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https://api.github.com/repos/pandas-dev/pandas/issues/24413 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24413/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24413/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24413/events | https://github.com/pandas-dev/pandas/issues/24413 | 393,909,284 | MDU6SXNzdWUzOTM5MDkyODQ= | 24,413 | ExtensionArray/Index/Series.repeat signature | {
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"followers_url": "https://api.github... | 2 | 2018-12-24T16:45:39Z | 2018-12-27T00:06:16Z | 2018-12-27T00:06:16Z | CONTRIBUTOR | null | In https://github.com/pandas-dev/pandas/pull/24395/ @jschendel mentioned that
> I think this could be restricted to repeat(self, repeats, axis=None) but I opted to match on the least restrictive function signature instead.
I agree and I think we should do that. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24414 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24414/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24414/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24414/events | https://github.com/pandas-dev/pandas/pull/24414 | 393,909,651 | MDExOlB1bGxSZXF1ZXN0MjQwNzk2NDg0 | 24,414 | REF/TST: Add more pytest idiom to resample/test_datetime_index.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24415 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24415/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24415/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24415/events | https://github.com/pandas-dev/pandas/issues/24415 | 393,924,356 | MDU6SXNzdWUzOTM5MjQzNTY= | 24,415 | BUG: to_datetime(Timestamp) utc argument | {
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In [7]: pd.to_datetime(pd.Timestamp(2018,1,1), utc=True)
Out[7]: Timestamp('2018-01-01 00:00:00')
# This should raise
In [7]: pd.to_datetime(pd.Timestamp(2018,1,1, tz='US/Pacific'), utc=True)
Out[7]: Timestamp('2018-01-01 00:00:00')
``` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24416 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24416/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24416/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24416/events | https://github.com/pandas-dev/pandas/issues/24416 | 393,932,117 | MDU6SXNzdWUzOTM5MzIxMTc= | 24,416 | DEPR: box argument in to_datetime and to_timedelta | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24417 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24417/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24417/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24417/events | https://github.com/pandas-dev/pandas/pull/24417 | 393,934,794 | MDExOlB1bGxSZXF1ZXN0MjQwODE0Mjc4 | 24,417 | TST: move mi tests from tests/indexing/ to tests/indexing/multiindex/ | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24418 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24418/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24418/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24418/events | https://github.com/pandas-dev/pandas/issues/24418 | 393,938,267 | MDU6SXNzdWUzOTM5MzgyNjc= | 24,418 | Performance issues with Pandas on compressed dataset | {
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] | closed | false | null | [] | null | 4 | 2018-12-24T23:32:41Z | 2018-12-25T01:19:20Z | 2018-12-25T01:19:07Z | NONE | null | Hello All,
#### Problem description
This question is about boosting Pandas' performance during stacking and unstacking operation. It seems if I convert `object` type to `category` and downgrade `float64`, then stacking and unstacking take a lot of time. If I don't compress the dataframe, this doesn't happen.
Th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24419 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24419/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24419/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24419/events | https://github.com/pandas-dev/pandas/pull/24419 | 393,941,521 | MDExOlB1bGxSZXF1ZXN0MjQwODE4NDU4 | 24,419 | REF: clearer Categorical/CategoricalIndex construction | {
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"followers_url": "https://api.github... | 12 | 2018-12-25T00:44:53Z | 2019-01-04T12:29:53Z | 2019-01-04T12:14:27Z | CONTRIBUTOR | null | Construction ATM of ``Categorical`` and ``CategoricalIndex`` each uses their own ways to construct the dtype. This makes the construction look more complex than it need to.
By collecting the dtype construction in a shared function, a lot of things become more simple. An additional advantage is that we can now have a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24420 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24420/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24420/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24420/events | https://github.com/pandas-dev/pandas/pull/24420 | 393,947,301 | MDExOlB1bGxSZXF1ZXN0MjQwODIyMTA5 | 24,420 | DOC: Adding missing module, causing sphinx not to find functions/methods | {
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This is because autosummary is processed before the `currentmodule` directive is injected to `{{ header }}`
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https://api.github.com/repos/pandas-dev/pandas/issues/24421 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24421/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24421/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24421/events | https://github.com/pandas-dev/pandas/pull/24421 | 393,948,260 | MDExOlB1bGxSZXF1ZXN0MjQwODIyNzYw | 24,421 | Add ref to docstring of Series:dtype | {
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"followers_url": "https://api.github... | 3 | 2018-12-25T02:18:34Z | 2019-01-02T20:26:07Z | 2018-12-29T17:03:16Z | CONTRIBUTOR | null | - [x] closes #24325
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Add ``:ref:`basics.dtypes` `` to the docstring of `dtype` of `pandas.Series`.
@TomAugspurger Should we also add your examples to `basics.dtypes` ?
```python
pd.Series([1, 2], dype=np.dtype("int... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24422 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24422/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24422/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24422/events | https://github.com/pandas-dev/pandas/issues/24422 | 393,965,270 | MDU6SXNzdWUzOTM5NjUyNzA= | 24,422 | pd.reaad_sql | {
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] | closed | false | null | [] | null | 1 | 2018-12-25T05:36:52Z | 2018-12-25T06:18:58Z | 2018-12-25T06:18:50Z | NONE | null | **mysql**

**pandas**
`pd.read_sql('select * from table1, table2', conn)` or `pd.read_sql('select * from table1, table2 where table1.mid=table2.mid', conn)`
**result**
 instead of legacy `..`.
- Double quote to prevent globbing and word splitting.
- Redirecting `echo` output to `stderr`.
- Checking if `flake8`, `cpplint` and `isort` Python modules are installed.
- Using 'cd ... || exit' or 'cd ... || return' in case cd fails.
- Double quote to prevent globbing and wor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24425 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24425/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24425/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24425/events | https://github.com/pandas-dev/pandas/issues/24425 | 393,999,788 | MDU6SXNzdWUzOTM5OTk3ODg= | 24,425 | to_sql to postgres database,error shows bug on insert statement | {
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] | closed | false | null | [] | null | 6 | 2018-12-25T10:08:19Z | 2019-04-10T02:30:18Z | 2019-04-10T02:30:18Z | NONE | null | #### Code Sample, a copy-pastable example if possible
engine = create_engine('postgresql://xx@xxxxxx:xxxxx/postgres')
re.to_sql('c_s_f_c',con=engine,schema='nlp_share',if_exists='append',index=False)
#### Problem description
The first few lines of error log are:
ProgrammingError: (psycopg2.ProgrammingError) colu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24426 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24426/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24426/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24426/events | https://github.com/pandas-dev/pandas/pull/24426 | 394,047,940 | MDExOlB1bGxSZXF1ZXN0MjQwODkyNDE2 | 24,426 | BUG-24408 Series.dt does not maintain own copy of index | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
Previously, the `dt` accessor maintains its own copy of the index, so in-place operations would cause the indexes to be out of sync. This PR changes the accessor so it just gets... | {
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Deleting the old unused `release.rst` here, which causes several warning because of duplicate labels.
CC: @TomAugspurger | {
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Additionally, those things have been addressed:
- Addressing technical debt in the doc build
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- at class-definition, iterate over all the methods in the class namespace and assert that the method's `__name__` matches the namespace name.
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https://api.github.com/repos/pandas-dev/pandas/issues/24432 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24432/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24432/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24432/events | https://github.com/pandas-dev/pandas/issues/24432 | 394,145,295 | MDU6SXNzdWUzOTQxNDUyOTU= | 24,432 | Inconsistent keys of GroupBy groups and indices | {
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>>> df = pd.DataFrame({'a': [1, 1, 2], 'b': [10, 10, 20], 'c': [100, 200, 300]})
>>> df.groupby(['a']).groups
{1: Int64Index([0, 1], dtype='int64'), 2: Int64Index([2], dtype='int64')}
>>> df.groupby(['a', 'b' ]).groups
{(1, 10): Int64Index([0, 1], dtype='int64'),
(2, 20): Int64Index([2], dtype='int64')... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24433 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24433/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24433/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24433/events | https://github.com/pandas-dev/pandas/issues/24433 | 394,159,778 | MDU6SXNzdWUzOTQxNTk3Nzg= | 24,433 | Issue warning in slow ExtensionArray base methods | {
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```
Some methods require casting the ExtensionArray to an ndarray of Python
objects with ``self.astype(object)``, which may be expensive. When
performance is a concern, we highly recommend overriding the following
methods:
* fillna
* dropn... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24434 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24434/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24434/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24434/events | https://github.com/pandas-dev/pandas/pull/24434 | 394,184,149 | MDExOlB1bGxSZXF1ZXN0MjQwOTkzNTUw | 24,434 | BUG: Pandas any() returning false with true values present (GH #23070) | {
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"followers_url": "https://api.github... | 4 | 2018-12-26T15:01:08Z | 2018-12-30T18:43:08Z | 2018-12-30T18:43:03Z | CONTRIBUTOR | null | - closes #23070
- 1 test added
- passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/24435 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24435/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24435/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24435/events | https://github.com/pandas-dev/pandas/issues/24435 | 394,205,126 | MDU6SXNzdWUzOTQyMDUxMjY= | 24,435 | DataFrame constructor silently ignores `dtype` keyword when values cannot be coerced | {
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"closed_at": "2021-07-02T07:59:17Z",
"closed_issues": 2396,
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"followers_url": "https://api.github.com/users/j... | 0 | 2018-12-26T17:00:33Z | 2021-06-01T13:52:10Z | 2021-06-01T13:52:10Z | CONTRIBUTOR | null | ```python
In [1]: import pandas as pd
In [2]: pd.DataFrame({'A': ['a', 'b']}, dtype=int)
Out[2]:
A
0 a
1 b
In [3]: pd.DataFrame({'A': ['a', 'b']}, dtype=int).dtypes
Out[3]:
A object
dtype: object
```
I propose that we warn that that will raise in the future. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24436 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24436/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24436/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24436/events | https://github.com/pandas-dev/pandas/issues/24436 | 394,212,042 | MDU6SXNzdWUzOTQyMTIwNDI= | 24,436 | DOC: Add offsets methods to the API reference | {
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"id": 211840... | closed | false | null | [] | null | 5 | 2018-12-26T17:45:36Z | 2018-12-27T16:46:28Z | 2018-12-27T16:46:28Z | MEMBER | null | The methods of classes in `pandas.tseries.offsets` are not in the API reference. Not sure if there is a reason for it, or it just needs to be implemented.
We have the classes added to:
https://pandas-docs.github.io/pandas-docs-travis/api.html#date-offsets
But most of the attributes and methods are not in `api.rs... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24437 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24437/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24437/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24437/events | https://github.com/pandas-dev/pandas/issues/24437 | 394,214,666 | MDU6SXNzdWUzOTQyMTQ2NjY= | 24,437 | DOC: Add dateutil to intersphinx | {
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"followers_url": "https://api.github... | 1 | 2018-12-26T18:02:24Z | 2018-12-27T16:47:24Z | 2018-12-27T16:47:24Z | MEMBER | null | Looks like we'ree using `dateutil` items in the `See Also` section, for example:
https://pandas-docs.github.io/pandas-docs-travis/generated/pandas.tseries.offsets.DateOffset.html
But, for sphinx to generate the links, we need `dateutil` configured as an intersphinx item in `doc/source/conf.py`. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24438 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24438/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24438/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24438/events | https://github.com/pandas-dev/pandas/pull/24438 | 394,223,196 | MDExOlB1bGxSZXF1ZXN0MjQxMDIyNTU4 | 24,438 | DOC: Fixing more doc warnings | {
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"followers_url": "https://api.github... | 3 | 2018-12-26T18:58:35Z | 2019-01-04T16:09:46Z | 2018-12-27T00:19:43Z | MEMBER | null | Follow up of #24430 and #24431. Addressing more doc warnings.
Also, forcing the docs Python code to be executed with the current directory `doc/`, so no matter where the actual current directory, operations like `pd.read_csv('data/baseball.csv')` always work. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24439 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24439/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24439/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24439/events | https://github.com/pandas-dev/pandas/issues/24439 | 394,225,373 | MDU6SXNzdWUzOTQyMjUzNzM= | 24,439 | DOC: FutureWarnings when building io.rst | {
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One of this error is caused in `io.rst`, and seem to be happening in `pyarrow`.
We need to research why the warning is happening, and find a solution for it (we may... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24440 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24440/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24440/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24440/events | https://github.com/pandas-dev/pandas/issues/24440 | 394,226,018 | MDU6SXNzdWUzOTQyMjYwMTg= | 24,440 | allow detection of whether a csv file contains a header row or not | {
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```python
df = pd.DataFrame({'A':[0,1,2,3], 'B':[0.5,0.2,0.3,0.2], 'C':['a','b','c','d']})
df.to_csv('file.csv', header=True, index=False)
hd= HeaderDetector()
df = pd.read_csv('file.csv', detect_header_obj=hd, detect_header=True)
return list(df.columns)
`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24441 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24441/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24441/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24441/events | https://github.com/pandas-dev/pandas/pull/24441 | 394,235,151 | MDExOlB1bGxSZXF1ZXN0MjQxMDMxNzI0 | 24,441 | BUG: to_datetime(Timestamp, utc=True) localizes to UTC | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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] | closed | false | null | [] | null | 5 | 2018-12-26T20:44:04Z | 2018-12-27T02:48:51Z | 2018-12-26T21:16:18Z | MEMBER | null | The cookbook shows an example of a file generated from a C program, that then is opened with pandas (numpy). The file doesn't exist, and the example can't run.
Adding the file (generated with the cookbook code shown in the example), and updating the path, so it's loaded form the right location.
https://pandas-doc... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```python
pd.Period("2000-12-31 23:59:59.999").to_timestamp()
```
returns: 2000-12-31 23:59:59.998999999
instead of 2000-12-31 23:59:59.999
It works correctly for other dates, e.g.
```python
pd.Period("2000-12-31 23:59:59.99").to_timestamp()
```
returns ... | {
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... | 3 | 2018-12-26T22:12:03Z | 2018-12-28T13:29:21Z | 2018-12-28T13:29:20Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
index = pd.MultiIndex.from_tuples(
[
(1, 'a'),
(2, 'a'),
(2, 'b'),
]
)
ex = pd.DataFrame(np.ones((3, 2), dtype=np.float16), index=index, columns=['foo', 'bar'])
ex.unstack(level=0)
```
#### Problem descript... | {
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Adding Date Offsets API documentation. Added in the same format as other sections. Detected what are properties and what are methods with the `callable` function. The order of the classes is the one already used. The order inside properties and methods is alphabetical.
@jreback In `timeseries.... | {
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- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Doesn't seem like a whatsnew entry is needed here as the behavior from a user perspective should remain the same.
cc @TomAugspurger | {
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xref #24446
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Moving the CircleCI job to Travis. In a separate PR, I'll some jobs not using mysql and postgres to Azure, to balance things, and make the whole CI finish earlier. | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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Given the size of the page, I think it'd make more sense to split the current page `api.rst` into different pages, one per section:
- `api/series.rst`
- `api/functions.rst`
- ...
The document is a... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ n/a] whatsnew entry
in this pass:
- follow-on from #24409 | {
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"followers_url": "https://api.github... | 3 | 2018-12-27T16:19:30Z | 2018-12-27T17:15:20Z | 2018-12-27T16:49:34Z | MEMBER | null | Small fix for the `DataFrame.between_time` entry | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` | {
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though seems to have been failing since dec 15th, the last updates: http://pandas-docs.github.io/pandas-docs-travis/ | {
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```python
import pandas as pd
s = pd.date_range('2018-01-01', '2018-01-10')
ss = pd.Series(s)
x = ss.unique()
x.dtype
# dtype('<M8[ns]')
ss.dtype == x.dtype
# True
[z in ss for z in x]
# [False, False, False, False, False, False, False, False, F... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
```python3
>>> import pandas as pd
>>> data = pd.DataFrame([[1, 2], [3, 4]], columns=['int1', 'int2'])
>>> data.clip_upper(1)
__main__:1: FutureWarning: clip_upper(threshold... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24459 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24459/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24459/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24459/events | https://github.com/pandas-dev/pandas/pull/24459 | 394,516,292 | MDExOlB1bGxSZXF1ZXN0MjQxMjQzMjkw | 24,459 | DOC: Fixing doc upload (no such remote origin) | {
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"followers_url": "https://api.github... | 2 | 2018-12-28T00:24:48Z | 2018-12-28T01:56:42Z | 2018-12-28T00:29:03Z | MEMBER | null | - [X] closes #24455
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Didn't test it locally, as it's quite complicated (besides needing a token, the script changes the global git config).
But I think this should fix the problem. Seems like the... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24460 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24460/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24460/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24460/events | https://github.com/pandas-dev/pandas/pull/24460 | 394,523,099 | MDExOlB1bGxSZXF1ZXN0MjQxMjQ3ODQz | 24,460 | CI: Moving 3 jobs from travis to azure | {
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Here I move 3 jobs from travis to azure, so we have 10 in travis, and 5 in azure. This should keep things balanced for now, and both CI systems should more or less be sy... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24461 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24461/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24461/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24461/events | https://github.com/pandas-dev/pandas/pull/24461 | 394,524,329 | MDExOlB1bGxSZXF1ZXN0MjQxMjQ4NzA5 | 24,461 | searchsorted, repeat broken off from #24024 | {
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"followers_url": "https://api.github... | 10 | 2018-12-28T01:38:18Z | 2018-12-28T23:27:38Z | 2018-12-28T22:59:33Z | MEMBER | null | Along with fixes for check_compatible_with discussed in #24024, and additional tests for `searchsorted` and `_check_compatible_with`
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https://api.github.com/repos/pandas-dev/pandas/issues/24462 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24462/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24462/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24462/events | https://github.com/pandas-dev/pandas/pull/24462 | 394,524,765 | MDExOlB1bGxSZXF1ZXN0MjQxMjQ5MDI3 | 24,462 | DOC: Splitting api.rst in several files | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
@TomAugspurger do you know why moving the api `autosummary` to a directory, make the build not find the generated files? For what I understand, the `:toctree: generated/` is use... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24463 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24463/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24463/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24463/events | https://github.com/pandas-dev/pandas/pull/24463 | 394,532,307 | MDExOlB1bGxSZXF1ZXN0MjQxMjU0MDk1 | 24,463 | Implement Delegate parts of #24024 | {
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"followers_url": "https://api.github... | 12 | 2018-12-28T02:45:56Z | 2018-12-28T15:56:46Z | 2018-12-28T14:15:52Z | MEMBER | null | This one got a little bit messy because until we move all the way away from inheritance there are some methods that need to be overwritten, so the `@delegate_names` calls are a bit more verbose than in #24024. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24464 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24464/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24464/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24464/events | https://github.com/pandas-dev/pandas/issues/24464 | 394,535,284 | MDU6SXNzdWUzOTQ1MzUyODQ= | 24,464 | Period and PeriodIndex for multiple of frequency behave unexpectedly | {
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```python
import pandas as pd
pd.show_versions()
atnow=pd.Timestamp.now()
aaa = pd.Period(atnow, freq='3W')
print(aaa.start_time)
2018-12-24 00:00:00
aaa.start_time
Out[55]: Timestamp('2018-12-24 00:00:00')
aaa.end_time
Out[56]: Timestamp('2019-01-13 23... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24465 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24465/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24465/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24465/events | https://github.com/pandas-dev/pandas/issues/24465 | 394,573,052 | MDU6SXNzdWUzOTQ1NzMwNTI= | 24,465 | tz info is lost in min/max of single column data frame | {
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"followers_url": "https://api.github... | 2 | 2018-12-28T07:52:02Z | 2019-01-02T18:20:35Z | 2019-01-02T18:20:35Z | NONE | null | #### Code Sample
```python
import pandas as pd
# creating data frame
df = pd.DataFrame({"date": ['25-12-2018', '31-12-2018']})
# turning the date string into a tz-aware datetime object
df["date"] = pd.to_datetime(df["date"], utc=True)
# we have indeed a column with tz-aware datetimes
print(df.dtypes)
#... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24466 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24466/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24466/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24466/events | https://github.com/pandas-dev/pandas/issues/24466 | 394,621,856 | MDU6SXNzdWUzOTQ2MjE4NTY= | 24,466 | nonexistent=shift in tz_localize not precise | {
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"followers_url": "https://api.github... | 1 | 2018-12-28T12:02:38Z | 2019-01-03T03:46:02Z | 2019-01-03T03:46:02Z | CONTRIBUTOR | null | #### Problem description
As of today (2018-12-28), I read on http://pandas-docs.github.io/pandas-docs-travis/timeseries.html#nonexistent-times-when-localizing that
> A DST transition may also shift the local time ahead by 1 hour creating nonexistent local times. The behavior of localizing a timeseries with nonex... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24467 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24467/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24467/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24467/events | https://github.com/pandas-dev/pandas/pull/24467 | 394,641,978 | MDExOlB1bGxSZXF1ZXN0MjQxMzM3MjA5 | 24,467 | Bug : Fixes #20911 | {
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"followers_url": "https://api.github... | 7 | 2018-12-28T13:54:16Z | 2019-01-03T18:16:23Z | 2018-12-28T23:35:54Z | CONTRIBUTOR | null | - [x] closes #20911
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
**Before**
```python
In [1]: import pandas as pd
In [2]: df1 = pd.DataFrame([[1., 0.], [3., 0.]], columns... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24468 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24468/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24468/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24468/events | https://github.com/pandas-dev/pandas/issues/24468 | 394,681,957 | MDU6SXNzdWUzOTQ2ODE5NTc= | 24,468 | read_csv should default to index_col = 0 | {
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"descriptio... | open | false | null | [] | null | 8 | 2018-12-28T17:15:35Z | 2021-06-25T04:34:56Z | null | NONE | null | #### Code Sample
```python
df.to_csv(file_path)
df = pd.read_csv(file_path)
```
#### Problem description
Currently, the default CSV writing behaviour is to write the index column. The default reading behaviour, however, is to assume there is no index column in the file. This is not intuitive when writing and... | {
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```python
>>> import pandas as pd
>>> pd.__version__
u'0.23.4'
>>>
>>> df = pd.DataFrame({
... 'x': [1,1,2,2,3,3],
... 'y': [False, False, False, True, True, True]
... })
>>>
>>> print df.loc[df['x'] < 3,:].groupby('x')['y'].sum()
x
1 False
2 True
Name: y, dtype: bool
>>> print df.loc[... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24471 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24471/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24471/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24471/events | https://github.com/pandas-dev/pandas/issues/24471 | 394,714,415 | MDU6SXNzdWUzOTQ3MTQ0MTU= | 24,471 | ENH: Add sort parameter to other set operations if possible | {
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... | 4 | 2018-12-28T20:34:11Z | 2021-06-25T04:35:45Z | null | CONTRIBUTOR | null | As part of #22811 I added a ``sort`` parameter to the ``difference`` set operation with a default of ``True``. The other set operations do not have this parameter but some of them sort by default if possible. Should we add a ``sort`` parameter to the other set operations too if possible for consistency?
TODO:
- [x]... | {
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cc @gfyoung | {
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```python
import gi
gi.require_version("Gtk", "3.0")
gi.require_version("WebKit2", "4.0")
from gi.repository import Gtk, GdkPixbuf, Gdk, WebKit2, GObject
from urllib import parse as urlparse
import os, sys
import sqlite3 as s
import pandas as pd
import r... | {
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```python
import pandas as pd
s = pd.Series([None, 'ad', 'bc', 'bd'], index=pd.MultiIndex.from_product([['a', 'b'], ['c', 'd']]))
s.loc['a', 'c'] # raises IndexingError: Too many indexers
s.loc(axis=0)['a', 'c'] # workaround
```
#### Problem description
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24475 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24475/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24475/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24475/events | https://github.com/pandas-dev/pandas/pull/24475 | 394,737,349 | MDExOlB1bGxSZXF1ZXN0MjQxNDA5MzYy | 24,475 | DOC: Use top-level pd.IntervalArray in doc examples | {
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"followers_url": "https://api.github... | 1 | 2018-12-28T23:24:39Z | 2018-12-29T01:11:25Z | 2018-12-29T01:11:21Z | MEMBER | null | Follow-up to #23581
Minor changes to make sure `pd.IntervalArray` is used in the doc examples instead of `pd.core.arrays.IntervalArray`. Pretty sure this is all the instances of them; I tried to be diligent in marking these with a TODO, and can't find any additional examples via a quick search. | {
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along the way fixes+tests `DTA.__eq__(ndarray[object])` bug | {
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"followers_url": "https://api.github... | 5 | 2018-12-29T02:40:29Z | 2019-01-02T20:18:01Z | 2018-12-29T14:04:18Z | CONTRIBUTOR | null | Split from #24024.
This is mostly just a move from PeriodArray to DatetimelikeArray, with period-specific things replaced with `_check_compatible_with`, `_unbox_scalar`, etc.
This is under-tested at the moment, just the basics are actually hit. But I think this is OK for two reasons
1. I'll immediately rebase ... | {
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"followers_url": "https://api.github... | 5 | 2018-12-29T03:52:43Z | 2018-12-29T16:49:09Z | 2018-12-29T16:44:27Z | MEMBER | null | Fix tests in tests_datetimelike that are passing incorrect `freq`s
Implements some but not all of the dtype-validation tests in #24024; retains extant error messages instead of those raises in 24024.
Some stream-lining could be done if we change the behavior of `validate_tz_from_dtype`, which includes:
```
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```bash
pytest -x pandas
...
============================================= FAILURES =============================================
_____________________________________ test_cross_engine_pa_fp ______________________________________
[gw0] darwin -- Python 3.7.... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This pr aims to make the failing test_parquet not strict since it now passes at least on my machine of Mac 10.14 running the latest python 3.7 and conda. | {
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The min/max implementations are unchanged from 24024. In an upcoming pass I'll see if we can pawn any more of it off to nanops.
Tests are verbatim from 24024. | {
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```
_____________________________ ERROR at setup of TestPostgreSQLAlchemyConn.test_read_sql[load_iris_data0] ______________________________
cls = <pandas.tests.io.test_sql.TestPostgreSQLAlchemyConn object at ... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
There are still some tests that are failing on Travis, but they appear to be unrelated. I'll see what CI returns for the PR and address any tests that continue to fail that mig... | {
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"de... | open | false | null | [] | null | 0 | 2018-12-29T20:35:19Z | 2021-06-25T04:36:25Z | null | MEMBER | null | Follow up to #24423 and related to #11544 the signatures of functions for parsing excel have slight nuances to them and allow for the passing of keyword args, which may not necessarily be useful.
There's some cleanup here which could be done to align signatures and (maybe) remove keyword arguments | {
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from pytest 3.3, the return value from readouterr changed to a namedtuple with two attributes, out and err.
this change in the style of https://docs.pytest.org/en/latest/capture.html#accessing-captured-output-from-a-test-function is to ensure that the ... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```
[ 93.04%] ··· timeseries.DatetimeAccessor.time_dt_accessor_year ok
[ 93.04%] ··· ============ =============
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Since #24450 we don't skip the db tests if the connection fails. That's useful, because the CI won't fail silently if there is any problem with the databases. But as reported in #24485, it's common to have `pymysql` or `psycopg2` installed locally, but no database connection. This is making the t... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Per @sdementen suggestion, adding additional options for `nonexistent` that would prove more useful. Let me know if this is what you had in mind.
`shift` is now `shift_forwar... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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This PR alters the `ExtensionArrayFormatter` such that if it receives a categorical series with only integers and `NaN`, it will print the integers as integers instead of conver... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24495 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24495/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24495/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24495/events | https://github.com/pandas-dev/pandas/pull/24495 | 394,861,371 | MDExOlB1bGxSZXF1ZXN0MjQxNDg0NzQ1 | 24,495 | BUG: fix .iat assignment creates a new column | {
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"followers_url": "https://api.github... | 4 | 2018-12-30T10:22:57Z | 2018-12-30T22:47:23Z | 2018-12-30T22:47:20Z | CONTRIBUTOR | null | - in response to gh-23236
- changes the fallback of .iat to .iloc on type error
using .iat to assign incompatible value after this change:
```python
>>> import pandas as pd
>>> df = pd.DataFrame({"a":[0]})
>>> df
a
0 0
>>> df.iat[0,0] = None
>>> df
a
0 NaN
```
- [x] closes #23236
- [x] tests ... | {
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separate PR to follow to replace `capture_stdout` | {
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"followers_url": "https://api.github... | 3 | 2018-12-30T14:30:40Z | 2018-12-30T19:47:51Z | 2018-12-30T19:47:49Z | MEMBER | null | Just fixing some typos that are breaking references in the docs.
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**travis**
```
ci/prep_cython_cache.sh
ci/install_travis.sh -> locale, download/install conda, ccache, create env, setup.py develop
ci/submit... | {
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Having few top-level sections that group the pages, and some hierarchy would make things simpler to find. Here there is a prototype of how having few top-level sections could look like: https://pandas-dev.github.... | {
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Cleaning up the date parsing portion of the read_sql functionality. Also checking that #15119 can be closed as we are already testing the solution. | {
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- constructor changes
- fillna, since in local testing it alters DTA inplace, so not ready
`value_counts` from 24024 has small change to make sure the tz-aware case is correct regardless of how the constructor cha... | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] passes/runs `python make.py --single pandas.related-doc`
Fix errors which are reported by `scripts/validate_docstrings.py`:
* pandas.read_excel
* pandas.io.formats.style.Styler.to_exce... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/24505 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24505/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24505/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24505/events | https://github.com/pandas-dev/pandas/issues/24505 | 394,901,262 | MDU6SXNzdWUzOTQ5MDEyNjI= | 24,505 | Cannot build documents | {
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```python
python setup.py build_ext --inplace -j 4
python -m pip install -e .
python make.py --single pandas.read_excel
```
#### Problem description
```sh
/Users/johndoe/pandas/doc/source/index.rst:110: WARNING: toctree references excluded document 'genera... | {
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"followers_url": "https://api.github... | 1 | 2018-12-30T21:21:58Z | 2018-12-30T21:37:55Z | 2018-12-30T21:37:50Z | MEMBER | null | As reported in #24503#issuecomment-450586329, building a single document of the API (e.g. `./doc/make.py html --single=pandas.read_excel`) is broken after splitting `api.rst` in multiple files in #24462.
This PR fixes it. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24507 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24507/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24507/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24507/events | https://github.com/pandas-dev/pandas/issues/24507 | 394,906,059 | MDU6SXNzdWUzOTQ5MDYwNTk= | 24,507 | DOC: Missing PandasArray methods in API | {
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```
/home/mgarcia/src/pandas/doc/source/api/generated/pandas.arrays.PandasArray.all.rst: WARNING: document isn't included in any toctree
/home/mgarcia/src/pandas/doc/source/api/generated/pandas.arrays.PandasArray.any.rst: WARNING... | {
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"followers_url": "https://api.github... | 4 | 2018-12-30T22:33:37Z | 2018-12-31T10:31:27Z | 2018-12-31T10:31:14Z | MEMBER | null | Follow up of the splitting of `api.rst` in #24462.
- Making better use of the titles and subtitles (in date offsets, the class name, and the properties and methods sections where at the same level for example).
- We were inconsistently using `Attributes` and `Properties`, left just properties, as it was the most co... | {
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```python
>>> import pandas as pd
>>> pd.__version__
'0.23.4'
>>> df = pd.DataFrame({'A': [1,2], 'B': ['a','b']})
>>> # BEFORE
>>> pd.io.json.build_table_schema(df, index=0)['pandas_version']
'0.20.0'
>>> #... | {
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"followers_url": "https://api.github... | 6 | 2018-12-31T00:00:13Z | 2019-01-01T13:00:06Z | 2019-01-01T01:12:20Z | CONTRIBUTOR | null | Pull request to solve : 24404
- [ ] closes #24404
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/24511 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24511/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24511/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24511/events | https://github.com/pandas-dev/pandas/issues/24511 | 394,920,311 | MDU6SXNzdWUzOTQ5MjAzMTE= | 24,511 | Unable to read first n rows from parquet file. | {
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"id": 685114413,
"name": "IO Parquet",
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df = pd.read_parquet(path= 'filepath', nrows = 10)
```
#### Problem description
I have a parquet file and I want to read first n rows from the file into a pandas data frame. I did not find any way to do this in the documentation. I tried the 'nrows' and 'skiprows' parameter, but it did not work with t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24512 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24512/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24512/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24512/events | https://github.com/pandas-dev/pandas/pull/24512 | 394,959,587 | MDExOlB1bGxSZXF1ZXN0MjQxNTQ4NTA5 | 24,512 | MAINT: Use context manager in test_c_parser_only | {
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"followers_url": "https://api.github... | 3 | 2018-12-31T10:27:49Z | 2018-12-31T18:00:14Z | 2018-12-31T13:14:41Z | MEMBER | null | Specifically, use context manager for `pytest.raises`.
xref #24332. | {
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