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```
In [17]: df = pd.DataFrame({'A': [1, 2, 3]})
In [18]: df ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30122 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30122/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30122/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30122/events | https://github.com/pandas-dev/pandas/issues/30122 | 534,320,396 | MDU6SXNzdWU1MzQzMjAzOTY= | 30,122 | setting precision for display sometimes shows wrong output | {
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"color": "0e8a1... | open | false | null | [] | null | 2 | 2019-12-07T00:27:54Z | 2021-07-23T05:40:34Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
pd.set_option("display.precision", 0)
pd.DataFrame([9.5444])
```
#### Problem description
The output is expected to be 10, but it shows 1.
#### Expected Output
0
0 10
#### Output of ``pd.show_versions()``
<details>
INSTALLE... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30123 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30123/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30123/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30123/events | https://github.com/pandas-dev/pandas/issues/30123 | 534,322,523 | MDU6SXNzdWU1MzQzMjI1MjM= | 30,123 | SettingWithCopyWarning raised unnecessarily with .fillna() on df with multiple indices | {
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```python
import numpy as np
import pandas as pd
column_a = ('group_name', "column_a")
column_b = ('group_name', "column_b")
df = pd.DataFrame({
column_a: [1, np.NaN, 3, np.NaN],
column_b: [1, 2, np.NaN, 4],
})
group_name
column_a column_b
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```python
data = {'Gender':['Female', 'Female', 'Female', 'Male','Female', 'Female', 'Female', 'Male',
'Female', 'Female', 'Female', 'Male','Female', 'Female', 'Female', 'Male'],
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https://api.github.com/repos/pandas-dev/pandas/issues/30127 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30127/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30127/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30127/events | https://github.com/pandas-dev/pandas/pull/30127 | 534,338,630 | MDExOlB1bGxSZXF1ZXN0MzUwMjY1MDAw | 30,127 | CLN: pytables create_axes cleanup | {
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In particular, the attribute-setting in 3803 was supposed to have been removed, apparently crept back in via rebase | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30128 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30128/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30128/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30128/events | https://github.com/pandas-dev/pandas/pull/30128 | 534,380,189 | MDExOlB1bGxSZXF1ZXN0MzUwMjk1NjYy | 30,128 | CLN: ci code checks | {
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This still needs a lot more work.
I will appreciate any advice/idea/fix. | {
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- [x] tests added / passed
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Some notes:
- `test_ops.py` still feels pretty bloated, but I didn't see a good opportunity for further splitting
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```python
import pandas as pd
import datetime as dt
import pytz
df = pd.DataFrame({'a':[1,1], 'date':[dt.datetime.now(tz=pytz.utc), dt.datetime.now(tz=pytz.utc)]})
df.info()
df.groupby('a').shift(0).info()
```
#### Problem description
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https://api.github.com/repos/pandas-dev/pandas/issues/30147 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30147/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30147/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30147/events | https://github.com/pandas-dev/pandas/pull/30147 | 534,608,636 | MDExOlB1bGxSZXF1ZXN0MzUwNDU5OTQ5 | 30,147 | CLN: Refactor pandas/tests/base - part3 | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
-----------------------
Starting to dissolve the `Ops` Mixin to drive fixturization of `pandas/tests/base/` | {
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```
meta_df = json_normalize(json_struct, record_path='my_data')
```
#### Problem description
Normalizing a json with an absent field at a certain point in time due to a schema change(s) results in a NoneType error
#### Expected Output
Continue normalization
#### Output of ``pd.show_ver... | {
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- [X] tests added / passed
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
No whatsnew entry since this issue was never user facing. | {
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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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``` python
pd.read_csv('test.csv',sep=',',na_values=[None, '#N/A’, ‘#N/A N/A’, ‘#NA’, ‘-1.#IND’, ‘-1.#QNAN’, ‘-NaN’, ‘-nan’, ‘1.#IND’, ‘1.#QNAN’, ‘N/A’, ‘NA’, ‘NULL’,‘NaN’, ‘n/a’, ‘nan','null'],keep_default_na=False)
# is not the same as
pd.read_csv('test... | {
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- [x] closes #30134
- [x] tests added / passed
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```python
Collecting pandas
Downloading https://files.pythonhosted.org/packages/b7/93/b544dd08092b457d88e10fc1e0989d9397fd32ca936fdfcbb2584178dd2b/pandas-0.25.3.tar.gz (12.6MB)
ERROR: Command errored out with exit status 1:
command: /usr/bin/python ... | {
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] | closed | false | null | [] | null | 6 | 2019-12-09T14:29:52Z | 2020-02-20T17:08:23Z | 2020-02-20T17:08:22Z | NONE | null | #### Code Sample, a copy-pastable example if possible
{
"data": [
{
"attributes": {
....
}
}
],
"included": [
{
"attributes": {
}
]
},
{
"data": [
{
"attributes": {
....
}
}
],
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https://api.github.com/repos/pandas-dev/pandas/issues/30160 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30160/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30160/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30160/events | https://github.com/pandas-dev/pandas/issues/30160 | 535,019,217 | MDU6SXNzdWU1MzUwMTkyMTc= | 30,160 | ffill with groupby removes index on version >= 0.25.0 | {
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```python
data = [[1, 2, 2],
[1 ,2, np.nan],
[1, 2, np.nan],
[3,4,4],
[3,4, np.nan],
[3,0, np.nan]]
data = pd.DataFrame(data, columns = ["A","B", "C"])
data.groupby(["A", "B"]).ffill().reset_index()
```
#### Problem description
Forward fill with groupby doesn't leave... | {
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Locally I'm seeing some failures sqlite files are leaking, but im not seeing the xls files that are causing problems in the CI. | {
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read_pickle does not accept google storage URL (in form "gs://bucket-name/path/file.pkl") as input
While this code works fine:
`
with tf.io.gfile.GFile("gs://bucket-name/path/file.pkl", "rb") as infile:
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```python
import pandas as pd
dt_list = [
"2019-01-01 00:01:00",
"2019-01-01 00:02:00",
"2019-01-01 00:02:10",
"2019-01-01 00:10:01",
"2019-01-01 00:11:00"
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https://api.github.com/repos/pandas-dev/pandas/issues/30165 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30165/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30165/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30165/events | https://github.com/pandas-dev/pandas/pull/30165 | 535,189,711 | MDExOlB1bGxSZXF1ZXN0MzUwOTM3MDM5 | 30,165 | DOC: Cleaned doctrings | {
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- [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/30166 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30166/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30166/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30166/events | https://github.com/pandas-dev/pandas/pull/30166 | 535,294,793 | MDExOlB1bGxSZXF1ZXN0MzUxMDMzMzc5 | 30,166 | STY: Underscores for long numbers | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30167 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30167/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30167/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30167/events | https://github.com/pandas-dev/pandas/issues/30167 | 535,297,396 | MDU6SXNzdWU1MzUyOTczOTY= | 30,167 | Resampled.ffill leaves NA | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2019-12-09T20:45:08Z | 2019-12-09T21:01:06Z | 2019-12-09T21:00:56Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
x = pandas.Series([1, pandas.np.NaN, 1], index=[pandas.Timestamp('2003-01-01'), pandas.Timestamp('2003-04-16'), pandas.Timestamp('2003-04-17')])
x.resample('D', closed='right').ffill()['2003-04']
```
#### Problem description
R... | {
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pandas/tests/io/test_html.py::TestReadHtml::test_thousands_macau_index_col[bs4] FAILED [ 26%]
When I push the file, it passes all verifications on the pipeline. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30170 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30170/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30170/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30170/events | https://github.com/pandas-dev/pandas/issues/30170 | 535,349,138 | MDU6SXNzdWU1MzUzNDkxMzg= | 30,170 | Dev meeting Wednesday, December 11th | {
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"gi... | [] | closed | false | null | [] | null | 2 | 2019-12-09T21:29:00Z | 2019-12-11T19:14:35Z | 2019-12-11T19:14:35Z | CONTRIBUTOR | null | * Hangout: https://meet.google.com/hav-rmax-zjx
* Minutes: https://docs.google.com/document/u/1/d/1tGbTiYORHiSPgVMXawiweGJlBw5dOkVJLY-licoBmBU/edit?ouid=102771015311436394588&usp=docs_home&ths=true
Feel free to add agenda items. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30171 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30171/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30171/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30171/events | https://github.com/pandas-dev/pandas/pull/30171 | 535,368,549 | MDExOlB1bGxSZXF1ZXN0MzUxMTAwMjc0 | 30,171 | PERF: Improve perf initalizing DataFrame with a range | {
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"followers_url": "https://api.github.com/users/wesm... | 7 | 2019-12-09T22:11:14Z | 2019-12-10T15:03:56Z | 2019-12-10T15:03:51Z | CONTRIBUTOR | null | Performance improvement when initalizing a DataFrame with a range:
```python
>>> %timeit pd.DataFrame(range(1_000_000))
347 ms ± 4.46 ms per loop # master
5.98 ms ± 61.9 µs per loop # this PR
# other initialization types don't seem to be affected by this problem:
>>> %timeit pd.Series(range(1_000_000))
5.75... | {
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```python
import pandas as pd
d1 = ['foo', 'bar'] * 50
d2 = list('ABCD' * 25)
d3 = pd.date_range('2019-01-01', periods=100, freq='D')
d4 = list(range(1, 101, 1))
d5 = list(range(1000, 100001, 1000))
df = pd.DataFrame(dict(col1=d1, col2=d2, col3=d3, col... | {
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The following fails on `master`:
```python
In [1]: import pandas as pd; pd.__version__
Out[1]: '0.26.0.dev0+1255.gb9f26e21e'
In [2]: pd.Series(range(2**63, 2**63 + 4))
---------------------------------------------------------------------------
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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
Does the un-deprecation need a dedicated discussion, or is there consensus on that?
I'd be happy to split this into separate bug/depr pieces of r... | {
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Also cleaning up some other things picked up by grepping for "deprecate" | {
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... | 2 | 2019-12-10T05:04:34Z | 2021-09-07T09:42:32Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: import pandas as pd; pd.__version__
Out[1]: '0.26.0.dev0+1256.g52f5fdf10'
In [2]: ii = pd.interval_range(pd.Timestamp('2018-01-01'), freq='3D', periods=3)
In [3]: pi = pd.period_range('2018-01-01', freq='D', periods=3)
In [4]: ii.get_in... | {
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```sh
before after ratio
[52f5fdf1] [325833e0]
<master> <faster-json-str>
- 112±1ms 101±0.7ms 0.90 io.json.ToJSON.time_to_json('index', 'df')
SOME BENCHMARKS HAVE CHANGED SIGNIFICANTLY.
PERFORM... | {
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…ssue and provides rounding variable to csv formatter to handle datetimes differently. I decided to try and tackle this issue for one of the classes I am in at university. The issue seems to be stemming from the fact that BlockManager is grouping together two differently formatted datetime values in t... | {
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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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closes https://github.com/pandas-dev/pandas/issues/27398
closes https://github.com/pandas-dev/pandas/issues/27829 | {
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print(df1)
df = df1.set_index('datetime').groupby([pd.TimeGrouper('6M'),'actual'])
----------------------------------------------------------------------------------------------------
_id junc_id topic group_traffic group_traffic_va... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30186 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30186/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30186/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30186/events | https://github.com/pandas-dev/pandas/pull/30186 | 535,971,625 | MDExOlB1bGxSZXF1ZXN0MzUxNTg1NjM2 | 30,186 | REF: pass dtype and data to pytables IndexCol constructor | {
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This function does nothing you can't already do without it, but it's a simple way to add a sanity check to a common usecase.
The function is an aggregator function that raises an Exception if its i... | {
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```python
In [6]: a = pd.array([0, 1, -1, None], dtype="Int64")
In [7]: a // 0
Out[7]:
<IntegerArray>
[0, 0, 0, NaN]
Length: 4, dtype: Int64
In [8]: a // -0
Out[8]:
<IntegerArray>
[0, 0, 0, NaN]
Length: 4, dtyp... | {
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```python
import pandas as pd
import dask as dd
df1 = pd.DataFrame({'col': pd.Series([True, False], dtype='object)})
df2 = pd.DataFrame({'col': pd.Series([None, None], dtype='object)})
df1.to_parquet('file1', engine='pyarrow')
df1.to_parquet('file2', ... | {
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When accessed from inside a column-wise `df.apply(lambda row:..., axis=1)`, things get counterintuitive:
- **row** is ... | {
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**>>> import pandas
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/toxess/.local/lib/python3.8/site-packages/pandas/__init__.py", line 55, in <module>
from pandas.core.api import (
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https://api.github.com/repos/pandas-dev/pandas/issues/30200 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30200/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30200/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30200/events | https://github.com/pandas-dev/pandas/pull/30200 | 536,094,260 | MDExOlB1bGxSZXF1ZXN0MzUxNjg2ODA5 | 30,200 | DEPR: remove deprecated verbose, private_key kwargs for gbq | {
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xref #20564. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30201 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30201/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30201/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30201/events | https://github.com/pandas-dev/pandas/pull/30201 | 536,143,368 | MDExOlB1bGxSZXF1ZXN0MzUxNzI2MzQ4 | 30,201 | Cleaned Up setup.py includes | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30202 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30202/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30202/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30202/events | https://github.com/pandas-dev/pandas/pull/30202 | 536,171,827 | MDExOlB1bGxSZXF1ZXN0MzUxNzQ5OTc2 | 30,202 | PERF: Fix performance regression in infer_dtype | {
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aaaac86ee019675119cb0ae9c3fb7a2b7eef9959
- [x] closes #28814
- [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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] | closed | false | null | [] | null | 5 | 2019-12-11T09:44:03Z | 2019-12-12T10:06:30Z | 2019-12-12T09:36:25Z | NONE | null | Hello,
When exporting a data frame to excel on a python setup using openpyxl 3.0.2, we have the error `TypeError: got invalid input value of type <class 'xml.etree.ElementTree.Element'>, expected string or Element`.
Rolling back to 3.0.1 solves the issue.
Thanks
#### Code Sample
With openpyxl 3.0.2
``... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30206 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30206/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30206/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30206/events | https://github.com/pandas-dev/pandas/issues/30206 | 536,317,637 | MDU6SXNzdWU1MzYzMTc2Mzc= | 30,206 | BUG: Series.astype does not change categorical dtype if categories match up to permutation | {
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```python
pd.Series(['A', 'B'], dtype='category').astype(pd.CategoricalDtype(categories=['B', 'A'])).cat.categories
```
#### Problem description
This should return `Index(['B', 'A'])` but actually it returns `Index(['A', 'B'])`. This is bad because if I u... | {
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"gi... | null | 4 | 2019-12-11T12:08:13Z | 2021-07-23T05:51:32Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
from pandas import Timestamp, NaT
import pandas as pd
from sqlalchemy import create_engine
# create test data
data = {'create_date': [Timestamp('2019-11-22 10:59:44+0000', tz='UTC'),
Timestamp('2019-11-21 15:27:41+0000', ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30208 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30208/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30208/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30208/events | https://github.com/pandas-dev/pandas/issues/30208 | 536,333,087 | MDU6SXNzdWU1MzYzMzMwODc= | 30,208 | Groupby crash on a single level | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-12-11T12:16:17Z | 2019-12-13T17:06:37Z | 2019-12-13T17:06:37Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```pytb
test = pd.DataFrame({
'COL1': [1]
}, index=[0])
test.columns.name = 'COL'
test.columns.names = ['COL']
test.groupby(axis=1, level='COL')
#### Problem description
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When creating a pandas Series of timestamps and calling `describe` on it, it will not show the percentiles of the data, even if these are specified as arguments (`s.describe(percentiles = [0.25, 0.5, 0.75])`).
This PR solves the issue by introducing a new d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30210 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30210/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30210/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30210/events | https://github.com/pandas-dev/pandas/pull/30210 | 536,470,936 | MDExOlB1bGxSZXF1ZXN0MzUxOTk1MTA0 | 30,210 | Fix IntegerArray pow for special cases | {
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"followers_url": "https://api.github.com/users/wesm... | 4 | 2019-12-11T16:11:20Z | 2019-12-14T07:55:29Z | 2019-12-14T07:55:29Z | CONTRIBUTOR | null | Split from #29964
Only https://github.com/pandas-dev/pandas/commit/9e5a69c3a32aad746ef3df29e43df352f4551f4d is relevant. The rest is https://github.com/pandas-dev/pandas/pull/30183, but pushing this up now. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30211 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30211/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30211/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30211/events | https://github.com/pandas-dev/pandas/issues/30211 | 536,486,666 | MDU6SXNzdWU1MzY0ODY2NjY= | 30,211 | Renaming DataFrame and Series is inconsistent when inplace=True | {
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"description": "Internal... | closed | false | null | [] | null | 3 | 2019-12-11T16:37:50Z | 2021-07-23T05:54:31Z | 2021-07-23T05:54:31Z | NONE | null | #### Problem description
There is an inconsistency between **inplace** renaming of DataFrame and Series. `DataFrame.rename()` returns `None` when `inplace=True`, while `Series.rename()` returns the same object when `inplace=True`. I think they should both return the `self` object.
#### Code Sample
d = {'co... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30212 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30212/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30212/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30212/events | https://github.com/pandas-dev/pandas/issues/30212 | 536,496,712 | MDU6SXNzdWU1MzY0OTY3MTI= | 30,212 | Mongo error sort | {
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https://www.quackit.com/mongodb/tutorial/mongodb_sort_query_results.cfm
But got error. column phase is exist
```python
collection.find( ).sort( { phase: 1 } )
```
Traceback (most recent call last):
File "table2.py", line 37, in <module>
collection.find( ).sort( { phase: 1 } )
NameError: na... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30213 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30213/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30213/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30213/events | https://github.com/pandas-dev/pandas/pull/30213 | 536,512,432 | MDExOlB1bGxSZXF1ZXN0MzUyMDI5ODU0 | 30,213 | ENH: Support string arguments for partition_cols in pandas.to_parquet | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-12-11T17:25:45Z | 2019-12-14T07:59:26Z | 2019-12-14T07:59:16Z | CONTRIBUTOR | null | - [x] closes #27117
- [x] tests added
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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