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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://api.github.com/repos/pandas-dev/pandas/issues/28813 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28813/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28813/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28813/events | https://github.com/pandas-dev/pandas/issues/28813 | 503,298,543 | MDU6SXNzdWU1MDMyOTg1NDM= | 28,813 | Diff on sparse dtype | {
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"closed_at": "2020-07-28T18:13:47Z",
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"followers_url": "https://api.github.com/users/j... | 2 | 2019-10-07T08:17:59Z | 2020-05-22T09:58:31Z | 2020-05-22T09:58:31Z | NONE | null | Correct behaviour without Sparse[int]:
```python
a = [[0, 1], [1, 0]]
print(pd.DataFrame(a).diff())
```
yields:
```
0 1
0 NaN NaN
1 1.0 -1.0
```
Current behaviour (doesn't work):
```python
a = [[0, 1], [1, 0]]
print(pd.DataFrame(a, dtype='Sparse[int]').diff())
```
yields:
```
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https://api.github.com/repos/pandas-dev/pandas/issues/28814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28814/events | https://github.com/pandas-dev/pandas/issues/28814 | 503,298,832 | MDU6SXNzdWU1MDMyOTg4MzI= | 28,814 | infer_dtype() function slower in latest version | {
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```python
from datetime import datetime
import numpy as np
import pandas as pd
from pandas.api.types import infer_dtype
print(pd.__version__)
RUN_COUNT = 5
df = pd.DataFrame(np.ones((100000, 1000)))
avg_times = []
for _ in range(RUN_COUNT):
start = datetime.now()
f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28815/events | https://github.com/pandas-dev/pandas/pull/28815 | 503,310,459 | MDExOlB1bGxSZXF1ZXN0MzI1MTg4OTA0 | 28,815 | DOC: Fixes for SA04 errors in docstrings | {
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] | closed | false | null | [] | null | 23 | 2019-10-07T08:43:32Z | 2019-12-29T13:59:48Z | 2019-12-29T13:59:48Z | NONE | null | - [x] Fixes for #28792
- [x] tested through ./scripts/validate_docstrings.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28816 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28816/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28816/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28816/events | https://github.com/pandas-dev/pandas/issues/28816 | 503,336,665 | MDU6SXNzdWU1MDMzMzY2NjU= | 28,816 | .at not setting value | {
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```python
# ff= 20
# df['B'] = 0
# df.at[4, 'B'] = -ff/100
# df.at[4, 'B']
#0
```
#### Problem description
the function Dataframe.at is not setting the value if passed as variable, instead if it's passed as number, it works
#### Expected Output
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28817 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28817/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28817/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28817/events | https://github.com/pandas-dev/pandas/issues/28817 | 503,355,943 | MDU6SXNzdWU1MDMzNTU5NDM= | 28,817 | Faster SQL implementation in d6stack library | {
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},
{
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"default"... | closed | false | null | [] | null | 7 | 2019-10-07T10:12:30Z | 2021-07-21T05:25:28Z | 2021-07-21T05:25:28Z | NONE | null | #### Code Sample
https://github.com/d6t/d6tstack/blob/master/examples-sql.ipynb
#### Problem description
In the example it currently takes 28s to upload data to an SQL database. With the d6stack implementation it only takes 4.7s with postgres and 7.1s with mysql which is 4 to 6 times faster than standard panda... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28818 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28818/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28818/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28818/events | https://github.com/pandas-dev/pandas/issues/28818 | 503,405,381 | MDU6SXNzdWU1MDM0MDUzODE= | 28,818 | read_csv improvement | {
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"followers_url": "https://api.github.com/users/jorisva... | 6 | 2019-10-07T11:57:43Z | 2019-10-26T06:50:25Z | 2019-10-07T15:33:45Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.read_csv(f,sep='\t')
```
#### Problem description
Not so much a problem as a feature possibility - when reading without the encoding= parameter, the default can be made a bit smarter; since utf-16 seems to generally start with unique chara... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28819 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28819/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28819/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28819/events | https://github.com/pandas-dev/pandas/issues/28819 | 503,441,086 | MDU6SXNzdWU1MDM0NDEwODY= | 28,819 | DOC: fix code-block in the reshaping docs | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-10-07T13:07:42Z | 2019-10-16T16:24:58Z | 2019-10-16T16:24:58Z | MEMBER | null | The code block at this location:
https://dev.pandas.io/docs/user_guide/reshaping.html#pivoting-with-single-aggregations
is not rendered correctly, as we accidentally try to render it as a note. The `.. note::` should be replaced with `.. code-block::` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28820 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28820/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28820/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28820/events | https://github.com/pandas-dev/pandas/pull/28820 | 503,465,148 | MDExOlB1bGxSZXF1ZXN0MzI1MzExODg4 | 28,820 | DOC: fix code-block in the reshaping docs | {
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] | closed | false | null | [] | null | 1 | 2019-10-07T13:49:14Z | 2019-10-08T08:42:16Z | 2019-10-08T08:41:36Z | CONTRIBUTOR | null | - [ x] closes #28819
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https://api.github.com/repos/pandas-dev/pandas/issues/28821 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28821/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28821/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28821/events | https://github.com/pandas-dev/pandas/issues/28821 | 503,481,496 | MDU6SXNzdWU1MDM0ODE0OTY= | 28,821 | Call .max method on two timezone datetime columns results in nan | {
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This works when comparing two non-timezone datetime columns
```python
a = pd.DataFrame(
{
"a": [pd.Timestamp("20180101"), np.nan],
"b": [pd.Timestamp("20190101"), pd.Timestamp("20190101")],
}
)
a.max(axis=1)
```
Output:
0 2019... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28822 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28822/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28822/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28822/events | https://github.com/pandas-dev/pandas/issues/28822 | 503,527,135 | MDU6SXNzdWU1MDM1MjcxMzU= | 28,822 | validate_docstrings.py as a separate package? | {
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```
python pandas/scripts/validate_docstrings.py sklearn.linear_model.LinearRegression
```
works, but then is a bit more difficult to customize being pandas specific.
In particular it woul... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28823 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28823/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28823/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28823/events | https://github.com/pandas-dev/pandas/issues/28823 | 503,553,839 | MDU6SXNzdWU1MDM1NTM4Mzk= | 28,823 | Feature Request: Population Covariance Calculation with ddof parameter for DataFrame.cov() | {
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The default would be `bias=False`, which would compute sample covariance with a `N-1` factor in the denominator. ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28824 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28824/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28824/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28824/events | https://github.com/pandas-dev/pandas/pull/28824 | 503,609,272 | MDExOlB1bGxSZXF1ZXN0MzI1NDI4MjE1 | 28,824 | TST: Update test in #28798 to use a Categorical | {
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"d... | closed | false | null | [] | null | 1 | 2019-10-07T18:13:09Z | 2019-10-08T06:23:15Z | 2019-10-08T06:23:10Z | CONTRIBUTOR | null | - [x] xref #28798
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
I merged #28798 too fast, as the column "Name" wasn't a Categorical, which was to be tested. I've made it a Categorical and for good measure I've adde... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28825 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28825/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28825/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28825/events | https://github.com/pandas-dev/pandas/issues/28825 | 503,655,240 | MDU6SXNzdWU1MDM2NTUyNDA= | 28,825 | UnsupportedOperation 'seek' when loading excel files from urllib3.response.HTTPResponse object | {
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"color": ... | closed | false | null | [] | null | 1 | 2019-10-07T19:51:03Z | 2019-10-18T09:44:17Z | 2019-10-18T09:44:16Z | NONE | null | 0.25.1 seems to have reintroduced #20434
**Update:** not the case, but the same problem happens when feeding `excel_read()` with an [urllib3.response.HTTPResponse](https://urllib3.readthedocs.io/en/latest/reference/#urllib3.response.HTTPResponse) object. Code sample updated.
#### Code Sample, a copy-pastable exa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28826 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28826/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28826/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28826/events | https://github.com/pandas-dev/pandas/pull/28826 | 503,655,638 | MDExOlB1bGxSZXF1ZXN0MzI1NDY1Njc5 | 28,826 | BUG: Patch for skipping seek() when loading Excel files from urllib3.response.HTTPResponse object | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Discovered that 0.25.x reintroduces #20437. Proposing the same fix here. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28827 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28827/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28827/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28827/events | https://github.com/pandas-dev/pandas/issues/28827 | 503,656,027 | MDU6SXNzdWU1MDM2NTYwMjc= | 28,827 | Docs: Does pandas `.apply()` twice on first row, or not? | {
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```python
import pandas as pd
df = pd.DataFrame({'a':list('abcdef')})
L = []
def fcn(x):
global L
L.append(x)
df.a.apply(fcn)
print(L)
# ['a', 'b', 'c', 'd', 'e', 'f']
L=[]
df.apply(lambda x: fcn(x.a), axis=1)
print(L)
# ['... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28828 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28828/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28828/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28828/events | https://github.com/pandas-dev/pandas/pull/28828 | 503,718,370 | MDExOlB1bGxSZXF1ZXN0MzI1NTE2OTAx | 28,828 | CLN: core.generic.NDFrame.astype | {
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This does not actually manifest as a bug with the current implementation since `pd.concat` ignores `None`.
```python
>>> import pandas as pd
>>>
>>> pd.__version__
'0.26.0.dev0+498.gaf498fe8f'
>>>
>>> d = {'col1': [... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28829 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28829/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28829/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28829/events | https://github.com/pandas-dev/pandas/issues/28829 | 503,730,763 | MDU6SXNzdWU1MDM3MzA3NjM= | 28,829 | CI failing Linux py36_32bit | {
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attrs 19.1 -> 19.2
https://github.com/pytest-dev/pytest/issues/5903
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https://api.github.com/repos/pandas-dev/pandas/issues/28830 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28830/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28830/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28830/events | https://github.com/pandas-dev/pandas/pull/28830 | 503,734,558 | MDExOlB1bGxSZXF1ZXN0MzI1NTI5Njk5 | 28,830 | troubleshoot CI failing Linux py36_32bit | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28831 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28831/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28831/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28831/events | https://github.com/pandas-dev/pandas/pull/28831 | 503,744,090 | MDExOlB1bGxSZXF1ZXN0MzI1NTM3NTU4 | 28,831 | Make package PEP 561 compatible | {
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`py.typed` is applied recursively, if placed in the r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28832 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28832/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28832/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28832/events | https://github.com/pandas-dev/pandas/pull/28832 | 503,783,212 | MDExOlB1bGxSZXF1ZXN0MzI1NTY4MjIz | 28,832 | TST: port tests from #23982 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28833 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28833/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28833/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28833/events | https://github.com/pandas-dev/pandas/pull/28833 | 503,796,122 | MDExOlB1bGxSZXF1ZXN0MzI1NTc3NzU2 | 28,833 | TST: fix 24 xfails in maybe_promote | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28834 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28834/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28834/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28834/events | https://github.com/pandas-dev/pandas/pull/28834 | 503,834,119 | MDExOlB1bGxSZXF1ZXN0MzI1NjA2Mjcz | 28,834 | BUG: Appending empty list to DataFrame #28769 | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/28835 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28835/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28835/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28835/events | https://github.com/pandas-dev/pandas/pull/28835 | 503,836,888 | MDExOlB1bGxSZXF1ZXN0MzI1NjA4NDIx | 28,835 | Remove NDFrameGroupBy Class | {
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- Remove NDFrameGroupBy, consolidating it's methods into DataFrameGroupBy
- Merge NDFrameGroupBy.aggregate into DataFrameGroupBy.aggregate (the latter ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28836 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28836/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28836/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28836/events | https://github.com/pandas-dev/pandas/issues/28836 | 503,856,881 | MDU6SXNzdWU1MDM4NTY4ODE= | 28,836 | NameError: name 'tempita' is not defined when building extensions with old cython | {
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```python
pietro@debiousci:~/nobackup/repo/pandas_temp$ python3 setup.py build_ext --inplace
Traceback (most recent call last):
File "setup.py", line 813, in <module>
ext_modules=maybe_cythonize(extensions, compiler_directives=directives),
File "set... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28837 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28837/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28837/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28837/events | https://github.com/pandas-dev/pandas/issues/28837 | 503,897,082 | MDU6SXNzdWU1MDM4OTcwODI= | 28,837 | df.loc modifies datetime columns | {
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```python
# Your code here
>>> df = pd.DataFrame.from_dict({"date": [1485264372711, 1485265925110, 1540215845888, 1540282121025]})
>>> df["date_dt"] = pd.to_datetime(df["date"], unit='ms', cache=True)
>>> df
date date_dt
0 14852... | {
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```python
version: 3.6.8
# Your code here
df3 = pd.DataFrame({'a': [1, 2], 'b': ['s', 'd']})
df4 = pd.DataFrame({'a': ['s', 'd'], 'b': [1, 2]})
df3.equals(df4)
```
#### Problem description
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Explanation: assume you have an ExtensionArray with list-like values (eg with an object numpy array with lists under the hood). When calling, `to_csv`, which goes through `Block.to_native_types`, we convert this to a numpy array and call ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28841 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28841/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28841/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28841/events | https://github.com/pandas-dev/pandas/pull/28841 | 504,060,393 | MDExOlB1bGxSZXF1ZXN0MzI1Nzg1MDc2 | 28,841 | BUG: use EA.astype in ExtensionBlock.to_native_types | {
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This implements a `ExtensionBlock.to_native_types` to override the base class which converts to a numpy array.
To test this is a bit tricky. The current JSONArray we have in the extension tests does not have this issue. I would need to implement and add tes... | {
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"f... | 1 | 2019-10-08T14:02:46Z | 2019-10-08T15:13:24Z | null | CONTRIBUTOR | null | Right now our 32-bit build only happens on a Linux VM in azure pipelines. Anaconda no longer builds 32-bit linux packages, and conda-forge never built 32-bit packages. So that build is likely to cause problems over time.
We should migrate to either
1. Use a 32-bit windows build, which Anaconda still builds packag... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28843 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28843/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28843/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28843/events | https://github.com/pandas-dev/pandas/issues/28843 | 504,074,780 | MDU6SXNzdWU1MDQwNzQ3ODA= | 28,843 | [TYPING] pandas.io.formats.format._binify annotation is inconsistent with DataFrameFormatter.__init__ | {
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`pd.io.formats.format._binify` defines `line_width` as `Union[np.int32, int]`:
https://github.com/pandas-dev/pandas/blob/39602e7d7c5b663696f5a6eca9e66e65483bc868/pandas/io/formats/format.py#L1893
however it is inconsistent with `DataFrameFormatter.__init__`
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"followers_url": "https://api.github.com/users/wesm... | 7 | 2019-10-08T14:54:12Z | 2019-10-08T21:00:23Z | 2019-10-08T21:00:23Z | CONTRIBUTOR | null | This fixes a bunch of spurious errors when running the test suite on pypy3.
- [ ] closes #xxxx
- [ ] 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/28845 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28845/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28845/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28845/events | https://github.com/pandas-dev/pandas/pull/28845 | 504,101,021 | MDExOlB1bGxSZXF1ZXN0MzI1ODE4MDky | 28,845 | DOC: Fixed PR08 and PR09 docstring errors in pandas.Series | {
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- [x] closes [#28738](https://github.com/pandas-dev/pandas/issues/28738)
- [x] passes `black pandas`
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1) Are there other common usages besides "XXX" that I'm not aware of?
2) Should we standardize on some usage patt... | {
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- Made `_iterate_slices` abstract in base class, moved pre-existing definition from Base -> Series where it was actually being called (DataFrame already overrides)
- Made `_wrap_transformed_output` Abstract in base class, as both Series and DataFrame override this
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Other than that there are a handful of cleanups, typings, docstring, and error message improvements collected from orphan branches locally. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28849 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28849/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28849/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28849/events | https://github.com/pandas-dev/pandas/pull/28849 | 504,155,210 | MDExOlB1bGxSZXF1ZXN0MzI1ODYyNTA2 | 28,849 | [MINOR] Fix formatting string in _ODFReader.get_sheet_by_name | {
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If `name` is not found, it attempts to raise a `ValueError` with formatted string that expects keyword argument `name`, however `names` is passed as a positional argument. In effect it will throw unexpected `KeyError`.
Steps to reproduce th... | {
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Sometimes I encounter html tables that I need to parse where cells contain full-tables themselves. When using `pd.read_html` itself, this does not work quite that well. With a simple call to pd.read_html, each of these nested tables are parsed and then "inserted"/"concatenated" as rows.
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- [x] closes #28827
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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Also change `except Foo as e:` to `except Foo as err` and remove one `except Exception` in a docs file. Clarified a whatsnew note that @jorisvandenbossche asked for a while back. | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Fixed for the following functions
`pandas.io.formats.style.Styler.set_caption
pandas.plotting.table
pandas.plotting.register_matplotlib_converte... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28859 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28859/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28859/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28859/events | https://github.com/pandas-dev/pandas/pull/28859 | 504,295,127 | MDExOlB1bGxSZXF1ZXN0MzI1OTc2Mzg0 | 28,859 | ENH: Add optional argument keep_index to dataframe melt method (merged master onto old PR) | {
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] | closed | false | null | [] | null | 4 | 2019-10-08T21:42:43Z | 2019-12-09T18:05:32Z | 2019-12-09T18:05:32Z | CONTRIBUTOR | null | This PR merges master onto @NiklasKeck's PR branch (#17440) to add an optional argument to keep_index to `pd.melt`. There is quite a bit of discussion between the following 2 PRs and issues:
Index gets lost when DataFrame melt method is used #17440
ENH: Add optional argument keep_index to dataframe melt method #174... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28860 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28860/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28860/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28860/events | https://github.com/pandas-dev/pandas/issues/28860 | 504,316,065 | MDU6SXNzdWU1MDQzMTYwNjU= | 28,860 | Suffixes not applied to join columns in pd.merge | {
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] | closed | false | null | [] | null | 8 | 2019-10-08T22:42:56Z | 2019-10-09T15:24:20Z | 2019-10-09T04:31:19Z | MEMBER | null | ```python
import pandas as pd
left = pd.DataFrame({"a": [1.0, 2.0]})
right = pd.DataFrame({"a": [1.0]})
pd.merge(left, right, how="left", on="a", suffixes=("_left", "_right"))
# a
# 0 1.0
# 1 2.0
```
#### Problem description
The documentation for `suffixes` in `pd.merge` reads:
```
suffixes :... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28862 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28862/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28862/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28862/events | https://github.com/pandas-dev/pandas/pull/28862 | 504,327,870 | MDExOlB1bGxSZXF1ZXN0MzI2MDAzMTgy | 28,862 | CLN: catch less in pd.io | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Needs work but could certainly use some guidance from @jbrockmendel
This uses the dt -> ISO string formatting that is deeply nested in the JSON ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28864 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28864/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28864/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28864/events | https://github.com/pandas-dev/pandas/pull/28864 | 504,391,436 | MDExOlB1bGxSZXF1ZXN0MzI2MDUwNDc4 | 28,864 | TST: Fix xfails for non-box maybe_promote on integer dtypes | {
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This one required pretty significant changes to the code. Using `np.min_scalar_type` and `np.can_cast` cleans this up a bit, but it is still pretty verbose. AFAICT there is no clear way to make it shorter without significantly sacrificing clarity.
In a follow-u... | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2019-10-09T04:50:28Z | 2019-12-20T01:03:29Z | 2019-10-11T15:14:07Z | MEMBER | null | The common index tests use `setup_method` to create a `dict` of indexes to test against:
https://github.com/pandas-dev/pandas/blob/df2e0813e053cc5bc924b2292ea8918a6b27f0e2/pandas/tests/indexes/test_range.py#L25-L30
This `dict` of indexes is then iterated over within the tests:
https://github.com/pandas-dev/pan... | {
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```python
df = pd.DataFrame({
'name':'a a b b c d'.split(),
'value1':[1,None,2,None,3,4],
'value2':[1,None,2,None,3,4]
})
df.columns='name v v'.split()
df.fillna({'v':0})
```
#### Problem description
display the Warning message:
```
D:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28867 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28867/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28867/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28867/events | https://github.com/pandas-dev/pandas/issues/28867 | 504,489,086 | MDU6SXNzdWU1MDQ0ODkwODY= | 28,867 | DEPR: deprecate Index.to_native_types() ? | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2019-10-09T08:17:19Z | 2020-09-19T02:13:31Z | 2020-09-19T02:13:31Z | MEMBER | null | We currently have a public `Index.to_native_types()` method (https://dev.pandas.io/docs/reference/api/pandas.Index.to_native_types.html) that somehow formats the values of the index.
Example:
```
In [3]: pd.date_range("2012", periods=3).to_native_types()
Out[3]: array(['2012-01-01', '2012-01-02', '2012-01-03'], ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28868 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28868/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28868/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28868/events | https://github.com/pandas-dev/pandas/issues/28868 | 504,524,284 | MDU6SXNzdWU1MDQ1MjQyODQ= | 28,868 | Maximum of time series with NaT returns a dtype float64 with only NaN's | {
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```python
import pandas as pd
show_bug = True
a = pd.date_range("2019-1-1", periods=10, freq="1D", tz="Europe/Paris")
b = pd.date_range("2019-1-3", periods=10, freq="1H", tz="Europe/Paris")
if show_bug:
a = pd.Index([pd.NaT] + a.to_list()[1:])
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28869 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28869/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28869/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28869/events | https://github.com/pandas-dev/pandas/issues/28869 | 504,582,681 | MDU6SXNzdWU1MDQ1ODI2ODE= | 28,869 | Cannot `style.background_gradient` on an `Int64` column | {
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"de... | closed | false | null | [] | null | 5 | 2019-10-09T11:16:33Z | 2021-02-11T10:04:04Z | 2021-02-11T10:04:04Z | NONE | null | ```python
old = pd.Series(range(9))
new = pd.Series(range(9), dtype='Int64')
print(old.min(), old.values.min(), new.min()) # =0 OK
print(new.values.min()) # KO
old.to_frame().style.background_gradient() # OK
new.to_frame().style.background_gradient() # KO
```
#### Problem description
Similarly to http... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28870 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28870/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28870/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28870/events | https://github.com/pandas-dev/pandas/issues/28870 | 504,589,018 | MDU6SXNzdWU1MDQ1ODkwMTg= | 28,870 | Merge_asof() Requires specific int type, not reflected in error or documentation | {
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```python
import pandas as pd
left = pd.DataFrame({'ts_int': [0, 100, 200], 'left_val': [1, 2, 3]})
right = pd.DataFrame({'ts_int': [50, 150, 250], 'right_val': [1, 2, 3]})
left['ts_int'] = left['ts_int'].astype(int)
right['ts_int'] = right['ts_int'].astyp... | {
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```python
import datetime
import pandas as pd
test = pd.DataFrame({'date':[datetime.datetime(2000,1,1)]}).set_index('date')
test = test[0:0].copy()
test['3010'] = None
test['2010'] = None
print(test)
```
#### Problem description
The column '3010... | {
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```python
import numpy as np
import pandas as pd
# a simple population of integer events
population = np.array([1, 2, 2, 3, 3, 3])
# let's make a histogram of the population
hist, edges = np.histogram(population, 4)
# lets turn the histogram into... | {
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... | closed | false | null | [] | null | 10 | 2019-10-09T18:31:52Z | 2020-02-06T23:59:52Z | 2020-02-06T23:59:52Z | NONE | null | closes #16716
closes #28825
closes #28826
solves https://github.com/pandas-dev/pandas/pull/16910
- [ ] tests added / passed
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Continuation of https://github.com/pandas-dev/pandas/pull/21504 an... | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-10-09T18:58:32Z | 2019-10-12T15:49:35Z | 2019-10-11T12:09:34Z | CONTRIBUTOR | null | - [x] closes #28870
- [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`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/28877 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28877/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28877/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28877/events | https://github.com/pandas-dev/pandas/issues/28877 | 504,853,415 | MDU6SXNzdWU1MDQ4NTM0MTU= | 28,877 | read_json should support json pagination | {
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] | closed | false | null | [] | null | 2 | 2019-10-09T19:41:53Z | 2019-10-10T15:48:29Z | 2019-10-10T15:48:29Z | NONE | null | #### Problem description
Many web service return data divided in subsets. Common conventrion is return data as dict:
```
{"count":78,
"next":"link to next part of data or null",
"previous":null,
"results":[
{"name":"John"surname":"Smith"},
{"name":"Bob"surname":"Black"},
]}
```
Could you consider to ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28878 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28878/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28878/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28878/events | https://github.com/pandas-dev/pandas/pull/28878 | 504,861,248 | MDExOlB1bGxSZXF1ZXN0MzI2NDIyMTUz | 28,878 | CLN: dont catch on groupby.mean | {
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cc @WillAyd | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28880 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28880/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28880/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28880/events | https://github.com/pandas-dev/pandas/pull/28880 | 504,884,404 | MDExOlB1bGxSZXF1ZXN0MzI2NDQwMDMx | 28,880 | TST: Fix maybe_promote floating non-boxed tests | {
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I think that this is the last of the xfails for non-boxed test cases. Really looking forward to having this done with,. | {
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Python: 3.7.3
Pandas: 0.25.1
The DataFrame object has functions such as mean() and sum() which return a Series that contains the appropriate aggregation for each column of the DataFrame. Not all data types are appropriate for all aggregations. For example, strings are not suitable for mean or sum.
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```python
dtf = dtf.groupby(cut(dtf[X], rng)).quantile(.5)
```
#### Problem description
Process: Python [24642]
Path: /Library/Frameworks/Python.framework/Versions/3.7/Resources/Python.app/Contents/MacOS/Python
Identifier:... | {
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First part of removal od ``NDFrame.ix``. There's still alot of tests for this, so I'll do this removal in 2-3 steps. This PR removes pandas/tests/indexing/test_ix.py and tests for ix in a few more places. | {
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Also I think there is some na-checking code that we can share between the various fused-types functions after this. | {
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```python
# code
df_sam = pd.DataFrame([["a", 'b'], ["", "c"], ["c","d"], ["", "s"]], columns=["col1", "col2"])
```
df_sam dataframe:
| col1 | col2 |
| --- | --- |
| a | b |
| | c|
| c | d |
| | s |
#### the expected result is
```python
df_sam... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28890 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28890/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28890/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28890/events | https://github.com/pandas-dev/pandas/pull/28890 | 505,078,538 | MDExOlB1bGxSZXF1ZXN0MzI2NTgyMjY5 | 28,890 | DOC: Update performance comparison section of io docs | {
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- [ ] closes #xxxx
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t = [1]*4782+[2]*1030+[3]*251+[4]*122+[5]*177
t = pd.Series(t)
result = pd.qcut(t,50,duplicates = 'drop').value_counts()
problem:
print(result), we get
(0.999, 2.0] 5812
(2.0, 3.0] 251
(4.0, 5.0] 177
(3.0, 4.0] 122
t.value_counts(), we get
1 4782
2 1030
3 251
5 ... | {
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```python
>>> import pandas as pd
>>> d = pd.DataFrame(([1, 2], [3, 4]), columns=["Col 1", "Col 2"])
>>> d.query("`Col 1` < `Col 2`") # This works as expected.
Col 1 Col 2
0 1 2
1 3 4
>>> d.query("`Col 1` < `Col 2`") # 2 whitespaces between "Col" and "1". Also works,... | {
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`pd.DataFrame({"a":[1,2,3]}).a.values.item(0)` --- this is actual expected behaviour
- [ ] closes #xxxx
- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/28895 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28895/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28895/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28895/events | https://github.com/pandas-dev/pandas/issues/28895 | 505,292,480 | MDU6SXNzdWU1MDUyOTI0ODA= | 28,895 | Create to_elastic method | {
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### Problem description
Create method to export a pandas dataframe data to elasticsearch json format like to_excel, to_csv, to_sql methods.
### Input
df : pandas dataframe
index : str : elasticsearch index
type : str : elasticsearch type
EX :
df.head... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28896 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28896/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28896/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28896/events | https://github.com/pandas-dev/pandas/issues/28896 | 505,328,202 | MDU6SXNzdWU1MDUzMjgyMDI= | 28,896 | Failing multiplication if both dataframes contain the (seemingly) identical categorical column | {
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"c... | closed | false | null | [] | null | 2 | 2019-10-10T14:57:25Z | 2020-08-19T12:30:10Z | 2020-08-19T12:30:10Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
pop = pd.read_pickle('pop.pcl')
a = pd.read_pickle('rates_all.pcl')
b = pd.read_pickle('rates_main.pcl')
print('####### Dataframes #######')
print(pop)
print(a)
print(b)
print('\n####### Indices #######')
print(b.inde... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28897 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28897/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28897/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28897/events | https://github.com/pandas-dev/pandas/pull/28897 | 505,358,818 | MDExOlB1bGxSZXF1ZXN0MzI2ODA3NzY0 | 28,897 | REF: maybe_promote refactor/cleanup | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2019-10-10T15:48:17Z | 2019-10-12T18:27:57Z | 2019-10-12T17:14:22Z | MEMBER | null | There is some casting we currently do in many places in this function. Instead this PR implements `_ensure_dtype_type` and calls it once at the end of the function.
Removes _check_lossless_cast which can be replaced with np.can_cast | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28898 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28898/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28898/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28898/events | https://github.com/pandas-dev/pandas/issues/28898 | 505,373,895 | MDU6SXNzdWU1MDUzNzM4OTU= | 28,898 | AttributeError: module 'pandas.core.common' has no attribute '_unpickle_array' | {
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```
pandas\core\frame.py:2742:23: error: Module has no attribute "_unpickle_array" [attr-defined]
pandas\core\frame.py:2744:17: error: Module has no attribute "_unpickle_array" [attr-defined]
pandas\core\frame.py:2751:17: error: Module has no attribute "_unpickle_array" [attr-defined]
pandas\core\fr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28899 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28899/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28899/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28899/events | https://github.com/pandas-dev/pandas/pull/28899 | 505,389,847 | MDExOlB1bGxSZXF1ZXN0MzI2ODMzMTA4 | 28,899 | REF: simplify maybe_promote integer cases | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-10-10T16:47:28Z | 2019-10-10T22:58:04Z | 2019-10-10T22:53:02Z | MEMBER | null | @jreback its a little absurd how much this can be simplified after all the trouble I went through to on the last round
Let's hope the float cases simplify as nicely (separate branch/PR) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28900 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28900/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28900/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28900/events | https://github.com/pandas-dev/pandas/issues/28900 | 505,394,350 | MDU6SXNzdWU1MDUzOTQzNTA= | 28,900 | API/DEPR: numeric_only kwarg for apply/reductions | {
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"default": f... | closed | false | null | [] | null | 17 | 2019-10-10T16:56:57Z | 2021-10-06T18:08:36Z | 2021-10-06T18:08:36Z | MEMBER | null | A lot of complexity in DataFrame._reduce/apply/groupby ops is driven by the numeric_only=None. In these cases we try to apply the reduction to non-numeric dtypes and if it fails, exclude them. This hugely complicated our exception handling.
We should consider removing that option and require users to subset the ap... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28901 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28901/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28901/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28901/events | https://github.com/pandas-dev/pandas/issues/28901 | 505,394,520 | MDU6SXNzdWU1MDUzOTQ1MjA= | 28,901 | Unable to map background gradient from numeric column entry to entire row | {
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```python
import pandas as pd
import seaborn as sns
data = [['thing', 'T01', 0], ['thing2', 'T02', 5], ['thing3', 'T03', 25], ['thing', 'T01', 2]]
df = pd.DataFrame(data, columns=['Access', 'Access ID', 'Freq'])
cm = sns.light_palette("green", as_cmap=True)
df.style.set_caption('Access').background_gradient(c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28902 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28902/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28902/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28902/events | https://github.com/pandas-dev/pandas/issues/28902 | 505,401,491 | MDU6SXNzdWU1MDU0MDE0OTE= | 28,902 | No metadata preventing installs of other packages | {
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```
No metadata found in ./anaconda3/lib/python3.7/site-packages
Could not install packages due to an EnvironmentError: [Errno 2] No such file or directory: '/Users/lmcquillan/anaconda3/lib/python3.7/site-packages/pan... | {
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Code found here:
https://github.com/pandas-dev/pandas/blob/v0.25.1/pandas/plotting/_core.py#L424
Example from https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.boxplot.html does not work properly.
#### Code Sample
```python
import iter... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28904 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28904/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28904/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28904/events | https://github.com/pandas-dev/pandas/pull/28904 | 505,471,094 | MDExOlB1bGxSZXF1ZXN0MzI2ODk4MTk3 | 28,904 | clean tests/indexing/common.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28905 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28905/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28905/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28905/events | https://github.com/pandas-dev/pandas/issues/28905 | 505,471,489 | MDU6SXNzdWU1MDU0NzE0ODk= | 28,905 | Warning when plotting a DataFrame with a single row | {
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] | closed | false | null | [] | null | 4 | 2019-10-10T19:41:05Z | 2020-02-17T15:27:36Z | 2020-02-17T15:27:35Z | NONE | null | Closely related to #18306, item 9 in the listing, but probably not an exact duplicate. Based on StackOverflow question https://stackoverflow.com/q/58322744/2988730.
Simple code to reproduce:
```
import pandas as pd
df = pd.DataFrame([[1, 2, 3]], columns=['A', 'B', 'C'])
df.set_index('A', inplace=True)
df.pl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28906 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28906/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28906/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28906/events | https://github.com/pandas-dev/pandas/issues/28906 | 505,483,922 | MDU6SXNzdWU1MDU0ODM5MjI= | 28,906 | read_json doesn't work on binary files with lines=True and chunksize | {
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"description": "read_jso... | open | false | null | [] | null | 6 | 2019-10-10T20:08:23Z | 2020-06-15T06:21:06Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
Using `test.jsonl` as the following:
{"test1":10}
{"test2":"hi"}
```python
with open('test.jsonl', 'rb') as f:
df = pd.read_json(f, lines=True, chunksize=1)
for chunk in df:
print(chunk)
```
#### Problem description
When I try to use... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28907 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28907/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28907/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28907/events | https://github.com/pandas-dev/pandas/pull/28907 | 505,493,521 | MDExOlB1bGxSZXF1ZXN0MzI2OTE1OTk5 | 28,907 | Added note to 'contributing.rst file', telling users to append GH Issue… | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-10-10T20:28:37Z | 2019-10-12T17:10:03Z | 2019-10-12T17:09:57Z | CONTRIBUTOR | null | … Number to new tests.
- [ X ] closes #28703
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https://api.github.com/repos/pandas-dev/pandas/issues/28908 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28908/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28908/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28908/events | https://github.com/pandas-dev/pandas/pull/28908 | 505,523,128 | MDExOlB1bGxSZXF1ZXN0MzI2OTM5MzEx | 28,908 | TYPING: fix type annotation for pandas.io.formats.format._binify | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2019-10-10T21:33:51Z | 2019-10-11T12:41:24Z | 2019-10-11T12:41:20Z | MEMBER | null | - [ ] closes #28843
- [n/a ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [n/a ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/28909 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28909/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28909/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28909/events | https://github.com/pandas-dev/pandas/issues/28909 | 505,529,066 | MDU6SXNzdWU1MDU1MjkwNjY= | 28,909 | DOC: diff() when using unsigned ints | {
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"followers_url": "https://api.github.com/users/j... | 0 | 2019-10-10T21:49:32Z | 2020-06-01T10:32:23Z | 2020-06-01T10:32:23Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> import numpy as np
>>> import pandas as pd
>>>
>>> s = pd.Series([1, 0], dtype=np.uint8)
>>> s.diff()
0 NaN
1 255.0
dtype: float64
```
#### Problem description
The current version of the docs don't reflect on what happens when ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28910 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28910/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28910/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28910/events | https://github.com/pandas-dev/pandas/pull/28910 | 505,529,698 | MDExOlB1bGxSZXF1ZXN0MzI2OTQ0Njc2 | 28,910 | TYPING: errors reported by mypy 0.730 | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2019-10-10T21:51:14Z | 2019-10-11T13:44:44Z | 2019-10-11T11:58:25Z | MEMBER | null | errors reported by mypy 0.730 on master.
```
pandas\compat\pickle_compat.py:71: error: Incompatible return type for "__new__" (returns "Series", but must return a subtype of "_LoadSparseSeries")
pandas\compat\pickle_compat.py:85: error: Incompatible return type for "__new__" (returns "DataFrame", but must return a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28911 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28911/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28911/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28911/events | https://github.com/pandas-dev/pandas/issues/28911 | 505,532,987 | MDU6SXNzdWU1MDU1MzI5ODc= | 28,911 | REF: get rid of register_dtype | {
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"de... | closed | false | null | [] | null | 3 | 2019-10-10T22:00:27Z | 2019-11-05T22:10:26Z | 2019-11-05T22:10:26Z | MEMBER | null | AFAICT the only reason we need register_dtype is so that we can have a list of extent EA Dtypes to iterate over when doing is_extension_array_dtype. Is that inaccurate?
If so, let's just use `ExtensionDtype.__subclasses__()` and avoid some globals and decorators. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28912 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28912/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28912/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28912/events | https://github.com/pandas-dev/pandas/pull/28912 | 505,537,362 | MDExOlB1bGxSZXF1ZXN0MzI2OTUwNzQ4 | 28,912 | Maintain Timezone Awareness with to_json and date_format="iso" | {
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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
This vendors updates from numpy that allow for tz-aware ISO date formatting. Note this does slightly change the behavior of UTC dates. Previously th... | {
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