How can I subset a h2o frame in python based on a list, rather than a single value ? For example, in R one would use %in%
, or in panda I can see one can use .isin()
. I'd like to do something like this, if it makes sense:
df.loc[df['column name'].isin(pickTheseValues)]
How does it work in h2o? Alternatively, can I cast the h2o data frame into panda and do the operation as above?
h2o provides slicing rows on dataframe for both R and Python so you can use isin method to filter rows based on a column.
mask = df["column name"].isin(pickTheseValues)
cols = df[mask,:]
You can reach the details by this link.
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