Installation

This section explains how to install rastereasy and integrate it into your Python environment.

With pip

You can install rastereasy using pip, which is the simplest method:

$ pip install rastereasy

From source

To install rastereasy from source:

Clone the repository from GitHub:

$ git clone https://github.com/pythonraster/rastereasy.git

Navigate to the repository’s root directory:
```
$ cd rastereasy
```
Install the package using pip:
```
$ pip install .
```

Note for jupyter-lab users

As illustrated, rastereasy supports interactive plotting of spectral bands for individual pixels.: To enable this functionality in Jupyter Notebook, rastereasy installs some Jupyter extensions in your environment. If it doesn’t work, you may need to rebuild jupyter by the command:

` jupyter lab build `

Note for Google-colab users

As illustrated, rastereasy supports interactive plotting of spectral bands for individual pixels.

To enable this functionality in Google Colab, a special two-step setup is required. Follow these steps in the exact order. Separating the commands into different cells and restarting the session is essential.

Step 1: Install Libraries

Run the following cell to install rastereasy and the necessary dependencies for interactive widgets.

!pip install rastereasy ipympl
from google.colab import output
output.enable_custom_widget_manager()

Step 2: Restart the Runtime

After the installation is complete, you must restart the runtime.

Go to the menu: Runtime > Restart runtime (or use the shortcut Ctrl+M).

Step 3: Run Your Code

After restarting, you can now enable the interactive mode and use the library in a new cell.

%matplotlib widget
import rastereasy