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Allow export_report to run without waveforms #3493

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merged 4 commits into from
Nov 4, 2024
+68 −53
Merged

Allow export_report to run without waveforms #3493

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b62e02b
export_report without waveforms
chrishalcrow Oct 21, 2024
7c953c2
Respond to Joe; add template_similarity check
chrishalcrow Oct 29, 2024
2faed13
Remove the need of template_similarity extension for autocorrelogram …
alejoe91 Nov 4, 2024
d337001
Merge branch 'main' into report_without_waveforms
chrishalcrow Nov 4, 2024
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44 changes: 26 additions & 18 deletions src/spikeinterface/widgets/unit_summary.py
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Original file line number Diff line number Diff line change
Expand Up @@ -107,15 +107,18 @@ def plot_matplotlib(self, data_plot, **backend_kwargs):
# and use custum grid spec
fig = self.figure
nrows = 2
ncols = 3
ncols = 2
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if sorting_analyzer.has_extension("correlograms") or sorting_analyzer.has_extension("spike_amplitudes"):
ncols += 1
if sorting_analyzer.has_extension("waveforms"):
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ncols += 1
if sorting_analyzer.has_extension("spike_amplitudes"):
nrows += 1
gs = fig.add_gridspec(nrows, ncols)
col_counter = 0

if sorting_analyzer.has_extension("unit_locations"):
ax1 = fig.add_subplot(gs[:2, 0])
ax1 = fig.add_subplot(gs[:2, col_counter])
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# UnitLocationsPlotter().do_plot(dp.plot_data_unit_locations, ax=ax1)
w = UnitLocationsWidget(
sorting_analyzer,
Expand All @@ -126,6 +129,7 @@ def plot_matplotlib(self, data_plot, **backend_kwargs):
ax=ax1,
**unitlocationswidget_kwargs,
)
col_counter = col_counter + 1

unit_locations = sorting_analyzer.get_extension("unit_locations").get_data(outputs="by_unit")
unit_location = unit_locations[unit_id]
Expand All @@ -136,37 +140,41 @@ def plot_matplotlib(self, data_plot, **backend_kwargs):
ax1.set_xlabel(None)
ax1.set_ylabel(None)

ax2 = fig.add_subplot(gs[:2, 1])
ax2 = fig.add_subplot(gs[:2, col_counter])
w = UnitWaveformsWidget(
sorting_analyzer,
unit_ids=[unit_id],
unit_colors=unit_colors,
plot_templates=True,
plot_waveforms=sorting_analyzer.has_extension("waveforms"),
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same_axis=True,
plot_legend=False,
sparsity=sparsity,
backend="matplotlib",
ax=ax2,
**unitwaveformswidget_kwargs,
)
col_counter = col_counter + 1

ax2.set_title(None)

ax3 = fig.add_subplot(gs[:2, 2])
UnitWaveformDensityMapWidget(
sorting_analyzer,
unit_ids=[unit_id],
unit_colors=unit_colors,
use_max_channel=True,
same_axis=False,
backend="matplotlib",
ax=ax3,
**unitwaveformdensitymapwidget_kwargs,
)
ax3.set_ylabel(None)
if sorting_analyzer.has_extension("waveforms"):
ax3 = fig.add_subplot(gs[:2, col_counter])
UnitWaveformDensityMapWidget(
sorting_analyzer,
unit_ids=[unit_id],
unit_colors=unit_colors,
use_max_channel=True,
same_axis=False,
backend="matplotlib",
ax=ax3,
**unitwaveformdensitymapwidget_kwargs,
)
ax3.set_ylabel(None)
col_counter = col_counter + 1
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if sorting_analyzer.has_extension("correlograms"):
ax4 = fig.add_subplot(gs[:2, 3])
ax4 = fig.add_subplot(gs[:2, col_counter])
AutoCorrelogramsWidget(
sorting_analyzer,
unit_ids=[unit_id],
Expand All @@ -180,8 +188,8 @@ def plot_matplotlib(self, data_plot, **backend_kwargs):
ax4.set_yticks([])

if sorting_analyzer.has_extension("spike_amplitudes"):
ax5 = fig.add_subplot(gs[2, :3])
ax6 = fig.add_subplot(gs[2, 3])
ax5 = fig.add_subplot(gs[2, :col_counter])
ax6 = fig.add_subplot(gs[2, col_counter])
axes = np.array([ax5, ax6])
AmplitudesWidget(
sorting_analyzer,
Expand Down