Sensospot Tools
===============

Some small tools for working with parsed Sensospot data.

## Selecting and spliting a pandas data frame

### sensospot_tools.select(data: DataFrame, column: str, value: Any) -> DataFrame

Selects rows of a dataframe based on a value in a column

Example:
```python

    from sensospot_tools import select

    print(data)
        category  value
    0      dog      1
    1      cat      2
    2    horse      3
    3      cat      4

    print(select(data, "category", "cat"))
          category  value
        1      cat      2
        3      cat      4
```


### sensospot_tools.split(data: DataFrame, column: str) -> Iterator[tuple[Any, DataFrame]]

Splits a data frame on unique values in a column

Returns an iterator where each result is key-value-pair. The key is the
unique value used for the split, the value is a slice of the dataframe
selected by the unique value contained in the column.

Example:
```python

    from sensospot_tools import split

    print(data)
        category  value
    0      dog      1
    1      cat      2
    2    horse      3
    3      cat      4

    result = dict( split(data, column="category") )

    print(result["dog"])
        category  value
    0      dog      1

    print(result["cat"])
        category  value
    1      cat      2
    3      cat      4

    print(result["horse"])
        category  value
    2    horse      3
```


## Development

To install the development version of Sensospot Tools:

    git clone https://git.cpi.imtek.uni-freiburg.de/holgi/sensospot_tools.git

    # create a virtual environment and install all required dev dependencies
    cd sensospot_tools
    make devenv

To run the tests, use `make tests` or `make coverage` for a complete report.