[skip ci] rewording a bit

Author: MarcoGorelli

web/pandas/pdeps/0005-no-default-index-mode.md

@@ -83,9 +83,9 @@ in some cases:
 - `name` could only be `None`;
 - `start` could only be `0`, `step` `1`;
 - when appending a ``NoRowIndex``, the result would still be ``NoRowIndex``;
-- when slicing, one would still get a `NoIndex`;
+- when slicing, one would still get a `NoRowIndex`;
 - it could only be aligned with another ``Index`` if it's also ``NoRowIndex`` and if it's of the same length;
-- ``DataFrame`` columns can't be `NoRowIndex` (so ``transpose`` would need some adjustments when called on a ``NoIndex`` ``DataFrame``);
+- ``DataFrame`` columns can't be `NoRowIndex` (so ``transpose`` would need some adjustments when called on a ``NoRowIndex`` ``DataFrame``);
 - `insert` and `delete` should raise. As a consequence, if ``df`` is a ``DataFrame`` with a
   ``NoRowIndex``, then `df.drop` with `axis=0` would always raise;
 - arithmetic operations (e.g. `NoRowIndex(3) + 2`) would always raise.
@@ -186,11 +186,10 @@ One issue that arises, then, is what to do about ``transpose``, which would swap
 index and columns. Rather than making ``transpose`` break, it could be more
 user-friendly to, within ``transpose`` change a ``NoRowIndex`` index to a
 ``RangeIndex`` of the same length before swapping index and columns.
-Note that calling ``transpose`` twice would no longer round-trip.
 
 ### DataFrameFormatter and SeriesFormatter changes
 
-When printing an object with a ``NoIndex``, then the row labels wouldn't be shown:
+When printing an object with a ``NoRowIndex``, then the row labels wouldn't be shown:
 
 ```python
 In [15]: df = pd.DataFrame({'a': [1,  2, 3], 'b': [4, 5, 6]}, index=NoRowIndex(3))
@@ -228,8 +227,9 @@ Draft pull request showing proof of concept: https://github.com/pandas-dev/panda
 
 **A:** Yes! And they're also confusing to many users, even experienced developers.
   It's fairly common to see pandas code with ``.reset_index`` scattered around every
-  other line. Such users would benefit from a mode in which they wouldn't need to think
-  about indices and alignment.
+  other line. Such users would benefit from being able to not think about indices
+  and alignment. Indices would be here to stay, and ``NoRowIndex`` would not be the
+  default.
 
 **Q: In this mode, could users still get an ``Index`` if they really wanted to?**
 
@@ -242,8 +242,6 @@ Draft pull request showing proof of concept: https://github.com/pandas-dev/panda
   df.reset_index().set_index('index')
   ```
 
-**Q: Why can't a DataFrame columns be ``NoRowIndex``?**
-
 
 ## PDEP History