For a given Python interface of a StatisKit software component (e.g., StatisKit-Core), to load a data frame (e.g., data), an user must be able to type:
fromstatiskitimportcoredata=core.load_data("data")For now, we consider:
- To save data according to the DSV format with:
- headers in the first row,
- the
; column separator, - the
.dsv extension.
- To save data into a
data directory at the root of the Python package tree (e.g., src/py/statiskit/core/data). - That this
data directory cannot be imported (e.g., from statiskit.core import data should raise a ImportError: No module named statiskit.core.data error)
To do so, a load_data function could defined in src/py/statiskit/core/_tools.py file.
Using a the __file__ variable of a __init__.py module file as input, this function should be able to load a data file from its basename prefix (e.g., use the input string "data" for loading the dataframe saved in the "data.dsv" file).
For a given Python interface of a StatisKit software component (e.g., StatisKit-Core), to load a data frame (e.g.,
data), an user must be able to type:For now, we consider:
;column separator,.dsvextension.datadirectory at the root of the Python package tree (e.g.,src/py/statiskit/core/data).datadirectory cannot be imported (e.g.,from statiskit.core import datashould raise aImportError: No module named statiskit.core.dataerror)To do so, a
load_datafunction could defined insrc/py/statiskit/core/_tools.pyfile.Using a the
__file__variable of a__init__.pymodule file as input, this function should be able to load a data file from its basename prefix (e.g., use the input string"data"for loading the dataframe saved in the"data.dsv"file).