From bbd2488f15560e6ce82e0e63f2217ad80c7553c8 Mon Sep 17 00:00:00 2001 From: Adam Theisen Date: Wed, 20 Dec 2023 13:37:00 -0600 Subject: [PATCH] ENH: Updating tests for plotting to increase coverage (#777) --- act/plotting/distributiondisplay.py | 49 +++--- act/tests/plotting/baseline/test_heatmap.png | Bin 27356 -> 27006 bytes act/tests/plotting/baseline/test_heatmap2.png | Bin 0 -> 26299 bytes act/tests/plotting/baseline/test_heatmap3.png | Bin 0 -> 27243 bytes act/tests/plotting/baseline/test_scatter2.png | Bin 0 -> 39521 bytes .../baseline/test_size_distribution2.png | Bin 0 -> 29207 bytes .../baseline/test_stacked_bar_graph3.png | Bin 0 -> 99909 bytes .../plotting/baseline/test_stair_graph2.png | Bin 0 -> 96753 bytes act/tests/plotting/baseline/test_violin2.png | Bin 0 -> 28515 bytes .../plotting/test_distributiondisplay.py | 149 +++++++++++++++++- act/tests/plotting/test_geodisplay.py | 24 ++- 11 files changed, 192 insertions(+), 30 deletions(-) create mode 100644 act/tests/plotting/baseline/test_heatmap2.png create mode 100644 act/tests/plotting/baseline/test_heatmap3.png create mode 100644 act/tests/plotting/baseline/test_scatter2.png create mode 100644 act/tests/plotting/baseline/test_size_distribution2.png create mode 100644 act/tests/plotting/baseline/test_stacked_bar_graph3.png create mode 100644 act/tests/plotting/baseline/test_stair_graph2.png create mode 100644 act/tests/plotting/baseline/test_violin2.png diff --git a/act/plotting/distributiondisplay.py b/act/plotting/distributiondisplay.py index a94d0195cf..0dec535c43 100644 --- a/act/plotting/distributiondisplay.py +++ b/act/plotting/distributiondisplay.py @@ -161,7 +161,11 @@ def plot_stacked_bar( if sortby_bins is None and sortby_field is not None: # We will defaut the y direction to have the same # of bins as x - sortby_bins = np.linspace(ydata.values.min(), ydata.values.max(), len(bins)) + if isinstance(bins, int): + n_bins = bins + else: + n_bins = len(bins) + sortby_bins = np.linspace(ydata.values.min(), ydata.values.max(), n_bins) # Get the current plotting axis if self.fig is None: @@ -175,18 +179,12 @@ def plot_stacked_bar( ytitle = ''.join(['(', ydata.attrs['units'], ')']) else: ytitle = field - if sortby_bins is None: - my_hist, x_bins, y_bins = np.histogram2d( - xdata.values.flatten(), ydata.values.flatten(), density=density, - bins=bins, - **hist_kwargs) - else: - my_hist, x_bins, y_bins = np.histogram2d( - xdata.values.flatten(), - ydata.values.flatten(), - density=density, - bins=[bins, sortby_bins], - **hist_kwargs) + my_hist, x_bins, y_bins = np.histogram2d( + xdata.values.flatten(), + ydata.values.flatten(), + density=density, + bins=[bins, sortby_bins], + **hist_kwargs) x_inds = (x_bins[:-1] + x_bins[1:]) / 2.0 self.axes[subplot_index].bar( x_inds, @@ -402,8 +400,12 @@ def plot_stairstep( ydata = self._ds[dsname][sortby_field] if sortby_bins is None and sortby_field is not None: + if isinstance(bins, int): + n_bins = bins + else: + n_bins = len(bins) # We will defaut the y direction to have the same # of bins as x - sortby_bins = np.linspace(ydata.values.min(), ydata.values.max(), len(bins)) + sortby_bins = np.linspace(ydata.values.min(), ydata.values.max(), n_bins) # Get the current plotting axis, add day/night background and plot data if self.fig is None: @@ -418,18 +420,13 @@ def plot_stairstep( ytitle = ''.join(['(', ydata.attrs['units'], ')']) else: ytitle = field - if sortby_bins is None: - my_hist, x_bins, y_bins = np.histogram2d( - xdata.values.flatten(), ydata.values.flatten(), bins=bins, - density=density, **hist_kwargs) - else: - my_hist, x_bins, y_bins = np.histogram2d( - xdata.values.flatten(), - ydata.values.flatten(), - density=density, - bins=[bins, sortby_bins], - **hist_kwargs - ) + my_hist, x_bins, y_bins = np.histogram2d( + xdata.values.flatten(), + ydata.values.flatten(), + density=density, + bins=[bins, sortby_bins], + **hist_kwargs + ) x_inds = (x_bins[:-1] + x_bins[1:]) / 2.0 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'thing2': sonde_ds}) + with np.testing.assert_raises(ValueError): + histdisplay.plot_stacked_bar('tdry') + with np.testing.assert_raises(ValueError): + histdisplay.plot_size_distribution('tdry', 'time') + with np.testing.assert_raises(ValueError): + histdisplay.plot_stairstep('tdry') + with np.testing.assert_raises(ValueError): + histdisplay.plot_heatmap('tdry', 'alt') + with np.testing.assert_raises(ValueError): + histdisplay.plot_violin('tdry') matplotlib.pyplot.close(fig=histdisplay.fig) @@ -83,6 +95,21 @@ def test_stair_graph(): matplotlib.pyplot.close(histdisplay.fig) +@pytest.mark.mpl_image_compare(tolerance=30) +def test_stair_graph2(): + sonde_ds = act.io.arm.read_arm_netcdf(sample_files.EXAMPLE_SONDE1) + del sonde_ds['tdry'].attrs['units'] + + histdisplay = DistributionDisplay({'sgpsondewnpnC1.b1': sonde_ds}) + histdisplay.plot_stairstep('tdry', sortby_field='alt') + sonde_ds.close() + + try: + return histdisplay.fig + finally: + matplotlib.pyplot.close(histdisplay.fig) + + @pytest.mark.mpl_image_compare(tolerance=30) def test_stair_graph_sorted(): sonde_ds = act.io.arm.read_arm_netcdf(sample_files.EXAMPLE_SONDE1) @@ -132,6 +159,21 @@ def test_stacked_bar_graph2(): matplotlib.pyplot.close(histdisplay.fig) +@pytest.mark.mpl_image_compare(tolerance=30) +def test_stacked_bar_graph3(): + sonde_ds = act.io.arm.read_arm_netcdf(sample_files.EXAMPLE_SONDE1) + del sonde_ds['tdry'].attrs['units'] + + histdisplay = DistributionDisplay({'sgpsondewnpnC1.b1': sonde_ds}) + histdisplay.plot_stacked_bar('tdry', sortby_field='alt') + sonde_ds.close() + + try: + return histdisplay.fig + finally: + matplotlib.pyplot.close(histdisplay.fig) + + @pytest.mark.mpl_image_compare(tolerance=30) def test_stacked_bar_graph_sorted(): sonde_ds = act.io.arm.read_arm_netcdf(sample_files.EXAMPLE_SONDE1) @@ -171,6 +213,47 @@ def test_heatmap(): matplotlib.pyplot.close(histdisplay.fig) +@pytest.mark.mpl_image_compare(tolerance=30) +def test_heatmap2(): + sonde_ds = act.io.arm.read_arm_netcdf(sample_files.EXAMPLE_SONDE1) + del sonde_ds['tdry'].attrs['units'] + + histdisplay = DistributionDisplay({'sgpsondewnpnC1.b1': sonde_ds}) + histdisplay.plot_heatmap( + 'tdry', + 'alt', + x_bins=10, + y_bins=10, + cmap='coolwarm', + ) + sonde_ds.close() + + try: + return histdisplay.fig + finally: + matplotlib.pyplot.close(histdisplay.fig) + + +@pytest.mark.mpl_image_compare(tolerance=30) +def test_heatmap3(): + sonde_ds = act.io.arm.read_arm_netcdf(sample_files.EXAMPLE_SONDE1) + del sonde_ds['tdry'].attrs['units'] + + histdisplay = DistributionDisplay({'sgpsondewnpnC1.b1': sonde_ds}) + histdisplay.plot_heatmap( + 'tdry', + 'alt', + threshold=1, + cmap='coolwarm', + ) + sonde_ds.close() + + try: + return histdisplay.fig + finally: + matplotlib.pyplot.close(histdisplay.fig) + + @pytest.mark.mpl_image_compare(tolerance=30) def test_size_distribution(): sigma = 10 @@ -188,6 +271,24 @@ def test_size_distribution(): matplotlib.pyplot.close(histdisplay.fig) +@pytest.mark.mpl_image_compare(tolerance=30) +def test_size_distribution2(): + sigma = 10 + mu = 50 + bins = pd.date_range('2023-01-01', '2023-01-02', periods=mu) + ydata = 1 / (sigma * np.sqrt(2 * np.pi)) * np.exp(-((np.array(range(len(bins))) - mu) ** 2) / (2 * sigma**2)) + y_array = xr.DataArray(ydata, dims={'time': bins}) + bins = xr.DataArray(bins, dims={'time': bins}) + my_fake_ds = xr.Dataset({'time': bins, 'ydata': y_array}) + my_fake_ds['ydata'].attrs['units'] = 'units' + histdisplay = DistributionDisplay(my_fake_ds) + histdisplay.plot_size_distribution('ydata', bins, time=bins.values[10]) + try: + return histdisplay.fig + finally: + matplotlib.pyplot.close(histdisplay.fig) + + def test_histogram_kwargs(): files = sample_files.EXAMPLE_MET1 ds = act.io.arm.read_arm_netcdf(files) @@ -242,7 +343,29 @@ def test_violin(): ds.close() - return display.fig + try: + return display.fig + finally: + matplotlib.pyplot.close(display.fig) + + +@pytest.mark.mpl_image_compare(tolerance=30) +def test_violin2(): + ds = act.io.arm.read_arm_netcdf(sample_files.EXAMPLE_MET1) + del ds['temp_mean'].attrs['units'] + + # Create a DistributionDisplay object to compare fields + display = DistributionDisplay(ds) + + # Create violin display of mean temperature + display.plot_violin('temp_mean', vert=False) + + ds.close() + + try: + return display.fig + finally: + matplotlib.pyplot.close(display.fig) @pytest.mark.mpl_image_compare(tolerance=30) @@ -262,4 +385,26 @@ def test_scatter(): ds.close() - return display.fig + try: + return display.fig + finally: + matplotlib.pyplot.close(display.fig) + + +@pytest.mark.mpl_image_compare(tolerance=30) +def test_scatter2(): + ds = act.io.arm.read_arm_netcdf(sample_files.EXAMPLE_MET1) + del ds['wspd_arith_mean'].attrs['units'] + del ds['wspd_vec_mean'].attrs['units'] + # Create a DistributionDisplay object to compare fields + display = DistributionDisplay(ds) + display.plot_scatter( + 'wspd_arith_mean', 'wspd_vec_mean', + ) + display.set_ratio_line() + ds.close() + + try: + return display.fig + finally: + matplotlib.pyplot.close(display.fig) diff --git a/act/tests/plotting/test_geodisplay.py b/act/tests/plotting/test_geodisplay.py index b651fca1ea..fc0be20f27 100644 --- a/act/tests/plotting/test_geodisplay.py +++ b/act/tests/plotting/test_geodisplay.py @@ -1,7 +1,6 @@ import matplotlib - import pytest - +import numpy as np import act from act.tests import sample_files from act.plotting import GeographicPlotDisplay @@ -73,3 +72,24 @@ def test_geoplot_tile(): except Exception: pass sonde_ds.close() + + +def test_geo_errors(): + sonde_ds = act.io.arm.read_arm_netcdf(sample_files.EXAMPLE_SONDE1) + display = GeographicPlotDisplay({'thing1': sonde_ds, 'thing2': sonde_ds}) + with np.testing.assert_raises(ValueError): + display.geoplot('tdry') + with np.testing.assert_raises(ValueError): + display.geoplot() + + del sonde_ds['lat'] + display = GeographicPlotDisplay({'thing1': sonde_ds, 'thing2': sonde_ds}) + with np.testing.assert_raises(ValueError): + display.geoplot('tdry') + + sonde_ds = act.io.arm.read_arm_netcdf(sample_files.EXAMPLE_SONDE1) + del sonde_ds['lon'] + del sonde_ds['tdry'].attrs['units'] + display = GeographicPlotDisplay({'thing1': sonde_ds, 'thing2': sonde_ds}) + with np.testing.assert_raises(ValueError): + display.geoplot('tdry')