https://github.com/qupath/dataframe

https://github.com/qupath/dataframe

Last synced: 18 days ago
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• Host: GitHub
• URL: https://github.com/qupath/dataframe
• Owner: qupath
• License: apache-2.0
• Created: 2021-05-17T14:49:03.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2021-05-15T09:08:25.000Z (over 3 years ago)
• Last Synced: 2024-11-06T08:13:00.310Z (2 months ago)
• Size: 676 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.MD
  • License: LICENSE

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README

        
# DataFrame

DataFrame is light-weight data structure for working with tabular data. It's primary focus is to be a counterpart for

DataViz and allow for easy creation of plots. Additionally, it includes various statistical methods to enable better

data exploration.

## Importing a CSV file

Importing data can be performed using a static factory method in the DataFrame interface:

```java

import net.mahdilamb.dataframe.DataFrame;

import java.io.File;

public class Tests {

    public static DataFrame loadFromResources(final String name) {

        return DataFrame.from(new File(Objects.requireNonNull(Thread.currentThread().getContextClassLoader().getResource(name)).getFile()));

    }

    public static void main(String[] args) {

        DataFrame iris = DataFrame.from(new File("iris.csv"));

    }

}

```

Printing to the console will print in a friendly way.

# DataFrame methods

Many common table methods can be performed including:

* sorting

* filter

* grouping

* subsetting

# Stats/Maths

There are also a number of useful utility methods for working with numerical data. These can be found in

the `net.mahdilamb.stats` package and contains methods to summarise data as well as methods for working with arrays.

There are also various methods for working the density estimations.

# Attributions

* Many mathematical functions have been translated from the [Cephes](https://www.netlib.org/cephes/) math library which

  is released with an [MIT Licence](https://en.smath.com/view/CephesMathLibrary/license)

* There are also mathematical methods derived from [NumPy](https://numpy.org/doc/stable/license.html)

  and [SciPy](https://www.scipy.org/scipylib/license.html)

* Finally, there are also some methods derived from [Boost](https://www.boost.org/users/license.html)

# Licence

Copyright (C) 2020-2021 Mahdi Lamb, University of Edinburgh

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the

License. You may obtain a copy of the License at

    https://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "

AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific

language governing permissions and limitations under the License.