From f0280f7028259065e1ed5b2ba153f20edcdfe0d6 Mon Sep 17 00:00:00 2001 From: Georg Raiser Date: Wed, 4 Dec 2024 11:42:42 +0000 Subject: [PATCH] setting up CI for the repo (#33) * making test_plots.py independent from ONE * removing outdated examples * analysis folder added to gitignore * more ruffing * CI adjust * CI adjust 2 * CI adjust 3 * fixing requirements to include develop branch of ibllib and iblrig * and now correctly formatted * adding data from kcenia, changing stimOn_times key. Very unclear why as of now * removed python 3.11 * fix test plots import base tests * CI for unit tests * ruff --------- Co-authored-by: owinter --- .../{python-package.yaml => run_tests.yaml} | 12 +- .gitignore | 3 +- requirements.txt | 4 +- src/examples/example_raw_npdata_plot.py | 31 -- src/examples/photometry_exploration.ipynb | 274 ----------------- .../photometry_exploration_kcenia.ipynb | 227 -------------- src/gui/rawdata_visualizer.py | 7 - src/iblphotometry/loaders.py | 4 +- src/iblphotometry/pipelines.py | 4 - src/iblphotometry/plots.py | 4 +- src/iblphotometry_tests/base_tests.py | 2 + .../data/_ibl_trials.table.pqt | Bin 0 -> 68620 bytes .../data/raw_photometry.pqt | Bin 0 -> 2372560 bytes src/iblphotometry_tests/test_loaders.py | 1 - src/iblphotometry_tests/test_metrics.py | 1 - src/iblphotometry_tests/test_pipelines.py | 1 - src/iblphotometry_tests/test_plots.py | 290 +++++++++--------- 17 files changed, 158 insertions(+), 707 deletions(-) rename .github/workflows/{python-package.yaml => run_tests.yaml} (79%) delete mode 100644 src/examples/example_raw_npdata_plot.py delete mode 100644 src/examples/photometry_exploration.ipynb delete mode 100644 src/examples/photometry_exploration_kcenia.ipynb create mode 100644 src/iblphotometry_tests/data/_ibl_trials.table.pqt create mode 100755 src/iblphotometry_tests/data/raw_photometry.pqt diff --git a/.github/workflows/python-package.yaml b/.github/workflows/run_tests.yaml similarity index 79% rename from .github/workflows/python-package.yaml rename to .github/workflows/run_tests.yaml index c539367..b800c97 100644 --- a/.github/workflows/python-package.yaml +++ b/.github/workflows/run_tests.yaml @@ -22,17 +22,19 @@ jobs: name: ruff format with: args: 'format --check' - build: - runs-on: ubuntu-latest + tests: + name: unit tests (${{ matrix.python-version }}, ${{ matrix.os }}) + runs-on: ${{ matrix.os }} strategy: fail-fast: false + max-parallel: 6 matrix: - python-version: ["3.10"] - + os: ["ubuntu-latest", "windows-latest", "macos-latest"] + python-version: ["3.10", "3.12"] steps: - uses: actions/checkout@v4 - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v3 + uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} - name: Install deps diff --git a/.gitignore b/.gitignore index 4f1fac9..d5401f8 100644 --- a/.gitignore +++ b/.gitignore @@ -162,4 +162,5 @@ cython_debug/ #.idea/ # local scripts -src/local \ No newline at end of file +src/local +src/analysis diff --git a/requirements.txt b/requirements.txt index 1313c5b..30149db 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,6 +1,6 @@ -ibllib +ibllib @ git+https://github.com/int-brain-lab/ibllib@develop numpy matplotlib pytest scipy -pandera \ No newline at end of file +pandera diff --git a/src/examples/example_raw_npdata_plot.py b/src/examples/example_raw_npdata_plot.py deleted file mode 100644 index 9a77602..0000000 --- a/src/examples/example_raw_npdata_plot.py +++ /dev/null @@ -1,31 +0,0 @@ -from iblphotometry.io import from_raw_neurophotometrics -import iblphotometry.plots as plots -from pathlib import Path -import matplotlib.pyplot as plt - -subject_path = Path('/Users/gaellechapuis/Downloads/') - -## -pqt_file_g = subject_path.joinpath('_neurophotometrics_fpData.raw.pqt') -td = from_raw_neurophotometrics(pqt_file_g) - -## -column = 'G0' -raw_signal = td['GCaMP'][column].d -times = td['GCaMP'].t -raw_isosbestic = td['Isosbestic'][column].d - -# Preprocess signal TODO change to use the proper pipeline -import iblphotometry.preprocessing as ffpr -import numpy as np - -fs = 1 / np.nanmedian(np.diff(times)) -processed_signal = ffpr.mad_raw_signal(raw_signal, fs) - -plotobj = plots.PlotSignal(raw_signal, times, raw_isosbestic, processed_signal) - -# Use this magic command in the python terminal -# %matplotlib qt5 - -plotobj.raw_processed_figure2() -plt.show() diff --git a/src/examples/photometry_exploration.ipynb b/src/examples/photometry_exploration.ipynb deleted file mode 100644 index 5c7745b..0000000 --- a/src/examples/photometry_exploration.ipynb +++ /dev/null @@ -1,274 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "# just here\n", - "%load_ext autoreload\n", - "%autoreload 2" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# imports\n", - "import pandas as pd\n", - "import pynapple as nap\n", - "import matplotlib.pyplot as plt\n", - "import iblphotometry.loaders as loaders\n", - "import iblphotometry.plots as plots" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# ONE instantiation\n", - "from one.api import ONE\n", - "\n", - "one = ONE(base_url='https://alyx.internationalbrainlab.org', mode='remote')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# load data via data_loader\n", - "eids = one.search(dataset='photometry.signal.pqt', lab='wittenlab')\n", - "eid = eids[2]\n", - "\n", - "data_loader = loaders.PhotometryLoader(one)\n", - "raw_photometry = data_loader.load_photometry_data(eid, signal='GCaMP')\n", - "trials = data_loader.load_trials_table(eid)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from iblphotometry.outlier_detection import remove_spikes\n", - "from iblphotometry.bleach_corrections import lowpass_bleachcorrect\n", - "from iblphotometry.sliding_operations import sliding_mad\n", - "from iblphotometry.pipelines import run_pipeline\n", - "\n", - "pipeline = [\n", - " (remove_spikes, dict(sd=5)),\n", - " (\n", - " lowpass_bleachcorrect,\n", - " dict(\n", - " correction_method='subtract-divide',\n", - " filter_params=dict(N=3, Wn=0.01, btype='lowpass'),\n", - " ),\n", - " ),\n", - " (sliding_mad, dict(w_len=120, overlap=90)),\n", - "]\n", - "\n", - "# run pipeline\n", - "photometry = run_pipeline(raw_photometry, pipeline, on_columns=True)\n", - "data_loader.get_mappable(eid)\n", - "# photometry" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# view a short snippet\n", - "interval = nap.IntervalSet(start=10, end=20)\n", - "plots.plot_TsdFrame(photometry.restrict(interval))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# plot psths\n", - "region = 'Region0G'\n", - "plots.plot_psth(photometry[region], trials, event='feedback_times', split_by='choice')" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# KCENIA / isosbestic specific\n", - "from one.api import ONE\n", - "\n", - "one = ONE(cache_dir='/mnt/h0/kb/data/one')\n", - "data_loader = loaders.KceniaLoader(one)\n", - "df = pd.read_csv('/home/georg/code/ibl-photometry/src/local/website.csv')\n", - "eids = list(df['eid'])[:20] # <- debug" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(
,\n", - " {'top': ,\n", - " 'left': ,\n", - " 'right': })" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "pid, pname = data_loader.eid2pid(eids[14])\n", - "raw_photometry = data_loader.load_photometry_data(pid=pid[0])\n", - "plots.plot_isosbestic_overview(\n", - " raw_photometry['raw_calcium'], raw_photometry['raw_isosbestic']\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/georg/code/ibl-photometry/src/iblphotometry/pipelines.py:26: DeprecationWarning: __array__ implementation doesn't accept a copy keyword, so passing copy=False failed. __array__ must implement 'dtype' and 'copy' keyword arguments.\n", - " d_[:, i] = pipe_func(Fc[col], **pipe_args)\n", - "/home/georg/code/ibl-photometry/src/iblphotometry/pipelines.py:26: DeprecationWarning: __array__ implementation doesn't accept a copy keyword, so passing copy=False failed. __array__ must implement 'dtype' and 'copy' keyword arguments.\n", - " d_[:, i] = pipe_func(Fc[col], **pipe_args)\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from iblphotometry.outlier_detection import remove_spikes\n", - "from iblphotometry.bleach_corrections import lowpass_bleachcorrect\n", - "from iblphotometry.bleach_corrections import isosbestic_correct\n", - "from iblphotometry.sliding_operations import sliding_mad\n", - "from iblphotometry.pipelines import run_pipeline\n", - "\n", - "pipeline = [\n", - " (remove_spikes, dict(sd=5)),\n", - " # (lowpass_bleachcorrect, dict(filter_params=dict(N=3, Wn=0.01, btype='lowpass'))),\n", - " (\n", - " isosbestic_correct,\n", - " dict(\n", - " on_columns=False,\n", - " signal_name='raw_calcium',\n", - " reference_name='raw_isosbestic',\n", - " correction_method='subtract-divide',\n", - " # regression_method='huber',\n", - " lowpass_isosbestic=dict(N=3, Wn=0.01, btype='lowpass'),\n", - " ),\n", - " ),\n", - " # (sliding_mad, dict(w_len=120,overlap=90)),\n", - "]\n", - "\n", - "# run pipeline\n", - "photometry = run_pipeline(raw_photometry, pipeline)\n", - "plots.plot_Tsd(photometry)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# from iblphotometry.bleach_corrections import IsosbesticCorrection\n", - "# iso = IsosbesticCorrection()\n", - "# tsd = iso.correct(raw_photometry['raw_isosbestic'], raw_photometry['raw_calcium'])\n", - "raw_photometry = data_loader.load_photometry_data(pid=pid[0])\n", - "# plt.plot(raw_photometry['raw_isosbestic'])\n", - "raw_photometry = data_loader.load_photometry_data(pid=pid[0])\n", - "plt.plot(raw_photometry['raw_isosbestic'].d, raw_photometry['raw_calcium'].d, '.')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "ibl", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.7" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/src/examples/photometry_exploration_kcenia.ipynb b/src/examples/photometry_exploration_kcenia.ipynb deleted file mode 100644 index 11c32e3..0000000 --- a/src/examples/photometry_exploration_kcenia.ipynb +++ /dev/null @@ -1,227 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The autoreload extension is already loaded. To reload it, use:\n", - " %reload_ext autoreload\n" - ] - } - ], - "source": [ - "# just here\n", - "%load_ext autoreload\n", - "%autoreload 2" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/georg/code/ONE/one/alf/files.py:10: FutureWarning: `one.alf.files` will be removed in version 3.0. Use `one.alf.path` instead.\n", - " warnings.warn(\n" - ] - } - ], - "source": [ - "# imports\n", - "import pandas as pd\n", - "import pynapple as nap\n", - "import iblphotometry.loaders as loaders\n", - "import iblphotometry.plots as plots" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# KCENIA / isosbestic specific\n", - "from one.api import ONE\n", - "\n", - "one = ONE(cache_dir='/mnt/h0/kb/data/one')\n", - "data_loader = loaders.KceniaLoader(one, verbose=True)\n", - "df = pd.read_csv('/home/georg/code/ibl-photometry/src/local/website.csv')\n", - "eids = list(df['eid'])" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "available signal bands: ['raw_calcium', 'raw_isosbestic']\n", - "available brain regions: ['Region4G']\n" - ] - } - ], - "source": [ - "eid = eids[4]\n", - "eid = 'b7b186ee-1b36-4b1a-ae15-70078c472f97'\n", - "raw_photometry, brain_regions = data_loader.load_photometry_data(\n", - " eid, return_regions=True\n", - ")\n", - "trials = one.load_dataset(eid, '*trials.table')" - ] - }, - { - "cell_type": "code", - "execution_count": 78, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/georg/code/ibl-photometry/src/iblphotometry/pipelines.py:54: DeprecationWarning: __array__ implementation doesn't accept a copy keyword, so passing copy=False failed. __array__ must implement 'dtype' and 'copy' keyword arguments.\n", - " _d[:, i] = pipe_func(Fc[col], **pipe_args)\n", - "/home/georg/code/ibl-photometry/src/iblphotometry/pipelines.py:54: DeprecationWarning: __array__ implementation doesn't accept a copy keyword, so passing copy=False failed. __array__ must implement 'dtype' and 'copy' keyword arguments.\n", - " _d[:, i] = pipe_func(Fc[col], **pipe_args)\n", - "/home/georg/code/ibl-photometry/src/iblphotometry/pipelines.py:54: DeprecationWarning: __array__ implementation doesn't accept a copy keyword, so passing copy=False failed. __array__ must implement 'dtype' and 'copy' keyword arguments.\n", - " _d[:, i] = pipe_func(Fc[col], **pipe_args)\n", - "/home/georg/code/ibl-photometry/src/iblphotometry/pipelines.py:54: DeprecationWarning: __array__ implementation doesn't accept a copy keyword, so passing copy=False failed. __array__ must implement 'dtype' and 'copy' keyword arguments.\n", - " _d[:, i] = pipe_func(Fc[col], **pipe_args)\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 78, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from iblphotometry.outlier_detection import remove_spikes\n", - "from iblphotometry.bleach_corrections import lowpass_bleachcorrect\n", - "from iblphotometry.sliding_operations import sliding_mad\n", - "from iblphotometry.helpers import zscore\n", - "from iblphotometry.pipelines import run_pipeline\n", - "\n", - "# pipeline = [\n", - "# (remove_spikes, dict(sd=5)),\n", - "# # (lowpass_bleachcorrect, dict(filter_params=dict(N=3, Wn=0.01, btype='lowpass'))),\n", - "# (isosbestic_correct, dict(on_columns=False,\n", - "# signal_name='raw_calcium',\n", - "# reference_name='raw_isosbestic',\n", - "# correction_method='subtract-divide',\n", - "# # regression_method='huber',\n", - "# lowpass_isosbestic=dict(N=3, Wn=0.01, btype='lowpass')),),\n", - "# # (sliding_mad, dict(w_len=120,overlap=90)),\n", - "\n", - "# ]\n", - "\n", - "pipeline = [\n", - " (remove_spikes, dict(sd=5)),\n", - " (lowpass_bleachcorrect, dict(filter_params=dict(N=3, Wn=0.01, btype='lowpass'))),\n", - " (sliding_mad, dict(w_len=120, overlap=90)),\n", - " (zscore, dict(mode='median')),\n", - "]\n", - "\n", - "# run pipeline\n", - "# restrict raw photometry to time within a session +- 10s\n", - "session_start_time = trials['intervals_0'].values[0] - 10\n", - "session_end_time = trials['intervals_1'].values[-1] + 10\n", - "interval = nap.IntervalSet(start=session_start_time, end=session_end_time)\n", - "_photometry = raw_photometry['raw_calcium'].restrict(interval)\n", - "\n", - "photometry = run_pipeline(pipeline, _photometry)\n", - "plots.plot_TsdFrame(photometry)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([,\n", - " ], dtype=object)" - ] - }, - "execution_count": 81, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# psth on reward split by outcome\n", - "plots.plot_psth(\n", - " photometry[brain_regions[0]],\n", - " trials,\n", - " event='feedback_times',\n", - " split_by='feedbackType',\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "ibl", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.7" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/src/gui/rawdata_visualizer.py b/src/gui/rawdata_visualizer.py index cbb6281..e16a881 100644 --- a/src/gui/rawdata_visualizer.py +++ b/src/gui/rawdata_visualizer.py @@ -1,6 +1,4 @@ import sys -import pandas as pd -import matplotlib.pyplot as plt from PyQt5.QtWidgets import ( QApplication, QWidget, @@ -8,23 +6,18 @@ QHBoxLayout, QPushButton, QFileDialog, - QTableWidget, - QTableWidgetItem, QComboBox, QGridLayout, QLineEdit, ) -from PyQt5.QtCore import Qt from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas from matplotlib.backends.backend_qt5 import NavigationToolbar2QT as NavigationToolbar -from pydantic.v1 import NoneStr from iblphotometry.io import from_raw_neurophotometrics import iblphotometry.plots as plots import iblphotometry.preprocessing as ffpr import numpy as np -from matplotlib.colorbar import Colorbar class DataFrameVisualizerApp(QWidget): diff --git a/src/iblphotometry/loaders.py b/src/iblphotometry/loaders.py index ce683a4..15b6158 100644 --- a/src/iblphotometry/loaders.py +++ b/src/iblphotometry/loaders.py @@ -12,7 +12,7 @@ def __init__(self, one, verbose=False): self.one = one self.verbose = verbose - def load_photometry_data(self, eid=None, pid=None, rename=True) -> nap.TsdFrame: + def load_photometry_data(self, eid=None, pid=None, rename=True) -> pd.DataFrame: if pid is not None: raise NotImplementedError # return self._load_data_from_pid(pid) @@ -20,7 +20,7 @@ def load_photometry_data(self, eid=None, pid=None, rename=True) -> nap.TsdFrame: if eid is not None: return self._load_data_from_eid(eid, rename=rename) - def _load_data_from_eid(self, eid, rename=True) -> nap.TsdFrame: + def _load_data_from_eid(self, eid, rename=True) -> pd.DataFrame: raw_photometry_df = self.one.load_dataset(eid, 'photometry.signal.pqt') locations_df = self.one.load_dataset(eid, 'photometryROI.locations.pqt') read_config = dict( diff --git a/src/iblphotometry/pipelines.py b/src/iblphotometry/pipelines.py index 72bcfa4..85cf9b9 100644 --- a/src/iblphotometry/pipelines.py +++ b/src/iblphotometry/pipelines.py @@ -2,11 +2,8 @@ import numpy as np import pandas as pd -from iblphotometry.helpers import z, filt # from ibldsp.utils import WindowGenerator -from iblphotometry import sliding_operations -from iblphotometry import bleach_corrections from iblphotometry.outlier_detection import remove_spikes from iblphotometry.bleach_corrections import lowpass_bleachcorrect, isosbestic_correct from iblphotometry.sliding_operations import sliding_mad @@ -15,7 +12,6 @@ from iblphotometry.helpers import zscore import logging -from copy import copy logger = logging.getLogger() diff --git a/src/iblphotometry/plots.py b/src/iblphotometry/plots.py index f05257c..eb67168 100644 --- a/src/iblphotometry/plots.py +++ b/src/iblphotometry/plots.py @@ -17,7 +17,7 @@ PSTH_EVENTS = { 'feedback_times': 'Feedback', - 'stimOnTrigger_times': 'Stim on', + 'stimOn_times': 'Stim on', 'firstMovement_times': 'First move', } @@ -209,7 +209,7 @@ def plot_trialsort_psth(self): fig.tight_layout() return fig, axs - def plot_processed_trialtick(self, event_key='stimOnTrigger_times'): + def plot_processed_trialtick(self, event_key='stimOn_times'): fig, ax = plt.subplots(1, 1) plt.figure(figsize=(10, 6)) events = self.trials[event_key] diff --git a/src/iblphotometry_tests/base_tests.py b/src/iblphotometry_tests/base_tests.py index b67677f..f9f3bf7 100644 --- a/src/iblphotometry_tests/base_tests.py +++ b/src/iblphotometry_tests/base_tests.py @@ -17,6 +17,8 @@ def get_fixtures() -> dict: / session_folder / Path('raw_photometry_data/_neurophotometrics_fpData.raw.pqt'), 'raw_neurophotometrics_csv': data_folder / 'raw_photometry.csv', + 'raw_kcenia_pqt': data_folder / 'raw_photometry.pqt', + 'trials_table_kcenia_pqt': data_folder / '_ibl_trials.table.pqt', 'trials_table_pqt': data_folder / session_folder / 'alf/_ibl_trials.table.pqt', } diff --git a/src/iblphotometry_tests/data/_ibl_trials.table.pqt b/src/iblphotometry_tests/data/_ibl_trials.table.pqt new file mode 100644 index 0000000000000000000000000000000000000000..00170c8862363abbe59d76b629e36f954f9527a0 GIT binary patch literal 68620 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PhotometryDataTestCase diff --git a/src/iblphotometry_tests/test_metrics.py b/src/iblphotometry_tests/test_metrics.py index 7985f82..10478aa 100644 --- a/src/iblphotometry_tests/test_metrics.py +++ b/src/iblphotometry_tests/test_metrics.py @@ -1,4 +1,3 @@ -import unittest import iblphotometry.io as fio import iblphotometry.metrics as metrics import pandas as pd diff --git a/src/iblphotometry_tests/test_pipelines.py b/src/iblphotometry_tests/test_pipelines.py index 689bcce..fdb25a7 100644 --- a/src/iblphotometry_tests/test_pipelines.py +++ b/src/iblphotometry_tests/test_pipelines.py @@ -1,4 +1,3 @@ -import unittest from pathlib import Path import iblphotometry.io as fio from iblphotometry.pipelines import ( diff --git a/src/iblphotometry_tests/test_plots.py b/src/iblphotometry_tests/test_plots.py index cd500a1..6c08595 100644 --- a/src/iblphotometry_tests/test_plots.py +++ b/src/iblphotometry_tests/test_plots.py @@ -1,18 +1,18 @@ import pandas as pd from pathlib import Path -from one.api import ONE + import numpy as np +import matplotlib.pyplot as plt + from iblphotometry.behavior import psth, psth_times import iblphotometry.plots as plots from iblphotometry.synthetic import synthetic101 -import matplotlib.pyplot as plt - -# TODO fix import once processing settled import iblphotometry.preprocessing as ffpr +from iblphotometry_tests.base_tests import PhotometryDataTestCase # Set the seed np.random.seed(seed=0) -one = ONE() +# one = ONE() DATA_PATH = Path(__file__).parent / 'data' """ @@ -22,173 +22,165 @@ """ -def get_synthetic_data(): - fs = 50 - df_nph, t_events = synthetic101(fs=50) - # Get signal and process it - df_nph['signal_processed'] = ffpr.mad_raw_signal( - df_nph['raw_calcium'].values, fs=fs - ) - return df_nph, t_events, fs - +class TestPlotters(PhotometryDataTestCase): + def get_synthetic_data(self): + fs = 50 + df_nph, t_events = synthetic101(fs=50) + # Get signal and process it + df_nph['signal_processed'] = ffpr.mad_raw_signal( + df_nph['raw_calcium'].values, fs=fs + ) + return df_nph, t_events, fs + + def get_test_data(self): + """ + This is a throw-away loader function to help testing the plotting functions + """ + # --- Use real data for test --- + event = 'feedback_times' + # eid = '77a6741c-81cc-475f-9454-a9b997be02a4' # Good response to feedback times + # pname = 'Region3G' + # nph_path = DATA_PATH.joinpath(Path(f'{eid}/{pname}')) + # one = ONE() + + # Load NP file locally + # df_nph = pd.read_parquet(nph_path.joinpath('raw_photometry.pqt')) + df_nph = pd.read_parquet(self.paths['raw_kcenia_pqt']) + # Load trial from ONE + # a = one.load_object(eid, 'trials') + # df_trials = a.to_df() + df_trials = pd.read_parquet(self.paths['trials_table_kcenia_pqt']) + # Get event + t_events = df_trials[event] + + # Ugly way to get sampling frequency + time_diffs = df_nph['times'].diff().dropna() + fs = 1 / time_diffs.median() + + # Get signal and process it + df_nph['signal_processed'] = ffpr.mad_raw_signal( + df_nph['raw_calcium'].values, fs=fs + ) + + return df_nph, t_events, fs -def get_test_data(): """ - This is a throw-away loader function to help testing the plotting functions + ------------------------------------------------ + TEST: Loader objects for plotting + ------------------------------------------------ """ - # --- Use real data for test --- - event = 'feedback_times' - eid = '77a6741c-81cc-475f-9454-a9b997be02a4' # Good response to feedback times - pname = 'Region3G' - nph_path = DATA_PATH.joinpath(Path(f'{eid}/{pname}')) - one = ONE() - - # Load NP file locally - df_nph = pd.read_parquet(nph_path.joinpath('raw_photometry.pqt')) - - # Load trial from ONE - a = one.load_object(eid, 'trials') - df_trials = a.to_df() - # Get event - t_events = df_trials[event] - - # Ugly way to get sampling frequency - time_diffs = df_nph['times'].diff().dropna() - fs = 1 / time_diffs.median() - - # Get signal and process it - df_nph['signal_processed'] = ffpr.mad_raw_signal( - df_nph['raw_calcium'].values, fs=fs - ) - - return df_nph, t_events, fs - - -""" ------------------------------------------------- -TEST: Loader objects for plotting ------------------------------------------------- -""" - - -def test_class_plotsignal(): - # --- Use real data for test --- - df_nph, _, fs = get_test_data() - - raw_signal = df_nph['raw_calcium'].values - raw_isosbestic = df_nph['raw_isosbestic'].values - processed_signal = df_nph['signal_processed'].values - times = df_nph['times'].values - - plotobj = plots.PlotSignal(raw_signal, times, raw_isosbestic, processed_signal) - plotobj.raw_processed_figure() - plt.close('all') - - -def test_class_plotsignalresponse(): - # --- Use real data for test --- - df_nph, _, fs = get_test_data() - processed_signal = df_nph['signal_processed'].values - times = df_nph['times'].values - # Load trial from ONE - eid = '77a6741c-81cc-475f-9454-a9b997be02a4' - trials = one.load_object(eid, 'trials') - - plotobj = plots.PlotSignalResponse(trials, processed_signal, times) - plotobj.plot_trialsort_psth() - plotobj.plot_processed_trialtick() - plt.close('all') - - -""" ------------------------------------------------- -TEST: Plotting functions requiring FF signals only ------------------------------------------------- -""" - -def test_plot_raw_signals(): - for test_case in ['synt', 'real']: - match test_case: - case 'synt': - # --- Use real data for test --- - df_nph, _, fs = get_test_data() - case 'real': - # --- Use synthetic data for test --- - df_nph, _, fs = get_synthetic_data() + def test_class_plotsignal(self): + # --- Use real data for test --- + df_nph, _, fs = self.get_test_data() raw_signal = df_nph['raw_calcium'].values raw_isosbestic = df_nph['raw_isosbestic'].values + processed_signal = df_nph['signal_processed'].values times = df_nph['times'].values - plots.plot_raw_signals(raw_signal, times, raw_isosbestic) + plotobj = plots.PlotSignal(raw_signal, times, raw_isosbestic, processed_signal) + plotobj.raw_processed_figure() plt.close('all') + def test_class_plotsignalresponse(self): + # --- Use real data for test --- + df_nph, _, fs = self.get_test_data() + processed_signal = df_nph['signal_processed'].values + times = df_nph['times'].values + # Load trial from ONE + # eid = '77a6741c-81cc-475f-9454-a9b997be02a4' + # trials = one.load_object(eid, 'trials') + trials = pd.read_parquet(self.paths['trials_table_kcenia_pqt']) + plotobj = plots.PlotSignalResponse(trials, processed_signal, times) + plotobj.plot_trialsort_psth() + plotobj.plot_processed_trialtick() + plt.close('all') -def test_plot_processed_signal(): - # --- Use synthetic data for test --- - df_nph, _, fs = get_synthetic_data() - - signal = df_nph['signal_processed'].values - times = df_nph['times'].values - plots.plot_processed_signal(signal, times) - plt.close('all') - - -def test_plot_photometry_correlation(): - # --- Use real data for test --- - df_nph, _, fs = get_test_data() - - signal_lp = ffpr.low_pass_filter(df_nph['raw_calcium'].values, fs) - isosbestic_lp = ffpr.low_pass_filter(df_nph['raw_isosbestic'].values, fs) - times = df_nph['times'].values - plots.plot_photometry_correlation(signal_lp, isosbestic_lp, times) - plt.close('all') + """ + ------------------------------------------------ + TEST: Plotting functions requiring FF signals only + ------------------------------------------------ + """ + def test_plot_raw_signals(self): + for test_case in ['synt', 'real']: + match test_case: + case 'synt': + # --- Use real data for test --- + df_nph, _, fs = self.get_test_data() + case 'real': + # --- Use synthetic data for test --- + df_nph, _, fs = self.get_synthetic_data() -def test_plot_psd(): - # --- Use synthetic data for test --- - df_nph, _, fs = get_synthetic_data() + raw_signal = df_nph['raw_calcium'].values + raw_isosbestic = df_nph['raw_isosbestic'].values + times = df_nph['times'].values - signal = df_nph['signal_processed'].values - times = df_nph['times'].values - fs = 1 / np.median(np.diff(times)) - plots.plot_psd(signal, fs) - plt.close('all') + plots.plot_raw_signals(raw_signal, times, raw_isosbestic) + plt.close('all') + def test_plot_processed_signal(self): + # --- Use synthetic data for test --- + df_nph, _, fs = self.get_synthetic_data() -""" ------------------------------------------------- -TEST: Plotting functions requiring behavioral events ------------------------------------------------- -""" + signal = df_nph['signal_processed'].values + times = df_nph['times'].values + plots.plot_processed_signal(signal, times) + plt.close('all') + def test_plot_photometry_correlation(self): + # --- Use real data for test --- + df_nph, _, fs = self.get_test_data() -def test_plot_psth(): - event_window = [-1.5, 2.75] + signal_lp = ffpr.low_pass_filter(df_nph['raw_calcium'].values, fs) + isosbestic_lp = ffpr.low_pass_filter(df_nph['raw_isosbestic'].values, fs) + times = df_nph['times'].values + plots.plot_photometry_correlation(signal_lp, isosbestic_lp, times) + plt.close('all') - for test_case in ['synt', 'real']: - match test_case: - case 'synt': - # --- Use real data for test --- - df_nph, t_events, fs = get_test_data() - case 'real': - # --- Use synthetic data for test --- - df_nph, t_events, fs = get_synthetic_data() + def test_plot_psd(self): + # --- Use synthetic data for test --- + df_nph, _, fs = self.get_synthetic_data() signal = df_nph['signal_processed'].values times = df_nph['times'].values - - # Compute PSTH - psth_mat, _ = psth(signal, times, t_events, fs=fs, event_window=event_window) - times = psth_times(fs, event_window) - # Plot PSTH - plots.plot_psth(psth_mat, times) + fs = 1 / np.median(np.diff(times)) + plots.plot_psd(signal, fs) plt.close('all') + """ + ------------------------------------------------ + TEST: Plotting functions requiring behavioral events + ------------------------------------------------ + """ -def test_plot_event_tick(): - # --- Use synthetic data for test --- - df_nph, t_events, fs = get_synthetic_data() - plots.plot_event_tick(t_events) - plt.close('all') + def test_plot_psth(self): + event_window = [-1.5, 2.75] + + for test_case in ['synt', 'real']: + match test_case: + case 'synt': + # --- Use real data for test --- + df_nph, t_events, fs = self.get_test_data() + case 'real': + # --- Use synthetic data for test --- + df_nph, t_events, fs = self.get_synthetic_data() + + signal = df_nph['signal_processed'].values + times = df_nph['times'].values + + # Compute PSTH + psth_mat, _ = psth( + signal, times, t_events, fs=fs, event_window=event_window + ) + times = psth_times(fs, event_window) + # Plot PSTH + plots.plot_psth(psth_mat, times) + plt.close('all') + + def test_plot_event_tick(self): + # --- Use synthetic data for test --- + df_nph, t_events, fs = self.get_synthetic_data() + plots.plot_event_tick(t_events) + plt.close('all')