def remove_keys(self, keys, nulls=None):
"""
Create new category removing the specified keys and remapping
values to the new key indexes. Values with removed keys are
mapped to -1.
Parameters
----------
keys : nvstrings or ndarray
keys to be removed from existing keys
nulls: bitmask
ndarray of type uint8
Examples
--------
>>> import nvcategory
>>> import numpy as np
>>> c = nvcategory.from_numbers(np.array([4, 1, 2, 3, 2, 1, 4]))
>>> print(c.keys(),c.values())
[1, 2, 3, 4] [3, 0, 1, 2, 1, 0, 3]
>>> nc = c.remove_keys(np.array([4,0]))
>>> print(nc.keys(),nc.values())
[1, 2, 3] [-1, 0, 1, 2, 1, 0, -1]
"""
rtn = pyniNVCategory.n_remove_keys(self.m_cptr, keys, nulls)
if rtn is not None:
rtn = nvcategory(rtn)
return rtn
def remove_keys(self, strs):
"""
Create new category removing the specified keys and remapping
values to the new key indexes. Values with removed keys are
mapped to -1.
Parameters
----------
strs : nvstrings
keys to be removed from existing keys
"""
rtn = pyniNVCategory.n_remove_keys(self.m_cptr, strs)
if rtn is not None:
rtn = nvcategory(rtn)
return rtn