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https://api.github.com/repos/pandas-dev/pandas/issues/28213 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28213/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28213/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28213/events | https://github.com/pandas-dev/pandas/pull/28213 | 486,725,731 | MDExOlB1bGxSZXF1ZXN0MzEyMTMwNjM5 | 28,213 | BUG: Fix issue with apply on empty DataFrame | {
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Before
```python
>>> import numpy as np
>>> import pandas as pd
>>> df = pd.DataFrame(columns=["a", "b", "c"])
>>> df.apply(np.sum)
a NaN
b NaN
c NaN
dtype: float64
>>> df.apply... | {
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So via the terminal, I used `python -m pip install -U bs4` and `pip install --upgrade pip`. The thing is these two packages are actually installed successfully, but the upgrading is failed.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28215 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28215/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28215/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28215/events | https://github.com/pandas-dev/pandas/pull/28215 | 486,873,547 | MDExOlB1bGxSZXF1ZXN0MzEyMjQ4NTc0 | 28,215 | Add function to clean up column names with special characters | {
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- [x] closes #27017
- [x] tests added / passed
- [x] passes `black pandas`
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https://api.github.com/repos/pandas-dev/pandas/issues/28216 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28216/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28216/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28216/events | https://github.com/pandas-dev/pandas/pull/28216 | 486,891,260 | MDExOlB1bGxSZXF1ZXN0MzEyMjYzMjkx | 28,216 | REGR: <th> tags for notebook display closes #28204 | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
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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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The documentation ([https://dev.pandas.io/reference/api/pandas.DataFrame.t... | {
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"description": "read_html, to_html, S... | open | false | null | [] | null | 3 | 2019-08-29T13:39:24Z | 2021-09-09T14:05:43Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
df = pd.DataFrame(data={
'test': ['abcdefghijklmnopqrstuvwxyz', 'aaaabbbbbbccccccddddddeeeeefffff'],
})
pd.set_option('display.max_colwidth', 10)
df.to_html(escape=False, notebook=False)
```
#### Problem description
While we are working on issue htt... | {
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I get this error when I run the code and I don't know how to fix it
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... | 8 | 2019-08-29T14:26:55Z | 2019-09-28T21:13:23Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
X = pd.DataFrame({ "count": [1, 2] }, index=["A", "B"])
Y = pd.DataFrame({"name": ["A", "C"], "value": [100, 200]})
Z = pd.merge(X, Y, left_index=True, right_on="name", how='left')
print(Z.to_string())
# in 0.23.4
# count... | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-08-29T14:50:35Z | 2019-08-30T17:08:34Z | 2019-08-30T17:08:33Z | CONTRIBUTOR | null | When created by python 2.7, the "tz" attribute will be created with CSET
H5T_CSET_ASCII instead of H5T_CSET_UTF8, therefore it is read as bytes
when string is expected.
- [ X] closes #26443
- [ X] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/28222 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28222/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28222/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28222/events | https://github.com/pandas-dev/pandas/issues/28222 | 487,062,989 | MDU6SXNzdWU0ODcwNjI5ODk= | 28,222 | Implement str.contains for Dataframes so it can be used on multiple columns at once | {
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I would like to be able to utilise str.contains to return a boolean of all of the cells in a DataFrame that at least partially match a certain string. Currently this can only be applied for a single column at a time as it is only implemented for Series, and my searching has not found an elegant solution for ... | {
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] | closed | false | null | [] | null | 0 | 2019-08-29T19:54:52Z | 2019-08-30T15:26:04Z | 2019-08-30T15:26:04Z | MEMBER | null | diff for `mypy pandas --disallow-any-expr`
```
2887,2888d2886
< pandas\io\formats\format.py:626: error: Expression has type "Any"
< pandas\io\formats\format.py:651: error: Expression has type "Any"
2907,2909d2904
< pandas\io\formats\format.py:786: error: Expression has type "Any"
< pandas\io\formats\format.py:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28225 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28225/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28225/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28225/events | https://github.com/pandas-dev/pandas/pull/28225 | 487,172,601 | MDExOlB1bGxSZXF1ZXN0MzEyNDkxNDM4 | 28,225 | PERF: data = np.nan to speed up empty dataframe creation | {
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] | closed | false | null | [] | null | 3 | 2019-08-29T20:57:08Z | 2019-09-02T21:34:28Z | 2019-09-02T21:34:28Z | NONE | null | - [x] closes #28188
- Short summary
If we have enough information to know the shape of the final
dataframe, we set the value of data to np.nan if not set.
- Longer explanation
If I understand correctly the `__init__` of DataFrame, with this change
when the first if evaluates True then all following ifs eval... | {
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without a suitable type (.select_dtypes), pandas was throwing a "no
numeric data to plot" exception.
This can happen:
1) either because there is no column with a suitable type;
2) or if there is no row.
Raising an exception in the first... | {
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Exact timings are tough because repeated runs of `python3 -X importtime -c "import pandas as pd"` are really high variance, but my general read is that this trims about 35 ms out of about 650 ms.
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Unrelated docstring fixups, improve typing on parse_timezone_directive and _calc_julian_from_V.
The important thing here is setting the "Z" key dynamically in `__getitem__` instead of in `__init__` (since an instance is created in the module namespace at importt) | {
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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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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
AFAIK there's no writer for OpenDocument spreadsheet, so I came up with the minimal amount of code to generate the spreadsheet `odf` engine can read. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28231 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28231/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28231/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28231/events | https://github.com/pandas-dev/pandas/issues/28231 | 487,467,243 | MDU6SXNzdWU0ODc0NjcyNDM= | 28,231 | Update documentation on pd.read_excel, to reflect the fact that support for OpenDocument files is available | {
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... | 1 | 2019-08-30T12:51:23Z | 2019-09-05T18:03:57Z | 2019-09-05T18:03:57Z | NONE | null | ```python
class ExcelFile:
"""
Class for parsing tabular excel sheets into DataFrame objects.
Uses xlrd. See read_excel for more documentation
Parameters
----------
io : string, path object (pathlib.Path or py._path.local.LocalPath),
file-like object or xlrd workbook
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https://api.github.com/repos/pandas-dev/pandas/issues/28232 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28232/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28232/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28232/events | https://github.com/pandas-dev/pandas/pull/28232 | 487,515,752 | MDExOlB1bGxSZXF1ZXN0MzEyNzY1OTE5 | 28,232 | Backport PR #28229 on branch 0.25.x (REGR: Fix to_csv with IntervalIndex) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28233 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28233/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28233/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28233/events | https://github.com/pandas-dev/pandas/pull/28233 | 487,585,514 | MDExOlB1bGxSZXF1ZXN0MzEyODE4Nzg2 | 28,233 | Backport PR #28216 on branch 0.25.x (REGR: <th> tags for notebook display closes #28204) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28234 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28234/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28234/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28234/events | https://github.com/pandas-dev/pandas/issues/28234 | 487,593,387 | MDU6SXNzdWU0ODc1OTMzODc= | 28,234 | .to_csv in jupyter notebook giving "unexpected keyword argument 'tupleize_cols' " error | {
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```
# df.to_csv('output_file.csv')
```
#### Problem description
In Jupyter notebook, the to_csv method does not work anymore since I upgraded pandas to version 0.25.1
It gives the following error message:
> TypeError: __init__() got an unexpected keyword argument 'tupleize_cols'
#### Outp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28235 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28235/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28235/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28235/events | https://github.com/pandas-dev/pandas/issues/28235 | 487,633,330 | MDU6SXNzdWU0ODc2MzMzMzA= | 28,235 | pandas._lib.testing.assert_almost_equal seem to not use approximate equality for Series with complex doubles | {
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```python
import numpy as np
import pandas as pd
from pandas.util.testing import assert_almost_equal
e1 = np.array([0.5831076580182805, -0.9083518696779991], 'd')
e2 = np.array([0.5831076580182805, -0.9083518696779992], 'd')
e1z = np.asanyarray(e1, np... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28236 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28236/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28236/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28236/events | https://github.com/pandas-dev/pandas/issues/28236 | 487,642,971 | MDU6SXNzdWU0ODc2NDI5NzE= | 28,236 | seed isort known_third_party pre-commit hook | {
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```
diff --git a/setup.cfg b/setup.cfg
index 43dbac15f5..227defcfe8 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -116,7 +116,7 @@ known_dtypes = pa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28237 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28237/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28237/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28237/events | https://github.com/pandas-dev/pandas/pull/28237 | 487,647,396 | MDExOlB1bGxSZXF1ZXN0MzEyODY1MzM0 | 28,237 | fix DatetimeIndex.tz_localize examples docstring | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2019-08-30T19:56:23Z | 2019-08-30T21:04:20Z | 2019-08-30T20:54:02Z | CONTRIBUTOR | null | [DatetimeIndex.tz_localize](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DatetimeIndex.tz_localize.html#pandas.DatetimeIndex.tz_localize) doc string has improperly formatted examples near the bottom. Trivial fix, so didn't think it needed an issue or whatsnew entry, but happy to add if needed. Now ... | {
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```python
import pandas as pd
import numpy as np
from datetime import datetime
times = pd.date_range(datetime.now(), periods=1000, freq='h')
times = times.to_frame(index=False, name='DT').sample(1000)
times.index = times.index.to_series().astype(float)/10... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28239 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28239/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28239/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28239/events | https://github.com/pandas-dev/pandas/pull/28239 | 487,714,995 | MDExOlB1bGxSZXF1ZXN0MzEyOTE5MTIz | 28,239 | PERF: asv for import | {
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for py37 this uses `-X importtime` to get a more precise number without subprocess overhead. Doesn't actually do anything with it, but what the heck.
Couple of unrelated cleanups. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28240 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28240/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28240/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28240/events | https://github.com/pandas-dev/pandas/issues/28240 | 487,751,302 | MDU6SXNzdWU0ODc3NTEzMDI= | 28,240 | Missing <th> for index in notebook display of pd.DataFrame in 0.25.1 | {
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] | closed | false | null | [] | null | 1 | 2019-08-31T09:30:32Z | 2019-08-31T10:48:58Z | 2019-08-31T10:48:41Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
#### Problem description
Since `0.25.1`, the row index ("A" and "B" in [2]) is not shown in boldface any more.
#### Expected Output
Same as ... | {
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- [x] tests 1 / 1
- [x] passes `black pandas`
- [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/28242 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28242/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28242/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28242/events | https://github.com/pandas-dev/pandas/issues/28242 | 487,774,702 | MDU6SXNzdWU0ODc3NzQ3MDI= | 28,242 | to_record fails on aggregate DataFrame | {
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```python
# Your code here
import pandas as pd
import numpy as np
df = pd.DataFrame([{
'uid': '1345a',
'category': 'Automobile',
'amount': 40050.12
}, {
'uid': 'b7345',
'category': 'Hovercraft',
'amount':279215.00
}, {
'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28243 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28243/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28243/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28243/events | https://github.com/pandas-dev/pandas/issues/28243 | 487,785,450 | MDU6SXNzdWU0ODc3ODU0NTA= | 28,243 | BUG: Left join on index and column gives incorrect output | {
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"description": "Concat, Merge/Join, Stac... | open | false | null | [] | null | 3 | 2019-08-31T16:14:16Z | 2020-05-29T21:45:31Z | null | MEMBER | null | ```python
import numpy as np
import pandas as pd
df_left = pd.DataFrame(index=["a", "b"])
df_right = pd.DataFrame({"x": ["a", "c"]})
pd.merge(df_left, df_right, left_index=True, right_on="x", how="left")
# x
# 0.0 a
# NaN b
```
#### Problem description
This is closely related to https://github.c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28244 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28244/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28244/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28244/events | https://github.com/pandas-dev/pandas/issues/28244 | 487,789,368 | MDU6SXNzdWU0ODc3ODkzNjg= | 28,244 | data frame rolling std return wrong result with large elements | {
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"description": "rolling, ewma, expanding... | closed | false | null | [] | {
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```python
arr = [9.54e+08, 6.225e-01, np.nan, 0, 1.14, 0]
arr = pd.DataFrame(arr)
print(arr.rolling(5,3).std())
###output
0
0 NaN
1 NaN
2 NaN
3 5.507922e+08
4 4.770000e+08
5 0.000000e+00
#### Problem desc... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28245 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28245/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28245/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28245/events | https://github.com/pandas-dev/pandas/pull/28245 | 487,815,093 | MDExOlB1bGxSZXF1ZXN0MzEyOTg0NjY4 | 28,245 | DOC: fix read_excel and ExcelFile engine parameter description (#28231) | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-08-31T21:57:19Z | 2019-09-05T18:04:03Z | 2019-09-05T18:03:57Z | CONTRIBUTOR | null | Closes #28231.
First PR. Not sure if I'm doing anything wrong. | {
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... | open | false | null | [] | null | 0 | 2019-09-01T08:51:57Z | 2020-09-22T01:33:43Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame(data={'label': ['a', 'b', 'b', 'c'], 'wave': [1, 2, 3, 4], 'y': [0,0,0,0]})
###problem 1
df['n_tuple'] = df.groupby(['label'])[['wave']].transform(tuple)
df['n_set'] = df.groupby(['label'])[['wave']].transf... | {
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```python
import pandas as pd
import datetime
def get_vals(x):
return pd.Series([0,1,2], index=[2000, 2001, 2002])
b = list(range(0,3))*2
y = list(range(2000,2003))*2
df = pd.DataFrame({'b':b,'y':y})
df['date'] = pd.to_datetime(df['y'].apply(lamb... | {
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"followers_url": "https://api.github.com/users/wesm... | 11 | 2019-09-01T17:11:13Z | 2019-11-23T22:44:03Z | 2019-11-23T22:43:53Z | CONTRIBUTOR | null | - [x] closes #24893
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
# What's new
Use of `maybe_downcast_to_dtype` in `_add_margins` so it can resolve the dtype conversion, avoiding floats being converted to integers when the result of th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28249 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28249/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28249/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28249/events | https://github.com/pandas-dev/pandas/issues/28249 | 488,084,639 | MDU6SXNzdWU0ODgwODQ2Mzk= | 28,249 | Misbehavior for Dataframe updates on unexisting DateTime index | {
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... | 7 | 2019-09-02T09:10:58Z | 2021-07-11T17:22:16Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```
import pandas as pd
import datetime as dt
df = pd.DataFrame({'Date': ['2017-01-02', '2017-01-03','2017-01-04'],
'T': [10, 11,12],
'RM': [28, 29,30]})
df['Date'] = pd.to_datetime(df.Date,infer_datetime_format=Tru... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28250 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28250/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28250/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28250/events | https://github.com/pandas-dev/pandas/issues/28250 | 488,168,161 | MDU6SXNzdWU0ODgxNjgxNjE= | 28,250 | Add support for reading Stata .dta file format 119 | {
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Currently, even though Pandas can _write_ format 119 files (https://github.com/pandas-dev/pandas/blob/612d3b23da5b99f6c5642be574fb08713a45d7d1/pandas/io/stata.py#L2663), it seems unable t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28251 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28251/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28251/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28251/events | https://github.com/pandas-dev/pandas/pull/28251 | 488,226,597 | MDExOlB1bGxSZXF1ZXN0MzEzMjk0OTk2 | 28,251 | BUG: Fix numpy boolean subtraction error in Series.diff | {
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"followers_url": "https://api.github.com/users/wesm... | 24 | 2019-09-02T14:49:53Z | 2019-10-01T21:06:20Z | 2019-10-01T16:38:46Z | CONTRIBUTOR | null | A new version of the pull request (#27755), the other one was a bit behind. Original text below.
This fixes #17294, for more than three years now NumPy has not allowed the subtraction of boolean series.
TypeError Traceback (most recent call last)
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https://api.github.com/repos/pandas-dev/pandas/issues/28252 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28252/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28252/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28252/events | https://github.com/pandas-dev/pandas/issues/28252 | 488,250,518 | MDU6SXNzdWU0ODgyNTA1MTg= | 28,252 | Parquet file written with fastparquet backend cannot be read with pyarrow backend | {
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```python
In [63]: pd.DataFrame({'foo': [datetime(2019, 10, 1)], 'bar': ['test']}).to_parquet('/tmp/minimal.parquet', engine='fastparquet')
In [64]: pd.read_parquet('/tmp/minim... | {
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... | 7 | 2019-09-02T16:11:02Z | 2021-11-20T05:51:53Z | 2021-11-20T05:51:53Z | CONTRIBUTOR | null | [link to original issue](https://github.com/pandas-dev/pandas/issues/27977 (27977))
The output of `python scripts/validate_docstrings.py --errors=PR06` returns 257 instances of 'Parameter "{param_name}" type should use "{right_type}" instead of "{wrong_type}'
Given the large number of cases, it probably makes sen... | {
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I often find myself writing code like the following to create a pipeline:
```python
# specific function
def astype_int(df, cols):
"""Convert columns to integer."""
df = df.copy()
df[cols] = df[cols].astype('int')
return df
# more general
def myfun(df, cols):
"""... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28255 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28255/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28255/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28255/events | https://github.com/pandas-dev/pandas/pull/28255 | 488,300,292 | MDExOlB1bGxSZXF1ZXN0MzEzMzUyODY3 | 28,255 | BENCH: Add peakmem benchmarks for rolling | {
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$ asv dev -b rolling
[ 20.00%] ··· rolling.Methods.peakmem_rolling ok
[ 20.00%] ··· ============ ======== ======= ======== ======= ======= ======= ======= ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28256 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28256/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28256/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28256/events | https://github.com/pandas-dev/pandas/issues/28256 | 488,317,421 | MDU6SXNzdWU0ODgzMTc0MjE= | 28,256 | Timedelta in to_json object array and ISO dates not handled properly | {
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`date_format="iso"` has different behavior for Timedeltas depending on whether or not the Timedelta is in a DTA or an object array. To illustrate:
```python
# Wrong format ref 15137, but at least tries to do some formatting
>>> pd.DataFrame([[pd.Timedelta... | {
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Most of the work here is fixing the tests, which in many cases explicitly chec... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28258 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28258/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28258/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28258/events | https://github.com/pandas-dev/pandas/pull/28258 | 488,337,114 | MDExOlB1bGxSZXF1ZXN0MzEzMzgwNTI0 | 28,258 | Revert #27959 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28259 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28259/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28259/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28259/events | https://github.com/pandas-dev/pandas/pull/28259 | 488,341,035 | MDExOlB1bGxSZXF1ZXN0MzEzMzgzMzI0 | 28,259 | Fix to_json Memory Tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28260 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28260/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28260/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28260/events | https://github.com/pandas-dev/pandas/pull/28260 | 488,354,174 | MDExOlB1bGxSZXF1ZXN0MzEzMzkyNjQ3 | 28,260 | re-implement #27959 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28261 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28261/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28261/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28261/events | https://github.com/pandas-dev/pandas/issues/28261 | 488,423,322 | MDU6SXNzdWU0ODg0MjMzMjI= | 28,261 | TypeError: can only concatenate list (not "int") to list | {
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"description": "Arithmetic, Comparison, ... | open | false | null | [] | null | 4 | 2019-09-03T06:51:14Z | 2021-07-11T17:25:42Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
a = pd.Series([[12]])
b = a + [222]
```
#### Problem description
1. in pandas version 0.24, the code went well
2. in pandas version 0.25.1, the code raise TypeError can only concatenate list (not "int") to list
```shell
~\Ap... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28262 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28262/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28262/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28262/events | https://github.com/pandas-dev/pandas/issues/28262 | 488,456,795 | MDU6SXNzdWU0ODg0NTY3OTU= | 28,262 | Non-silently handle duplicate column names | {
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```python
>>> df = pd.DataFrame([[1, 2, 3]], columns=["x", "y", "x"])
>>> df['x']
x x
0 1 3
>>> df.loc[:, 'x']
x x
0 1 3
>>> df['x'].between(1,2)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "[...]/python3... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28263 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28263/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28263/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28263/events | https://github.com/pandas-dev/pandas/issues/28263 | 488,500,002 | MDU6SXNzdWU0ODg1MDAwMDI= | 28,263 | pandas.read_parquet cause OOM in a 16GB machine, it's a 200MB parquet file, 6M rows. | {
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```python
import pandas as pd
# query from db
datalist = ... # 6M rows, 4 fields(string string string datetime) every row.
df = pd.from_dict(datalist)
df.to_parquet("test.pq")
df = pd.read_parquet("test.pq") # OOM
```
#### Problem description
> d... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
I'm new at contributing on Pandas and any project at all, and saw this generic "fix docs" issue. I made some very small changes that i think it help... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28265 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28265/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28265/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28265/events | https://github.com/pandas-dev/pandas/pull/28265 | 488,591,395 | MDExOlB1bGxSZXF1ZXN0MzEzNTgwNzU2 | 28,265 | BUG: pd.to_datetime fixed (#28238) | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Fix for KeyError when trying to convert a series with unsorted float index to a DateTime
@AntonioAndraues
@Vinigl
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... | 5 | 2019-09-03T14:30:54Z | 2020-10-26T03:18:18Z | 2020-10-26T03:18:18Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({'B': [0, 1, 2, 4,3],'A':[7,4,6,9,3]},
index = [pd.Timestamp('20130101 09:00:00'),
pd.Timestamp('20130102 09:00:02'),
pd.Timestamp('201... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28267 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28267/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28267/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28267/events | https://github.com/pandas-dev/pandas/pull/28267 | 488,729,451 | MDExOlB1bGxSZXF1ZXN0MzEzNjkxNDY0 | 28,267 | BUG: Make sure correct values are passed to Rolling._on when axis=1 | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2019-09-03T17:24:19Z | 2019-09-04T17:10:19Z | 2019-09-04T17:07:17Z | MEMBER | null | - [x] closes #28192
- [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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https://api.github.com/repos/pandas-dev/pandas/issues/28268 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28268/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28268/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28268/events | https://github.com/pandas-dev/pandas/pull/28268 | 488,741,692 | MDExOlB1bGxSZXF1ZXN0MzEzNzAwOTIy | 28,268 | BUG: Timestamp+int should raise NullFrequencyError, not ValueError | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28269 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28269/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28269/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28269/events | https://github.com/pandas-dev/pandas/issues/28269 | 488,742,837 | MDU6SXNzdWU0ODg3NDI4Mzc= | 28,269 | Casting bool to object during join | {
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"description": "Concat, Merge/Join, Stac... | open | false | null | [] | null | 2 | 2019-09-03T17:56:06Z | 2021-07-11T17:26:21Z | null | NONE | null | ```python
import pandas as pd
core_df = pd.DataFrame([
{'id': 1},
{'id': 2},
]).set_index('id')
df1 = pd.DataFrame([
{'id': 1, 'foo': True},
{'id': 2, 'foo': False},
]).set_index('id')
df2 = pd.DataFrame([
{'id': 1, 'bar': 3},
{'id': 2, 'bar': 4},
{'id': 3, 'bar': 4}, # A... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28270 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28270/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28270/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28270/events | https://github.com/pandas-dev/pandas/issues/28270 | 488,757,915 | MDU6SXNzdWU0ODg3NTc5MTU= | 28,270 | Issue with pandas delimiter | {
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... | [] | closed | false | null | [] | null | 7 | 2019-09-03T18:32:20Z | 2019-11-03T00:48:56Z | 2019-11-03T00:48:55Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
from census import Census
import pandas as pd
from sqlalchemy import create_engine
import csv
import sys
filename = 'C:/Users/APIlist2.csv'
with open(filename) as f:
reader = csv.reader(f)
try:
for row in reader:
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28271 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28271/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28271/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28271/events | https://github.com/pandas-dev/pandas/issues/28271 | 488,772,339 | MDU6SXNzdWU0ODg3NzIzMzk= | 28,271 | to_numeric(errors='ignore') doesn't work with leading zeros | {
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```python
s = pd.Series([1, 1.0, '1', '1.0', ' 1', ' 1.0', '01', '01.0'])
pd.to_numeric(s, errors='ignore')
# returns [1, 1, 1, 1.0, 1, 1.0, '01', '01.0']
# but expected [1, 1, 1, 1.0, 1, 1.0, 1, 1.0]
```
#### Problem description
The `to_numeric` functio... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28272 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28272/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28272/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28272/events | https://github.com/pandas-dev/pandas/pull/28272 | 488,776,912 | MDExOlB1bGxSZXF1ZXN0MzEzNzI5MDA3 | 28,272 | DEV: remove seed isort config | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-09-03T19:16:44Z | 2019-09-04T11:26:12Z | 2019-09-04T11:26:12Z | CONTRIBUTOR | null | This was causing issues for me locally. Anyone else?
It took a while to run, and didn't seem to give the same
output as others (depends on something peculiar to my environment)
which doesn't seem to be great for a pre-commit hook.
Closes https://github.com/pandas-dev/pandas/issues/28236 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28273 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28273/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28273/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28273/events | https://github.com/pandas-dev/pandas/issues/28273 | 488,838,931 | MDU6SXNzdWU0ODg4Mzg5MzE= | 28,273 | Address Untested to_json Extension Module Code | {
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"d... | open | false | null | [] | null | 2 | 2019-09-03T21:43:23Z | 2020-05-08T21:13:14Z | null | MEMBER | null | There's an old TODO note about untested code in the extension module hanging around in objToJSON.c:
https://github.com/pandas-dev/pandas/blob/bfff080275b4456b28d71f0c7b4ec9e678d4270c/pandas/_libs/src/ujson/python/objToJSON.c#L504
Interestingly enough, this is actually tested by the `np.datetime64` parameter in `t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28274 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28274/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28274/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28274/events | https://github.com/pandas-dev/pandas/issues/28274 | 488,874,233 | MDU6SXNzdWU0ODg4NzQyMzM= | 28,274 | NDFrame.sum ignores min_count for object dtype | {
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"color": "006b75"... | closed | false | null | [] | null | 7 | 2019-09-03T23:52:37Z | 2021-07-11T17:31:00Z | 2021-07-11T17:31:00Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> index = pd.MultiIndex.from_product([['a'], ['foo', 'bar']])
>>> s = pd.Series([np.nan] * 2, index=index)
>>> s.astype('O').sum(level=1, min_count=1)
foo 0
bar 0
dtype: int64
```
#### Problem description
Using sum with a multiindex... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28275 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28275/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28275/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28275/events | https://github.com/pandas-dev/pandas/pull/28275 | 488,877,832 | MDExOlB1bGxSZXF1ZXN0MzEzODEwMDkz | 28,275 | BUG: passing DataFrame to make_block silently raises | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28276 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28276/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28276/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28276/events | https://github.com/pandas-dev/pandas/pull/28276 | 488,911,873 | MDExOlB1bGxSZXF1ZXN0MzEzODM2MDQ2 | 28,276 | CLN: catch Exception in fewer places, assorted cleanups | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28277 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28277/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28277/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28277/events | https://github.com/pandas-dev/pandas/issues/28277 | 488,943,918 | MDU6SXNzdWU0ODg5NDM5MTg= | 28,277 | `series.str.cat(series.str)` is concatenating only the largest string | {
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... | 8 | 2019-09-04T05:11:59Z | 2021-07-11T17:32:09Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
arr = ["AbC", "de", "FGHI", "j", "kLLLm"]
ps = pd.Series(arr)
expect = ps.str.cat(others=ps.str)
print(expect)
Out[16]:
0 NaN
1 NaN
2 NaN
3 NaN
4 kLLLmkLLLm
dtype: object
``... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28278 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28278/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28278/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28278/events | https://github.com/pandas-dev/pandas/issues/28278 | 488,964,971 | MDU6SXNzdWU0ODg5NjQ5NzE= | 28,278 | pivot_table(..., values='a') and pivot_talbe(...)['a'] yield different output | {
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```python
aaa = pd.pivot_table(data=human, index='patient_ID', columns='Hugo_Symbol', fill_value=0, values='RNA.alt.fra')
bbb = pd.pivot_table(data=human, index='patient_ID', columns='Hugo_Symbol', fill_value=0)['RNA.alt.fra']
print(aaa.shape)
>>> (39, 4553)
print(bbb.shape)
>>> (39, 4556)
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28279 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28279/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28279/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28279/events | https://github.com/pandas-dev/pandas/issues/28279 | 488,967,105 | MDU6SXNzdWU0ODg5NjcxMDU= | 28,279 | Series.loc[list] with uint64 keys returns a dataframe with Float64Index | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2019-09-04T06:27:51Z | 2019-11-27T20:47:44Z | 2019-11-27T20:47:44Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
bug = pd.Series([0, 1, 2, 3, 4], index=[7606741985629028552, 17876870360202815256, 13106359306506049338, 8991270399732411471, 8991270399732411472])
assert bug.loc[7606741985629028552]==0
assert bug.loc[17876870360202815256]==1
bug.loc[[76067419856... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28280 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28280/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28280/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28280/events | https://github.com/pandas-dev/pandas/issues/28280 | 489,068,200 | MDU6SXNzdWU0ODkwNjgyMDA= | 28,280 | Documentation DataFrame.plot() not available | {
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] | closed | false | null | [] | null | 1 | 2019-09-04T10:11:58Z | 2019-09-04T10:55:22Z | 2019-09-04T10:55:22Z | NONE | null | #### Problem description
In the current stable pandas documentation both [DataFrame.plot()](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.html#pandas.DataFrame.plot) and [Series.plot()](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.plot.html?highlight=plo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28281 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28281/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28281/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28281/events | https://github.com/pandas-dev/pandas/pull/28281 | 489,101,422 | MDExOlB1bGxSZXF1ZXN0MzEzOTg3MzU5 | 28,281 | DOC: Fix typo in min_rows / max_rows option example | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2019-09-04T11:25:42Z | 2019-09-05T07:49:56Z | 2019-09-04T16:13:12Z | CONTRIBUTOR | null | - Fix typo in example
- Regenerated output also seems to fix a bad output in the next line (out 32 in current online documentation) where df is truncated, when it shouldn't by according to the code
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https://api.github.com/repos/pandas-dev/pandas/issues/28282 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28282/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28282/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28282/events | https://github.com/pandas-dev/pandas/issues/28282 | 489,109,007 | MDU6SXNzdWU0ODkxMDkwMDc= | 28,282 | DataFrame.itertuples() incorrectly determines when plain tuples should be used | {
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```python
>>> import pandas, sys
>>> sys.version
'3.6.7 (default, Oct 25 2018, 09:16:13) \n[GCC 5.4.0 20160609]'
>>> pandas.__version__
'0.25.1'
>>> df = pandas.DataFrame([{f"foo_{i}": f"bar_{i}" for i in range(255)}])
>>> df.itertuples(index=False)
...
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https://api.github.com/repos/pandas-dev/pandas/issues/28283 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28283/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28283/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28283/events | https://github.com/pandas-dev/pandas/issues/28283 | 489,121,239 | MDU6SXNzdWU0ODkxMjEyMzk= | 28,283 | Various methods don't call call __finalize__ | {
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... | 34 | 2019-09-04T12:10:47Z | 2021-10-23T21:46:31Z | null | CONTRIBUTOR | null | Improve coverage of NDFrame.__finalize__
Pandas uses `NDFrame.__finalize__` to propagate metadata from one NDFrame to
another. This ensures that things like `self.attrs` and `self.flags` are not
lost. In general we would like that any operation that accepts one or more
NDFrames and returns an NDFrame should propa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28284 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28284/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28284/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28284/events | https://github.com/pandas-dev/pandas/issues/28284 | 489,206,094 | MDU6SXNzdWU0ODkyMDYwOTQ= | 28,284 | Index.drop - add inplace option | {
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Since currently inplace=True is not available, i am forced to declare a new variable to hold the result which seems cumbersome.
currently i need to write:
#drop all columns with only 1 unique value.
nunique=df.apply(pd.Series.nu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28285 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28285/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28285/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28285/events | https://github.com/pandas-dev/pandas/issues/28285 | 489,228,914 | MDU6SXNzdWU0ODkyMjg5MTQ= | 28,285 | Dataframe Groupby with Quantile Can't handle q=tuple | {
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`pd.DataFrame([[0,1,2,3],[0,4,5,6],[1,7,8,9],[1,10,11,12]],columns=['a','b','c','d']).quantile((0.01,0.99))`
but this does not:
`pd.DataFrame([[0,1,2,3],[0,4... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28286 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28286/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28286/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28286/events | https://github.com/pandas-dev/pandas/pull/28286 | 489,277,026 | MDExOlB1bGxSZXF1ZXN0MzE0MTMwODY4 | 28,286 | BUG: datetime64 - Timestamp incorrectly raising TypeError | {
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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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import numpy as np
import pandas as pd
A = pd.DataFrame({'a': [0,1], 'b': pd.SparseArray([np.nan, 1])})
# Prints empty DataFrame
A.dropna()
```
Not sure if I'm using this correctly, but I'd expect only the first row to be dropped.
#### Output of ``pd.show_versions()``
<details>
INSTALLED... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28288 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28288/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28288/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28288/events | https://github.com/pandas-dev/pandas/pull/28288 | 489,409,389 | MDExOlB1bGxSZXF1ZXN0MzE0MjM3NTE2 | 28,288 | DOC: Fix PR06 errors in Series docstrings (#28253) | {
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Mostly just converting boolean -> bool, string -> str, integer -> ; re-worded a little where necessary.
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Ran validate_docstrings.py and ... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/28290 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28290/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28290/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28290/events | https://github.com/pandas-dev/pandas/pull/28290 | 489,515,600 | MDExOlB1bGxSZXF1ZXN0MzE0MzE1OTg5 | 28,290 | Fix inconsistent casting to bool | {
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For example:
```python
import pandas as pd
df = pd.DataFrame(data={'col_1': [1, 2, 4],
'col_2': [4, 3, 2]})
print(df.to_latex(index=Fals... | {
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```python
print(df.columns)
Index([], dtype='object', name='MONTH')
df.style.highlight_max(axis=1).format("{:.0f}")
```
#### Problem description
Pandas crashes with the trace shown below, when styler applied to an empty dataframe, which contains some meta... | {
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"descriptio... | closed | false | null | [] | null | 3 | 2019-09-05T11:14:01Z | 2020-01-16T22:38:33Z | 2020-01-16T22:38:32Z | NONE | null | Hello,
I'm experiencing different behavior of the following script:
https://stackoverflow.com/questions/57791115/forecast-produced-by-gluon-ts-example-is-around-0
on Windows with Anaconda and on Ubuntu 18. It works as expected on Windows, but doesn't on Ubuntu 18 (produces plot around 0)
This seems to have s... | {
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... | 8 | 2019-09-05T11:47:59Z | 2021-09-05T21:55:14Z | 2020-01-03T13:12:59Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.rand(3, 3), columns=pd.MultiIndex.from_tuples([(1, 2), (1, 4), (5, 6)]))
df.columns = df.columns.set_levels([1, 1, 3], level=0)
```
Which raises a ```ValueError```:
```python
V... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28295 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28295/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28295/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28295/events | https://github.com/pandas-dev/pandas/issues/28295 | 489,703,840 | MDU6SXNzdWU0ODk3MDM4NDA= | 28,295 | MultiIndex.set_levels() unexpected behaviour | {
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"id": 71268330,... | closed | false | null | [] | null | 1 | 2019-09-05T11:53:34Z | 2019-09-05T16:45:07Z | 2019-09-05T16:45:07Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.rand(3, 3), columns=pd.MultiIndex.from_tuples([(1, 2), (1, 4), (5, 6)]))
df.columns = df.columns.set_levels([1, 2, 3], level=0)
```
Output:
```python
1 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28296 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28296/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28296/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28296/events | https://github.com/pandas-dev/pandas/pull/28296 | 489,774,885 | MDExOlB1bGxSZXF1ZXN0MzE0NTIxMDY5 | 28,296 | BUG: Merge on CategoricalIndex fails if left_index=True & right_index=True, but not if on={index} #28189 | {
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"de... | closed | false | null | [] | null | 5 | 2019-09-05T14:01:21Z | 2019-12-17T17:42:55Z | 2019-12-17T17:42:54Z | NONE | null | - [x] closes #28189
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This modification resolves the error in issue #28189 but still not working as expected. It seems that there is a bug related with left-join, as you... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28297 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28297/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28297/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28297/events | https://github.com/pandas-dev/pandas/pull/28297 | 489,797,340 | MDExOlB1bGxSZXF1ZXN0MzE0NTM3MDEw | 28,297 | fix Rolling for multi-index and reversed index. | {
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"followers_url": "https://api.github.com/users/wesm... | 7 | 2019-09-05T14:26:07Z | 2020-03-01T16:01:26Z | 2019-10-22T01:35:37Z | CONTRIBUTOR | null | Fix Rolling operation for level of multi-index and descending time index (that is monotonic, but decreasing).
- [x] closes #19248
- [x] closes #15584
- [x] tests passed
- [x] passes `black pandas`
- [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/28298 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28298/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28298/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28298/events | https://github.com/pandas-dev/pandas/issues/28298 | 489,873,830 | MDU6SXNzdWU0ODk4NzM4MzA= | 28,298 | Modify get_group() method to allow getting multiple groups | {
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] | closed | false | null | [] | null | 8 | 2019-09-05T16:34:00Z | 2021-08-30T05:43:12Z | 2021-07-11T17:37:10Z | NONE | null | #### Problem description
The `get_group()` method supports getting **one group** from a grouped object by
```python
# Current syntax
grouped.get_group('name1')
```
but you can't get **multiple groups** simply by
```python
# Desired syntax
grouped.get_group(['name1', 'name2'])
```
This causes *"ValueError... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28299 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28299/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28299/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28299/events | https://github.com/pandas-dev/pandas/issues/28299 | 489,896,262 | MDU6SXNzdWU0ODk4OTYyNjI= | 28,299 | to_datetime(foo, errors='coerce') does not swallow all errors | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/wesm... | 4 | 2019-09-05T17:16:42Z | 2019-09-12T12:45:21Z | 2019-09-12T12:45:21Z | CONTRIBUTOR | null | #### Code Sample
```python
# this fails with ValueError in 0.25.1:
pandas.to_datetime('200622-12-31', errors='coerce')
# but returns Timestamp('2022-06-21 19:00:00') in pandas 0.23.4
# this also fails:
pandas.to_datetime('111111-24-11', errors='coerce')
# but this does not:
pandas.to_datetime('111111-23-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28300 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28300/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28300/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28300/events | https://github.com/pandas-dev/pandas/pull/28300 | 489,901,257 | MDExOlB1bGxSZXF1ZXN0MzE0NjE5MzMy | 28,300 | BUG: make tz_localize operate on values rather than categories | {
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"followers_url": "https://api.github.com/users/wesm... | 8 | 2019-09-05T17:28:44Z | 2019-11-12T11:25:23Z | 2019-11-02T20:19:35Z | MEMBER | null | - [x] closes #27952
- [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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https://api.github.com/repos/pandas-dev/pandas/issues/28301 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28301/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28301/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28301/events | https://github.com/pandas-dev/pandas/issues/28301 | 489,916,396 | MDU6SXNzdWU0ODk5MTYzOTY= | 28,301 | groupby level after stack not actually grouping | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2019-09-05T18:01:51Z | 2019-09-10T12:05:08Z | 2019-09-10T12:05:08Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
columns = pd.MultiIndex.from_product([['a', 'b'], [1, 2]])
index = [0, 0, 1, 1]
values = np.arange(16).reshape(-1, 4)
df = pd.DataFrame(values, columns=columns, index=index)
a b
1 2 1 2
0 0 1 2 3
0 4 5 6 7... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28302 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28302/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28302/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28302/events | https://github.com/pandas-dev/pandas/issues/28302 | 489,922,188 | MDU6SXNzdWU0ODk5MjIxODg= | 28,302 | groupby(pd.Grouper) ignores loffset | {
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... | closed | false | null | [] | {
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```python
import pandas as pd
df = pd.date_range(start="1/1/2018", end="1/2/2018", periods=1000).to_frame()
print(df.resample("1h", loffset="15min").last().index)
print(df.groupby(pd.Grouper(freq="1h", loffset="15min")).last().index)
```
#### Problem descri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28303 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28303/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28303/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28303/events | https://github.com/pandas-dev/pandas/issues/28303 | 489,934,620 | MDU6SXNzdWU0ODk5MzQ2MjA= | 28,303 | Extreme performance difference between int and float factorization | {
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```python
import pandas as pd
import numpy as np
from time import time
df = pd.date_range(start="1/1/2018", end="1/2/2018", periods=1e6).to_frame()
start = time()
dfr = df.resample("1s").last()
print(time() - start)
print("Length:", len(dfr))
print... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28304 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28304/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28304/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28304/events | https://github.com/pandas-dev/pandas/pull/28304 | 490,020,024 | MDExOlB1bGxSZXF1ZXN0MzE0NzExNDU0 | 28,304 | Added a way to check if a numeric type cell is NaN | {
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- [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/28305 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28305/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28305/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28305/events | https://github.com/pandas-dev/pandas/issues/28305 | 490,022,750 | MDU6SXNzdWU0OTAwMjI3NTA= | 28,305 | Pandas df.rolling.mean() abnormal behavior for a Series having larger numbers (in the scale of billions) | {
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] | closed | false | null | [] | null | 6 | 2019-09-05T21:39:19Z | 2020-04-01T14:02:05Z | 2020-04-01T14:02:05Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
#Sample residual pcts
residuals_pct =[0.044516001,0.031137117,1.06758E+64,0.003522454,0.065171486,0.06033751,0.01325514,-0.005620799,-0.006225719,0.045713825,0.039280786,0.000531307]
#Creating a dataframe with residual percent
d = pd.DataFrame(res... | {
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```python
data = {
('effect_size', 'cohen_d', 'mean'): {
('m1', 'P3', '222'): 0.52,
('m1', 'A5', '111'): -0.07,
('m2', 'P3', '222'): -0.53,
('m2', 'A5', '111'): 0.05,
},
('wilcoxon', 'z_score', 'stouffer'): {
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28307 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28307/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28307/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28307/events | https://github.com/pandas-dev/pandas/issues/28307 | 490,053,024 | MDU6SXNzdWU0OTAwNTMwMjQ= | 28,307 | groupby/quantile breaks | {
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] | closed | false | null | [] | null | 4 | 2019-09-05T23:05:58Z | 2019-09-06T16:29:58Z | 2019-09-06T15:59:34Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
In [34]: pd.DataFrame({'x': [0, 1, 2], 'y': [0, 1, 2]}).groupby('x')['y'].quantile([0.5])
---------------------------------------... | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2019-09-05T23:26:42Z | 2019-09-07T20:10:03Z | 2019-09-07T20:09:55Z | NONE | null | When selecting a row in a data frame that only contains numeric values, pandas coerces any integer values to floats. I assume this keeps the underlying data structure more contiguous and improves performance, but it's not really semantically correct, because floats can't do everything that integers can. For example, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28311 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28311/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28311/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28311/events | https://github.com/pandas-dev/pandas/issues/28311 | 490,201,947 | MDU6SXNzdWU0OTAyMDE5NDc= | 28,311 | concat and append ignore level names and order in multi-level index DataFrames | {
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```python
>>> tmp = pd.DataFrame( { 't': [0,0], 'h': [1,2], 'k': [3,4] } )
>>> tmp
t h k
0 0 1 3
1 0 2 4
>>> tmp2 = tmp.set_index( ['h','k'] )
>>> tmp2
t
h k
1 3 0
2 4 0
>>> tmp3 = tmp.set_index( ['k','h'] ) # swap levels
>>> tmp3
t
k h
3 1 0
4 2 0
>>> tmp2.a... | {
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] | closed | false | null | [] | null | 1 | 2019-09-06T09:59:21Z | 2019-09-06T16:00:15Z | 2019-09-06T16:00:09Z | NONE | null | #### Code Sample
Using the latest version of pandas v0.25.1
```python
import numpy as np
import pandas as pd
np.random.seed(12345)
df1 = pd.DataFrame({
'category': ['A', 'A', 'A', 'A',
'B', 'B', 'B', 'B',
],
'value': np.random.randint(1, 10, 8)
})
df1.gr... | {
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