datatable
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h2oai
A Python package for manipulating 2-dimensional tabular data structures
Could someone please take a look at this and answer it on SO? [How to roll up duplicate observation in pydatatable?](https://stackoverflow.com/questions/73382830/how-to-roll-up-duplicate-observation-in-pydatatable) Since it is an urgent request i'm posting it...
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....
Currently, only comma delimiter is allowed. Some of the scripts I am using are quite inflexible on the input file format and can't take datatable output files as is.
```python >>> from datatable import dt >>> DT = dt.Frame({"\t" : [1]}) >>> DT.names ('.',) ```
Referencing #3245 Pretty straightforward. :) Looking for info on when cp310 wheels are going to be added to https://pypi.org/project/datatable/#files. Thanks!!!
- Closes #2684 - closes #2504 Implementation for column renaming ```py from datatable import dt, f, by grades = [48, 99, 75, 80, 42, 80, 72, 68, 36, 78] data...
- [x] cumsum() https://github.com/h2oai/datatable/pull/3257 - [x] cumprod() https://github.com/h2oai/datatable/pull/3304 - [x] cummax() https://github.com/h2oai/datatable/pull/3288 - [x] cummin() https://github.com/h2oai/datatable/pull/3288 - [x] cumcount() https://github.com/h2oai/datatable/pull/3310 - [x] ngroup() - not strictly cumulative https://github.com/h2oai/datatable/pull/3310 - [x]...
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...
This is a follow-up from the [discussion here](https://github.com/h2oai/datatable/discussions/2863) on adding methods to `FExpr`. The method chaining format would look like this ``DT[:, f[:].rowsum().sum()]``, which would be an equivalent for ``DT[:,...