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https://api.github.com/repos/pandas-dev/pandas/issues/33817 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33817/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33817/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33817/events | https://github.com/pandas-dev/pandas/pull/33817 | 607,352,265 | MDExOlB1bGxSZXF1ZXN0NDA5MzQzMDMx | 33,817 | TST: Separate expanding_apply and rolling_apply out of consistency | {
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This is the second step for breaking up giant consistency test, this PR separates consistency tests about `expanding_apply` and `rolling_apply` out from their big `expanding_consistency` and `rolling_consistency` tests.
The followup after this would be removing `self.data` initiation from `ini... | {
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@pytest.mark.xfail(
StrictVersion(dateutil.__version__.split(".dev")[0]) < StrictVersion("2.7.0"),
reason="Bug in dateutil < 2.7.0 when parsing old dates: Period('0001-01-07', 'D')",
strict=False,
)
```
removed in #33680 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33819 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33819/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33819/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33819/events | https://github.com/pandas-dev/pandas/issues/33819 | 607,448,798 | MDU6SXNzdWU2MDc0NDg3OTg= | 33,819 | BUG: Missing tick labels on twinned axes | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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Control the NA value used when converting a DataFrame to an ndarray.
#### Describe the solution you'd like
Add an `na_value` argument to `DataFrame.to_numpy()`. Has the same meaning as `na_value` in `Series.to_numpy`, except it applies to all the columns.
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- [x] tests added / passed
- [x] passes `black pandas`
=> `command not found`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
=> `command not found`
- [x] whatsnew entry
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Ditto for `_shallow_copy()` with no args. | {
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In the course of parametrizing tests, found a failing case. The edit in ops.dispatch fixes it. | {
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- [ ] I have confirmed this bug exists on the latest version of pandas.
I'm working on updating pint-pandas to 0.25.1 before the latest version...
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Cod... | {
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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.str.title.html
so that :
s = pd.Series(['snake', 'CAPITALS', 'IdNumber'])
will be:
```
s
0 snake
1 capitals
2 id_number
dtype: object... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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dti = pd.date_range('2016-01-01', periods=5)
dti.value_counts().index.freq # <-- None
dti.factorize()[1].freq # <-- None
mi = pd.MultiIndex.from_arrays([dti, dti])
mi.levels[0].freq # <-- None
```
There is a comment in tests.indexes.datetimes.test_datetime `test_factorize` suggesting that freq... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
xref #33830 | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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I cannot import pandas when running the script which belongs to other directories.
```python
# workdir/src/sample.py
import numpy as np
import pandas as pd
```
```bash
/workdir$ python src/sample.py
```
```
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- [x] I have confirmed this bug exists on the latest version of pandas.
---
No groups are found when using a pd.Series instead of a list in a groupby(axis=1)
```python
>>> df = pd.DataFrame(np.arange(16).reshape(4, 4), columns=['A', 'B', '... | {
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Putting this in a PR for discussion. It definitely needs more work on kicking the arguments through properly in the python interface but someone who has strong opinions about that can hopefully step in and then will refactor and test etc.
The "content" is really just the cython change.
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- [x] I have confirmed this bug exists on the latest version of pandas.
#### Code Sample, a copy-pastable example
**1.** first I type in the date in Ms excel's B2 cell in local language format, as you can read from the picture  I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33850 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33850/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33850/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33850/events | https://github.com/pandas-dev/pandas/issues/33850 | 608,517,519 | MDU6SXNzdWU2MDg1MTc1MTk= | 33,850 | ImportError: cannot import name 'TimeGrouper' from 'pandas' (F:\Anaconda\lib\site-packages\pandas\__init__.py)BUG: | {
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<ipython-input-64-1268709bbfb0> in <module>
----> 1 from pandas import TimeGrouper
2 groups = series.groupby(TimeGrouper('A'))
3 years = DataFrame()
4 for name, group in groups:
5 years[name.year] = group.value... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33851 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33851/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33851/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33851/events | https://github.com/pandas-dev/pandas/issues/33851 | 608,523,262 | MDU6SXNzdWU2MDg1MjMyNjI= | 33,851 | DOC: Single Document For Code Guidelines | {
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... | 17 | 2020-04-28T18:27:04Z | 2021-08-29T10:08:29Z | null | NONE | null | #### Location of the documentation
https://pandas.pydata.org/docs/development/code_style.html
https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#code-standards
#### Documentation problem
Most of the documentation for the coding style guidelines is limited and in multiple locations. Muc... | {
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https://pandas.pydata.org/pandas-docs/stable/development/contributing.html#code-standards

#### Documentation problem
There is a broken link on Development -> Cont... | {
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... | closed | false | null | [] | null | 2 | 2020-04-28T18:34:18Z | 2021-07-31T04:51:58Z | 2021-07-31T04:51:58Z | NONE | null | Here is how to reproduce the bug: run this script:
import pandas as pd
pd.read_excel('test.xlsx')
# idem with pd.read_excel('test.xlsx', engine='openpyxl')
# so it's not specific to xlrd or openpyxl
with this [test.xlsx](https://gget.it/tuha/test.xlsx) file:
a | b
-- | --
12 | 1
14 | 1
1... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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Pandas always calls the dataset in the hdf5 file `"table"`.
This is very inconvenient, when there are outside requirements on how the file should
look like and basically prohibits the use of pandas to write hdf5 in a predefined schema.
#### Describe the solutio... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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Brought up by @jbrockmendel seems the `xfail` has been removed and version has been unpinned, just a tiny PR to remove this `TODO` from tests. probably people who fixed it forgot to remove this.
cc @jbrockmendel
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I am sorry that this PR looks huge again. @jreback
But this seems a bit unavoidable, and please allow me to briefly explain this, and it is quite simple actually:
1. move `_create_consistency_data` method to `conftest.py` and fixturize it as `consistency_data`.
2. Use `consistency_data` as fixture, ... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
Hi maintainers, I'd like to start with saying I'm not entirely sure if this is a `... | {
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---
#### Code Sample, a copy-pastable example
```python
# Your code here
import... | {
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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.apply.html
#### Documentation problem
In commit f625730eb the documentation of `df.apply` was changed, and a note regarding `df.apply` behavior to call the applied function twice on the first column/r... | {
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- [ ] closes #33879
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [x] closes #28330
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- [x] tests added / passed
- [x] passes `black pandas`
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ATM `dtype == "M8[ns, UTC]"` fails while `dtype == "datetime64[ns, UTC]"` succeeds | {
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https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.reindex.html#pandas.DataFrame.reindex
#### Documentation problem
Returns
DataFrame with changed index.
#### Suggested fix for documentation
fix= a NEW DataFrame instance with changed index,NOT chan... | {
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- [X] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample
```python
import pandas as pd
def main():
col1 = [('A... | {
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```
=================================== FAILURES ===================================
___ TestSeriesDtypes.test_astype_gener... | {
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I am trying to interpolate a dataframe of mxn with na values. The default axis is 0 (index), so if I were to interpolate at axis 0, df should fill missing values (say at index n) for each column with values from index n-1 and n+1 (or n+p, where n+p is the closest index with a valid value). This holds for ... | {
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But at least `create_block_manager_from_blocks` is used by dask (in partd: https://github.com/dask/partd/blob/master/partd/pandas.py), so dask's tests are failing with pandas master (cc @TomAugspurge... | {
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After using groupby on a Dataframe to group and sum column data into a series I then converted the result back to a Dataframe using .to_frame method which I then converted to html for output to a file. This appears to work well except that the header row has a zero in the last column which I... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33894 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33894/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33894/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33894/events | https://github.com/pandas-dev/pandas/issues/33894 | 609,788,991 | MDU6SXNzdWU2MDk3ODg5OTE= | 33,894 | ENH: Construct pandas dataframe from function | {
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"followers_url": "https://api.github.com/users/jorisva... | 10 | 2020-04-30T10:14:14Z | 2020-08-21T17:05:35Z | 2020-04-30T16:03:53Z | NONE | null | It would be great if we could construct a `pd.DataFrame` from a function.
#### Describe the solution you'd like
```python
import pandas as pd
import numpy as np
def my_random():
return np.random.rand() + 1
df = pd.DataFrame(my_random, index=range(10), columns=range(15))
```
The output would be eq... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33895 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33895/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33895/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33895/events | https://github.com/pandas-dev/pandas/issues/33895 | 609,815,667 | MDU6SXNzdWU2MDk4MTU2Njc= | 33,895 | BUG: resample().nearest() throws an exception if tz is provided for the DatetimeIndex | {
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```python
import pandas as pd
df = pd.DataFrame(range(5), index=pd.date_range('1/1/2000', periods=5, freq='H', tz='UTC'))
print(df) gives:
2000-01-01 00:00:00+00:00 0
2000-01-01 01:00:00+00:00 1
2000-01-01 02:00:00+00:00 2
2000-01-01 03:00:00+00:00 3
2000-01-01 0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33896 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33896/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33896/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33896/events | https://github.com/pandas-dev/pandas/issues/33896 | 610,038,741 | MDU6SXNzdWU2MTAwMzg3NDE= | 33,896 | FEATURE: Type hints for DataFrame, Series, etc. | {
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] | closed | false | null | [] | null | 1 | 2020-04-30T14:07:02Z | 2020-04-30T16:01:38Z | 2020-04-30T16:01:23Z | NONE | null | #### Is your feature request related to a problem?
Type hinting with `pd.DataFrame` and `pd.Series` (`def data_science_etl_function(input_data_frame: pd.DataFrame) -> pd.DataFrame:`) does not document ETL APIs build on top of `pandas` w.r.t. `DataFrame` and/or `Series` meta-data like shape, indices, etc.
#### Des... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33897 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33897/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33897/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33897/events | https://github.com/pandas-dev/pandas/issues/33897 | 610,148,067 | MDU6SXNzdWU2MTAxNDgwNjc= | 33,897 | ENH:New API of indexing | {
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the old indexing API some time is lack of function
so I design this indexing API with more functions and easy rules
#### loc mg cc and supporting equipment
```python
1) #directly indexing, will treat the index as ".iloc" index
eg. df[1,2] <==> df.iloc[1,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33899 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33899/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33899/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33899/events | https://github.com/pandas-dev/pandas/issues/33899 | 610,275,400 | MDU6SXNzdWU2MTAyNzU0MDA= | 33,899 | BUG: Series construction with dtype=ArrowBoolDtype() and index but no data fails | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
>>> import numpy as np
>>... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
>>> import numpy as np
>>> ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33901 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33901/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33901/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33901/events | https://github.com/pandas-dev/pandas/issues/33901 | 610,323,921 | MDU6SXNzdWU2MTAzMjM5MjE= | 33,901 | Series construction with dtype=JSONDtype() and index with collection as 'scalar' | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
>>> import pandas as pd
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While working on another PR, and @WillAyd brought up `try_sort`, and after a quick look, I don't think `try_sort` is needed in that check method in `indexes/api.py`. (I also dont think it is right to have try_sort there), so deprecate it.
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"followers_url": "https://api.github.com/users/j... | 2 | 2020-04-30T20:43:11Z | 2020-07-14T20:21:57Z | 2020-07-14T20:21:57Z | CONTRIBUTOR | null | ERROR: type should be string, got "https://github.com/pandas-dev/pandas/pull/30209/ has some changes to describe for datelike data. I think the changes count as API breaking and should wait until a 2.0, possibly with a deprecation warning.\r\n\r\ncc @david-cortes, @jreback.\r\n\r\nmaster:\r\n\r\n```python\r\nIn [1]: import pandas as pd\r\n\r\nIn [2]: pd.Series(pd.date_range('2000', periods=10)).describe()\r\nOut[2]:\r\ncount 10\r\nmean 2000-01-05 12:00:00\r\nmin 2000-01-01 00:00:00\r\n25% 2000-01-03 06:00:00\r\n50% 2000-01-05 12:00:00\r\n75% 2000-01-07 18:00:00\r\nmax 2000-01-10 00:00:00\r\ndtype: object\r\n\r\nIn [3]: pd.__version__\r\nOut[3]: '1.1.0.dev0+1417.g12c9c626d'\r\n```\r\n\r\n1.0.2:\r\n\r\n```python\r\nIn [1]: import pandas as pd\r\n\r\nIn [2]: pd.Series(pd.date_range('2000', periods=10)).describe()\r\nOut[2]:\r\ncount 10\r\nunique 10\r\ntop 2000-01-08 00:00:00\r\nfreq 1\r\nfirst 2000-01-01 00:00:00\r\nlast 2000-01-10 00:00:00\r\ndtype: object\r\n\r\nIn [3]: pd.__version__\r\nOut[3]: '1.0.2'\r\n```\r\n\r\n\r\n" | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33904 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33904/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33904/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33904/events | https://github.com/pandas-dev/pandas/pull/33904 | 610,386,151 | MDExOlB1bGxSZXF1ZXN0NDExODM1ODI1 | 33,904 | BUG: DTI/TDI intersection result names | {
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Also improve _can_fast_intersect to catch the missing case where we can fast-intersect. Identified that _most_ of the remaining places where we do... | {
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Here's a test discussed in #28552. `mean` and other aggregates except for `min` and `max` are not covere... | {
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No longer used internally. | {
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- [X] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample
```python
import pandas as pd
cat = pd.Categorical(['A', 'B'... | {
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- [x] closes #33704
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Fixes the following issue:
```python
import pandas as pd
df = pd.DataFrame(dict(x=pd.to_datetime([])))
df.max()
```
throws a `V... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33912 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33912/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33912/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33912/events | https://github.com/pandas-dev/pandas/issues/33912 | 610,657,044 | MDU6SXNzdWU2MTA2NTcwNDQ= | 33,912 | BUG: cut() precision at the left end does not appear as specified (3 digits by default) | {
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"id": 16... | open | false | null | [] | null | 7 | 2020-05-01T09:14:16Z | 2020-11-25T10:53:16Z | null | NONE | null | - [x] I have checked that this issue has not already been reported.
- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33913 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33913/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33913/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33913/events | https://github.com/pandas-dev/pandas/issues/33913 | 610,715,255 | MDU6SXNzdWU2MTA3MTUyNTU= | 33,913 | Performance regression in rolling.Quantile.time_quantile | {
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... | 8 | 2020-05-01T11:54:35Z | 2021-08-07T05:32:26Z | null | CONTRIBUTOR | null | ERROR: type should be string, got "https://pandas.pydata.org/speed/pandas/index.html#rolling.Quantile.time_quantile?p-constructor=%27Series%27&p-window=1000&p-dtype=%27int%27&p-percentile=1&p-param5=%27linear%27&commits=df5eee60d60a604969bdc3e36a0da20ea36af3f6.\r\n\r\n```python\r\nimport pandas as pd\r\nimport numpy as np\r\n\r\nconstructor = \"Series\"\r\nwindow = 1000\r\ndtype = \"int\"\r\npercentile = 1\r\ninterpolation = \"linear\"\r\n\r\n\r\nN = 10 ** 5\r\narr = np.random.random(N).astype(dtype)\r\nroll = getattr(pd, constructor)(arr).rolling(window)\r\n\r\n%timeit roll.quantile(percentile, interpolation=interpolation)\r\n```\r\n\r\nSeems to be from https://github.com/pandas-dev/pandas/pull/33693 (cc @s-scherrer).\r\n\r\nInterestingly, I'm not able to reproduce this locally. Is anyone else able to?\r\n\r\n```\r\n# 1.0.2\r\n3.16 ms ± 295 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\r\n\r\n# master\r\n2.27 ms ± 56.5 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\r\n```\r\n\r\n" | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33914 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33914/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33914/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33914/events | https://github.com/pandas-dev/pandas/pull/33914 | 610,718,900 | MDExOlB1bGxSZXF1ZXN0NDEyMTA1OTU1 | 33,914 | ENH: print DataFrame columns names at the end | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I've added the possibility of printing columns names again at the end of DataFrame. I'm not sure whether the number of rows should be checked again ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33915 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33915/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33915/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33915/events | https://github.com/pandas-dev/pandas/issues/33915 | 610,739,427 | MDU6SXNzdWU2MTA3Mzk0Mjc= | 33,915 | BUG: Timedelta.microseconds is rounded up if nanos>500 | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33916 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33916/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33916/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33916/events | https://github.com/pandas-dev/pandas/issues/33916 | 610,750,965 | MDU6SXNzdWU2MTA3NTA5NjU= | 33,916 | ENH: Add nrows parameter to pd.read_json | {
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Let's say I have a huge `jsonlines` file and I want to read only the first `n` lines of the file.
#### Describe the solution you'd like
This problem could be fixed by adding `nrows` parameter in method `pd.read_json`. This parameter should be applicable if and... | {
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