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# Copyright (c) 2008-2015 MetPy Developers. |
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# Distributed under the terms of the BSD 3-Clause License. |
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# SPDX-License-Identifier: BSD-3-Clause |
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import numpy as np |
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from matplotlib import style |
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from matplotlib.gridspec import GridSpec |
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import pytest |
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from metpy.plots.skewt import * # noqa: F403 |
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from metpy.testing import hide_tick_labels, make_figure, test_style |
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from metpy.units import units |
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View Code Duplication |
@pytest.mark.mpl_image_compare |
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def test_skewt_api(): |
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'Test the SkewT api' |
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with style.context(test_style): |
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fig = make_figure(figsize=(9, 9)) |
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skew = SkewT(fig) |
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# Plot the data using normal plotting functions, in this case using |
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# log scaling in Y, as dictated by the typical meteorological plot |
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p = np.linspace(1000, 100, 10) |
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t = np.linspace(20, -20, 10) |
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u = np.linspace(-10, 10, 10) |
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skew.plot(p, t, 'r') |
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skew.plot_barbs(p, u, u) |
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# Add the relevant special lines |
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skew.plot_dry_adiabats() |
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skew.plot_moist_adiabats() |
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skew.plot_mixing_lines() |
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hide_tick_labels(skew.ax) |
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return fig |
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View Code Duplication |
@pytest.mark.mpl_image_compare(savefig_kwargs={'bbox_inches': 'tight'}) |
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def test_skewt_size(): |
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'Test that figure sizes are not inflated by ticks (#158)' |
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with style.context(test_style): |
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fig = make_figure(figsize=(9, 9)) |
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skew = SkewT(fig) |
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# Plot the data using normal plotting functions, in this case using |
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# log scaling in Y, as dictated by the typical meteorological plot |
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p = np.linspace(1000, 100, 10) |
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t = np.linspace(20, -20, 10) |
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u = np.linspace(-10, 10, 10) |
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skew.plot(p, t, 'r') |
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skew.plot_barbs(p, u, u) |
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# Add the relevant special lines |
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skew.plot_dry_adiabats() |
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skew.plot_moist_adiabats() |
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skew.plot_mixing_lines() |
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return fig |
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@pytest.mark.mpl_image_compare |
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def test_skewt_subplot(): |
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'Test using SkewT on a sub-plot' |
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with style.context(test_style): |
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fig = make_figure(figsize=(9, 9)) |
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hide_tick_labels(SkewT(fig, subplot=(2, 2, 1)).ax) |
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return fig |
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@pytest.mark.mpl_image_compare |
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def test_skewt_gridspec(): |
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'Test using SkewT on a sub-plot' |
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with style.context(test_style): |
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fig = make_figure(figsize=(9, 9)) |
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gs = GridSpec(1, 2) |
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hide_tick_labels(SkewT(fig, subplot=gs[0, 1]).ax) |
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return fig |
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@pytest.mark.mpl_image_compare |
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def test_hodograph_api(): |
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'Basic test of Hodograph API' |
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with style.context(test_style): |
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fig = make_figure(figsize=(9, 9)) |
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ax = fig.add_subplot(1, 1, 1) |
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hodo = Hodograph(ax, component_range=60) |
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hodo.add_grid(increment=5, color='k') |
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hodo.plot([1, 10], [1, 10], color='red') |
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hodo.plot_colormapped(np.array([1, 3, 5, 10]), np.array([2, 4, 6, 11]), |
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np.array([0.1, 0.3, 0.5, 0.9]), cmap='Greys') |
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hide_tick_labels(ax) |
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return fig |
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@pytest.mark.mpl_image_compare |
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def test_hodograph_units(): |
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'Test passing unit-ed quantities to Hodograph' |
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with style.context(test_style): |
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fig = make_figure(figsize=(9, 9)) |
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ax = fig.add_subplot(1, 1, 1) |
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hodo = Hodograph(ax) |
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u = np.arange(10) * units.kt |
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v = np.arange(10) * units.kt |
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hodo.plot(u, v) |
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hodo.plot_colormapped(u, v, np.sqrt(u * u + v * v), cmap='Greys') |
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hide_tick_labels(ax) |
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return fig |
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Unidata /
MetPy
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