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Plotting-backend #91

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aff200e
ruff format
MitchellAcoustics Oct 29, 2024
1dbea4c
POC of jointplot
MitchellAcoustics Oct 29, 2024
a2ac386
version bump
MitchellAcoustics Oct 29, 2024
b4729eb
Setting up layers architecture
MitchellAcoustics Nov 2, 2024
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23 changes: 12 additions & 11 deletions docs/tutorials/BinauralAnalysis.ipynb
View file
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Original file line number Diff line number Diff line change
Expand Up @@ -59,6 +59,7 @@
"from pathlib import Path\n",
"\n",
"import warnings\n",
"\n",
"warnings.filterwarnings(\"ignore\")"
]
},
Expand Down Expand Up @@ -375,7 +376,9 @@
"binaural_wav = wav_folder.joinpath(\"CT101.wav\")\n",
"decibel = (levels[\"CT101\"][\"Left\"], levels[\"CT101\"][\"Right\"])\n",
"\n",
"single_file_result = analysis.analyze_file(binaural_wav, calibration_levels=decibel, resample=48000)\n",
"single_file_result = analysis.analyze_file(\n",
" binaural_wav, calibration_levels=decibel, resample=48000\n",
")\n",
"single_file_result"
]
},
Expand Down Expand Up @@ -1130,11 +1133,13 @@
"\n",
"start = time.perf_counter()\n",
"\n",
"folder_results = analysis.analyze_folder(wav_folder, calibration_file=levels_file, resample=48000)\n",
"folder_results = analysis.analyze_folder(\n",
" wav_folder, calibration_file=levels_file, resample=48000\n",
")\n",
"\n",
"end = time.perf_counter()\n",
"print(f\"Time taken: {end-start:.2f} seconds\")\n",
"folder_results\n"
"folder_results"
]
},
{
Expand Down Expand Up @@ -1205,13 +1210,7 @@
}
],
"source": [
"new_config = {\n",
" \"PythonAcoustics\": {\n",
" \"LAeq\": {\n",
" \"run\": False\n",
" }\n",
" }\n",
" }\n",
"new_config = {\"PythonAcoustics\": {\"LAeq\": {\"run\": False}}}\n",
"\n",
"analysis.update_config(new_config)\n",
"print(\"Configuration updated\")"
Expand Down Expand Up @@ -2026,7 +2025,9 @@
"start = time.perf_counter()\n",
"\n",
"serial_analysis = AudioAnalysis()\n",
"folder_results = serial_analysis.analyze_folder(wav_folder, calibration_file=levels_file, max_workers=1, resample=48000)\n",
"folder_results = serial_analysis.analyze_folder(\n",
" wav_folder, calibration_file=levels_file, max_workers=1, resample=48000\n",
")\n",
"\n",
"end = time.perf_counter()\n",
"\n",
Expand Down
126 changes: 81 additions & 45 deletions docs/tutorials/HowToAnalyseAndRepresentSoundscapes.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -43,7 +43,8 @@
"import seaborn as sns\n",
"\n",
"import warnings\n",
"warnings.simplefilter('ignore')"
"\n",
"warnings.simplefilter(\"ignore\")"
]
},
{
Expand Down Expand Up @@ -436,9 +437,14 @@
"source": [
"colors = [\"b\", \"r\"]\n",
"palette = sns.color_palette(colors)\n",
"sspy.plotting.scatter_plot(sample_transform, hue=\"RecordID\", palette=palette, diagonal_lines=True, legend=\"brief\",\n",
" s=100\n",
" )"
"sspy.plotting.scatter_plot(\n",
" sample_transform,\n",
" hue=\"RecordID\",\n",
" palette=palette,\n",
" diagonal_lines=True,\n",
" legend=\"brief\",\n",
" s=100,\n",
")"
]
},
{
Expand Down Expand Up @@ -789,12 +795,17 @@
],
"source": [
"location = \"RegentsParkFields\"\n",
"fig, ax = plt.subplots(1,1, figsize=(7, 7))\n",
"fig, ax = plt.subplots(1, 1, figsize=(7, 7))\n",
"\n",
"sspy.plotting.density_plot(sspy.isd.select_location_ids(ssid, location), hue=\"LocationID\",\n",
" title=\"(b) Median perception contour and scatter plot of individual assessments\\n\\n\",\n",
" palette=\"dark:gray\", ax=ax, legend=True, density_type=\"simple\"\n",
" )\n"
"sspy.plotting.density_plot(\n",
" sspy.isd.select_location_ids(ssid, location),\n",
" hue=\"LocationID\",\n",
" title=\"(b) Median perception contour and scatter plot of individual assessments\\n\\n\",\n",
" palette=\"dark:gray\",\n",
" ax=ax,\n",
" legend=True,\n",
" density_type=\"simple\",\n",
")"
]
},
{
Expand Down Expand Up @@ -847,12 +858,17 @@
}
],
"source": [
"fig, ax = plt.subplots(1,1, figsize=(7,7))\n",
"fig, ax = plt.subplots(1, 1, figsize=(7, 7))\n",
"\n",
"sspy.plotting.density_plot(sspy.isd.select_location_ids(ssid, ['CamdenTown', 'RussellSq', 'PancrasLock']),\n",
" hue=\"LocationID\", title=\"(c) Comparison of the soundscapes of three urban spaces\\n\\n\",\n",
" palette=\"husl\", simple_density=True, ax=ax, legend=True\n",
" )"
"sspy.plotting.density_plot(\n",
" sspy.isd.select_location_ids(ssid, [\"CamdenTown\", \"RussellSq\", \"PancrasLock\"]),\n",
" hue=\"LocationID\",\n",
" title=\"(c) Comparison of the soundscapes of three urban spaces\\n\\n\",\n",
" palette=\"husl\",\n",
" simple_density=True,\n",
" ax=ax,\n",
" legend=True,\n",
")"
]
},
{
Expand Down Expand Up @@ -1178,10 +1194,17 @@
}
],
"source": [
"sspy.plotting.density_plot(ssid, hue=\"dBLevel\", title=\"(d) Soundscape perception as a function of sound level\",\n",
" palette=\"colorblind\", incl_scatter=False, diagonal_lines=False, simple_density=True,\n",
" marginal_kind=\"kde\", legend=True\n",
" )"
"sspy.plotting.density_plot(\n",
" ssid,\n",
" hue=\"dBLevel\",\n",
" title=\"(d) Soundscape perception as a function of sound level\",\n",
" palette=\"colorblind\",\n",
" incl_scatter=False,\n",
" diagonal_lines=False,\n",
" simple_density=True,\n",
" marginal_kind=\"kde\",\n",
" legend=True,\n",
")"
]
},
{
Expand Down Expand Up @@ -1255,19 +1278,21 @@
}
],
"source": [
"\n",
"data_list = [sspy.isd.select_location_ids(ssid, location) for location in ssid.LocationID.unique()]\n",
"data_list = [\n",
" sspy.isd.select_location_ids(ssid, location)\n",
" for location in ssid.LocationID.unique()\n",
"]\n",
"fig = sspy.plotting.create_circumplex_subplots(\n",
" data_list,\n",
" plot_type=\"density\",\n",
" nrows=7,\n",
" ncols=4,\n",
" figsize=(12, 21),\n",
" incl_scatter=True,\n",
" subtitles=ssid.LocationID.unique()\n",
" )\n",
" data_list,\n",
" plot_type=\"density\",\n",
" nrows=7,\n",
" ncols=4,\n",
" figsize=(12, 21),\n",
" incl_scatter=True,\n",
" subtitles=ssid.LocationID.unique(),\n",
")\n",
"\n",
"plt.show()\n"
"plt.show()"
]
},
{
Expand Down Expand Up @@ -1319,10 +1344,16 @@
}
],
"source": [
"sspy.plotting.density_plot(sspy.isd.select_location_ids(ssid, location_ids=\"RegentsParkFields\"), hue=\"SessionID\",\n",
" title=\"Comparison of two days in Regents Park\", fill=False, incl_outline=True,\n",
" incl_scatter=True, simple_density=True, legend=True\n",
" )"
"sspy.plotting.density_plot(\n",
" sspy.isd.select_location_ids(ssid, location_ids=\"RegentsParkFields\"),\n",
" hue=\"SessionID\",\n",
" title=\"Comparison of two days in Regents Park\",\n",
" fill=False,\n",
" incl_outline=True,\n",
" incl_scatter=True,\n",
" simple_density=True,\n",
" legend=True,\n",
")"
]
},
{
Expand Down Expand Up @@ -1367,19 +1398,22 @@
}
],
"source": [
"data_list = [sspy.isd.select_location_ids(ssid, location) for location in ssid[\"LocationID\"].unique()]\n",
"data_list = [\n",
" sspy.isd.select_location_ids(ssid, location)\n",
" for location in ssid[\"LocationID\"].unique()\n",
"]\n",
"\n",
"fig = sspy.plotting.create_circumplex_subplots(\n",
" data_list,\n",
" plot_type=\"simple_density\",\n",
" nrows=7,\n",
" ncols=4,\n",
" figsize=(12, 21),\n",
" incl_scatter=True,\n",
" subtitles=ssid[\"LocationID\"].unique(),\n",
" hue = \"SessionID\",\n",
" fill = False,\n",
" )\n",
" data_list,\n",
" plot_type=\"simple_density\",\n",
" nrows=7,\n",
" ncols=4,\n",
" figsize=(12, 21),\n",
" incl_scatter=True,\n",
" subtitles=ssid[\"LocationID\"].unique(),\n",
" hue=\"SessionID\",\n",
" fill=False,\n",
")\n",
"plt.show()"
]
},
Expand Down Expand Up @@ -2238,7 +2272,9 @@
"source": [
"means = sspy.surveys.survey_utils.mean_responses(ssid, group=\"LocationID\")\n",
"means = sspy.surveys.add_iso_coords(means, overwrite=True)\n",
"sspy.plotting.scatter_plot(means, hue=\"LocationID\", xlim=(-0.25, 0.75), ylim=(-0.25, 0.75), s=40, legend=False)\n"
"sspy.plotting.scatter_plot(\n",
" means, hue=\"LocationID\", xlim=(-0.25, 0.75), ylim=(-0.25, 0.75), s=40, legend=False\n",
")"
]
}
],
Expand Down
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