instance_id stringclasses 4
values | text stringclasses 4
values | repo stringclasses 1
value | base_commit stringclasses 4
values | problem_statement stringclasses 4
values | hints_text stringclasses 4
values | created_at stringclasses 4
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pandas-dev__pandas-24759 | You will be provided with a partial code base and an issue statement explaining a problem to resolve.
<issue>
BUG: DataFrame with tz-aware data and max(axis=1) returns NaN
I have a dataframe looks like this, and its column 2 is missing:
 returns NaN
I have a dataframe looks like this, and its column 2 is missing:
When I try to select the max date in each row, I got all NaN in return:
 and df_datetime64.info()
Hello! Hijacking this issue as I've also verified this behaviour (actually, it took a while to discover after upgrading to 0.19.0 and discovering some odd dropping of timezones - see #14524, which is a duplication of #13905). This behaviour was masked to my program ... | 2019-01-14T00:28:56Z | <patch>
diff --git a/doc/source/whatsnew/v0.24.0.rst b/doc/source/whatsnew/v0.24.0.rst
--- a/doc/source/whatsnew/v0.24.0.rst
+++ b/doc/source/whatsnew/v0.24.0.rst
@@ -1647,6 +1647,7 @@ Timezones
- Bug in :meth:`DataFrame.any` returns wrong value when ``axis=1`` and the data is of datetimelike type (:issue:`23070`)
- ... | [] | [] | |||
pandas-dev__pandas-37834 | You will be provided with a partial code base and an issue statement explaining a problem to resolve.
<issue>
read_json with dtype=False infers Missing Values as None
Run against master:
```python
In [13]: pd.read_json("[null]", dtype=True)
Out[13]:
0
0 NaN
In [14]: pd.read_json("[null]", dtype=False)
Ou... | pandas-dev/pandas | 793b6351f59b42ec6a0dc42ccce679a5cf232a1a | read_json with dtype=False infers Missing Values as None
Run against master:
```python
In [13]: pd.read_json("[null]", dtype=True)
Out[13]:
0
0 NaN
In [14]: pd.read_json("[null]", dtype=False)
Out[14]:
0
0 None
```
I think the second above is an issue - should probably return `np.nan` instea... | I _think_ that this isn't a bug. NaN is a numerical value. If `dtype=False` we shouldn't infer it to be a numerical value.
But if it it is an issue I can do this one.
Yea there is certainly some ambiguity here and @jorisvandenbossche might have some thoughts but I don't necessarily think the JSON `null` would map be... | 2020-11-14T16:52:13Z | <patch>
diff --git a/doc/source/whatsnew/v1.2.0.rst b/doc/source/whatsnew/v1.2.0.rst
--- a/doc/source/whatsnew/v1.2.0.rst
+++ b/doc/source/whatsnew/v1.2.0.rst
@@ -653,6 +653,7 @@ I/O
- Bug in :func:`read_html` was raising a ``TypeError`` when supplying a ``pathlib.Path`` argument to the ``io`` parameter (:issue:`37705... | [] | [] | |||
pandas-dev__pandas-24725 | You will be provided with a partial code base and an issue statement explaining a problem to resolve.
<issue>
DataFrame creation incorrect error message
The problem was already mentioned as part of other issues, but still persists in 0.22
https://github.com/pandas-dev/pandas/issues/8020
https://github.com/blaze/bla... | pandas-dev/pandas | 17a6bc56e5ab6ad3dab12d3a8b20ed69a5830b6f | DataFrame creation incorrect error message
The problem was already mentioned as part of other issues, but still persists in 0.22
https://github.com/pandas-dev/pandas/issues/8020
https://github.com/blaze/blaze/issues/466
Reported both expected shape and input data shape are both transposed which causes a lot of c... | the first example is wrong. The block manager reports this, but doesn't flip the dim (like we do for everything else), so would welcome a PR to correct that.
I don't see a problem with the 2nd. You gave a 1, 4 array. That's the same as the dim of the frame, so it constructs. | 2019-01-11T15:13:07Z | <patch>
diff --git a/doc/source/whatsnew/v0.24.0.rst b/doc/source/whatsnew/v0.24.0.rst
--- a/doc/source/whatsnew/v0.24.0.rst
+++ b/doc/source/whatsnew/v0.24.0.rst
@@ -1816,6 +1816,7 @@ Reshaping
- Bug in :func:`DataFrame.unstack` where a ``ValueError`` was raised when unstacking timezone aware values (:issue:`18338`)
... | [] | [] | |||
pandas-dev__pandas-25419 | You will be provided with a partial code base and an issue statement explaining a problem to resolve.
<issue>
Series.str.casefold
`Series.str.lower` implements `str.lower`, as expected. There are also corresponding `Series` methods for the other Python 2 string casing methods. However, Python 3's `str.casefold` is miss... | pandas-dev/pandas | 85572de5e7bb188cfecc575ee56786406e79dc79 | Series.str.casefold
`Series.str.lower` implements `str.lower`, as expected. There are also corresponding `Series` methods for the other Python 2 string casing methods. However, Python 3's `str.casefold` is missing. [Casefold](https://docs.python.org/3/library/stdtypes.html#str.casefold) improves string equality and oth... | can u update with the doc reference for casefold in python docs
certainly would take as an enhancement PR | 2019-02-23T19:41:19Z | <patch>
diff --git a/doc/source/reference/series.rst b/doc/source/reference/series.rst
--- a/doc/source/reference/series.rst
+++ b/doc/source/reference/series.rst
@@ -409,6 +409,7 @@ strings and apply several methods to it. These can be accessed like
:template: autosummary/accessor_method.rst
Series.str.capit... | [] | [] |
README.md exists but content is empty.
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