Oleksiy Kononenko
Oleksiy Kononenko
The code ```python from datatable import dt DT = dt.Frame(["a", None, "b"]) print(DT.to_csv(quoting="all")) ``` prints ```python '"C0"\n"a"\n\n"b"\n' ``` However, according to [documentation](https://datatable.readthedocs.io/en/latest/api/frame/to_csv.html#quoting), when `quoting="all"` all the fields should be quoted....
```python >>> from datatable import dt >>> DT = dt.Frame({"\t" : [1]}) >>> DT.names ('.',) ```
Several tests are failing on Windows for the following profile: - python `3.8.10` (not all the `3.8` pythons are failing, for instance, `3.8.0` doesn't fail); - datatable debug build (release...
Currently it is impossible to create a datatable frame from numpy arrays with unsigned integer types: ```python >>> import datatable as dt >>> import numpy as np >>> NP =...
Right now datatable reducers are only parallelized in terms of the groups. When there is one group, even if it is huge, datatable does all the work in single thread....
```python from datatable import dt, f, sort DT = dt.Frame([[1], [1]]) DT[:, :, sort(f[:])] ``` produces ```python AssertionError: Assertion 'flags.size() == ncols' failed in src/core/expr/eval_context.cc, line 264 ```
RIght now datatable frames cannot be created from `pd.array()` ```python >>> import datatable as dt >>> import pandas as pd >>> PD = pd.array([1, 2, None]) >>> DT = dt.Frame(PD)...
`.replace()` [should operate](https://datatable.readthedocs.io/en/latest/api/frame/replace.html) on columns of types appropriate for the `replace_what` value. At the same time, we [declare](https://datatable.readthedocs.io/en/latest/api/type/void.html) that `void` columns can be used in place where any other type...
There is an issue caused by PR https://github.com/h2oai/datatable/pull/3144. All the `.jay` files produced by datatable as of this PR are causing segfaults, when read by any of the older datatable...