def find_and_replace(self, to_replace, value):
"""
Return col with *to_replace* replaced with *value*.
"""
to_replace_col = columnops.as_column(to_replace)
value_col = columnops.as_column(value)
replaced = self.copy()
to_replace_col, value_col, replaced = numeric_normalize_types(
to_replace_col, value_col, replaced)
cpp_replace.replace(replaced, to_replace_col, value_col)
return replaced
def find_and_replace(self, to_replace, value):
"""
Return col with *to_replace* replaced with *value*.
"""
replaced = columnops.as_column(self.cat().codes)
to_replace_col = columnops.as_column(
np.asarray([self._encode(val) for val in to_replace],
dtype=replaced.dtype))
value_col = columnops.as_column(
np.asarray([self._encode(val) for val in value],
dtype=replaced.dtype))
cpp_replace.replace(replaced, to_replace_col, value_col)
return self.replace(data=replaced.data)
def find_and_replace(self, to_replace, replacement, all_nan):
"""
Return col with *to_replace* replaced with *value*.
"""
to_replace_col = columnops.as_column(to_replace)
replacement_dtype = self.dtype if all_nan else None
replacement_col = columnops.as_column(replacement,
dtype=replacement_dtype)
replaced = self.copy()
to_replace_col, replacement_col, replaced = numeric_normalize_types(
to_replace_col, replacement_col, replaced)
output = cpp_replace.replace(replaced, to_replace_col, replacement_col)
return output
def find_and_replace(self, to_replace, replacement, all_nan):
"""
Return col with *to_replace* replaced with *replacement*.
"""
replaced = columnops.as_column(self.cat().codes)
to_replace_col = columnops.as_column(
np.asarray([self._encode(val) for val in to_replace],
dtype=replaced.dtype))
replacement_col = columnops.as_column(
np.asarray([self._encode(val) for val in replacement],
dtype=replaced.dtype))
output = cpp_replace.replace(replaced, to_replace_col, replacement_col)
return self.replace(data=output.data)