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Support more series operators #49
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[Review] Multi-column group-by and filters - sort-based single-aggregation
@kkraus14 are these still missing? |
Yes, as far as I'm aware. |
I ran into this today. Here is a minimal example. import cudf
gdf = cudf.DataFrame({'x': [1, 2, 3], 'y': [1, 2, 1]})
gdf[(gdf.x > 1) & (gdf.y < 2)] |
Checking in here. Should this be doable now that Jitify is in? |
At first glance it doesn't appear to be available yet. |
@mrocklin It can be added. Bitwise operators weren't included in the first set of Jitified functions. |
Reopening this issue because I realized that this issue requests more than just bitwise ops. @devavret what about pow() and the unary ops that are requested? Are these already done? |
Added in support for parsing CSV from a buffer Closes rapidsai#49 See merge request nvspark/cudf!46
Publish cudf_private wheels to nightly index
The following are missing:
-x
)~x
)&
,|
,^
)x ** 2
)pow was added in #892 . Negation and inversion are part of #1163. Boolean bitwise operations are in #1292.
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