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https://api.github.com/repos/pandas-dev/pandas/issues/29614 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29614/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29614/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29614/events | https://github.com/pandas-dev/pandas/issues/29614 | 522,661,931 | MDU6SXNzdWU1MjI2NjE5MzE= | 29,614 | Cannot load CSV file into SQL using to_sql where data contains literal "NA" | {
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```
runfile('/Users/********/Documents/GitHub/********/Python/temp.py', wdir='/Users/********/Documents/GitHub/********/Python')
1 records processed.
2 records processed.
3 records processed.
Traceback (most recent call last):
File "<ipython-input-14-3bcf066bc8aa>", line 1, in <module>
runfile('/U... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29615 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29615/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29615/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29615/events | https://github.com/pandas-dev/pandas/issues/29615 | 522,832,709 | MDU6SXNzdWU1MjI4MzI3MDk= | 29,615 | ENH: Add suffixes for pd.concat when axis=1 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29616 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29616/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29616/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29616/events | https://github.com/pandas-dev/pandas/pull/29616 | 522,883,460 | MDExOlB1bGxSZXF1ZXN0MzQwOTk0ODU1 | 29,616 | Triage guide | {
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cc @pandas-dev/pandas-core. Any sections I'm missing? Any statements you disagree with?
xref https://github.com/pandas-dev/pandas-governance/issues/11 (writing down a policy for triaging once we have one). | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-11-14T15:01:34Z | 2020-08-03T23:19:27Z | 2020-08-03T23:19:27Z | CONTRIBUTOR | null | This is a very strange error with a long traceback. I found #15680 and #11324 mentioning similar things, but neither seem to cover the behavior here
#### Code Sample, a copy-pastable example:
```python
import datetime
import pandas as pd
recs = [{'LIVE': 1,
'ITEM': '001',
'DATE': datetime... | {
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```python
import pandas as pd
d = pd.DataFrame([[1, 2], [3, 4]], columns=['a', 'b'], dtype="Float64")
d.eval('c = b - a', inplace=True)
```
### This code fails with the following stacktrace below
```python
d = pd.DataFrame([[1, 2], [3, 4]], columns=['a', 'b'], dtype="Int64")
d.eval('c ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29619 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29619/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29619/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29619/events | https://github.com/pandas-dev/pandas/pull/29619 | 522,951,955 | MDExOlB1bGxSZXF1ZXN0MzQxMDUxMDUz | 29,619 | Update nullable integer docs with None instead of np.nan | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2019-11-14T16:00:41Z | 2019-11-14T18:26:02Z | 2019-11-14T18:07:11Z | CONTRIBUTOR | null | Update nullable integer docs with None instead of np.nan
- [X] closes #29599
- [ ] 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/29620 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29620/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29620/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29620/events | https://github.com/pandas-dev/pandas/pull/29620 | 523,036,282 | MDExOlB1bGxSZXF1ZXN0MzQxMTIwMDE2 | 29,620 | REF: eliminate statefulness in FrameApply | {
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So I decided to reinstall all of the packages.
And while running the command ```python -m pip install -r requirements-dev.txt``` I got this output:
```
Building wheels for collected packages: bottleneck, pyarrow
Building wheel for bottleneck (PEP 51... | {
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... | 13 | 2019-11-14T20:58:53Z | 2020-04-11T01:32:21Z | 2020-04-11T01:32:20Z | CONTRIBUTOR | null | `test_thousands_macau_index_col` in `test_html` fails using beautifulsoup4 version 4.8.1 and passes using version 4.7.1.
Example failures:
https://travis-ci.org/pandas-dev/pandas/jobs/611742966
As pointed out by @jreback in this PR - https://github.com/pandas-dev/pandas/pull/29603
Example failing build pre my... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29623 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29623/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29623/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29623/events | https://github.com/pandas-dev/pandas/issues/29623 | 523,136,235 | MDU6SXNzdWU1MjMxMzYyMzU= | 29,623 | BUG: incorrect output of first('1M') in case if first index is the last day of the month | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-11-14T22:17:40Z | 2020-12-19T02:14:08Z | 2020-12-19T02:14:08Z | CONTRIBUTOR | null | #### Code Sample
```python
x = pd.Series(1, index=pd.bdate_range('2010-03-31', periods=100))
print(x.first('1M')) # Returns March and April
print(x.first('2M')) # Returns March, April and May
# etc...
```
#### Problem description
In case if the first index of the series falls on the last day of the month,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29624 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29624/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29624/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29624/events | https://github.com/pandas-dev/pandas/issues/29624 | 523,144,943 | MDU6SXNzdWU1MjMxNDQ5NDM= | 29,624 | Boolean string methods on empty Series return object dtype | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-11-14T22:38:46Z | 2019-11-17T23:06:35Z | 2019-11-17T23:06:35Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [7]: pd.Series([], dtype=object).str.isalnum()
Out[7]: Series([], dtype: object)
```
#### Problem description
On empty series, we return an object-dtype result, rather than bool. I might expect
this to be a boolean dtype to match the non-empt... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29625 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29625/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29625/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29625/events | https://github.com/pandas-dev/pandas/pull/29625 | 523,152,399 | MDExOlB1bGxSZXF1ZXN0MzQxMjE0NTc1 | 29,625 | CLN: Make non-empty **kwargs in Index.__new__ fail instead of silently dropped | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2019-11-14T22:56:59Z | 2019-11-17T10:23:50Z | 2019-11-17T10:23:44Z | CONTRIBUTOR | null | In #29624 I made change so random kwargs weren't passed to ``Index._simple_new``. I'v found out after merging that the selected solution dropped non-empty kwargs, which isn't great either.
This version ensures that passing non-accepted kwargs raises, so ``pd.Index(['a'], foo="foo")`` raises a TypeError. Instead of r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29626 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29626/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29626/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29626/events | https://github.com/pandas-dev/pandas/pull/29626 | 523,182,500 | MDExOlB1bGxSZXF1ZXN0MzQxMjM4Mjg1 | 29,626 | CLN: groupby | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29627 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29627/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29627/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29627/events | https://github.com/pandas-dev/pandas/pull/29627 | 523,199,318 | MDExOlB1bGxSZXF1ZXN0MzQxMjUxNjkw | 29,627 | CLN: reshape | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29631 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29631/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29631/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29631/events | https://github.com/pandas-dev/pandas/pull/29631 | 523,234,903 | MDExOlB1bGxSZXF1ZXN0MzQxMjc5Njgx | 29,631 | TST: add test case for user-defined function taking correct path in groupby transform | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29632 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29632/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29632/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29632/events | https://github.com/pandas-dev/pandas/pull/29632 | 523,344,827 | MDExOlB1bGxSZXF1ZXN0MzQxMzY1ODg4 | 29,632 | REGR: fix DataFrame.agg case with list-like return value | {
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cc @jbrockmendel | {
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"description": "String extension data ty... | open | false | null | [] | null | 3 | 2019-11-15T11:36:55Z | 2020-05-03T20:34:31Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
S = pd.Series(['1+1=2'])
S.str.rsplit(r'\+|=')
# returns:
0 [1+1=2]
S.str.rsplit(r'\+|=', expand=True)
# returns:
0
0 1+1=2
```
#### Problem description
The `str.rsplit` method is not recognizing regex patt... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29634 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29634/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29634/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29634/events | https://github.com/pandas-dev/pandas/issues/29634 | 523,440,780 | MDU6SXNzdWU1MjM0NDA3ODA= | 29,634 | apply function have some problem | {
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import pandas as pd
pd.__version__
>> '0.25.0'
# Your code here
def test_in_test(val):
return
def test(row):
print(1)
print(2)
print('val', row[0])
return pd.Series([1,2,3,4,5,6,7])
test_df = pd.DataFrame({'a':range(2), 'b':range(2,2)})
test_df
>>
a | b
0 | 2
1 | ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29635 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29635/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29635/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29635/events | https://github.com/pandas-dev/pandas/issues/29635 | 523,441,969 | MDU6SXNzdWU1MjM0NDE5Njk= | 29,635 | Gropuby using pd.Series.mode throws error when `by` column contains values with same starting value | {
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"id": 7... | open | false | null | [] | null | 3 | 2019-11-15T12:25:29Z | 2021-08-12T21:40:42Z | null | NONE | null | #### Groupby with pd.Series.mode throws error, if `by` values starts with a value from previous row.
```python
df2 = pd.DataFrame({
"Name" : ['Thomas', 'Thomas', 'Thomas John'],
"Credit" : [1200, 1300, 900],
"Mood" : ['sad', 'happy', 'happy']
})
aggrFDColumnDetails = {
'Mood':pd.Series.mode,
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1. `upsert_delete` - prioritizes new data from incoming dataframe. Deletes clashing records in the databas... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29637 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29637/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29637/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29637/events | https://github.com/pandas-dev/pandas/pull/29637 | 523,514,636 | MDExOlB1bGxSZXF1ZXN0MzQxNTAzMTgw | 29,637 | REF/API: String methods refactor | {
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"de... | closed | false | null | [] | null | 6 | 2019-11-15T14:53:32Z | 2019-11-16T22:33:22Z | 2019-11-16T22:33:01Z | CONTRIBUTOR | null | edit: probably closing this: See https://github.com/pandas-dev/pandas/pull/29640 for a simpler alternative.
In preparation for https://github.com/pandas-dev/pandas/pull/29597, this changes the string methods implemetation to
* Use masks to apply the function just to valid values.
* Disables all unnecessary infer... | {
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] | closed | false | null | [] | null | 3 | 2019-11-15T16:21:41Z | 2020-03-02T13:55:36Z | 2020-03-02T13:55:35Z | NONE | null | I have a data set of multiple work lists for my job and I am trying to sort values before dropping duplicates, but the code below give me this error:
import pandas as pd
Disputes = Disputes.sort_values(axis=1, by=['Invoice Number', 'Report Date'], inplace = True).drop_duplicates(subset=['Invoice Number', 'Report Da... | {
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- [ ] closes #29484
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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This is a much smaller change. It only changes the codepath for StringDtype.
I think this is OK since someday (well down the road) we'll want to deprecate
the `.str` accessor on object-dtype Series. When we enforce that, we can just
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https://api.github.com/repos/pandas-dev/pandas/issues/29641 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29641/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29641/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29641/events | https://github.com/pandas-dev/pandas/pull/29641 | 523,609,491 | MDExOlB1bGxSZXF1ZXN0MzQxNTc2Nzk3 | 29,641 | REF: make _aggregate_series_pure_python extraction behave like the cython version | {
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_try_cast is a no-op if passed a scalar, so is unnecessary for some reduction/aggregation ops. After #29641 i think we can get rid of more of these calls. | {
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```
installing dbs
psql: could not connect to server: No such file or directory
Is the server running locally and accepting
connections on Unix domain socket "/tmp/.s.PGSQL.5432"?
The command "ci/setup_env.sh" failed and exited with 2 during ... | {
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```
flake8 --version
3.7.9 (flake8-comprehensions: 3.1.0, mccabe: 0.6.1, pycodestyle: 2.5.0, pyflakes: 2.1.1) CPython 3.7.3 on Linux
Linting .py code
##[error]./pandas/io/pytables.py(1344,21): error C414: Unnecessary list call within sorte... | {
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```python
> s1 = pd.Series(['x', 'y', None], index=[0, 0, 0])
> s1.isna()
0 False
0 False
0 True
dtype: bool
> s2 = pd.Series(['x', 'y', np.nan], index=[0, 0, 0])
> s2.isna()
0 False
0 False
0 True
dtype: bool
# But groupby do... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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df = pd.DataFrame({'A': [0.1, 0.2, 0.3], 'B': [1.0, 2.0, 3.0]}, dtype='Sparse[float64, nan]')
df1 = df.iloc[0]
df1._is_view
```
#### Problem description
When calling `.iloc` on a sparse DataFrame, it seems to return a copy rather than a view. Is this expected behavior?
#### Expected Output
Gett... | {
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This implements a hack, so when any contributor writes the keyword `take` in an issue, GitHub actions will automatically assign the issue to the commenter.
I think this should be very helpful once people start to assign issues to themselves, since adding... | {
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Take this example:
```python
df1 = DataFrame({"col1": [1, 2, 3], "col_left": ["a", "b", "c"]})
df2 = DataFrame({"col1": [2, 3, 4], "col_right": ["d", "e", "f"]})
test = merge(
df1,
df2,
on="col1",
how="outer"... | {
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```python
from io import StringIO
import pandas
input = StringIO("some\tcontent\n")
pandas.read_fwf(input)
```
#### Problem description
If you run the above code with ``-bb``, it crashes with ``BytesWarning``:
```
％ python -bb repro.py
Traceba... | {
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between left and right dataframes. Updated docs and tests for new
feature.
- [x] closes #xxxx
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [x] tests added / passed
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Not sure if this makes sense, but let's try if this is the problem. | {
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of the problem was sorting Blocks of DataFrame by type, and then
mgr_locs before comparison. It resulted in arranging the identical blocks
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https://api.github.com/repos/pandas-dev/pandas/issues/29660 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29660/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29660/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29660/events | https://github.com/pandas-dev/pandas/issues/29660 | 523,838,958 | MDU6SXNzdWU1MjM4Mzg5NTg= | 29,660 | can nod concatenate character 'm' and a series | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2019-11-16T12:29:49Z | 2019-11-16T18:02:50Z | 2019-11-16T18:02:36Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({"a": [1, 2, 3], })
print("m" + df["a"].astype(str))
```
#### Problem description
```
Traceback (most recent call last):
File "D:/test/plot1.py", line 4, in <module>
print("m" + df["a"].astype(str))... | {
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This PR adds a simple action with an echo, so we can activate GitHub actions risk free, and when we move an actual build, the action will run in the PR, and we can see that it works.
Tested this action in a test repo, to make sure it works: h... | {
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continuation of https://github.com/pandas-dev/pandas/pull/29571
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- pytest
- pytest>=4.0.2
- pytest>=4.0.2,<5.0
- pytest=4.5.0
- pytest>=5.0.0
- pytest>=5.0.1
Since pytest is not a pandas dependency, but just a tool we use,... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Made `_update` private just to make it easier to reason about this thing | {
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... | open | false | null | [] | null | 0 | 2019-11-17T08:58:17Z | 2020-05-08T00:41:39Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
naValues = ''
testdf = pd.read_excel('read_excel_bug.xlsx',
sheet_name=0,header=0, names=None, index_col=None,
usecols=None, squeeze=False, dtype=None, engine=None,
converter... | {
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I still see people posting issue for the change of behaviour in `to_string(index=False)` on pandas such as #28538 , so I think it migh... | {
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"d... | open | false | null | [] | null | 17 | 2019-11-17T15:02:55Z | 2021-07-23T04:38:30Z | null | MEMBER | null | In #28531 we started to parallelize tests in the CI by file. Meaning that each file in `pandas/tests/` will be assigned to a core, and will run fully there. Before, each individual test was assigned to a core. This makes things much simpler, since tests that cannot run in parallel just need to live in the same file. Bu... | {
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(This will avoid code checks failing when a new black version is released)
As per comment from @jreback here https://github.com/pandas-dev/pandas/pull/29508#discussion_r346316578 | {
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- This makes `windows.yml` and `posix.yml` steps pretty similar and they could potentially be merged/reduce duplication? (Will leave this for a separate PR)
- We also now use `ci/run_tests.sh` for windows test stage.
Reference https://github.com/pandas-dev/pandas/pull/27195 where I began this. | {
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[gw1] linux -- Python 3.6.6 /home/travis/miniconda3/envs/pandas-dev/bin/python
data = '👍...'
@pytest.mark.single
@pytest.mark.clipboard
@pytest.mark.skipif(not _DEPS_INSTALLED, reason="clipboard primitives not installed")
@pytest.mark.parametrize("data", ["\U0001f44d...", "Ωœ∑´...", "abcd..."... | {
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In our CI builds we're using different versions of pytest, pytest-xdist and other tools. Looks like Python 3.5 was forcing part of this, since some packages were not available.
In this PR I standardize the tools and versions we use in all packages, with only two exceptions:
- In 32 bits we in... | {
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Added dtype=bool argument to make _noarg_wrapper() return a bool Series
- [x] closes #29624
- [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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Looks like the code in one of the checks in `ci/code_checks.sh` uses another encoding for spaces and other characters. I guess it was generated from Windows, Azure-pipelines is not sensitive to the different encoding, but GitHub actions is.
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```python
ipdb> value = np.array([np.datetime64(1, 'ms')], dtype="<M8[ms]")
ipdb> pd.Series(value)
0 1970-01-01 00:00:00.001
dtype: datetime64[ns]
ipdb> value = np.array([np.datetime64(1, 'ms')], dtype=">M8[ms]")
ipdb> pd.Series(value)
*** pandas._libs.t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29685 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29685/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29685/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29685/events | https://github.com/pandas-dev/pandas/issues/29685 | 524,355,237 | MDU6SXNzdWU1MjQzNTUyMzc= | 29,685 | CI: Inconsistencies in the CI tests | {
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"d... | open | false | null | [] | null | 6 | 2019-11-18T13:04:48Z | 2019-12-31T16:25:11Z | null | MEMBER | null | Not sure if anyone know exactly what we are testing, but after removing Python 3.5 and some other old stuff, I think we've got lots of builds testing almost the same things, and the lack of a clear structure is preventing us from finding inconsistencies easily.
Some things that seem wrong:
- I don't think we're run... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29686 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29686/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29686/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29686/events | https://github.com/pandas-dev/pandas/issues/29686 | 524,399,604 | MDU6SXNzdWU1MjQzOTk2MDQ= | 29,686 | API: any/all in context of boolean dtype with missing values | {
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*edit from Tom: Here's a proposed table of behavior*
| case | input ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29687 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29687/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29687/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29687/events | https://github.com/pandas-dev/pandas/issues/29687 | 524,413,680 | MDU6SXNzdWU1MjQ0MTM2ODA= | 29,687 | 'sort_index"does not work with 'pd.set_option('mode.use_inf_as_na',True)' | {
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In [12]: pd.set_option('mode.use_inf_as_na',False)
In [13]: df
Out[13]:
B
2018-09-25 14:47:31.500 0.0
2018-04-03 22:55:13.000 1.0
2018-09-04 09:10:07.500 2.0
2018-11-30 10:32:08.000 NaN
2018-03-27 14:21:12.500 4.0
2018-09-28 14:30:36.500 6.0
2018-07-16 21:56:48.0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29688 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29688/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29688/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29688/events | https://github.com/pandas-dev/pandas/issues/29688 | 524,414,045 | MDU6SXNzdWU1MjQ0MTQwNDU= | 29,688 | ENH: Group some columns in subplots with DataFrame.plot | {
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... | open | false | null | [] | null | 2 | 2019-11-18T14:47:25Z | 2021-07-23T04:41:15Z | null | NONE | null | `df.plot(subplots=True)` will create one subplot per column. Is there a way to group multiple columns on the same subplot (and leave the rest of the column separated)?
I'd be happy to submit a PR if that's something you'd consider? In terms of API `subplot` could accept a list of tuples where each tuple indicates ... | {
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... | open | false | null | [] | null | 2 | 2019-11-18T16:01:13Z | 2021-07-23T04:42:06Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
import pandas as pd
df = pd.read_parquet(
'https://github.com/WillKoehrsen/Data-Analysis/blob/master/plotly/data/medium_data_2019_01_06?raw=true'
)
```
#### Problem description
Sorry I am newbie in pandas, and before today ne... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29690 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29690/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29690/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29690/events | https://github.com/pandas-dev/pandas/pull/29690 | 524,461,051 | MDExOlB1bGxSZXF1ZXN0MzQyMjMxNTkz | 29,690 | BUG: Series groupby does not include nan counts for all categorical labels (#17605) | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2019-11-18T16:02:26Z | 2019-11-20T12:46:24Z | 2019-11-20T12:46:19Z | CONTRIBUTOR | null | - [x] closes #17605
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This is a simple, low-impact fix for #17605. | {
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```python
import pandas as pd
import numpy as np
df = pd.DataFrame({'ind':[np.nan,1],'col':[0,1]}).groupby('ind').sum()
df
```
results in
```
col
ind
1.0 1
```
#### Problem description
Groupby ignores groups that contain a np.nan in... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Split test cases in pandas/tests/frame/test_indexing into a sub directory (like pandas/tests/indexing). Still main file is pretty huge. Will update... | {
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On `master` the following raises for `how='outer'` and `how='right'` with duplicate `suffixes`:
```python
In [1]: import pandas as pd; pd.__version__
Out[1]: '0.26.0.dev0+958.g545d17529'
In [2]: df1 = pd.DataFrame({'A': list('ab'), 'B': [0, 1]})
In [3]: df... | {
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```python
import pandas as pd
pd.show_versions()
# Create Multi-Index
df = pd.DataFrame({'col1':[1,2,3], 'col2':[11,12,13]})
df = pd.concat([df], keys=['multi'], names=['level1'], axis=1)
for i in range(100):
df[i, 'colA'] = 10
a = pd.DataFr... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
cc @WillAyd | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29701 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29701/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29701/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29701/events | https://github.com/pandas-dev/pandas/pull/29701 | 524,690,037 | MDExOlB1bGxSZXF1ZXN0MzQyNDIwMDMz | 29,701 | format replaced with f-strings | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
ref #29547 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29702 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29702/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29702/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29702/events | https://github.com/pandas-dev/pandas/pull/29702 | 524,718,198 | MDExOlB1bGxSZXF1ZXN0MzQyNDQyOTY0 | 29,702 | REF: use _extract_result in Reducer.get_result | {
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This avoids an unnecessary `np.isscalar` call. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29703 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29703/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29703/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29703/events | https://github.com/pandas-dev/pandas/pull/29703 | 524,728,941 | MDExOlB1bGxSZXF1ZXN0MzQyNDUxNTI4 | 29,703 | TYP: more annotations for io.pytables | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29705 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29705/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29705/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29705/events | https://github.com/pandas-dev/pandas/issues/29705 | 524,830,092 | MDU6SXNzdWU1MjQ4MzAwOTI= | 29,705 | Misaligned X axis when plotting datetime indexed series with regular and irregular time index | {
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... | open | false | null | [] | null | 4 | 2019-11-19T07:39:01Z | 2021-07-23T04:42:43Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Create sample data
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
p1d = {'2016-08-10 10:00:00': 2.290438,
'2016-10-12 08:20:00': 1.314112,
'2016-11-15 12:45:00': 0.213702,
'2017-04-27 18:30:00': 0.2567... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29706 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29706/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29706/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29706/events | https://github.com/pandas-dev/pandas/issues/29706 | 524,864,263 | MDU6SXNzdWU1MjQ4NjQyNjM= | 29,706 | series.to_json + isoformat: bad serialization of naive dates (as utc stamps) | {
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... | 3 | 2019-11-19T08:57:09Z | 2021-07-23T04:44:16Z | null | NONE | null | #### Exhibited there
```python
from datetime import datetime
import pandas as pd
def test_json():
series = pd.Series(
[1., 2., 3.],
index=pd.date_range(datetime(2020, 1, 1), freq='H', periods=3)
)
jsonseries = series.to_json(date_format='iso')
assert jsonseries == (
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29707 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29707/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29707/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29707/events | https://github.com/pandas-dev/pandas/issues/29707 | 524,880,507 | MDU6SXNzdWU1MjQ4ODA1MDc= | 29,707 | .loc assignment with empty label list should not convert dtypes | {
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```python
import pandas as pd
df = pd.DataFrame({'a':[2,3]})
print(df.a.dtype) # int64
df.loc[[]] = 0.1
print(df.a.dtype) # float64!
```
#### Problem description
The `.loc`-Assignment with empty label list does not change any dataframe row, so it should not convert the column datatype from... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29708 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29708/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29708/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29708/events | https://github.com/pandas-dev/pandas/issues/29708 | 524,983,319 | MDU6SXNzdWU1MjQ5ODMzMTk= | 29,708 | Indexing (__getitem__) of DataFrame/Series with ExtensionArray densifies the array | {
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"followers_url": "https://api.github.com/users/wesm... | 0 | 2019-11-19T12:37:31Z | 2019-12-04T14:15:14Z | 2019-12-04T14:15:14Z | MEMBER | null | I noticed in GeoPandas that filtering a series with a mask "densifies" the ExtensionArray (= converting the ExtesionArray to a materialized numpy array), which can potentially be very expensive (if the ExtensionArray doesn't store a numpy array of scalars under the hood).
This is quite problematic for such a basic ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29709 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29709/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29709/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29709/events | https://github.com/pandas-dev/pandas/issues/29709 | 524,991,628 | MDU6SXNzdWU1MjQ5OTE2Mjg= | 29,709 | DataFrame.at indexing with date string promotes column type, while indexing with datetime casts value | {
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```python
index = pd.date_range("2019-01-01", "2019-01-02", freq="D")
df = pd.DataFrame(index=index, columns=["A"]).fillna(1)
>>> df.at[pd.to_datetime('2019-01-01'), 'A'] = 0.98
>>> df
A
2019-01-01 0 # cast to column dtype
2019-01-02 1
>>... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29710 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29710/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29710/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29710/events | https://github.com/pandas-dev/pandas/issues/29710 | 525,056,399 | MDU6SXNzdWU1MjUwNTYzOTk= | 29,710 | DEPR: Deprecate `.str` accessor on object-dtype. | {
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"defaul... | open | false | null | [] | null | 7 | 2019-11-19T14:48:19Z | 2021-07-23T04:51:29Z | null | CONTRIBUTOR | null | This issue discusses a future deprecation of the `.str` accessor on StringArray.
It's probably blocked by making `Series(['a', 'b', 'c'])` infer StringDtype, rather
than object dtype.
In https://github.com/pandas-dev/pandas/pull/29640, we split the implementation
of `.str` methods into two: one for the old `objec... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29711 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29711/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29711/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29711/events | https://github.com/pandas-dev/pandas/issues/29711 | 525,095,475 | MDU6SXNzdWU1MjUwOTU0NzU= | 29,711 | Dropna Subnet changes timestamp format in to_csv() | {
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... | open | false | null | [] | null | 4 | 2019-11-19T15:49:00Z | 2019-12-10T05:26:31Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```
import pandas as pd
import datetime
date_example_string = "1911180945"
ts = datetime.datetime.strptime(
date_example_string, "%y%m%d%H%M%S"
)
test_json = [
{
"created_at": "2019-11-18 16:28:42.932887",
"foo": "bar",
}
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https://api.github.com/repos/pandas-dev/pandas/issues/29712 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29712/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29712/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29712/events | https://github.com/pandas-dev/pandas/pull/29712 | 525,126,946 | MDExOlB1bGxSZXF1ZXN0MzQyNzc2NzUz | 29,712 | CI: Fix clipboard problems | {
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Fixes the clipboard problems in the CI. With this PR we're sure they are being run, and they work as expected. | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-11-19T16:55:18Z | 2019-11-20T12:36:09Z | 2019-11-20T12:36:07Z | CONTRIBUTOR | null | This was leaking to stdout when the pytest `-s` flag was used. | {
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