Python matplotlib.collections.EllipseCollection() Examples
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code examples of matplotlib.collections.EllipseCollection().
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Example #1
Source File: test_collections.py From neural-network-animation with MIT License | 6 votes |
def test_EllipseCollection(): # Test basic functionality fig, ax = plt.subplots() x = np.arange(4) y = np.arange(3) X, Y = np.meshgrid(x, y) XY = np.vstack((X.ravel(), Y.ravel())).T ww = X/float(x[-1]) hh = Y/float(y[-1]) aa = np.ones_like(ww) * 20 # first axis is 20 degrees CCW from x axis ec = mcollections.EllipseCollection(ww, hh, aa, units='x', offsets=XY, transOffset=ax.transData, facecolors='none') ax.add_collection(ec) ax.autoscale_view()
Example #2
Source File: test_collections.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 6 votes |
def test_EllipseCollection(): # Test basic functionality fig, ax = plt.subplots() x = np.arange(4) y = np.arange(3) X, Y = np.meshgrid(x, y) XY = np.vstack((X.ravel(), Y.ravel())).T ww = X / x[-1] hh = Y / y[-1] aa = np.ones_like(ww) * 20 # first axis is 20 degrees CCW from x axis ec = mcollections.EllipseCollection(ww, hh, aa, units='x', offsets=XY, transOffset=ax.transData, facecolors='none') ax.add_collection(ec) ax.autoscale_view()
Example #3
Source File: test_collections.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 6 votes |
def test_size_in_xy(): fig, ax = plt.subplots() widths, heights, angles = (10, 10), 10, 0 widths = 10, 10 coords = [(10, 10), (15, 15)] e = mcollections.EllipseCollection( widths, heights, angles, units='xy', offsets=coords, transOffset=ax.transData) ax.add_collection(e) ax.set_xlim(0, 30) ax.set_ylim(0, 30)
Example #4
Source File: test_collections.py From ImageFusion with MIT License | 6 votes |
def test_EllipseCollection(): # Test basic functionality fig, ax = plt.subplots() x = np.arange(4) y = np.arange(3) X, Y = np.meshgrid(x, y) XY = np.vstack((X.ravel(), Y.ravel())).T ww = X/float(x[-1]) hh = Y/float(y[-1]) aa = np.ones_like(ww) * 20 # first axis is 20 degrees CCW from x axis ec = mcollections.EllipseCollection(ww, hh, aa, units='x', offsets=XY, transOffset=ax.transData, facecolors='none') ax.add_collection(ec) ax.autoscale_view()
Example #5
Source File: test_collections.py From coffeegrindsize with MIT License | 6 votes |
def test_EllipseCollection(): # Test basic functionality fig, ax = plt.subplots() x = np.arange(4) y = np.arange(3) X, Y = np.meshgrid(x, y) XY = np.vstack((X.ravel(), Y.ravel())).T ww = X / x[-1] hh = Y / y[-1] aa = np.ones_like(ww) * 20 # first axis is 20 degrees CCW from x axis ec = mcollections.EllipseCollection(ww, hh, aa, units='x', offsets=XY, transOffset=ax.transData, facecolors='none') ax.add_collection(ec) ax.autoscale_view()
Example #6
Source File: test_collections.py From coffeegrindsize with MIT License | 6 votes |
def test_size_in_xy(): fig, ax = plt.subplots() widths, heights, angles = (10, 10), 10, 0 widths = 10, 10 coords = [(10, 10), (15, 15)] e = mcollections.EllipseCollection( widths, heights, angles, units='xy', offsets=coords, transOffset=ax.transData) ax.add_collection(e) ax.set_xlim(0, 30) ax.set_ylim(0, 30)
Example #7
Source File: test_collections.py From twitter-stock-recommendation with MIT License | 6 votes |
def test_EllipseCollection(): # Test basic functionality fig, ax = plt.subplots() x = np.arange(4) y = np.arange(3) X, Y = np.meshgrid(x, y) XY = np.vstack((X.ravel(), Y.ravel())).T ww = X / x[-1] hh = Y / y[-1] aa = np.ones_like(ww) * 20 # first axis is 20 degrees CCW from x axis ec = mcollections.EllipseCollection(ww, hh, aa, units='x', offsets=XY, transOffset=ax.transData, facecolors='none') ax.add_collection(ec) ax.autoscale_view()
Example #8
Source File: test_collections.py From twitter-stock-recommendation with MIT License | 6 votes |
def test_size_in_xy(): fig, ax = plt.subplots() widths, heights, angles = (10, 10), 10, 0 widths = 10, 10 coords = [(10, 10), (15, 15)] e = mcollections.EllipseCollection( widths, heights, angles, units='xy', offsets=coords, transOffset=ax.transData) ax.add_collection(e) ax.set_xlim(0, 30) ax.set_ylim(0, 30)
Example #9
Source File: image.py From marvin with BSD 3-Clause "New" or "Revised" License | 4 votes |
def overlay_fibers(self, ax, diameter=None, skies=None, return_figure=True, **kwargs): """ Overlay the individual fibers within an IFU on a plot. Parameters: ax (Axis): The matplotlib axis object diameter (float): The fiber diameter in arcsec. Default is 2". skies (bool): Set to True to additionally overlay the sky fibers. Default if False return_figure (bool): If True, returns the figure axis object. Default is True kwargs: Any keyword arguments accepted by Matplotlib EllipseCollection """ if self.wcs is None: raise MarvinError('No WCS found. Cannot overlay fibers.') # check the diameter if diameter: assert isinstance(diameter, (float, int)), 'diameter must be a number' diameter = (diameter or 2.0) / float(self.header['SCALE']) # get the fiber pixel coordinates fibers = self.bundle.fibers[:, [1, 2]] fiber_pix = self.wcs.wcs_world2pix(fibers, 1) # some matplotlib kwargs kwargs['edgecolor'] = kwargs.get('edgecolor', 'Orange') kwargs['facecolor'] = kwargs.get('facecolor', 'none') kwargs['linewidth'] = kwargs.get('linewidth', 0.4) ec = EllipseCollection(diameter, diameter, 0.0, units='xy', offsets=fiber_pix, transOffset=ax.transData, **kwargs) ax.add_collection(ec) # overlay the sky fibers if skies: self.overlay_skies(ax, diameter=diameter, return_figure=return_figure, **kwargs) if return_figure: return ax
Example #10
Source File: image.py From marvin with BSD 3-Clause "New" or "Revised" License | 4 votes |
def overlay_skies(self, ax, diameter=None, return_figure=True, **kwargs): """ Overlay the sky fibers on a plot Parameters: ax (Axis): The matplotlib axis object diameter (float): The fiber diameter in arcsec return_figure (bool): If True, returns the figure axis object. Default is True kwargs: Any keyword arguments accepted by Matplotlib EllipseCollection """ if self.wcs is None: raise MarvinError('No WCS found. Cannot overlay sky fibers.') # check for sky coordinates if self.bundle.skies is None: self.bundle.get_sky_coordinates() # check the diameter if diameter: assert isinstance(diameter, (float, int)), 'diameter must be a number' diameter = (diameter or 2.0) / float(self.header['SCALE']) # get sky fiber pixel positions fiber_pix = self.wcs.wcs_world2pix(self.bundle.skies, 1) outside_range = ((fiber_pix < 0) | (fiber_pix > self.data.size[0])).any() if outside_range: raise MarvinError('Cannot overlay sky fibers. Image is too small. ' 'Please retrieve a bigger image cutout') # some matplotlib kwargs kwargs['edgecolor'] = kwargs.get('edgecolor', 'Orange') kwargs['facecolor'] = kwargs.get('facecolor', 'none') kwargs['linewidth'] = kwargs.get('linewidth', 0.7) # draw the sky fibers ec = EllipseCollection(diameter, diameter, 0.0, units='xy', offsets=fiber_pix, transOffset=ax.transData, **kwargs) ax.add_collection(ec) # Add a larger circle to help identify the sky fiber locations in large images. if (self.data.size[0] > 1000) or (self.data.size[1] > 1000): ec = EllipseCollection(diameter * 5, diameter * 5, 0.0, units='xy', offsets=fiber_pix, transOffset=ax.transData, **kwargs) ax.add_collection(ec) if return_figure: return ax