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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.
---
```python
pd.Series([], dtype='int64').value_counts() # Series([], dtype: int64)... | {
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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
The `.index.dtype` is not stable ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33326 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33326/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33326/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33326/events | https://github.com/pandas-dev/pandas/issues/33326 | 595,190,584 | MDU6SXNzdWU1OTUxOTA1ODQ= | 33,326 | CI: Doc build failing | {
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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
In [5]: import pandas as... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/33329 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33329/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33329/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33329/events | https://github.com/pandas-dev/pandas/pull/33329 | 595,251,707 | MDExOlB1bGxSZXF1ZXN0Mzk5NzU5MDk4 | 33,329 | CLN: Static types in `pandas/_lib/lib.pyx` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33330 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33330/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33330/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33330/events | https://github.com/pandas-dev/pandas/issues/33330 | 595,287,072 | MDU6SXNzdWU1OTUyODcwNzI= | 33,330 | BUG: Inconsistent replacement of values | {
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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/33331 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33331/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33331/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33331/events | https://github.com/pandas-dev/pandas/issues/33331 | 595,295,339 | MDU6SXNzdWU1OTUyOTUzMzk= | 33,331 | BUG: concat_{categorical, compat} leads to erroneous result on non-ns datetime-EA | {
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```python
import numpy as np
import pandas as pd
np_datetimes = np.array([datetime.date(2010, 1, 1)], dtype="datetime64[D]")
other = pd.array(["a", "b"], dtype="category")
pd.core.dtypes.concat.concat_categorical([np_datetimes, other])
# outputs:
# array([Timestamp('1970-01-01 00:00:00.... | {
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"color": "5319e7... | open | false | null | [] | null | 2 | 2020-04-06T18:09:56Z | 2021-07-31T02:11:55Z | null | CONTRIBUTOR | null | we renamed `_data` -> `_mgr` to provide more clarity on the internals; we should add a `DeprecationWarning` on calling this from the pandas objects (`DataFrame/Series`) to have downstream update to use `_mgr` at some point: https://github.com/pandas-dev/pandas/pull/33054#issuecomment-609948311 | {
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- cython/cython#2745
- cython/cython#1427
- This is a prereq for #33220
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pip latest version is also installed | {
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I have a few questions around its API
1. Is it considered public? Can subclasses call `self.__finalize__()`?
2. Are the values passed in `method='...'` considered public?
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This forgets about the OVH server, and after every merge to master will synchronize the repo web and docs in the production server.
**Note** that this will delete any file in the server that is not known, except the cheat sheets, and all the docs versions in `pandas-doc`. I don't think anythin... | {
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This touches several DataFrame/NDFrame methods. Those methods need a refactor in part because the ones defined on NDFrame are only ever called for DataFrame. Will refactor in follow-up. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33355 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33355/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33355/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33355/events | https://github.com/pandas-dev/pandas/issues/33355 | 595,557,873 | MDU6SXNzdWU1OTU1NTc4NzM= | 33,355 | BUG/API: should MultiIndex with leading integer level fallback to positional? | {
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idx = pd.Index(range(3))
dti = pd.date_range("2016-01-01", periods=2)
mi = pd.MultiIndex.from_product([idx, dti])
ser = pd.Series(range(len(mi))[::-1], index=mi)
>>> ser
0 2016-01-01 5
2016-01-02 4
1 2016-01-01 3
2016-01-02 2
2 2016-01-01 1
2016-01-02 0
dtype: int64
... | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2020-04-07T03:22:44Z | 2020-04-10T17:48:07Z | 2020-04-10T16:12:06Z | MEMBER | null | 1) `ser.unstack(args)` should behave like `ser.to_frame().unstack(args).droplevel(level=0, axis=1)`. This fails on master, is fixed by this PR.
2) `reshape._unstack_extension_series` currently re-implements logic that is in `ExtensionBlock._unstack`. This de-duplicates by dispatching.
3) We currently transpose in c... | {
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"default"... | closed | false | null | [] | null | 9 | 2020-04-07T03:42:11Z | 2020-04-09T18:03:02Z | 2020-04-09T17:56:37Z | MEMBER | null | When trying to make `fast_apply` unnecessary I found that there is non-trivial overhead in the constructors that we can avoid. Moreover, since users shouldn't be passing BlockManagers around anyway, we _might_ be able to get that case out of the DataFrame constructor entirely.
```
In [2]: ser = pd.Series(range(5))... | {
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- [X] I have confirmed this bug exists on the latest version of pandas (1.0.3).
---
#### Code Sample
```python
# Input date range:
pi5m = pd.date_range(start='2019-12-22 06:40:00+00:00', end='2019-12-22 08:45:00+00:00', freq='5min')
# Conv... | {
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Example test case:
```
a = pd.array([1, 2, 3], dtype="Int64")
values = a._data
mask = a._mask
pd.arrays.IntegerArray(values, mask)
```
```
In [5]: %timeit pd.arrays.IntegerArray(values, mask)
2.9 µs ± 45.4 ns per loop (mean ± std. ... | {
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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] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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`pandas.io.parquet.get_engine()` uses handling of `ImportError`s for flow control to decide which parquet reader engine is used. In doing so, i... | {
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- [x] tests added / passed
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- [ ] whatsnew entry
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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---
Not sure where to put the note in the "whatsnew" | {
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master
```python
In [2]: t = np.d... | {
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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
Pandas 1.0.1
```python
In [2]: N ... | {
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@pandas-dev/pandas-core can we prioritize this please. | {
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A lot of the overhead in is_foo_dtype (which we call _a lot_) comes from checking for dtype objects, arrays, and strings. We could tighten these to be e.g.
```
def is_extension_arrray_dtype(obj):
return isinstance(obj, ExtensionDtype)
```
The trouble with this is some of these are user-fac... | {
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... | open | false | null | [] | null | 2 | 2020-04-07T14:58:49Z | 2021-07-31T02:13:00Z | 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.
- [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
import ... | {
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"default"... | open | false | null | [] | null | 0 | 2020-04-07T15:26:27Z | 2021-07-31T02:13:41Z | null | NONE | null | When resampling a pandas DatetimeIndex, why would resampling daily (rule="D") or hourly (rule="H") between two dates be faster than resampling weekly ("W"), monthly ("M") or yearly ("Y")?
```python
df = pd.DataFrame({"data": ["A", "A"]}, index = pd.DatetimeIndex(["2010-01-01", "2020-01-01"]))
df.resample("D").bf... | {
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Included in this PR are the relevant whatsnew entry, documentation changes, a... | {
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---
With the latest version of cython, running ```python setup.py build_ext --inplace -j 0``` gives the following errors:
---
#### ```pandas/_libs/join.pyx```:
<details>
```
building 'pandas._libs.join' extension
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g... | {
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the TypeError that is thrown by Cythonized array_to_datetime
function when trying to convert bool to nonseconds.
- [x] closes #31464
- [x] tests added / passed
- [x] passes `black pandas`
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- [ ] tests added / passed
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```
- [x] doc/source/whatsnew/index.rst
- [x] doc/source/whatsnew/v0.14.0.rst
- [x] doc/source/whatsnew/v0.15.0.rst
- [x] doc/source/whatsnew/v0.18.0.rst
- [x] doc/source/whatsnew/v0.18.1.rst
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```
- [x] doc/source/whatsnew/v0.19.0.rst
- [x] doc/source/whatsnew/v0.20.0.rst
- [x] doc/source/whatsnew/v0.24.0.rst
- [x] doc/source/whatsnew/v0.25.0.rst
- [x] doc/source/whatsnew/v1.0.0.rst
```
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adds tests that ensures `NDFrame.__finalize__` is called in more places.
Thus far I've added tests for anything that meets the following rule:
> Pandas calls `NDFrame.__finalize__` on any NDFrame method that returns
> another NDFrame.
I t... | {
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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
```
>>> import pandas as pd
>>> import numpy as np
>>> pd... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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*Added more info at bottom about `pd.NA`*
I am loading data with code:
df = pd.read_csv("C:/data.csv")
When loading data I am getting this warning:
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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In the same spirit of #31845 and #32854, adding `engine` and `engine_kwargs` arguments to `groupby.aggreate`.
This PR has some functionality that is waiting to be mer... | {
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```
df = pd.DataFrame({'x': [1, 2, 3], 'y': [1, 3, 2], 'c': [1, 2, 3]}
df['x2'] = df['x'] + 1
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
df.plot('x', 'y', c='c... | {
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THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE. If you have updated the package versions, please update the hashes. Otherwise, examine the package contents carefully; someone may have tampered with them.
pandas from https://www.piwheels... | {
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Video Call: https://zoom.us/j/942410248
Minutes: https://docs.google.com/document/u/... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Since this is a plot PR, just post what it looks like after the change
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---
cc @jbrockmendel
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```
===================================================================================== FAILURES =====================================================================================
pandas/_libs/hashtable_cl... | {
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```
pandas\tests\io\test_html.py:886
D:\a\1\s\pandas\tests\io\test_html.py:886: FutureWarning: Starting with Pandas version 2.0 all arguments of read_h... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33398 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33398/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33398/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33398/events | https://github.com/pandas-dev/pandas/pull/33398 | 596,665,815 | MDExOlB1bGxSZXF1ZXN0NDAwOTIwMjM3 | 33,398 | ENH: Support passing compression args to gzip and bz2 | {
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solution. Instead of providing a 'fast' kwarg or global compression level
setting, this commit extends the ability to pass compression settings as a
dict to the gzip and bz2 compression methods. In this way, if the user
wants faster comp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33399 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33399/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33399/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33399/events | https://github.com/pandas-dev/pandas/issues/33399 | 596,668,150 | MDU6SXNzdWU1OTY2NjgxNTA= | 33,399 | DOC: DatetimeTZDtype astype behavior with Series.astype | {
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```python
import pandas as pd
typ = pd.DatetimeTZDtype(tz = 'EST')
s = pd.Series([pd.Timestamp('2020-01-01 15:00')])
print(s.astype(typ))
```
```
0 2020-01-01 10:00:00-05:00
dtype: datetime64[ns, EST]
```
#### Problem description
Hello,
I noticed a strange behavior using `Da... | {
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For exposition I used the new type checking functions in parsers.pyx.
For the implementation I chose `.type` and `.kind` checks in order to avoid needing the imports from `dtypes.dtypes`, which has dependencies on a bunch of other parts of the code.
```
In [1]: import p... | {
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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
```
In [4]: pd.__version__
Out[4]: ... | {
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- [x] tests added / passed
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---
When running ```pytest -q --cache-clear pandas/tests/ -k "period"``` some tests in ```pandas/tests/indexing/``` are failing, but when running... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33410 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33410/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33410/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33410/events | https://github.com/pandas-dev/pandas/issues/33410 | 596,915,403 | MDU6SXNzdWU1OTY5MTU0MDM= | 33,410 | BUG: ValueError: buffer source array is read-only during groupby | {
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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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Addressing GH #33013. Supports downcasting of nullable dtypes by transferring elements in extension array to ndarray to avoid TypeError thrown by np.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33412 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33412/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33412/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33412/events | https://github.com/pandas-dev/pandas/issues/33412 | 596,940,306 | MDU6SXNzdWU1OTY5NDAzMDY= | 33,412 | ENH: More permissable conversion to StringDtype | {
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```python
>>> pd.Series([1,2, np.nan], dtype=str)[0]
'1' # string, works
>>> pd.Series([1,2, np.nan], dtype="string")
ValueError # does not work
>>> pd.Series([1,2, np.nan], dtype=str).astype("string")
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In some of my projects, the data I need to load as DataFrame comes in a json list.
We switched to `json_normalize` for its ease of use, but some memory/performance issues came as the default typing within this method outputs mostly `object`, `int64` and `float64`... | {
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I'm not super-happy with the implementation adding `op` kwarg to check_compatible_with and assert_tzawareness_compat, looking for something cleaner. | {
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Related to #27977.
```
################################################################################
################################## Vali... | {
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