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In many contexts I've had the need to "unset" a data frame index prior to passing the data frame to an index-blind method. My main requirements for such an index unset are:
the output should have the most trivial index possible, i.e. an unnamed range index
if the input has only an unnamed range index, the "unset" operation should be a no-op
if the input has a named index, it should be kept as a new column (or columns for a multi-index)
if the input is not a simple RangeIndex and is unnamed, raise a value error to remind me to decide whether that index is supposed to be meaningful (typically I'd name it if so, or do .reset_index(drop=True) if not).
Usage of the .reset_index method to cover all of these requirements in a general sense requires a bit of nuance:
calling df.reset_index() introduces a new column named simply "index" when users forget to use keep=False even when the index is [trivial] unnamed range index. In a stricter/safer world, you might want an error instead when you're about to construct a data frame column from an unnamed index.
the requirement to specify keep at all is sometime onerous; it typically would be preferable to have a method that's a no-op in case the existing index is already an unnamed range index.
Feature Description
Define a new unset_index method on DataFrame something like
def unset_index(self) -> Self:
if is_unnamed_range_index(df.index):
return df
if index_has_any_unnamed_col(df.index):
raise ValueError(
"At least one column of the index is unnamed while the index itself is not a RangeIndex. "
"Set the names of the index columns before calling unset, or just call reset_index(drop=True) directly."
)
return df.reset_index(drop=False, allow_duplicates=False)
Alternative Solutions
Until something like this is available in pandas, I'm using the unset method in pandahandler.
Additional Context
No response
The text was updated successfully, but these errors were encountered:
Feature Type
Adding new functionality to pandas
Changing existing functionality in pandas
Removing existing functionality in pandas
Problem Description
In many contexts I've had the need to "unset" a data frame index prior to passing the data frame to an index-blind method. My main requirements for such an index unset are:
.reset_index(drop=True)
if not).Usage of the
.reset_index
method to cover all of these requirements in a general sense requires a bit of nuance:df.reset_index()
introduces a new column named simply "index" when users forget to usekeep=False
even when the index is [trivial] unnamed range index. In a stricter/safer world, you might want an error instead when you're about to construct a data frame column from an unnamed index.keep
at all is sometime onerous; it typically would be preferable to have a method that's a no-op in case the existing index is already an unnamed range index.Feature Description
Define a new
unset_index
method on DataFrame something likeAlternative Solutions
Until something like this is available in pandas, I'm using the unset method in pandahandler.
Additional Context
No response
The text was updated successfully, but these errors were encountered: