https://github.com/chdre/data-analyzer

A small package to analyze and preprocess data.
https://github.com/chdre/data-analyzer

data-analysis python

Last synced: 5 days ago
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A small package to analyze and preprocess data.

• Host: GitHub
• URL: https://github.com/chdre/data-analyzer
• Owner: chdre
• License: mit
• Created: 2021-10-12T08:48:06.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-11-23T11:05:27.000Z (about 3 years ago)
• Last Synced: 2025-01-20T23:44:18.981Z (9 days ago)
• Topics: data-analysis, python
• Language: Python
• Homepage:
• Size: 11.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Data-analyzer

Small package to process data in the form of time series which has some corresponding data. The package was made considering time series of molecular dynamics simulations as the y data, and the features an array explaining a material structure.

# Install

Install using pip:

```

pip install git+https://github.com/chdre/data-analyzer

```

# Requirements

- scipy

# Usage

For some dataset with features x and some times series y (or otherwise), we can create an object containing the data

```

import data_analyzer import Dataset

dataset = Dataset(x, y)

```

# Examples

We can find the maximum values of y by

```

x, y = dataset()

ymax = dataset.find_maximum(y)

```

or smooth y using Savitzky-Golay filtering:

```

ysmooth = dataset.smooth_y(y)

```

and then, if we want to replace the original targets by the smoothed data:

```

dataset.update_y(ysmooth)

```