ExeTera icon indicating copy to clipboard operation
ExeTera copied to clipboard

Reproducible analysis pipelines for large tabular datasets

Results 88 ExeTera issues
Sort by recently updated
recently updated
newest added

Bumps [jinja2](https://github.com/pallets/jinja) from 3.0.3 to 3.1.3. Release notes Sourced from jinja2's releases. 3.1.3 This is a fix release for the 3.1.x feature branch. Fix for GHSA-h5c8-rqwp-cp95. You are affected if...

dependencies

fix #224 TODO: (1) Accept types Field, np.ndarray, list, tuple, for where function and methods (2) where always returns a MemField, in case of inplace return self after changing internals...

Bumps [numpy](https://github.com/numpy/numpy) from 1.21.5 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

At the moment, dataframes have apply_filter and apply_index. In pandas , this is done through array dereference syntax. There isn't any particular reason why we can't also have the same...

df.view() to create a view from the df, contains all fields as a reference df.apply_filter() to set filter

Get rid of signature in this method to have only `field` and not `fields` and handle case that `field` is multiple things.

exetera needs a resize function that carries out the numpy resize functionality. This should probably be implemented in the form of exetera.resize(a_field). We could also potentially expose this functionality in...

low priority

Explore whether there is a point to providing field-based iterators. Iteration over fields in raw python is very slow compared to the levels of performance that can be achieved by...

low priority
Post dataset replacement

Create a function called `to_field` which accepts something that can be coerced into a Numpy array and returns a new field containing that data. Other arguments such as `dtype` may...