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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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"""Tests for the `skewt` module.""" |
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from matplotlib.gridspec import GridSpec |
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import matplotlib.pyplot as plt |
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import numpy as np |
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import pytest |
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from metpy.plots import Hodograph, SkewT |
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# Fixtures to make sure we have the right backend and consistent round |
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from metpy.testing import patch_round, set_agg_backend # noqa: F401 |
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from metpy.units import units |
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@pytest.mark.mpl_image_compare(tolerance=0.021, remove_text=True) |
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def test_skewt_api(): |
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"""Test the SkewT API.""" |
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fig = plt.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(tolerance=0, remove_text=True) |
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def test_skewt_subplot(): |
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"""Test using SkewT on a sub-plot.""" |
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fig = plt.figure(figsize=(9, 9)) |
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SkewT(fig, subplot=(2, 2, 1)) |
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return fig |
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@pytest.mark.mpl_image_compare(tolerance=0, remove_text=True) |
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def test_skewt_gridspec(): |
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"""Test using SkewT on a sub-plot.""" |
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fig = plt.figure(figsize=(9, 9)) |
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gs = GridSpec(1, 2) |
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SkewT(fig, subplot=gs[0, 1]) |
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return fig |
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def test_skewt_with_grid_enabled(): |
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"""Test using SkewT when gridlines are already enabled (#271).""" |
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with plt.rc_context(rc={'axes.grid': True}): |
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# Also tests when we don't pass in Figure |
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SkewT() |
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p = np.linspace(1000, 100, 10) |
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T = np.linspace(20, -20, 10) |
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Tp = np.linspace(25, -30, 10) |
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@pytest.mark.mpl_image_compare(tolerance=0, remove_text=True) |
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def test_skewt_shade_cape_cin(): |
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"""Test shading CAPE and CIN on a SkewT plot.""" |
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fig = plt.figure(figsize=(9, 9)) |
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skew = SkewT(fig) |
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skew.plot(p, T, 'r') |
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skew.plot(p, Tp, 'k') |
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skew.shade_cape(p, T, Tp) |
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skew.shade_cin(p, T, Tp) |
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return fig |
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@pytest.mark.mpl_image_compare(tolerance=0, remove_text=True) |
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def test_skewt_shade_area(): |
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"""Test shading areas on a SkewT plot.""" |
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fig = plt.figure(figsize=(9, 9)) |
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skew = SkewT(fig) |
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skew.plot(p, T, 'r') |
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skew.plot(p, Tp, 'k') |
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skew.shade_area(p, T, Tp) |
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return fig |
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@pytest.mark.mpl_image_compare(tolerance=0, remove_text=True) |
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def test_skewt_shade_area_kwargs(): |
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"""Test shading areas on a SkewT plot with kwargs.""" |
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fig = plt.figure(figsize=(9, 9)) |
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skew = SkewT(fig) |
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skew.plot(p, T, 'r') |
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skew.plot(p, Tp, 'k') |
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skew.shade_area(p, T, Tp, color='magenta') |
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return fig |
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View Code Duplication |
@pytest.mark.mpl_image_compare(tolerance=0, remove_text=True) |
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def test_hodograph_api(): |
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"""Basic test of Hodograph API.""" |
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fig = plt.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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return fig |
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View Code Duplication |
@pytest.mark.mpl_image_compare(tolerance=0, remove_text=True) |
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def test_hodograph_api(): |
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"""Basic test of Hodograph API.""" |
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fig = plt.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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return fig |
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@pytest.mark.mpl_image_compare(tolerance=0, remove_text=True) |
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def test_hodograph_units(): |
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"""Test passing unit-ed quantities to Hodograph.""" |
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fig = plt.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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return fig |
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def test_hodograph_alone(): |
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"""Test to create Hodograph without specifying axes.""" |
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Hodograph() |
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@pytest.mark.mpl_image_compare(tolerance=0, remove_text=True) |
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def test_hodograph_plot_colormapped(): |
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"""Test hodograph colored line with NaN values.""" |
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u = np.arange(5., 65., 5) |
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v = np.arange(-5., -65., -5) |
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u[3] = np.nan |
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v[6] = np.nan |
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fig = plt.figure(figsize=(9, 9)) |
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ax = fig.add_subplot(1, 1, 1) |
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hodo = Hodograph(ax, component_range=80) |
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hodo.add_grid(increment=20, color='k') |
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hodo.plot_colormapped(u, v, np.hypot(u, v), cmap='Greys') |
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return fig |
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Unidata /
MetPy
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