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https://api.github.com/repos/pandas-dev/pandas/issues/25013 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25013/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25013/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25013/events | https://github.com/pandas-dev/pandas/pull/25013 | 404,500,014 | MDExOlB1bGxSZXF1ZXN0MjQ4NjY4Mzcw | 25,013 | Backport PR #24967 on branch 0.24.x (REGR: Preserve order by default in Index.difference) | {
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"followers_url": "https://api.github.com/users/jre... | 8 | 2019-01-29T22:39:19Z | 2019-01-30T21:17:31Z | 2019-01-30T21:17:31Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
x = pd.DataFrame([
[pd.Timestamp('2018-01-01', tz='UTC'), 4.0, pd.Timestamp('2019-01-01', tz='UTC')]
], columns=['date', 'value', 'date2'])
y = x[:0]
y.merge(x, on='date')
```
```python
Traceback (most recent call last):
File "/scratch.py... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25015 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25015/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25015/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25015/events | https://github.com/pandas-dev/pandas/pull/25015 | 404,531,437 | MDExOlB1bGxSZXF1ZXN0MjQ4NjkzMTEz | 25,015 | CLN: do not use .repeat asv setting for storing benchmark data | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-01-29T23:21:55Z | 2019-01-30T05:48:59Z | 2019-01-30T05:48:52Z | CONTRIBUTOR | null | `asv` uses `.repeat` to specify the number of times a benchmark should be repeated; our `strings.Replace` benchmark inadvertently uses this to store benchmark data. This doesn't cause issues until after the first parameter:
```
[ 99.87%] ··· strings.Repeat.time_repeat ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25016 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25016/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25016/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25016/events | https://github.com/pandas-dev/pandas/issues/25016 | 404,541,787 | MDU6SXNzdWU0MDQ1NDE3ODc= | 25,016 | Timestamp.strptime %z not supported | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-01-30T00:02:44Z | 2019-02-19T16:14:23Z | 2019-02-19T16:14:23Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
fmt = '%Y%m%d-%H%M%S-%f%z'
ts = '20190129-235348-183747+0000'
pd.Timestamp.strptime(ts, fmt)
```
```python
Traceback (most recent call last):
File "/scratch.py", line 6, in <module>
pd.Timestamp.strptime(ts, fmt)
File "/python/lib/pytho... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25017 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25017/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25017/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25017/events | https://github.com/pandas-dev/pandas/issues/25017 | 404,564,166 | MDU6SXNzdWU0MDQ1NjQxNjY= | 25,017 | Timestamp.replace should handle ambiguous DST times gracefully | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2019-01-30T01:42:49Z | 2019-02-01T18:40:56Z | 2019-02-01T18:40:56Z | NONE | null |
```python
>>> tz = pytz.timezone('Europe/London')
>>> d = datetime.datetime(2019, 10, 27, 1, 0)
>>> d = tz.localize(d, is_dst=True)
>>> ts = pd.Timestamp(d)
>>> ts == d
True
>>> pd.Timestamp(d).replace(minute=0) == d.replace(minute=0)
False
>>> pd.Timestamp(d).replace(minute=0).tzinfo
<DstTzInfo 'Europe/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25018 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25018/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25018/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25018/events | https://github.com/pandas-dev/pandas/issues/25018 | 404,568,506 | MDU6SXNzdWU0MDQ1Njg1MDY= | 25,018 | compat: PandasArray not accepted by many pandas functions | {
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"color": "0052cc... | closed | false | null | [] | null | 1 | 2019-01-30T02:03:03Z | 2019-12-27T23:03:01Z | 2019-12-27T23:03:00Z | MEMBER | null | In #24990 there was a brief discussion about backing Blocks with PandasArray objects. In an experimental local branch I'm trying this and finding a handful of rough edges that can be smoothed out. I'll update this list as I find more
- [ ] `view` method and `size` property
- [ ] `dtypes.cast.astype_nansafe` brea... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25019 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25019/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25019/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25019/events | https://github.com/pandas-dev/pandas/issues/25019 | 404,629,692 | MDU6SXNzdWU0MDQ2Mjk2OTI= | 25,019 | Inconsistent behavior when calling join/concat on DataFrames with CategoricalIndex and IntervalIndex | {
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... | 1 | 2019-01-30T07:02:20Z | 2021-06-26T04:15:53Z | null | CONTRIBUTOR | null | #### Code Sample
```python
import pandas as pd
df1 = pd.DataFrame(data={'col1': [1, 1]}, index=pd.interval_range(0, 1, 2))
df2 = pd.DataFrame(data={'col2': [1, 1]}, index=pd.interval_range(0, 1, 2))
df2.index = pd.CategoricalIndex(df2.index)
df2.join(df1) # works
df2.join([df1]) # works
df1.join(df2) # work... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25020 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25020/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25020/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25020/events | https://github.com/pandas-dev/pandas/pull/25020 | 404,630,254 | MDExOlB1bGxSZXF1ZXN0MjQ4NzY2NDY1 | 25,020 | BUG: to_datetime(strs, utc=True) used previous UTC offset | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-01-30T07:04:27Z | 2019-01-31T15:59:28Z | 2019-01-31T12:29:33Z | MEMBER | null | - [x] closes #24992
- [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/25021 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25021/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25021/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25021/events | https://github.com/pandas-dev/pandas/issues/25021 | 404,640,136 | MDU6SXNzdWU0MDQ2NDAxMzY= | 25,021 | to_pickle memory leak | {
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```python
import pandas as pd
import numpy as np
while True:
df = pd.DataFrame(np.random.randn(10000, 4), columns=list('abcd'))
df.to_pickle('/dev/null')
```
#### Problem description
Using `to_pickle` on different dataframes seems to leak memory. When I run this example, memory g... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25022 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25022/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25022/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25022/events | https://github.com/pandas-dev/pandas/issues/25022 | 404,672,898 | MDU6SXNzdWU0MDQ2NzI4OTg= | 25,022 | Use default EA repr for IntervalArray | {
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```
In [41]: pd.arrays.IntervalArray.from_breaks(range(3))
Out[41]:
IntervalArray([(0, 1], (1, 2]],
closed='right',
dtype=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25023 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25023/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25023/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25023/events | https://github.com/pandas-dev/pandas/issues/25023 | 404,672,955 | MDU6SXNzdWU0MDQ2NzI5NTU= | 25,023 | 0.24.0 breaks records oriented to_dict with non-natural naming | {
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] | closed | false | null | [] | null | 1 | 2019-01-30T09:17:51Z | 2019-01-30T14:06:44Z | 2019-01-30T14:06:37Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
pd.DataFrame([{'a-1': 34087, 'b': 'blablabla', 'c': 55}]).to_dict(orient='records') # Out: [{'_0': 34087, 'b': 'blablabla', 'c': 55}]
```
#### Problem description
The behaviour of ```to_dict(orient='records')``` has chang... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25024 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25024/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25024/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25024/events | https://github.com/pandas-dev/pandas/pull/25024 | 404,686,031 | MDExOlB1bGxSZXF1ZXN0MjQ4ODA5MTY3 | 25,024 | REGR: fix read_sql delegation for queries on MySQL/pymysql | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25025 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25025/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25025/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25025/events | https://github.com/pandas-dev/pandas/pull/25025 | 404,753,363 | MDExOlB1bGxSZXF1ZXN0MjQ4ODYyNTg4 | 25,025 | Backport PR #24961 on branch 0.24.x (fix+test to_timedelta('NaT', box=False)) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25027 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25027/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25027/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25027/events | https://github.com/pandas-dev/pandas/pull/25027 | 404,807,044 | MDExOlB1bGxSZXF1ZXN0MjQ4OTA1MTg4 | 25,027 | DOC: 0.24.1 whatsnew | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25028 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25028/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25028/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25028/events | https://github.com/pandas-dev/pandas/pull/25028 | 404,809,838 | MDExOlB1bGxSZXF1ZXN0MjQ4OTA3Mzcx | 25,028 | CLN: typo fixups | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25029 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25029/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25029/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25029/events | https://github.com/pandas-dev/pandas/issues/25029 | 404,819,149 | MDU6SXNzdWU0MDQ4MTkxNDk= | 25,029 | The "Create DataFrame with a MultiIndex" code example in the cheatsheet contains an extra bracket | {
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```python
df = pd.DataFrame(
{"a" : [4 ,5, 6],
"b" : [7, 8, 9],
"c" : [10, 11, 12]}, index = pd.MultiIndex.from_tuples(
[('d',1)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25030 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25030/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25030/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25030/events | https://github.com/pandas-dev/pandas/pull/25030 | 404,833,475 | MDExOlB1bGxSZXF1ZXN0MjQ4OTI2MTkx | 25,030 | ENH: Support index=True for io.sql.get_schema | {
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- Decided to keep the default as `index=False` to keep the API consistent. `to_sql` has `index=True`.
- Tempted to name the parameter `include_dataframe_index` as "index" has
a different meaning in a SQL context.
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/25031 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25031/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25031/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25031/events | https://github.com/pandas-dev/pandas/issues/25031 | 404,837,819 | MDU6SXNzdWU0MDQ4Mzc4MTk= | 25,031 | No rectangles showing up in heatmap | {
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```python
import pandas as pd
from pandas.plotting import autocorrelation_plot
from bokeh.models import ColumnDataSource, LinearColorMapper, BasicTicker, ColorBar
from bokeh.plotting import figure, show, output_notebook, output_file
from bokeh.palettes import mpl
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https://api.github.com/repos/pandas-dev/pandas/issues/25032 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25032/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25032/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25032/events | https://github.com/pandas-dev/pandas/pull/25032 | 404,839,101 | MDExOlB1bGxSZXF1ZXN0MjQ4OTMwNjIy | 25,032 | (Closes #25029) Removed extra bracket from cheatsheet code example. | {
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There was an additional bracket present under the "Create DataFrame with a MultiIndex" code example.
I removed this in both the English and Japanese versions of the cheatsheet. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25033 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25033/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25033/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25033/events | https://github.com/pandas-dev/pandas/pull/25033 | 404,842,854 | MDExOlB1bGxSZXF1ZXN0MjQ4OTMzNjA5 | 25,033 | BUG: Fixed merging on tz-aware | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25034 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25034/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25034/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25034/events | https://github.com/pandas-dev/pandas/issues/25034 | 404,878,177 | MDU6SXNzdWU0MDQ4NzgxNzc= | 25,034 | rename_axis(None) now (0.24) does nothing. Previously it removed the axis name | {
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In 0.23 `rename_axis` was able to remove the axis name like this:
```python
>>> s = pd.Series([1, 2, 3])
>>> s = s.rename_axis('asdf')
>>> s
asdf
0 1
1 2
2 3
dtype: int64
>>> s.rename_axis(None)
0 1
1 2
2 3
dtype: int64
```
I... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25035 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25035/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25035/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25035/events | https://github.com/pandas-dev/pandas/pull/25035 | 404,891,441 | MDExOlB1bGxSZXF1ZXN0MjQ4OTcxNjk3 | 25,035 | DOC: Example from docstring was proposing wrong interpolation order | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2019-01-30T17:55:28Z | 2019-01-31T12:25:57Z | 2019-01-31T12:25:55Z | CONTRIBUTOR | null | Currently doctring explaining interpolation proposes using polynomial interpolation with order equal to 4. Unfortunately, scipy does not allow that value to be used, throwing an ValueError from here: https://github.com/scipy/scipy/blob/5875fd397eb4e6adcfa0c65f7b9006424c066cb0/scipy/interpolate/_bsplines.py#L583
Lookin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25036 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25036/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25036/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25036/events | https://github.com/pandas-dev/pandas/issues/25036 | 404,936,772 | MDU6SXNzdWU0MDQ5MzY3NzI= | 25,036 | Console introspection helpers and third-party calls to get_ipython() | {
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If a third-party library or user code accesses nested properties in `get_ipython()` *before*, say, printing a dataframe, the user ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25037 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25037/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25037/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25037/events | https://github.com/pandas-dev/pandas/issues/25037 | 404,938,492 | MDU6SXNzdWU0MDQ5Mzg0OTI= | 25,037 | Groupby observed=True scrambles the count() values | {
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```python
# Your code here
temp = loan.groupby('loan_amnt_bin').filter(lambda grp: grp['id'].count() > 400)
binned_count = temp.groupby('loan_amnt_bin', observed=True, as_index=False).count()
binned_count
```
#### Problem description
Input without observed... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25038 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25038/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25038/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25038/events | https://github.com/pandas-dev/pandas/pull/25038 | 404,942,423 | MDExOlB1bGxSZXF1ZXN0MjQ5MDExNjE1 | 25,038 | DOC: fix error in documentation #24981 | {
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/25039 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25039/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25039/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25039/events | https://github.com/pandas-dev/pandas/pull/25039 | 404,948,588 | MDExOlB1bGxSZXF1ZXN0MjQ5MDE2NDQw | 25,039 | BUG: avoid usage in_qtconsole for recent IPython versions | {
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What release should this be done in? 0.24.1, 0.24.2 or 0.25.0?
Closes htt... | {
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- [x] tests added / passed
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For windows users where Python is compiled with UCS-4 (Python 3 primarily), tables copied to clipboard are missing data from the end when there are any unicode characters in the ... | {
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While attempting to serialize a pandas data frame with the `to_parquet()` method, I got an error message stating that the column names were not strings, even though they seem to be.
#### Code Example
I have a pandas data frame with the following columns:
```
In [1]: region_measureme... | {
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```
$ asv compare upstream/master HEAD -s --sort ratio
Benchmarks that have im... | {
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Since `Timestamp` has its own `replace` method, I think we can still introduce this while still supporting PY3.5 (`datetime.replace` gained the `fold` argument in 3.6) while it ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25048 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25048/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25048/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25048/events | https://github.com/pandas-dev/pandas/issues/25048 | 405,069,730 | MDU6SXNzdWU0MDUwNjk3MzA= | 25,048 | line terminator issue (again) on windows when writing to_csv() | {
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"followers_url": "https://api.github.com/u... | 11 | 2019-01-31T03:55:02Z | 2019-04-05T14:51:14Z | 2019-03-11T13:58:12Z | NONE | null | Another addition to windows line-end saga:
Changes in Pandas 0.24.0, related to https://github.com/pandas-dev/pandas/issues/20353, seem to cause some strange behaviour in this not so uncommom edge case:
#### Problem description
When using `df.to_csv()` to write to an exisitng file handle without explicitly setting... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25049 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25049/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25049/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25049/events | https://github.com/pandas-dev/pandas/issues/25049 | 405,106,552 | MDU6SXNzdWU0MDUxMDY1NTI= | 25,049 | read_sql_table('xxx') should equal to read_sql('select * from xxx') | {
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"description": "to_sql, read_sql, read_s... | closed | false | null | [] | null | 6 | 2019-01-31T06:55:38Z | 2021-06-26T04:27:09Z | 2021-06-26T04:27:09Z | NONE | null | I have permission to `products` table, and no permission to `areas` table.
## read_sql_table
```python
dfp = pd.read_sql_table('products', db.engine)
```
Got error:
```
OperationalError: (_mysql_exceptions.OperationalError) (1142, "SHOW command denied to user 'aaa'@'111.111.111.111' for table 'areas'") [... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25050 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25050/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25050/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25050/events | https://github.com/pandas-dev/pandas/issues/25050 | 405,116,895 | MDU6SXNzdWU0MDUxMTY4OTU= | 25,050 | Problem with to_dict('records') in 0.24 | {
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Running the following code in Pandas 0.24, the column names of the later object are completely wrong. May be that when the column name contains a : the to_dict('records') method is bugged?
CODE:
import pandas as pd
df = pd.read_csv("C:\\running-example.csv")
print(df.columns)
print(df.to_dict().keys()... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25051 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25051/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25051/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25051/events | https://github.com/pandas-dev/pandas/issues/25051 | 405,181,981 | MDU6SXNzdWU0MDUxODE5ODE= | 25,051 | AttributeError: 'tuple' object has no attribute 'type' | {
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```python
import pandas
```
#### Problem description
I am facing above issue while importing pandas. I tried removing and reinstalling it, but didn't work. Could you let me know the reason and solution?
 do not find openpyxl version | {
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] | closed | false | null | [] | null | 1 | 2019-01-31T15:20:02Z | 2019-03-26T05:38:25Z | 2019-03-26T05:38:25Z | NONE | null | Running my easy test_excel.py, containing:
import pandas as pd
df = pd.read_excel('foo.xlsx')
df.to_excel('foo_1.xlsx')
I'm getting the error:
Traceback (most recent call last):
File "test_excel.py", line 5, in <module>
df.to_excel('foo_1.xlsx')
File "/python3/lib/python3.6/site-packages/pandas/co... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py... | {
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https://docs.python.org/3/library/datetime.html#datetime-objects.
Technically `Timestamp` will accept the argument in 3.6, but it's not formally documented or tested.
Additionally since... | {
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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/25059 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25059/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25059/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25059/events | https://github.com/pandas-dev/pandas/issues/25059 | 405,384,293 | MDU6SXNzdWU0MDUzODQyOTM= | 25,059 | pd.merge_asof with empty datetime index column in right dataframe breaks in 0.24.0 | {
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The following breaks in 0.24.0 but worked in 0.23.4:
```python
import pandas as pd
print(pd.__version__)
empty_index = pd.to_datetime([], utc=True)
index_df1 = pd.DataFrame({'index_col': empty_index}, index=empty_index)
index_temp = pd.date_range(start='201... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25060 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25060/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25060/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25060/events | https://github.com/pandas-dev/pandas/pull/25060 | 405,425,158 | MDExOlB1bGxSZXF1ZXN0MjQ5Mzg4ODAw | 25,060 | CLN: isort from attrs_caching.py to eval.py | {
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More updates from issue #23334:
- asv_bench/benchmarks/attrs_caching.py
- asv_bench/benchmarks/binary_ops.py
- asv_bench/benchmarks/categorical.py
- asv_bench/benchmarks/ctors.py
- asv_bench/benchmarks/dtypes.py
- asv_bench/benchmarks/eval.py... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25061 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25061/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25061/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25061/events | https://github.com/pandas-dev/pandas/issues/25061 | 405,426,720 | MDU6SXNzdWU0MDU0MjY3MjA= | 25,061 | Formatting of CategoricalIndex misaligned if NaNs are present | {
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"color": "e11d2... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/u... | 0 | 2019-01-31T20:29:33Z | 2019-02-09T16:52:51Z | 2019-02-09T16:52:51Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> import pandas as pd
>>> pd.DataFrame([[1],[2]], index=pd.CategoricalIndex([1, pd.np.nan]))
0
1.0 1
NaN 2
```
#### Problem description
`CategoricalIndex` of a `DataFrame` is misaligned when printing if it contains `NaN` values.
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https://api.github.com/repos/pandas-dev/pandas/issues/25062 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25062/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25062/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25062/events | https://github.com/pandas-dev/pandas/pull/25062 | 405,428,644 | MDExOlB1bGxSZXF1ZXN0MjQ5MzkxOTM1 | 25,062 | Clarification in docstring of Series.value_counts | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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This changes the parameter *value* of True to None (without any change in behaviour), so we keep the possibility open to have `sort=True` to mean "always sorting"... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25064 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25064/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25064/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25064/events | https://github.com/pandas-dev/pandas/pull/25064 | 405,447,276 | MDExOlB1bGxSZXF1ZXN0MjQ5NDA2NTY2 | 25,064 | Backport PR #25024 on branch 0.24.x (REGR: fix read_sql delegation for queries on MySQL/pymysql) | {
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Introduced in Python 3.2. First pass is to evaluate what tests fail when included in the tz_aware_fixture | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25066 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25066/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25066/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25066/events | https://github.com/pandas-dev/pandas/issues/25066 | 405,496,605 | MDU6SXNzdWU0MDU0OTY2MDU= | 25,066 | regression in 0.24: np.clip does not work for some values of a_min | {
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... | 6 | 2019-02-01T00:10:20Z | 2021-06-26T04:28:12Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
import numpy as np
print(pd.__name__,pd.__version__,np.__name__,np.__version__)
np.clip(pd.Series([0,1,0,1]), 1e-7, 1)
np.clip(pd.Series([0,1,0,1]), 1e-8, 1)
np.clip(pd.Series([0.0,1.0,0.0,1.0]), 1e-8, 1)
```
#### Problem description
With pandas `0.23.4`, [... | {
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"... | closed | false | null | [] | null | 4 | 2019-02-01T00:40:27Z | 2019-04-24T16:34:33Z | 2019-04-24T16:34:27Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
I'm reading in an excel file using the code below. Assume that column 0 is my zip codes and column 2 is my adjustment factor that I'm mapping zips to.
```python
# Your code here
zip_adjustments_factors = pd.read_excel(fp, sheet_name='zip_mapping',
dt... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25068 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25068/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25068/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25068/events | https://github.com/pandas-dev/pandas/issues/25068 | 405,525,746 | MDU6SXNzdWU0MDU1MjU3NDY= | 25,068 | pd.testing.assert_frame_equal doesn't do precision according to the doc | {
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```python
import pandas as pd
import pandas.testing
df1 = pd.DataFrame([0.00016, -0.154526, -0.20580199999999998])
df2 = pd.DataFrame([0.00015981824253685772, -0.15452557802200317, -0.20580188930034637])
pd.testing.assert_frame_equa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25069 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25069/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25069/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25069/events | https://github.com/pandas-dev/pandas/pull/25069 | 405,561,794 | MDExOlB1bGxSZXF1ZXN0MjQ5NDk0NjQ3 | 25,069 | REGR: rename_axis with None should remove axis name | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
Fix amounts to using [~`com.sentinel_factory()`~](https://github.com/pandas-dev/pandas/blob/ea013a254847fbc5551e3ec91a468370c7118589/pandas/core/common.py#L386-L390) `object()`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25070 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25070/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25070/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25070/events | https://github.com/pandas-dev/pandas/pull/25070 | 405,580,958 | MDExOlB1bGxSZXF1ZXN0MjQ5NTA5NTQ0 | 25,070 | PERF: O(n) speedup in any/all by re-enabling short-circuiting for bool case | {
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```
$ asv run -b Any -b All upstream/master
[ 0.01%] ··· series_methods.All.time_all ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25071 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25071/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25071/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25071/events | https://github.com/pandas-dev/pandas/issues/25071 | 405,612,608 | MDU6SXNzdWU0MDU2MTI2MDg= | 25,071 | Column name `class` is ignored when using to_dict(orient="records") after upgrading to 0.24 | {
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In pandas 0.24 we encounter a bug where the dictionary key is not set correctly if the column name is `class` and we use `to_dict(orient="records")`. All other orientations are ok. If we use the column name `klass` then the records orientation is also ok. Our csv... | {
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Method chaining allows us to compose easily readable "stories" of data processing steps, without having to come up with names for what is often temporary variables, but it comes at the expense of introspection of ... | {
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"followers_url": "https://api.github.com/u... | 2 | 2019-02-01T12:27:51Z | 2019-02-02T07:15:35Z | 2019-02-02T07:15:35Z | NONE | null | Backport PR #25026: DOC: Start 0.24.2.rst | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/25075 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25075/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25075/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25075/events | https://github.com/pandas-dev/pandas/issues/25075 | 405,773,342 | MDU6SXNzdWU0MDU3NzMzNDI= | 25,075 | Segmentation fault while creating dataframe from list of mixed-type rows | {
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"followers_url": "https://api.github.com/u... | 3 | 2019-02-01T16:23:26Z | 2019-02-06T02:17:01Z | 2019-02-06T02:17:01Z | CONTRIBUTOR | null | ```python
In [2]: pd.DataFrame([
...: [1, 2],
...: (3, 4)
...: ])
Segmentation fault: 11
```
I'd like to see a `TypeError` here, instead of a segfault.
<details>
INSTALLED VERSIONS
------------------
commit: None
python: 3.7.2.final.0
python-bits: 64
OS: Darwin
OS-release: 18.2.0
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"description": "Apply, A... | open | false | null | [] | null | 2 | 2019-02-01T16:55:08Z | 2020-05-08T19:39:17Z | null | NONE | null | #### Problem description
I really think that `rolling(x).apply(f)` should behave like groupby as it is essentially a group by function just where the groups are overlapping. Therefore one should be allowed to return a dict as a result. i.e. something like this:
```
df = pd.DataFrame({'num_legs': [2, 4, 8, 0],
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https://api.github.com/repos/pandas-dev/pandas/issues/25077 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25077/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25077/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25077/events | https://github.com/pandas-dev/pandas/issues/25077 | 405,797,208 | MDU6SXNzdWU0MDU3OTcyMDg= | 25,077 | Regression in 0.24: to_timedelta handling of float values | {
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"closed_at": "2019-03-13T21:33:10Z",
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"followers_url": "https://api.github.com/u... | 15 | 2019-02-01T17:23:05Z | 2019-03-12T12:43:02Z | 2019-03-12T12:43:02Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
Creating an TimedeltaIndex with 1 microsecond steps:
```python
import pandas as pd
import scipy as sp
t = sp.arange(0,1,1e-6)
index = pd.to_timedelta(t, unit='s')
```
#### Problem description
Output in 0.24:
.to_dict(orient="records")
```
#### Problem description
Column names with non-alphanumeric characters are replaced with `"_n"` in `0.24.0`:
```python
[{'_0': 1, '_1': 2, 'c': 3}, {'_0': 4, '_1': ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25079 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25079/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25079/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25079/events | https://github.com/pandas-dev/pandas/pull/25079 | 405,818,869 | MDExOlB1bGxSZXF1ZXN0MjQ5Njk0MTY4 | 25,079 | Backport PR #25069 on branch 0.24.x (REGR: rename_axis with None should remove axis name) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25080 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25080/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25080/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25080/events | https://github.com/pandas-dev/pandas/issues/25080 | 405,822,611 | MDU6SXNzdWU0MDU4MjI2MTE= | 25,080 | Formatting Exception in io/formats/terminal.py | {
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```python
from pandas import DataFrame
df = DataFrame([[1,2,3], [4,5,6]])
print df
```
#### What I get when I try to print "df":
```
Traceback (most recent call last):
File "C:\Anaconda2\lib\site-packages\IPython\core\formatters.py", line 699, in __call__
printer.pretty(obj)
File ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25081 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25081/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25081/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25081/events | https://github.com/pandas-dev/pandas/issues/25081 | 405,839,682 | MDU6SXNzdWU0MDU4Mzk2ODI= | 25,081 | sys.getsizeof fails on DataFrame with complex columns since 0.24 | {
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```python
# Works fine for version 0.23
from sys import getsizeof
import pandas as pd
pd.__version__
# 0.23.4
getsizeof(pd.DataFrame({'id': [0], 'list_col': [[0,1,2]]}))
# 184
# ---------------------
# Fails on version 0.24
from sys import getsizeof... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25082 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25082/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25082/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25082/events | https://github.com/pandas-dev/pandas/issues/25082 | 405,848,844 | MDU6SXNzdWU0MDU4NDg4NDQ= | 25,082 | should error when groupby.agg(set) is unhashable | {
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... | open | false | null | [] | null | 1 | 2019-02-01T19:49:56Z | 2021-06-26T04:30:40Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
x = pd.DataFrame({'x': ['a', 'b', ], 'y' : [set(), {1, 2}]})
display(x)
x.groupby('x').agg(set)
```

#### Problem description
`groupb... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25084 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25084/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25084/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25084/events | https://github.com/pandas-dev/pandas/pull/25084 | 405,856,134 | MDExOlB1bGxSZXF1ZXN0MjQ5NzIyMTg2 | 25,084 | DOC: Cleanup 0.24.1 whatsnew | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25085 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25085/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25085/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25085/events | https://github.com/pandas-dev/pandas/pull/25085 | 405,872,378 | MDExOlB1bGxSZXF1ZXN0MjQ5NzM0ODQy | 25,085 | Revert set_index inspection/error handling for 0.24.1 | {
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There were conflicts for `test_set_index_pass_single_array` and `test_set_index_pass_arrays_dupli... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25087 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25087/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25087/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25087/events | https://github.com/pandas-dev/pandas/issues/25087 | 405,900,395 | MDU6SXNzdWU0MDU5MDAzOTU= | 25,087 | Regression in 0.24: TypeError exception when using dropna on dataframe with categorical index | {
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```python
import pandas as pd
import numpy as np
dd = pd.DataFrame(np.arange(10))
dd['x2'] = dd[0] * dd[0]
dd['q'] = pd.qcut(dd['x2'], 5)
dd.set_index('q', inplace=True)
dd.dropna()
```
#### Problem description
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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@MTKnife is this what you wanted? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25089 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25089/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25089/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25089/events | https://github.com/pandas-dev/pandas/pull/25089 | 405,968,939 | MDExOlB1bGxSZXF1ZXN0MjQ5ODA0NDA2 | 25,089 | Fixed tuple to List Conversion in Dataframe class | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
Traceback of issue #25075
- [pandas/core/frame.py: L#435](https://github.com/pandas-dev/pandas/blob/master/pandas/core/frame.py#L435) `to_arrays(data, columns, dtype=dtype)`
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/25091 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25091/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25091/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25091/events | https://github.com/pandas-dev/pandas/pull/25091 | 405,978,840 | MDExOlB1bGxSZXF1ZXN0MjQ5ODEwNDA1 | 25,091 | ## DO NOT MERGE. BUG: Fix .dropna() functionality for categorical indices | {
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- [x] tests added / passed
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The last whatsnew is https://github.com/pandas-dev/pandas/blob/master/doc/source/whatsnew/v0.24.0.rst
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Builds upon #26233, so that should be merged first.
This PR adds an almost fully compatible OpenPyXL based engine to excel_read, next to the xlrd engine.
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After "implementing" it (that is, just unifying the method), I'm even more convinced about my [idea](https://github.com/pandas-dev/pandas/issues/23670#issue-380340023)... but @W... | {
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- [x] tests added / passed
[This issue](https://github.com/pandas-dev/pandas/pull/24275/files) fixed the underlying problem highlighted in #20714 . Added the appropriate test cases so we can close this.
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https://api.github.com/repos/pandas-dev/pandas/issues/25096 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25096/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25096/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25096/events | https://github.com/pandas-dev/pandas/pull/25096 | 406,012,518 | MDExOlB1bGxSZXF1ZXN0MjQ5ODMxMDk4 | 25,096 | DOC: small clean-up of 0.24.1 whatsnew | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25097 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25097/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25097/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25097/events | https://github.com/pandas-dev/pandas/pull/25097 | 406,013,091 | MDExOlB1bGxSZXF1ZXN0MjQ5ODMxNDgz | 25,097 | DOC: frame.py doctest fixing | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2019-02-02T19:17:41Z | 2020-01-13T11:22:21Z | 2019-02-03T17:58:23Z | CONTRIBUTOR | null | - [ ] fixes part of #22459 for the `DataFrame` methods
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
The PR provides some onging fixes for doctetsts #22459 focusing on the methods of `frame.py`. At the same time, the involved docstrings were c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25098 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25098/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25098/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25098/events | https://github.com/pandas-dev/pandas/pull/25098 | 406,033,435 | MDExOlB1bGxSZXF1ZXN0MjQ5ODQzOTg1 | 25,098 | CLN: use dtype in categorical constructors | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25099 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25099/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25099/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25099/events | https://github.com/pandas-dev/pandas/issues/25099 | 406,034,751 | MDU6SXNzdWU0MDYwMzQ3NTE= | 25,099 | na_rep Truncated With Int64 dtype in to_csv | {
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```python
df = pd.DataFrame({"c": [float('nan')]*3})
df = df.astype("Int64")
print(df.to_csv(index=False, na_rep='mynull'))
c
myn
myn
myn
```
#### Problem description
I'd expect `na_rep` to be always respected, with all column types.
#### Expected Output
```python
print(df.to_csv... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25100 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25100/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25100/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25100/events | https://github.com/pandas-dev/pandas/issues/25100 | 406,060,956 | MDU6SXNzdWU0MDYwNjA5NTY= | 25,100 | plot() Has Visual Error When Combing Bar & Line Graphs | {
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```
import matplotlib
import pandas as pd
df = pd.DataFrame({'A':[1,2,3],'B':[0.1,.2,.4]})
print(df)
df.A.plot.bar()
df.B.plot(secondary_y=True,style='g')
```
.all(bool_only=True))
print(pd.DataFrame({"col1": [1,2,3], "col2": [4,5,6], "col3": [None, None, None], "col4":[False, False, True... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25102 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25102/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25102/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25102/events | https://github.com/pandas-dev/pandas/pull/25102 | 406,066,579 | MDExOlB1bGxSZXF1ZXN0MjQ5ODYzNzI2 | 25,102 | BUG: Fixing regression in DataFrame.all and DataFrame.any with bool_only=True | {
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"followers_url": "https://api.github.com/u... | 4 | 2019-02-03T08:41:25Z | 2019-02-04T13:05:42Z | 2019-02-04T13:05:39Z | CONTRIBUTOR | null | * `bool_only` parameter is supported again
* Commit 36ab8c95a41bbadc286a5a520883b149c86931bd created this regression
due to a bug in all/any (pandas-dev/pandas#23070)
* Reverted the regression and fixed the bug with a condition
* Added tests for `bool_only` parameter
- [x] closes #25101
- [x] tests added / p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25103 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25103/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25103/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25103/events | https://github.com/pandas-dev/pandas/pull/25103 | 406,067,840 | MDExOlB1bGxSZXF1ZXN0MjQ5ODY0NDg0 | 25,103 | Fix #25099 set na_rep values before converting to string to prevent data truncation | {
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The code in this pull request fixes #25099, and all tests pass. However, I am not sure if this is the best (or even an elegant) solution.
The issue happened because the float `NaN` is converted to `str` (i.e. "nan"), which gets stored as a `<U3`. When the user-provided `na_rep` is used, it is first truncated ... | {
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In order to have a continuous check by the CI on validation error `PR10`, tackling them from the current code base enables the addition to the CI for automated testing in the future.
After checking an [overview of the errors](https://gist.github.com/stijnvanhoey/dfec0f89a58f493bdddd2b463a... | {
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In order to have a continuous check by the CI on validation error `PR04` (Parameter "{param_name}" has no type), tackling them from the current code base enables the addition to the CI for automated testing in the future.
`PR04` has just 12 occurrences (see [overview of the errors](https://... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25106 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25106/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25106/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25106/events | https://github.com/pandas-dev/pandas/issues/25106 | 406,080,127 | MDU6SXNzdWU0MDYwODAxMjc= | 25,106 | Fix validation error type `GL04` and check in CI | {
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In order to have a continuous check by the CI on validation error `GL04` (Private classes should not be mentioned in public docstrings), fixing them in the code base enables the addition to the CI for automated testing in the future.
`GL04` has just 32 occurrences (see [overview of the erro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25107 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25107/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25107/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25107/events | https://github.com/pandas-dev/pandas/issues/25107 | 406,080,896 | MDU6SXNzdWU0MDYwODA4OTY= | 25,107 | Fix validation error type `RT04` and check in CI | {
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In order to have a continuous check by the CI on validation error `RT04` (Return value description should start with a capital letter), fixing them in the code base enables the addition to the CI for automated testing in the future.
`RT04` has just 33 occurrences (see [overview of the error... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25108 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25108/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25108/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25108/events | https://github.com/pandas-dev/pandas/issues/25108 | 406,081,365 | MDU6SXNzdWU0MDYwODEzNjU= | 25,108 | Fix validation error type `RT05` and check in CI | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2019-02-03T12:07:45Z | 2019-02-14T19:18:06Z | 2019-02-14T19:18:06Z | CONTRIBUTOR | null | #### Problem description
In order to have a continuous check by the CI on validation error `RT05` (Return value description should finish with "."), fixing them in the code base enables the addition to the CI for automated testing in the future.
`RT05` has just 51 occurrences (see [overview of the errors](https://g... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25109 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25109/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25109/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25109/events | https://github.com/pandas-dev/pandas/pull/25109 | 406,083,582 | MDExOlB1bGxSZXF1ZXN0MjQ5ODc0MjMx | 25,109 | DOC: Fixes to docstrings and add PR10 (space before colon) to validation | {
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- added type set_option docstring in config.py
-added type to boxplot_frame_groupby docstring in plotting/_core.py
-indented versionadded in ExcelWriter docstring io/excel.py
-updated code_check.sh to take into account PR10 type errors | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25110 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25110/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25110/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25110/events | https://github.com/pandas-dev/pandas/pull/25110 | 406,086,077 | MDExOlB1bGxSZXF1ZXN0MjQ5ODc2MDMx | 25,110 | ENH: Add in sort keyword to DatetimeIndex.union | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
As discussed in #25063 for ``Index.union``, I have made the default ``sort=None`` which should sort except in the three cases outlined in the doc-string. When passi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25111 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25111/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25111/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25111/events | https://github.com/pandas-dev/pandas/pull/25111 | 406,090,098 | MDExOlB1bGxSZXF1ZXN0MjQ5ODc4NTM5 | 25,111 | BLD: remove spellcheck from Makefile | {
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was still called from the Makefile. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25112 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25112/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25112/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25112/events | https://github.com/pandas-dev/pandas/issues/25112 | 406,094,915 | MDU6SXNzdWU0MDYwOTQ5MTU= | 25,112 | Fix validation error type `SS05` and check in CI | {
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In order to have a continuous check by the CI on validation error `SS05` (Summary must start with infinitive verb, not third person), fixing them in the code base enables the addition to the CI for automated testing in the future.
`SS05` has just 52 occurrences (see [overview of the errors]... | {
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