Curvefits csv file with datasets into csv files
Project description
zkcurvefit module has curvefit method which takes 3 arguments file-to-read, file-to-write, timestep-max , density_coeff (dilution factor), plot = “on” or “off” reads the file and curvefits every column with the initial column which should be timestep column [1:tmax].
“It’s written for decaying datasets.”
It write 3 files
1 = all curvefit data points 2 = once in 50 curvefit data points 3 = koff values where koff = 1/tauOff
For curvefit to work best you need to have big datasets with first column is timestep with 1 increments starting with 1 since timestep 0 disrupts the curveffitting algorithm used here.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file zkcurvefit-0.1.4-py3-none-any.whl
.
File metadata
- Download URL: zkcurvefit-0.1.4-py3-none-any.whl
- Upload date:
- Size: 4.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.9.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6715308b5498649d263a36560afd7d16c440bddb01b950516b41068999d9ac02 |
|
MD5 | a438b5339e79866f26ac62c21439e2ca |
|
BLAKE2b-256 | 3aa58229a6bd827776eee71e85f7b7e751bdc175c2e5f0bf771b97bda7362a52 |