Skip to main content

Add peak-to-peak interval features to tsfresh

Project description

tsfresh_ppi

This package provides some peak-to-peak timing features to augment tsfresh. Currently, tsfresh will find and count peaks using a couple of different methods. However, it does not measure the variability in timing between those peaks.

Installation

Clone this repo. Install prereqs from requirements.txt. Then install the cloned directory, e.g. with pip3 install -e [repo path].

Usage

from tsfresh import extract_features
from tsfresh_ppi import get_fc_parameters

my_signal = ...  # some pandas DataFrame

# The default way to extract features with tsfresh looks something like this:
features = extract_features(
    my_signal,
    ...
)

# This is how to get all of the default tsfresh features, plus default PPI features:
fc_params_with_ppi = get_fc_parameters()
features = extract_features(
    my_signal,
    default_fc_parameters = fc_params_with_ppi,
    ...
)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tsfresh_ppi-2021.8.10.tar.gz (5.5 kB view hashes)

Uploaded source

Built Distribution

tsfresh_ppi-2021.8.10-py3-none-any.whl (5.7 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page