123 lines
2.9 KiB
Plaintext
123 lines
2.9 KiB
Plaintext
---
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title: Calibration
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---
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### Calibration of the Amplitude
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```{python}
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import rlxnix as rlx
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import plotly.graph_objects as go
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import numpy as np
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from plotly.subplots import make_subplots
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dataset = rlx.Dataset("../oephys2nix/test/Test1/2025-10-08-aa-invivo-2-recording.nix")
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relacs = rlx.Dataset("../oephys2nix/test/Test1/2025-10-08-aa-invivo-2_relacs/2025-10-08-aa-invivo-2.nix")
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repro_d = dataset.repro_runs("CalibEfield_1")[0]
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repro_r = relacs.repro_runs("CalibEfield_1")[0]
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fig = make_subplots(
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rows=4,
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cols=1,
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shared_xaxes=True,
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subplot_titles=(
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"Stimulus Comparison",
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"Local EOD Comparison",
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"Global EOD Comparison",
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"Sinus Comparison",
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),)
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sinus, t = repro_d.trace_data("sinus")
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sinus_r, t_r = repro_r.trace_data("V-1")
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stimulus_oe, t = repro_d.trace_data("stimulus")
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stimulus_re, t_r = repro_r.trace_data("GlobalEFieldStimulus")
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local_eod_oe, t = repro_d.trace_data("local-eod")
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local_eod_re, t_r = repro_r.trace_data("LocalEOD-1")
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global_eod_oe, t = repro_d.trace_data("global-eod")
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global_eod_re, t_r = repro_r.trace_data("EOD")
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ttl, t = repro_d.trace_data("ttl-line")
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# 2. Add traces to the FIRST subplot (row=1, col=1)
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# Note: Plotly rows and columns are 1-indexed
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fig.add_trace(
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go.Scatter(x=t_r, y=stimulus_re, name="stimulus (relacs)", line_color="blue"),
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row=1,
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col=1,
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)
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fig.add_trace(
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go.Scatter(
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x=t,
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y=stimulus_oe - np.mean(stimulus_oe), # The same data transformation
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name="stimulus (open-ephys)",
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line_color="red",
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),
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row=1,
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col=1,
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)
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fig.add_trace(
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go.Scatter(x=t, y=ttl, name="ttl-line", line_color="black"),
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row=1,
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col=1,
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)
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# 3. Add traces to the SECOND subplot (row=2, col=1)
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fig.add_trace(
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go.Scatter(x=t_r, y=local_eod_re, name="local EOD (relacs)", line_color="blue"),
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row=2,
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col=1,
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)
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fig.add_trace(
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go.Scatter(x=t, y=local_eod_oe, name="local EOD (open-ephys)", line_color="red"),
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row=2,
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col=1,
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)
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# 4. Add traces to the THIRD subplot (row=3, col=1)
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fig.add_trace(
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go.Scatter(x=t_r, y=global_eod_re, name="global EOD (relacs)", line_color="blue"),
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row=3,
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col=1,
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)
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fig.add_trace(
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go.Scatter(
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x=t, y=global_eod_oe, name="global EOD (open-ephys)", line_color="red"
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),
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row=3,
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col=1,
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)
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# 5. Add traces to the FOURTH subplot (row=4, col=1)
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fig.add_trace(
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go.Scatter(x=t_r, y=sinus_r, name="sinus (relacs)", line_color="blue"),
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row=4,
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col=1,
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)
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fig.add_trace(
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go.Scatter(x=t, y=sinus, name="sinus (open-ephys)", line_color="red"),
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row=4,
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col=1,
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)
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# 6. Update the layout for a cleaner look
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fig.update_layout(
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title_text="Relacs vs. Open Ephys Data Alignment",
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height=800, # Set the figure height in pixels
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# Control the legend
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legend=dict(orientation="h", yanchor="bottom", y=1.02, xanchor="right", x=1),
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)
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# Add a label to the shared x-axis (targeting the last subplot)
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fig.update_xaxes(title_text="Time (s)", row=4, col=1)
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# 7. Show the figure
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fig.show()
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```
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