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boolean-column selector should not select rows where value is NA #1

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st-pasha opened this issue May 9, 2017 · 2 comments
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boolean-column selector should not select rows where value is NA #1

st-pasha opened this issue May 9, 2017 · 2 comments
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st-pasha commented May 9, 2017 

import datatable as dt
f = dt.open("~/userdata")
f[lambda f: f.col1, :]

selects rows where f.col1 is NA.
@st-pasha st-pasha self-assigned this May 9, 2017
@st-pasha st-pasha changed the title boolean-column selector should not select rows where value is NA if a boolean column contains values other than 0, 1 or NA, there should be a warning somewhere... May 10, 2017
@st-pasha st-pasha changed the title if a boolean column contains values other than 0, 1 or NA, there should be a warning somewhere... boolean-column selector should not select rows where value is NA May 10, 2017
@st-pasha
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The behavior is caused by the fact that in my ~/userdata dataset boolean columns contain values other than 0, 1 and NA.

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see #7

@st-pasha st-pasha mentioned this issue May 10, 2017
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@mmalohlava mmalohlava mentioned this issue Apr 26, 2018
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oleksiyskononenko pushed a commit that referenced this issue Aug 20, 2018
Controlling number of exemplars in ND
5385071 
When number of exemplars found is more than `nd_bins` do the following:
- find the closest exemplar to the exemplar #1;
- adjust `delta` as `delta += min_distance`;
- if the distance between two exemplars is less than new `delta` merge
them and store the mapping info;
- adjust exemplar's info for all the relevant members at the end.
@pseudotensor pseudotensor mentioned this issue May 4, 2019
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st-pasha pushed a commit that referenced this issue Oct 25, 2019
@Viktor-Demin
Merge pull request #1 from h2oai/master
936d65f 
update
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