ExeTera
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Reproducible analysis pipelines for large tabular datasets
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...
fix #227
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...
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...
Dfview
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...
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...
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...