Comments (4)
Never mind, I see that mask
does this.
from dfply.
It's called mask
in dfply since filter
is reserved in python. It's in there in the subset.py
file.
from dfply.
Technically filter
is just a builtin function -- you can certainly override it if desired (though that is often considered poor style).
from dfply.
Yeah, "reserved" was not a correct choice of word. I am trying to avoid overriding python's built-in functions so that people can use from dfply import *
without any rude surprises.
from dfply.
Related Issues (20)
- A way to outer_join() by index?
- rename(CUT=X.cut, COLOR='color') - counterintuitive IMO HOT 1
- Liveness of this project HOT 1
- group_by ModuleNotFoundError: No module named 'dfply.group'; 'dfply' is not a package
- Performance issue
- NameError: name 'filter_for_jpeg' is not defined
- mutate not support the new variables that created above HOT 2
- Can I use `%in%` operator in dfply framework? HOT 1
- missing cumcount() function in embedded column functions
- unable to aggregate and summarize counts for a categorical variable HOT 1
- When using `spread`, Type error occurs on not callable 'Client' object HOT 1
- Issues to convert to pandas dataframe
- how to use case_when function
- Issue arranging data after summarising with a new variable HOT 1
- Not taking into account None values in group_by HOT 1
- missing sum() from summary function
- inner_join can not use by this way
- #group_by #mode #iter()
- Filtering two or more elements from a column
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from dfply.