From 2d06e188c7ce8a7d08ddc06539a7e8216eacb1e0 Mon Sep 17 00:00:00 2001 From: Anna Savage Date: Mon, 26 Jan 2026 14:00:31 -0800 Subject: [PATCH 1/6] changing directional convention of output directional spectrum --- wave_signal_processing/spectral_analysis.py | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/wave_signal_processing/spectral_analysis.py b/wave_signal_processing/spectral_analysis.py index 3086c0c..93f5004 100644 --- a/wave_signal_processing/spectral_analysis.py +++ b/wave_signal_processing/spectral_analysis.py @@ -300,10 +300,13 @@ def root_finder( direction_increment = get_direction_increment(directions_radians) twiddle_factors = np.empty((4, len(directions_radians))) - twiddle_factors[0, :] = np.cos(directions_radians) - twiddle_factors[1, :] = np.sin(directions_radians) - twiddle_factors[2, :] = np.cos(2 * directions_radians) - twiddle_factors[3, :] = np.sin(2 * directions_radians) + + phi = (3 * np.pi / 2) - directions_radians # phi = 270° - theta, in radians + + twiddle_factors[0, :] = np.cos(phi) # corresponds to a1 + twiddle_factors[1, :] = np.sin(phi) # corresponds to b1 + twiddle_factors[2, :] = np.cos(2 * phi) # corresponds to a2 + twiddle_factors[3, :] = np.sin(2 * phi) # corresponds to b2 guess = initial_value(moments) for ipoint in range(0, number_of_points): From a6ec6f371c6207652b38eb28ef47fb8763c2a672 Mon Sep 17 00:00:00 2001 From: Anna Savage Date: Mon, 26 Jan 2026 14:04:44 -0800 Subject: [PATCH 2/6] updating comments --- wave_signal_processing/spectral_analysis.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/wave_signal_processing/spectral_analysis.py b/wave_signal_processing/spectral_analysis.py index 93f5004..ac68c06 100644 --- a/wave_signal_processing/spectral_analysis.py +++ b/wave_signal_processing/spectral_analysis.py @@ -301,12 +301,12 @@ def root_finder( twiddle_factors = np.empty((4, len(directions_radians))) - phi = (3 * np.pi / 2) - directions_radians # phi = 270° - theta, in radians + phi = (3 * np.pi / 2) - directions_radians # uses meteorological directional convention - twiddle_factors[0, :] = np.cos(phi) # corresponds to a1 - twiddle_factors[1, :] = np.sin(phi) # corresponds to b1 - twiddle_factors[2, :] = np.cos(2 * phi) # corresponds to a2 - twiddle_factors[3, :] = np.sin(2 * phi) # corresponds to b2 + twiddle_factors[0, :] = np.cos(phi) + twiddle_factors[1, :] = np.sin(phi) + twiddle_factors[2, :] = np.cos(2 * phi) + twiddle_factors[3, :] = np.sin(2 * phi) guess = initial_value(moments) for ipoint in range(0, number_of_points): From c51be750c3bd8d6593c399676c6bccbe55774875 Mon Sep 17 00:00:00 2001 From: Anna Savage Date: Fri, 30 Jan 2026 10:46:37 -0800 Subject: [PATCH 3/6] updating --- wave_signal_processing/spectral_analysis.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/wave_signal_processing/spectral_analysis.py b/wave_signal_processing/spectral_analysis.py index ac68c06..aac3bef 100644 --- a/wave_signal_processing/spectral_analysis.py +++ b/wave_signal_processing/spectral_analysis.py @@ -306,7 +306,7 @@ def root_finder( twiddle_factors[0, :] = np.cos(phi) twiddle_factors[1, :] = np.sin(phi) twiddle_factors[2, :] = np.cos(2 * phi) - twiddle_factors[3, :] = np.sin(2 * phi) + twiddle_factors[3, :] = np.sin(2 * phi) guess = initial_value(moments) for ipoint in range(0, number_of_points): From a599e60ffc0d3d19f615bd327414bd890c2d67d8 Mon Sep 17 00:00:00 2001 From: Anna Savage Date: Fri, 30 Jan 2026 13:58:08 -0800 Subject: [PATCH 4/6] editing tests after changing direction orientation --- tests/test_estimate_directional_spectrum.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/tests/test_estimate_directional_spectrum.py b/tests/test_estimate_directional_spectrum.py index e0dada8..6437f68 100644 --- a/tests/test_estimate_directional_spectrum.py +++ b/tests/test_estimate_directional_spectrum.py @@ -480,9 +480,9 @@ def test_real_world_regression_values(self): mean_value = np.mean(result[result > 0]) # Mean of non-zero values # Expected values (computed from current implementation) - expected_total_energy = 0.7900041687211213 # Sum of all directional spectrum values - expected_max_value = 0.006608127419460172 # Maximum value in the spectrum - expected_mean_nonzero = 0.00013299733480153555 # Mean of non-zero values + expected_total_energy = 0.2425907168308593 # Sum of all directional spectrum values + expected_max_value = 0.0014528723167043526 # Maximum value in the spectrum + expected_mean_nonzero = 1.705982537488462e-05 # Mean of non-zero values # Test with reasonable tolerance for numerical precision np.testing.assert_allclose(total_energy, expected_total_energy, rtol=1e-10, @@ -498,8 +498,8 @@ def test_real_world_regression_values(self): peak_direction_idx = np.argmax(peak_freq_spectrum) peak_value = peak_freq_spectrum[peak_direction_idx] - expected_peak_value = 0.006608127419460172 - expected_peak_direction_idx = 91 # Direction index where peak occurs + expected_peak_value = 7.91873312652406e-06 + expected_peak_direction_idx = 140 # Direction index where peak occurs np.testing.assert_allclose(peak_value, expected_peak_value, rtol=1e-10, err_msg="Peak value should match expected value") @@ -515,10 +515,10 @@ def test_real_world_regression_values(self): ] expected_values = [ - 0.002799481644527717, # (0, 0) - 0.006597944104197192, # (0, 90) - 1.7293532633632256e-08, # (10, 45) - 4.510801355465396e-09, # (20, 120) + 3.657132915143452e-06, # (0, 0) + 4.333589151813877e-06, # (0, 90) + 6.2458001964083e-06, # (10, 45) + 7.228481877123873e-05, # (20, 120) ] for (freq_idx, dir_idx), expected_val in zip(test_indices, expected_values): From 7203ec72034907f3ba2654b480039fc3994fdbb8 Mon Sep 17 00:00:00 2001 From: Anna Savage Date: Fri, 30 Jan 2026 15:02:05 -0800 Subject: [PATCH 5/6] migrating reqs into pyproject.toml --- directional_wave_spectra_example.ipynb | 148 +++++++++++++++++-------- pyproject.toml | 8 ++ requirements.txt | 6 - 3 files changed, 108 insertions(+), 54 deletions(-) delete mode 100644 requirements.txt diff --git a/directional_wave_spectra_example.ipynb b/directional_wave_spectra_example.ipynb index 4fec5f0..a675646 100644 --- a/directional_wave_spectra_example.ipynb +++ b/directional_wave_spectra_example.ipynb @@ -1,42 +1,47 @@ { "cells": [ { - "metadata": {}, "cell_type": "markdown", - "source": "## This computes 2 dimensional wave spectral density from variance density and directional moments that come from Sofar's Spotter Buoys.", - "id": "5c2bdb246aeeb9c7" + "id": "5c2bdb246aeeb9c7", + "metadata": {}, + "source": [ + "## This computes 2 dimensional wave spectral density from variance density and directional moments that come from Sofar's Spotter Buoys." + ] }, { "cell_type": "code", + "execution_count": 14, "id": "initial_id", "metadata": { - "collapsed": true, "ExecuteTime": { "end_time": "2025-06-23T18:49:51.077813Z", "start_time": "2025-06-23T18:49:48.693262Z" - } + }, + "collapsed": true }, + "outputs": [], "source": [ "from click import progressbar\n", "\n", "# import necessary functions\n", "\n", - "from spectral_analysis import estimate_directional_spectrum, DirectionalMoments\n", + "from wave_signal_processing.spectral_analysis import estimate_directional_spectrum, DirectionalMoments\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np" - ], - "outputs": [], - "execution_count": 1 + ] }, { + "cell_type": "code", + "execution_count": 15, + "id": "d59fc4cdb358e2b2", "metadata": { "ExecuteTime": { "end_time": "2025-06-23T18:49:52.597751Z", "start_time": "2025-06-23T18:49:52.572546Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# the spotter_data dict here is defined as though \"frequencyData\" was grabbed through the API. It is a single \"frequencyData\" dict associated with a single time stamp.\n", "\n", @@ -754,19 +759,19 @@ " 'timestamp': '2025-05-08T21:00:00.000Z',\n", " 'latitude': -35.0278,\n", " 'longitude': 138.45047}" - ], - "id": "d59fc4cdb358e2b2", - "outputs": [], - "execution_count": 2 + ] }, { + "cell_type": "code", + "execution_count": 16, + "id": "4acfca5e5cb602fb", "metadata": { "ExecuteTime": { "end_time": "2025-06-23T18:51:02.855784Z", "start_time": "2025-06-23T18:51:02.851987Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# define arrays to compute 2 dimensional spectra\n", "\n", @@ -780,94 +785,141 @@ ")\n", "\n", "direction = np.linspace(0, 360, 180, endpoint=True) # 2 degree resolution, arbitrarily chosen" - ], - "id": "4acfca5e5cb602fb", - "outputs": [], - "execution_count": 3 + ] }, { + "cell_type": "code", + "execution_count": 17, + "id": "eab4754dc0f7163c", "metadata": { "ExecuteTime": { "end_time": "2025-06-23T18:51:10.183585Z", "start_time": "2025-06-23T18:51:08.789768Z" } }, - "cell_type": "code", - "source": "twoD_spectra = estimate_directional_spectrum(variance_density, direction_moments, direction)", - "id": "eab4754dc0f7163c", "outputs": [], - "execution_count": 4 + "source": [ + "twoD_spectra = estimate_directional_spectrum(variance_density, direction_moments, direction)" + ] }, { + "cell_type": "code", + "execution_count": 19, + "id": "3711334a8cdf166c", "metadata": { "ExecuteTime": { "end_time": "2025-06-23T18:51:11.265496Z", "start_time": "2025-06-23T18:51:11.051709Z" } }, - "cell_type": "code", - "source": [ - "fig, ax = plt.subplots(figsize=(8, 8), subplot_kw=dict(projection='polar'))\n", - "theta = np.deg2rad(direction)\n", - "im = ax.contourf(theta, frequency, twoD_spectra, cmap='viridis')\n", - "ax.set_xlim([0*np.pi,2*np.pi])\n", - "ax.set_ylim([0,0.2])\n", - "ax.set_theta_zero_location(\"E\")\n", - "ax.grid('on')\n", - "\n", - "plt.colorbar(im,shrink=0.5)" - ], - "id": "3711334a8cdf166c", "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 5, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { + "image/png": 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", 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" + ] }, "metadata": {}, "output_type": "display_data" } ], - "execution_count": 5 + "source": [ + "fig, ax = plt.subplots(figsize=(8, 8), subplot_kw=dict(projection='polar'))\n", + "theta = np.deg2rad(direction)\n", + "im = ax.contourf(theta, frequency, twoD_spectra, cmap='viridis')\n", + "ax.set_xlim([0*np.pi,2*np.pi])\n", + "ax.set_ylim([0,0.2])\n", + "ax.set_theta_zero_location(\"N\")\n", + "ax.set_theta_direction(-1)\n", + "ax.grid('on')\n", + "\n", + "plt.colorbar(im,shrink=0.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "15dfbd38", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[(0, 0), (0, 90), (10, 45), (20, 120)]\n" + ] + } + ], + "source": [ + "test_indices = [\n", + " (0, 0), # First frequency, first direction\n", + " (0, 90), # First frequency, 90th direction (180°)\n", + " (10, 45), # 10th frequency, 45th direction (90°)\n", + " (20, 120), # 20th frequency, 120th direction (240°)\n", + "]\n", + "\n", + "print(test_indices)" + ] }, { + "cell_type": "code", + "execution_count": 25, + "id": "591f9b6a", "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3.657132915143452e-06\n", + "4.333589151813877e-06\n", + "6.2458001964083e-06\n", + "7.228481877123873e-05\n" + ] + } + ], + "source": [ + "for (freq_idx, dir_idx) in test_indices:\n", + " print(twoD_spectra[freq_idx, dir_idx])" + ] + }, + { "cell_type": "code", - "outputs": [], "execution_count": null, - "source": "", - "id": "b46c2ac4335e58f2" + "id": "9f1bb4b2", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", - "version": 2 + "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.6" + "pygments_lexer": "ipython3", + "version": "3.9.6" } }, "nbformat": 4, diff --git a/pyproject.toml b/pyproject.toml index d4f9ffb..23099d5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -8,6 +8,14 @@ version = "0.1.0" description = "Reusable utility functions for internal projects" readme = "README.md" requires-python = ">=3.8" +dependencies = [ + "numpy", + "pandas", + "matplotlib", + "pytest", + "scipy", + "numba" + ] authors = [ { name = "Anna Savage", email = "anna.savage@sofarocean.com" } diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index 78feab5..0000000 --- a/requirements.txt +++ /dev/null @@ -1,6 +0,0 @@ -numpy -pandas -matplotlib -pytest -scipy -numba From c1baf19297b8a6e9d3839129fa9ca6658b79ea6f Mon Sep 17 00:00:00 2001 From: Anna Savage Date: Fri, 30 Jan 2026 15:19:29 -0800 Subject: [PATCH 6/6] modifying tests to accomodate changes in direction orientation (with help from AI) --- tests/test_estimate_directional_spectrum.py | 62 ++++++++++----------- 1 file changed, 31 insertions(+), 31 deletions(-) diff --git a/tests/test_estimate_directional_spectrum.py b/tests/test_estimate_directional_spectrum.py index 6437f68..80c8a85 100644 --- a/tests/test_estimate_directional_spectrum.py +++ b/tests/test_estimate_directional_spectrum.py @@ -177,9 +177,9 @@ def test_realistic_wave_conditions(self): peak_direction_idx = np.argmax(np.mean(result, axis=0)) peak_direction = self.directions[peak_direction_idx] - # Peak should be reasonably close to the dominant direction (45 degrees) + # Peak should be reasonably close to the dominant direction (225 degrees) # Allow for some tolerance due to discretization and numerical effects - assert abs(peak_direction - 45) < 5, f"Peak direction {peak_direction} should be near 45 degrees" + assert abs(peak_direction - 225) < 5, f"Peak direction {peak_direction} should be near 225 degrees" def test_symmetry_properties(self): """Test symmetry properties of the directional spectrum.""" @@ -480,9 +480,9 @@ def test_real_world_regression_values(self): mean_value = np.mean(result[result > 0]) # Mean of non-zero values # Expected values (computed from current implementation) - expected_total_energy = 0.2425907168308593 # Sum of all directional spectrum values - expected_max_value = 0.0014528723167043526 # Maximum value in the spectrum - expected_mean_nonzero = 1.705982537488462e-05 # Mean of non-zero values + expected_total_energy = 0.7801396662948376 # Sum of all directional spectrum values + expected_max_value = 0.00660995147262925 # Maximum value in the spectrum + expected_mean_nonzero = 0.00013133664415738004 # Mean of non-zero values # Test with reasonable tolerance for numerical precision np.testing.assert_allclose(total_energy, expected_total_energy, rtol=1e-10, @@ -498,8 +498,8 @@ def test_real_world_regression_values(self): peak_direction_idx = np.argmax(peak_freq_spectrum) peak_value = peak_freq_spectrum[peak_direction_idx] - expected_peak_value = 7.91873312652406e-06 - expected_peak_direction_idx = 140 # Direction index where peak occurs + expected_peak_value = 0.00660995147262925 + expected_peak_direction_idx = 44 # Direction index where peak occurs np.testing.assert_allclose(peak_value, expected_peak_value, rtol=1e-10, err_msg="Peak value should match expected value") @@ -515,10 +515,10 @@ def test_real_world_regression_values(self): ] expected_values = [ - 3.657132915143452e-06, # (0, 0) - 4.333589151813877e-06, # (0, 90) - 6.2458001964083e-06, # (10, 45) - 7.228481877123873e-05, # (20, 120) + 1.7770849992620845e-05, # (0, 0) + 6.361678460273995e-06, # (0, 90) + 0.00014728635528746644, # (10, 45) + 9.475270206911038e-07, # (20, 120) ] for (freq_idx, dir_idx), expected_val in zip(test_indices, expected_values): @@ -561,9 +561,9 @@ def test_real_world_regression_values_dataset2(self): mean_value = np.mean(result[result > 0]) # Mean of non-zero values # Expected values (computed from current implementation) - expected_total_energy = 3.796532081195266 - expected_max_value = 0.0237655737957158 - expected_mean_nonzero = 0.0005408165357828014 + expected_total_energy = 3.7484928623030283 + expected_max_value = 0.023793139411520763 + expected_mean_nonzero = 0.0005339733422084086 # Test with tight tolerance for numerical precision np.testing.assert_allclose(total_energy, expected_total_energy, rtol=1e-10, @@ -578,8 +578,8 @@ def test_real_world_regression_values_dataset2(self): peak_direction_idx = np.argmax(peak_freq_spectrum) peak_value = peak_freq_spectrum[peak_direction_idx] - expected_peak_value = 0.0237655737957158 - expected_peak_direction_idx = 160 # Direction index where peak occurs + expected_peak_value = 0.023793139411520763 + expected_peak_direction_idx = 153 # Direction index where peak occurs np.testing.assert_allclose(peak_value, expected_peak_value, rtol=1e-10, err_msg="Dataset2: Peak value should match expected value") @@ -596,11 +596,11 @@ def test_real_world_regression_values_dataset2(self): ] expected_values = [ - 0.00012979971269644488, # (0, 0) - 0.00016998854068615924, # (8, 45) - 1.5405259481743667e-05, # (8, 90) - 1.4878006537603e-05, # (15, 120) - 2.0551655355091914e-05, # (30, 60) + 8.746967996651501e-06, # (0, 0) + 1.7955193217159483e-05, # (8, 45) + 0.00015525859898835503, # (8, 90) + 0.0002541624129700038, # (15, 120) + 3.352901354780756e-05, # (30, 60) ] for (freq_idx, dir_idx), expected_val in zip(test_indices, expected_values): @@ -643,9 +643,9 @@ def test_real_world_regression_values_dataset3(self): mean_value = np.mean(result[result > 0]) # Mean of non-zero values # Expected values (computed from current implementation) - expected_total_energy = 1.9407214806299242 - expected_max_value = 0.006680274721347798 - expected_mean_nonzero = 0.00027645605137178406 + expected_total_energy = 1.918813864567803 + expected_max_value = 0.006685444177345408 + expected_mean_nonzero = 0.00027333530834299186 # Test with tight tolerance for numerical precision np.testing.assert_allclose(total_energy, expected_total_energy, rtol=1e-10, @@ -661,8 +661,8 @@ def test_real_world_regression_values_dataset3(self): peak_direction_idx = np.argmax(peak_freq_spectrum) peak_value = peak_freq_spectrum[peak_direction_idx] - expected_peak_value = 0.006680274721347798 - expected_peak_direction_idx = 28 + expected_peak_value = 0.006685444177345408 + expected_peak_direction_idx = 107 np.testing.assert_allclose(peak_value, expected_peak_value, rtol=1e-10, err_msg="Dataset3: Peak value should match expected value") @@ -679,11 +679,11 @@ def test_real_world_regression_values_dataset3(self): ] expected_values = [ - 2.1688225830776163e-06, # (0, 0) - 0.0015228792292005142, # (3, 45) - 8.339385649101882e-05, # (10, 90) - 8.511075197100215e-06, # (20, 120) - 4.55005492564815e-06, # (35, 60) + 8.6419881036956e-07, # (0, 0) + 4.802789983657425e-05, # (3, 45) + 3.674605329592568e-05, # (10, 90) + 0.00022398376261676908, # (20, 120) + 4.3458775851265904e-06, # (35, 60) ] for (freq_idx, dir_idx), expected_val in zip(test_indices, expected_values):