pyEMA

Experimental and operational modal analysis.

pyEMA is a port of sdypy-EMA, which is part of the SDyPy project. The code is maintained in sdypy-EMA; this package makes the same code available under the pyEMA name, so that existing code keeps working.

Please report issues and open pull requests at sdypy-EMA.

Installing pyEMA also installs sdypy-EMA. These two imports give the same code:

import pyEMA
from sdypy import EMA as pyEMA

For new code, use sdypy-EMA directly:

pip install sdypy-EMA

from sdypy import EMA

Basic pyEMA usage

Make an instance of Model class:

a = pyEMA.Model(
    frf_matrix,
    frequency_array,
    lower=50,
    upper=10000,
    pol_order_high=60
    )

Compute poles:

a.get_poles()

Determine correct poles:

The stable poles can be determined in two ways:

Display stability chart

a.select_poles()

The stability chart displayes calculated poles and the user can hand-pick the stable ones.

If the approximate values of natural frequencies are already known, it is not necessary to display the stability chart:

approx_nat_freq = [314, 864]
a.select_closest_poles(approx_nat_freq)

After the stable poles are selected, the natural frequencies and damping coefficients can now be accessed:

a.nat_freq # natrual frequencies
a.nat_xi # damping coefficients

Reconstruction:

There are two types of reconstruction possible:

Reconstruction using own poles (the default option):

H, A = a.get_constants(whose_poles='own')

where H is reconstructed FRF matrix and A is a matrix of modal constants.

Reconstruction on c using poles from a:

c = pyEMA.Model(frf_matrix, frequency_array, lower=50, upper=10000, pol_order_high=60)

H, A = c.get_constants(whose_poles=a)

Release files for pyEMA 0.27.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyEMA 0.27.0
File	Size	Uploaded
pyema-0.27.0.tar.gz	4.1 kB	Sep 11, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for pyEMA 0.27.0
File	Interpreter	ABI	Platform	Reset
pyema-0.27.0-py3-none-any.whl 3.5 kB Sep 11, 2026	Python 3	none	any	Details

Total release size:7.6 kB

Release files / pyema-0.27.0.tar.gz

Download URL	pyema-0.27.0.tar.gz
Size	4.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`871335a33a55576eb687b30de7c42393babc7002662fad454fe7b0e0e87df046`
BLAKE2b-256 checksum How to use checksums	`c0fa1f83c6308b0de65d38ed5398146c9731cd2b289fdbbb5cf251cdfc0a8af4`
Upload date	Sep 11, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.12.10 {"installer":{"name":"uv","version":"0.12.10","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Omarchy","version":"4.0.3","id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}`

Release files / pyema-0.27.0-py3-none-any.whl

Download URL	pyema-0.27.0-py3-none-any.whl
Size	3.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`cb0748c4d65fe2a05870267eca1847e5432367d02351c489220bae6869f2fb96`
BLAKE2b-256 checksum How to use checksums	`bf774e481b3996cd3f820ff5e54dc9847aee28ff0e97d057e0c6dc2e77b382d0`
Upload date	Sep 11, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.12.10 {"installer":{"name":"uv","version":"0.12.10","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Omarchy","version":"4.0.3","id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}`