From 4eff0693d60ccd16627c025ca45f2780d3c2806a Mon Sep 17 00:00:00 2001 From: Dominique Makowski Date: Wed, 13 Dec 2023 15:55:07 +0000 Subject: [PATCH 1/4] minor --- neurokit2/data/read_xdf.py | 10 ++++++++-- neurokit2/epochs/epochs_create.py | 20 +++++++++++--------- 2 files changed, 19 insertions(+), 11 deletions(-) diff --git a/neurokit2/data/read_xdf.py b/neurokit2/data/read_xdf.py index bb7ac9250e..35226f84a2 100644 --- a/neurokit2/data/read_xdf.py +++ b/neurokit2/data/read_xdf.py @@ -79,10 +79,16 @@ def read_xdf(filename, upsample=2, fillmissing=None): # Special treatment for some devices if stream["info"]["name"][0] == "Muse": - # Rename GYRO channels and add ACCelerometer + # Rename GYRO channels if stream["info"]["type"][0] == "GYRO": dat = dat.rename(columns={"X": "GYRO_X", "Y": "GYRO_Y", "Z": "GYRO_Z"}) - dat["ACC"] = np.sqrt(dat["GYRO_X"] ** 2 + dat["GYRO_Y"] ** 2 + dat["GYRO_Z"] ** 2) + # Compute movement + dat["GYRO"] = np.sqrt(dat["GYRO_X"] ** 2 + dat["GYRO_Y"] ** 2 + dat["GYRO_Z"] ** 2) + + if stream["info"]["type"][0] == "ACC": + dat = dat.rename(columns={"X": "ACC_X", "Y": "ACC_Y", "Z": "ACC_Z"}) + # Compute acceleration + dat["ACC"] = np.sqrt(dat["ACC_X"] ** 2 + dat["ACC_Y"] ** 2 + dat["ACC_Z"] ** 2) # Muse - PPG data has three channels: ambient, infrared, red if stream["info"]["type"][0] == "PPG": diff --git a/neurokit2/epochs/epochs_create.py b/neurokit2/epochs/epochs_create.py index bf34d8cded..29c40320c0 100644 --- a/neurokit2/epochs/epochs_create.py +++ b/neurokit2/epochs/epochs_create.py @@ -113,6 +113,15 @@ def epochs_create( # Chunk into n blocks of 1 second epochs = nk.epochs_create(data, sampling_rate=100, epochs_end=1) + * **Example 5**: Epochs with list of starting points + + .. ipython:: python + + epochs = nk.epochs_create(data, events, sampling_rate=100, + epochs_start=[0, -1, -1, 0], + epochs_end=[1, 0, 0, 1]) + [len(epochs[i]) for i in epochs.keys()] + """ # Santize data input @@ -129,9 +138,7 @@ def epochs_create( if isinstance(events, int): events = np.linspace(0, len(data), events + 2)[1:-1] if isinstance(events, dict) is False: - events = _events_find_label( - {"onset": events}, event_labels=event_labels, event_conditions=event_conditions - ) + events = _events_find_label({"onset": events}, event_labels=event_labels, event_conditions=event_conditions) event_onsets = list(events["onset"]) event_labels = list(events["label"]) @@ -160,9 +167,7 @@ def epochs_create( length_buffer = epoch_max_duration # First createa buffer of the same dtype as data and fill with it 0s - buffer = pd.DataFrame(0, index=range(length_buffer), columns=data.columns).astype( - dtype=data.dtypes - ) + buffer = pd.DataFrame(0, index=range(length_buffer), columns=data.columns).astype(dtype=data.dtypes) # Only then, we convert the non-integers to nans (because regular numpy's ints cannot be nan) buffer.select_dtypes(exclude="int64").replace({0.0: np.nan}, inplace=True) # Now we can combine the buffer with the data @@ -173,7 +178,6 @@ def epochs_create( epochs = {} for i, label in enumerate(parameters["label"]): - # Find indices start = parameters["onset"][i] + (parameters["start"][i] * sampling_rate) end = parameters["onset"][i] + (parameters["end"][i] * sampling_rate) @@ -201,9 +205,7 @@ def epochs_create( # Sanitize dtype of individual columns for i in epochs: - for colname, column in epochs[i].select_dtypes(include=["object"]).items(): - # Check whether columns are indices or label/condition values = column.unique().tolist() zero_or_one = not (False in [x in [0, 1] for x in values]) From 79b4888c37b988b80477cd0eed37a8123883ed3a Mon Sep 17 00:00:00 2001 From: Dominique Makowski Date: Mon, 18 Dec 2023 19:20:30 +0000 Subject: [PATCH 2/4] [Hotfix] requests is not builtin anymore --- neurokit2/data/database.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/neurokit2/data/database.py b/neurokit2/data/database.py index bacb39fa68..86aa6c94b5 100644 --- a/neurokit2/data/database.py +++ b/neurokit2/data/database.py @@ -1,9 +1,7 @@ import pathlib -import urllib.parse +import urllib import zipfile -import requests - def download_from_url(url, destination_path=None): """**Download Files from URLs** @@ -26,7 +24,7 @@ def download_from_url(url, destination_path=None): destination_path = _download_path_sanitize(url, destination_path) # Download the file - response = requests.get(url) + response = urllib.request.urlopen(url) if response.status_code == 200: with destination_path.open("wb") as file: From 8b6d1457078275879fb8a395a1014bee71a32ce6 Mon Sep 17 00:00:00 2001 From: Dominique Makowski Date: Mon, 18 Dec 2023 19:21:18 +0000 Subject: [PATCH 3/4] Add fig2img --- neurokit2/misc/__init__.py | 4 +- .../misc/{random.py => check_random_state.py} | 10 +++- neurokit2/misc/fig2img.py | 46 +++++++++++++++++++ 3 files changed, 57 insertions(+), 3 deletions(-) rename neurokit2/misc/{random.py => check_random_state.py} (95%) create mode 100644 neurokit2/misc/fig2img.py diff --git a/neurokit2/misc/__init__.py b/neurokit2/misc/__init__.py index 0a49dfcf9a..6abdcc2701 100644 --- a/neurokit2/misc/__init__.py +++ b/neurokit2/misc/__init__.py @@ -5,7 +5,7 @@ """ from ._warnings import NeuroKitWarning -from .random import check_random_state, check_random_state_children, spawn_random_state +from .check_random_state import check_random_state, check_random_state_children, spawn_random_state from .check_type import check_type from .copyfunction import copyfunction from .expspace import expspace @@ -21,6 +21,7 @@ from .replace import replace from .type_converters import as_vector from .report import create_report +from .fig2img import fig2img __all__ = [ @@ -43,4 +44,5 @@ "check_random_state_children", "spawn_random_state", "create_report", + "fig2img", ] diff --git a/neurokit2/misc/random.py b/neurokit2/misc/check_random_state.py similarity index 95% rename from neurokit2/misc/random.py rename to neurokit2/misc/check_random_state.py index 98fc9b85bb..50740619eb 100644 --- a/neurokit2/misc/random.py +++ b/neurokit2/misc/check_random_state.py @@ -25,6 +25,7 @@ def check_random_state(seed=None): rng: numpy.random.Generator or numpy.random.RandomState Random number generator. """ + # If seed is an integer, use the legacy RandomState class if isinstance(seed, numbers.Integral): return np.random.RandomState(seed) @@ -77,7 +78,10 @@ def spawn_random_state(rng, n_children=1): if rng._bit_generator._seed_seq is not None: rng_class = type(rng) bit_generator_class = type(rng._bit_generator) - return [rng_class(bit_generator_class(seed=s)) for s in rng._bit_generator._seed_seq.spawn(n_children)] + return [ + rng_class(bit_generator_class(seed=s)) + for s in rng._bit_generator._seed_seq.spawn(n_children) + ] except TypeError: # The rng does not support spawning through SeedSequence, see below pass @@ -94,7 +98,9 @@ def spawn_random_state(rng, n_children=1): return [np.random.RandomState(seed=s) for s in temp_rng.random_raw(n_children)] -def check_random_state_children(random_state_parent, random_state_children, n_children=1): +def check_random_state_children( + random_state_parent, random_state_children, n_children=1 +): """**Create new independent children random number generators to be used in sub-functions** Parameters diff --git a/neurokit2/misc/fig2img.py b/neurokit2/misc/fig2img.py new file mode 100644 index 0000000000..cda2ed45fd --- /dev/null +++ b/neurokit2/misc/fig2img.py @@ -0,0 +1,46 @@ +import io + + +def fig2img(fig): + """Matplotlib Figure to PIL Image + + Convert a Matplotlib figure to a PIL Image + + Parameters + ---------- + fig : plt.figure + Matplotlib figure. + + Returns + ---------- + list + The rescaled values. + + + Examples + ---------- + .. ipython:: python + + import neurokit2 as nk + import matplotlib.pyplot as plt + + plt.plot([1, 2, 3, 4, 5]) # Make plot + fig = plt.gcf() # Get current figure + nk.fig2img(fig) # Convert to PIL Image + plt.close(fig) # Close figure + + """ + + try: + import PIL.Image + except ImportError as e: + raise ImportError( + "fig2img(): the 'PIL' (Pillow) module is required for this function to run. ", + "Please install it first (`pip install pillow`).", + ) from e + + buffer = io.BytesIO() + fig.savefig(buffer) + buffer.seek(0) + img = PIL.Image.open(buffer) + return img From 87c8c60a430ba1740cb664f65bf919231a4c35a0 Mon Sep 17 00:00:00 2001 From: Dominique Makowski Date: Mon, 18 Dec 2023 21:16:02 +0000 Subject: [PATCH 4/4] Update eeg_1min_200hz.pickle --- data/eeg_1min_200hz.pickle | Bin 9743868 -> 9743880 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/data/eeg_1min_200hz.pickle b/data/eeg_1min_200hz.pickle index 62d0b77b28a0c8014aba6d8d8f69f686e512c0fb..112ee649acc968a9928c56cf2a07211779aefdcd 100644 GIT binary patch delta 4690708 zcmbT-2Rzm9`#*3iWs`;#QW`|06zV!DEu)DW!_&?C+~>Zp`+B{NR~9hcttwz*vYX=}@ra4c%4=e( zCw)r)yuQ9Y)qzUyKxJ^CGCEM19H?^~sLT%3xenBM4pbHgDysvP&4J49K;>|tayn4C z9H`t5R2~QFd39p z%-vAb@@#ndE2$-$=$*oc%A}GQSULXp6+IIwrPK+Zd31ENFJbGx%1}*X4ZV>c?f+`r zMz3jqsoFI#(;2<_;{$X?Z~yp!6XOOtBY)bz_Fg_~G$Sd{qVz*a{C?2Dv~546zn6+1 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