Function plot_polarbar has 8 arguments (exceeds 4 allowed). Consider refactoring.

Open

def plot_polarbar(scores, labels=None, labels_size=15, colors="default", distribution_means=None, distribution_sds=None, treshold=1.28, fig_size=(15, 15)):

Function emg_process has 8 arguments (exceeds 4 allowed). Consider refactoring.

Open

def emg_process(emg, sampling_rate=1000, emg_names=None, envelope_freqs=[10, 400], envelope_lfreq=4, activation_treshold="default", activation_n_above=0.25, activation_n_below=1):

Function find_closest_in_list has a Cognitive Complexity of 9 (exceeds 5 allowed). Consider refactoring.

Open

def find_closest_in_list(number, array, direction="both", strictly=False):
    """
    Find the closest number in the array from x.

    Parameters

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Function ecg_wave_detector has a Cognitive Complexity of 9 (exceeds 5 allowed). Consider refactoring.

Open

def ecg_wave_detector(ecg, rpeaks):
    """
    Returns the localization of the P, Q, T waves. This function needs massive help!

    Parameters

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Function eeg_to_all_evokeds has a Cognitive Complexity of 9 (exceeds 5 allowed). Consider refactoring.

Open

def eeg_to_all_evokeds(all_epochs, conditions=None):
    """
    Convert all_epochs to all_evokeds.

    DOCS INCOMPLETE :(

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Function ecg_preprocess has 7 arguments (exceeds 4 allowed). Consider refactoring.

Open

def ecg_preprocess(ecg, sampling_rate=1000, filter_type="FIR", filter_band="bandpass", filter_frequency=[3, 45], filter_order=0.3, segmenter="hamilton"):

Function eeg_psd has 7 arguments (exceeds 4 allowed). Consider refactoring.

Open

def eeg_psd(raw, sensors_include="all", sensors_exclude=None, fmin=0.016, fmax=60, method="multitaper", proj=False):

Function read_acqknowledge has 7 arguments (exceeds 4 allowed). Consider refactoring.

Open

def read_acqknowledge(filename, path="", index="datetime", sampling_rate="max", resampling_method="pad", fill_interruptions=True, return_sampling_rate=True):

Function eda_process has 7 arguments (exceeds 4 allowed). Consider refactoring.

Open

def eda_process(eda, sampling_rate=1000, alpha=8e-4, gamma=1e-2, filter_type = "butter", scr_method="makowski", scr_treshold=0.1):

Function eeg_gfp_peaks has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def eeg_gfp_peaks(data, gflp_method='GFPL1', smoothing=False, smoothing_window=100, peak_method="wavelet", normalize=False):

Avoid deeply nested control flow statements.

Open

                    if key in complexity_features[epoch_index].keys():
                        complexity_features[epoch_index][key].append(feature)
                    else:
                        complexity_features[epoch_index][key] = [feature]

Function complexity_entropy_shannon has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

def complexity_entropy_shannon(signal):
    """
    Computes the shannon entropy. Copied from the `pyEntropy <https://github.com/nikdon/pyEntropy>`_ repo by tjugo.

    Parameters

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Function eeg_to_df has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def eeg_to_df(eeg, index=None, include="all", exclude=None, hemisphere="both", central=True):

Function __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

    def __init__(self, signal=[0, 100], treshold=0.50, burn=5, stop_n_inversions=False, prior_signal=[], prior_response=[]):

Avoid deeply nested control flow statements.

Open

                    if isinstance(hrv[key], float):  # Avoid storing series or dataframes
                        ECG_Response["ECG_HRV_" + key + "_Baseline"] = hrv[key]

                # Compute differences between features and baseline
                keys = [key for key in ECG_Response.keys() if '_Baseline' in key]  # Find keys

Function ecg_process has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

def ecg_process(ecg, rsp=None, sampling_rate=1000, filter_type="FIR", filter_band="bandpass", filter_frequency=[3, 45], segmenter="hamilton", quality_model="default", hrv_features=["time", "frequency"], age=None, sex=None, position=None):
    """
    Automated processing of ECG and RSP signals.

    Parameters

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Function eeg_add_channel has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def eeg_add_channel(raw, channel, sync_index_eeg=0, sync_index_channel=0, channel_type=None, channel_name=None):

Function ecg_signal_quality has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

def ecg_signal_quality(cardiac_cycles, sampling_rate, rpeaks=None, quality_model="default"):
    """
    Attempt to find the recording lead and the overall and individual quality of heartbeats signal. Although used as a routine, this feature is experimental.

    Parameters

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Function save_nk_object has 6 arguments (exceeds 4 allowed). Consider refactoring.

Open

def save_nk_object(obj, filename="file", path="", extension="nk", compress=False, compatibility=-1):

Function find_following_duplicates has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

def find_following_duplicates(array):
    """
    Find the duplicates that are following themselves.

    Parameters

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