8000 PDEP-14: Dedicated string data type for pandas 3.0 by jorisvandenbossche · Pull Request #58551 · pandas-dev/pandas · GitHub
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d24a80a
Merge remote-tracking branch 'upstream/main' into pdep-string-dtype
jorisvandenbossche Jun 10, 2024
9c5342a
New revision: keep back compat for 'string', introduce 'str' for the …
jorisvandenbossche Jun 10, 2024
b5663cc
Apply suggestions from code review
jorisvandenbossche Jun 11, 2024
1c4c2d9
Update web/pandas/pdeps/0014-string-dtype.md
jorisvandenbossche Jun 12, 2024
c44bfb5
rephrase main points in proposal
jorisvandenbossche Jun 12, 2024
af5ad3c
Merge remote-tracking branch 'upstream/main' into pdep-string-dtype
jorisvandenbossche Jun 14, 2024
bd52f39
tiny edit
jorisvandenbossche Jun 14, 2024
f8fbc61
mismatched quote
jorisvandenbossche Jun 14, 2024
d78462d
Update 0014-string-dtype.md
phofl Jul 22, 2024
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Merge remote-tracking branch 'upstream/main' into pdep-string-dtype
jorisvandenbossche Jul 24, 2024
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Update web/pandas/pdeps/00xx-string-dtype.md
Co-authored-by: Simon Hawkins <simonjayhawkins@gmail.com>
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jorisvandenbossche and simonjayhawkins authored May 5, 2024
commit 86f4e51bfc65f68866b9714409f06b9f3e136919
2 changes: 1 addition & 1 deletion web/pandas/pdeps/00xx-string-dtype.md
Original file line number Diff line number Diff line change
Expand Up @@ -101,7 +101,7 @@ To be able to move forward with a string data type in pandas 3.0, this PDEP prop
(but slower) version.
2. This default "string" dtype will follow the same behaviour for missing values
as our other default data types, and use `NaN` as the missing value sentinel.
3. The version that is not backed by PyArrow can reuse the existing numpy
3. The version that is not backed by PyArrow can reuse (with minor code additions) the existing numpy
object-dtype backed StringArray for its implementation.
4. We update installation guidelines to clearly encourage users to install
pyarrow for the default user experience.
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