diff --git a/lib/matplotlib/streamplot.py b/lib/matplotlib/streamplot.py index f8e431d20a2f..f1886f3fa7a8 100644 --- a/lib/matplotlib/streamplot.py +++ b/lib/matplotlib/streamplot.py @@ -133,7 +133,7 @@ def streamplot(axes, x, y, u, v, density=1, linewidth=None, color=None, line_kw['zorder'] = zorder arrow_kw['zorder'] = zorder - ## Sanity checks. + # Sanity checks. if u.shape != grid.shape or v.shape != grid.shape: raise ValueError("'u' and 'v' must match the shape of 'Grid(x, y)'") @@ -156,8 +156,8 @@ def streamplot(axes, x, y, u, v, density=1, linewidth=None, color=None, # Check if start_points are outside the data boundaries for xs, ys in sp2: - if not (grid.x_origin <= xs <= grid.x_origin + grid.width - and grid.y_origin <= ys <= grid.y_origin + grid.height): + if not (grid.x_origin <= xs <= grid.x_origin + grid.width and + grid.y_origin <= ys <= grid.y_origin + grid.height): raise ValueError("Starting point ({}, {}) outside of data " "boundaries".format(xs, ys)) @@ -263,8 +263,8 @@ def __init__(self, grid, mask): self.grid = grid self.mask = mask # Constants for conversion between grid- and mask-coordinates - self.x_grid2mask = (mask.nx - 1) / grid.nx - self.y_grid2mask = (mask.ny - 1) / grid.ny + self.x_grid2mask = (mask.nx - 1) / (grid.nx - 1) + self.y_grid2mask = (mask.ny - 1) / (grid.ny - 1) self.x_mask2grid = 1. / self.x_grid2mask self.y_mask2grid = 1. / self.y_grid2mask @@ -413,7 +413,7 @@ class TerminateTrajectory(Exception): # Integrator definitions -#======================== +# ======================= def get_integrator(u, v, dmap, minlength, maxlength, integration_direction): @@ -421,11 +421,13 @@ def get_integrator(u, v, dmap, minlength, maxlength, integration_direction): u, v = dmap.data2grid(u, v) # speed (path length) will be in axes-coordinates - u_ax = u / dmap.grid.nx - v_ax = v / dmap.grid.ny + u_ax = u / (dmap.grid.nx - 1) + v_ax = v / (dmap.grid.ny - 1) speed = np.ma.sqrt(u_ax ** 2 + v_ax ** 2) def forward_time(xi, yi): + if not dmap.grid.within_grid(xi, yi): + raise OutOfBounds ds_dt = interpgrid(speed, xi, yi) if ds_dt == 0: raise TerminateTrajectory() @@ -480,6 +482,10 @@ def integrate(x0, y0): return integrate +class OutOfBounds(IndexError): + pass + + def _integrate_rk12(x0, y0, dmap, f, maxlength): """2nd-order Runge-Kutta algorithm with adaptive step size. @@ -523,18 +529,28 @@ def _integrate_rk12(x0, y0, dmap, f, maxlength): xf_traj = [] yf_traj = [] - while dmap.grid.within_grid(xi, yi): - xf_traj.append(xi) - yf_traj.append(yi) + while True: try: + if dmap.grid.within_grid(xi, yi): + xf_traj.append(xi) + yf_traj.append(yi) + else: + raise OutOfBounds + + # Compute the two intermediate gradients. + # f should raise OutOfBounds if the locations given are + # outside the grid. k1x, k1y = f(xi, yi) - k2x, k2y = f(xi + ds * k1x, - yi + ds * k1y) - except IndexError: - # Out of the domain on one of the intermediate integration steps. - # Take an Euler step to the boundary to improve neatness. - ds, xf_traj, yf_traj = _euler_step(xf_traj, yf_traj, dmap, f) - stotal += ds + k2x, k2y = f(xi + ds * k1x, yi + ds * k1y) + + except OutOfBounds: + # Out of the domain during this step. + # Take an Euler step to the boundary to improve neatness + # unless the trajectory is currently empty. + if xf_traj: + ds, xf_traj, yf_traj = _euler_step(xf_traj, yf_traj, + dmap, f) + stotal += ds break except TerminateTrajectory: break @@ -546,7 +562,7 @@ def _integrate_rk12(x0, y0, dmap, f, maxlength): nx, ny = dmap.grid.shape # Error is normalized to the axes coordinates - error = np.hypot((dx2 - dx1) / nx, (dy2 - dy1) / ny) + error = np.hypot((dx2 - dx1) / (nx - 1), (dy2 - dy1) / (ny - 1)) # Only save step if within error tolerance if error < maxerror: @@ -651,7 +667,6 @@ def _gen_starting_points(shape): x, y = 0, 0 direction = 'right' for i in range(nx * ny): - yield x, y if direction == 'right': diff --git a/lib/matplotlib/tests/baseline_images/test_pickle/multi_pickle.png b/lib/matplotlib/tests/baseline_images/test_pickle/multi_pickle.png index d399b380d44d..3a6f41fa2948 100644 Binary files a/lib/matplotlib/tests/baseline_images/test_pickle/multi_pickle.png and b/lib/matplotlib/tests/baseline_images/test_pickle/multi_pickle.png differ diff --git a/lib/matplotlib/tests/baseline_images/test_streamplot/streamplot_colormap.pdf b/lib/matplotlib/tests/baseline_images/test_streamplot/streamplot_colormap.pdf index afc2f2966475..7f29b4a9eabf 100644 Binary files a/lib/matplotlib/tests/baseline_images/test_streamplot/streamplot_colormap.pdf and b/lib/matplotlib/tests/baseline_images/test_streamplot/streamplot_colormap.pdf differ diff --git a/lib/matplotlib/tests/baseline_images/test_streamplot/streamplot_colormap.png b/lib/matplotlib/tests/baseline_images/test_streamplot/streamplot_colormap.png index fed48765d45e..99d7e1d44cd8 100644 Binary files a/lib/matplotlib/tests/baseline_images/test_streamplot/streamplot_colormap.png and b/lib/matplotlib/tests/baseline_images/test_streamplot/streamplot_colormap.png differ diff --git a/lib/matplotlib/tests/baseline_images/test_streamplot/streamplot_colormap.svg b/lib/matplotlib/tests/baseline_images/test_streamplot/streamplot_colormap.svg index ae46e125d162..869361f76dd0 100644 --- a/lib/matplotlib/tests/baseline_images/test_streamplot/streamplot_colormap.svg +++ b/lib/matplotlib/tests/baseline_images/test_streamplot/streamplot_colormap.svg @@ -32,52 +32,52 @@ z +" id="mb2750bda3d" style="stroke:#000000;stroke-width:0.8;"/> - 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- + +" style="fill:#1f77b4;stroke:#1f77b4;stroke-linecap:round;stroke-width:5.141964;"/> - - + +" style="fill:#1f77b4;stroke:#1f77b4;stroke-linecap:round;stroke-width:0.038853;"/> - - + +" style="fill:#1f77b4;stroke:#1f77b4;stroke-linecap:round;stroke-width:3.176155;"/> - - + +" style="fill:#1f77b4;stroke:#1f77b4;stroke-linecap:round;stroke-width:3.844646;"/> - - + +" style="fill:#1f77b4;stroke:#1f77b4;stroke-linecap:round;stroke-width:0.62708;"/> - - + +" style="fill:#1f77b4;stroke:#1f77b4;stroke-linecap:round;stroke-width:0.205215;"/> + + + + + + + + + + + + + + + + + + + + + + + + + + + + - + - + - + @@ -4856,7 +5467,7 @@ L 414.72 41.472 - + diff --git a/lib/matplotlib/tests/test_streamplot.py b/lib/matplotlib/tests/test_streamplot.py index 9ea89e049d19..d2218f6f288d 100644 --- a/lib/matplotlib/tests/test_streamplot.py +++ b/lib/matplotlib/tests/test_streamplot.py @@ -9,6 +9,7 @@ on_win = (sys.platform == 'win32') +on_mac = (sys.platform == 'darwin') def velocity_field(): @@ -79,7 +80,8 @@ def test_masks_and_nans(): @image_comparison(['streamplot_maxlength.png'], - remove_text=True, style='mpl20') + remove_text=True, style='mpl20', + tol=0.002 if on_mac else 0) def test_maxlength(): x, y, U, V = swirl_velocity_field() ax = plt.figure().subplots()