 # interpolate the x values since this x = f(y) zoomed_y.data[:, 1] = -interpolate(selected_data, axis=0) figure[1, 1].auto_scale() # you can also add event handlers without a decorator selector_y.add_event_handler(set_zoom_y, "selection") # set initial selection selector_x.selection = selector_y.selection = (0, 4 * np.pi) figure.show(maintain_aspect=False) # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively # please see our docs for using fastplotlib interactively in ipython and jupyter if __name__ == "__main__": print(__doc__) fpl.run() .. _sphx_glr_download__gallery_selection_tools_linear_region_selectors_match_offsets.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: linear_region_selectors_match_offsets.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: linear_region_selectors_match_offsets.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: linear_region_selectors_match_offsets.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_