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- [x ] closes #31233
(Not sure these are relevant for a doc change?)
- [ ] tests added / passed
- [ ] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/31318 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31318/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31318/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31318/events | https://github.com/pandas-dev/pandas/pull/31318 | 555,164,155 | MDExOlB1bGxSZXF1ZXN0MzY3MTcyNzA0 | 31,318 | REF: make PeriodIndex.get_value wrap PeriodIndex.get_loc | {
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```
dti = pd.date_range("2016-01-01", periods=3, freq="MS")
pi = dti.to_period("H")
ser = pd.Series(range(7, 10), index=pi)
key = dti[0]
```
master
```
>>> pi.get_loc(key)
0
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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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https://api.github.com/repos/pandas-dev/pandas/issues/31324 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31324/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31324/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31324/events | https://github.com/pandas-dev/pandas/issues/31324 | 555,204,560 | MDU6SXNzdWU1NTUyMDQ1NjA= | 31,324 | CI: seems jedi caused ci to fail in certain versions | {
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self = <pandas.tests.indexes.test_base.TestIndex object at 0x7f666b28c990>
ip = <IPython.core.interactiveshell.InteractiveShell object at 0x7f666b28ccd0>
@async_mark()
async def test_tab_complete_warning(self, ip):
# ***/issues/16409
pytest.importorskip("IPython", minversion="6.0.0")... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31325 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31325/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31325/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31325/events | https://github.com/pandas-dev/pandas/issues/31325 | 555,206,312 | MDU6SXNzdWU1NTUyMDYzMTI= | 31,325 | BUG: MultiIndex intersection with sort=False does not preserve order | {
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"followers_url": "https://api.github.com/users/j... | 0 | 2020-01-26T10:05:17Z | 2020-02-12T16:04:23Z | 2020-02-12T16:04:23Z | CONTRIBUTOR | null | ```python
import pandas as pd
arrays = [['bar', 'bar', 'baz', 'baz', 'foo', 'foo', 'qux', 'qux'],
['one', 'two', 'one', 'two', 'one', 'two', 'one', 'two']]
tuples = list(zip(*arrays))
idx = pd.MultiIndex.from_tuples(tuples, names=['first', 'second'])
left = idx[2::-1]
print(left)
#> MultiIndex([('... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31326 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31326/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31326/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31326/events | https://github.com/pandas-dev/pandas/issues/31326 | 555,249,857 | MDU6SXNzdWU1NTUyNDk4NTc= | 31,326 | BUG: inconsistent behaviors for Index.union() and Index.intersection() with duplicates | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2020-01-26T16:09:21Z | 2021-03-04T02:01:10Z | 2021-03-04T02:01:10Z | CONTRIBUTOR | null | While working on #31312, I noticed that the behavior of `Index.union()` and `Index.intersection()` is inconsistent when there are duplicates in one of the Index.
```python
import pandas as pd
import traceback
a = pd.Index([1, 2, 2, 3])
b = pd.Index([3, 3, 4])
def test_setops(left, right):
for op in ["i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31327 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31327/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31327/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31327/events | https://github.com/pandas-dev/pandas/issues/31327 | 555,251,801 | MDU6SXNzdWU1NTUyNTE4MDE= | 31,327 | Consider moving tests/ outside the pandas module | {
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#### Problem description
Hi.
After a `pip install pandas` the `lib/site-packages/pands/tests/` includes a lot of testing code which is definitely not relevant for me and many other end users of pandas.
This bloats the installation and makes installation slower.
I'm working on packaging a python environment to d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31328 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31328/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31328/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31328/events | https://github.com/pandas-dev/pandas/pull/31328 | 555,253,084 | MDExOlB1bGxSZXF1ZXN0MzY3MjM1OTk0 | 31,328 | Ensure conversion to "native" types for integer EA | {
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- [x] tests added / passed
- [x] passes `black pandas`
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```python
df = pd.DataFrame(
np.arange(12).reshape((4, 3)),
index=[["a", "a", "b", "b"], [1, 2, 1, 2]],
columns=[["Ohio", "Ohio", "Colorado"], ["Green", "Red", "Green"]],
)
df.loc[(slice(None), [2,1]), :] ... | {
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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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import pandas as pd
x = pd.DataFrame({'A': [1, 2, 3], 'X': [11, 12, 13]})
y = pd.DataFrame({'A': [1, 1, 2, 2, 3, 3], 'Y': [111, 111, 222, 222, 333, 333]})
We want to extend x with column 'Y' from y, based on 'A'.
x1 = pd.merge(x, y, how='left', on='A')
When we check the r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31333 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31333/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31333/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31333/events | https://github.com/pandas-dev/pandas/pull/31333 | 555,348,720 | MDExOlB1bGxSZXF1ZXN0MzY3MzA2MDQz | 31,333 | DEPR: indexing Series with single-entry list | {
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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
Could use a better warning message, suggestions welcome. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31334 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31334/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31334/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31334/events | https://github.com/pandas-dev/pandas/pull/31334 | 555,349,454 | MDExOlB1bGxSZXF1ZXN0MzY3MzA2NjE0 | 31,334 | DEPR: row-based indexing in DataFrame.__getitem__ | {
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"color": "53... | closed | false | null | [] | null | 7 | 2020-01-27T04:24:57Z | 2021-11-20T23:23:15Z | 2020-02-08T21:46:23Z | MEMBER | null | Discussed recently in #9595. The two tests this edits are the only two that go down this path AFAICT.
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https://api.github.com/repos/pandas-dev/pandas/issues/31335 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31335/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31335/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31335/events | https://github.com/pandas-dev/pandas/pull/31335 | 555,352,592 | MDExOlB1bGxSZXF1ZXN0MzY3MzA5MTI3 | 31,335 | REF: share code for set-like ops in DTI/TDI/PI | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2020-01-27T04:41:04Z | 2020-02-09T17:30:46Z | 2020-02-09T16:51:59Z | MEMBER | null | The DatetimeIndexOpsMixin._concat_same_type this has can probably become the ExtensionIndex._concat_same_type default. I expect IntervalIndex can be updated to look the same pretty easily, not so sure about CategoricalIndex based on a quick look. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31336 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31336/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31336/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31336/events | https://github.com/pandas-dev/pandas/issues/31336 | 555,353,303 | MDU6SXNzdWU1NTUzNTMzMDM= | 31,336 | json normalize max level not working | {
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] | closed | false | null | [] | null | 4 | 2020-01-27T04:44:32Z | 2020-06-11T23:07:38Z | 2020-01-27T05:23:49Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
from pandas.io.json import json_normalize
data = [{'id': 1,
'name': "Cole Volk",
'fitness': {'height': 130, 'weight': 60}},
{'name': "Mose Reg",
'fitness': {'height': 130, 'weight': 60}},
{'id': 2,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31337 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31337/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31337/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31337/events | https://github.com/pandas-dev/pandas/pull/31337 | 555,423,074 | MDExOlB1bGxSZXF1ZXN0MzY3MzY3MzM0 | 31,337 | CLN: some minor cleanups | {
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If we make a Timestamp in an ambiguous DST period while specifying via the offset (or by supplying `Timestamp.value` directly) that the time is before DST switch, the representation then shows that this is after DST switch. This is backed up by calling `Timestamp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31339 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31339/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31339/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31339/events | https://github.com/pandas-dev/pandas/issues/31339 | 555,499,512 | MDU6SXNzdWU1NTU0OTk1MTI= | 31,339 | Sometimes one day of when reading date fields | {
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```python
import datetime
import pandas
df = pandas.read_excel('28422_LZ.xlsx', sheet_name='Laufzettel')
stamp = df[df.columns[3]][16].timestamp()
print('first date =', datetime.datetime.utcfromtimestamp(stamp).strftime('%Y-%m-%d'), '(one day of)')
df = pandas.read_excel('test.xlsx', sheet... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31340 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31340/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31340/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31340/events | https://github.com/pandas-dev/pandas/issues/31340 | 555,513,697 | MDU6SXNzdWU1NTU1MTM2OTc= | 31,340 | Bug: loc assignment results in wrong dtype | {
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```python
df = pd.DataFrame({'id': ['A'], 'a': [1.2], 'b': [0.0], 'c': [-2.5]})
cols = ['a', 'b', 'c']
df.loc[:, cols] = df.loc[:, cols].astype('float32')
print(df.dtypes)
```
#### Problem description
In this code we expect columns `'a', 'b', 'c'` will have types `float32`.... | {
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```
##[error]2 test(s) failed, 61943 test(s) collected.
Skipping uploading of coverage data.
=================================== FAILURES =================... | {
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```python
>>> s1 = pd.Series(list('abcde'),index=[5,7,9,11,13])
>>> s2 = pd.Series(list('abcde'),index=[5.5,7.5,9.5,11.5,13.5])
>>> print(s1[2:])
>>> print(s2[2:])
9 c
11 d
13 e
dtype: object
5.5 a
7.5 b
9.5 c
11.5 d
13.5 ... | {
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```python
import pandas as pd
df = pd.DataFrame({"A": [0, None], "B": [0, None]})
df.style.highlight_null(null_color="red", subset=["A"])
```
out:
```
---------------------------------------------------------------------------
TypeError ... | {
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- [x] closes #31345
- [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/31351 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31351/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31351/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31351/events | https://github.com/pandas-dev/pandas/issues/31351 | 555,665,157 | MDU6SXNzdWU1NTU2NjUxNTc= | 31,351 | read_sql routes sql query as table name snowflake-sqlalchemy | {
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with [snowflake-sqlalchemy ](https://github.com/snowflakedb/snowflake-sqlalchemy) installed:
```python
from sqlalchemy import create_engine
import pandas as pd
CONN_STRING='snowflake://user:password@account/database'
engine=create_engine(CONN_STRING)
conn=engine.connect()
sql= 'SELECT COU... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31353 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31353/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31353/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31353/events | https://github.com/pandas-dev/pandas/pull/31353 | 555,674,190 | MDExOlB1bGxSZXF1ZXN0MzY3NTczMzU3 | 31,353 | CLN: remove construct_from_string from various | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31354 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31354/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31354/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31354/events | https://github.com/pandas-dev/pandas/issues/31354 | 555,682,974 | MDU6SXNzdWU1NTU2ODI5NzQ= | 31,354 | BUG: Timedelta components rounded by float imprecision | {
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... | closed | false | null | [] | null | 1 | 2020-01-27T16:19:06Z | 2020-02-02T21:08:57Z | 2020-02-02T21:08:57Z | CONTRIBUTOR | null | #### Problem description
It appears that there is some premature rounding happening in the `Timedelta` constructor that makes it so the unit-adjusted sums of the `days`, `seconds`, `microseconds` and `nanoseconds` attributes do not sum to the total number of nanoseconds. A fundamental assumption of the `datetime.tim... | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2020-01-27T16:25:20Z | 2020-09-13T20:22:37Z | 2020-09-13T20:22:37Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
from pandas.core.reshape.util import cartesian_product
dims = [np.arange(0, 22, dtype=np.int16) for i in range(12)] + [(np.arange(15128, dtype=np.int16)), ]
cartesian_product(dims)
# ValueError: negative dimensions are not allo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31356 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31356/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31356/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31356/events | https://github.com/pandas-dev/pandas/issues/31356 | 555,715,099 | MDU6SXNzdWU1NTU3MTUwOTk= | 31,356 | AssertionError creating array with StringDtype instead of StringDtype(), can we have a friendlier error message? | {
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```python
pd.Series(["a", "b"], dtype=pd.StringDtype)
```
I wrote this by mistake — this works:
```python
pd.Series(["a", "b"], dtype=pd.StringDtype())
```
When running the former, I get a traceback with an AssertionError:
```
Tracebac... | {
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https://matplotlib.org/gallery/lines_bars_and_markers/scatter_with_legend.html
Is that something that pandas could/should use?
I feel like there's a tricky issue in deciding whether the color variable is categorical but basically matplotlib allow... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
there is an underlying problem with MultiIndex.get_loc that needs to get worked out, but that's going to take a while. This fixes the reported regr... | {
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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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cc @jorisvandenbossche. The alternative is to use a warnings filter inside SingleBlockManger.get_slice to filter the warning, but I think avoiding the warning in the first place is a bit nicer. | {
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```python
# Your code here
#problem: pandas to_numeric might give some errors when using coerce
# it is adding digits at the end.
import pandas as pd
#minimal example
data = [{'value': '.'}, {'value': '.'}, {'value': '.'}, {'value': '.'}, {'value': '... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31368 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31368/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31368/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31368/events | https://github.com/pandas-dev/pandas/issues/31368 | 555,837,443 | MDU6SXNzdWU1NTU4Mzc0NDM= | 31,368 | Index name assignment resolution logic changes depending on whether DataFrame has any rows | {
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"followers_url": "https://api.github.com... | 2 | 2020-01-27T21:15:57Z | 2020-09-08T13:45:09Z | 2020-09-08T13:45:09Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
def get_name_of_assigned_index(df_size, series_size):
df = pd.DataFrame({}, index=pd.RangeIndex(df_size, name='df_index'))
series = pd.Series(1.23, index=pd.RangeIndex(series_size, name='series_index'))
df['series'] = ... | {
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] | closed | false | null | [] | null | 2 | 2020-01-27T21:27:49Z | 2020-01-28T16:18:19Z | 2020-01-28T16:18:19Z | CONTRIBUTOR | null | At https://dev.pandas.io/docs/index.html, the alignment is slightly off. Especially notable for User Guide and API reference
cc @jorisvandenbossche
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"de... | closed | false | null | [] | null | 0 | 2020-01-27T21:43:20Z | 2020-09-22T00:57:19Z | 2020-09-22T00:57:19Z | MEMBER | null | I think we can de-duplicate some more code by a) noticing that IntervalArray._check_closed_matches is performing the same task as DatetimeLikeArrayMixin._check_compatible_with and b) dispatching to IntervalArray methods more.
`_concat_same_dtype` could become (this could even go as the default in ExtensionIndex)
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```python
import pandas as pd
s = pd.Series([1, 2, 3, 4, 5])
t = pd.Series([10, 11, 12], index=range(3, 6))
print(s.update(t).reindex([1, 2, 3, 4, 5]))
```
#### Problem description
Obviously the previous doesn't work. `s.update(t)` is executed inplac... | {
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] | closed | false | null | [] | null | 1 | 2020-01-28T02:36:38Z | 2020-01-31T03:08:52Z | 2020-01-31T03:08:52Z | MEMBER | null | - [x] closes #27522
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I haven't actually performed the refactor(pandas.core -> pandas._core) yet so tests are failing because of the warnings.
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I have a data-frame of the following order: https://imgur.com/a/fp2hKZe on which i ran the following code
```python
for i in r.index[1:]:
if (r.at[i, 'lbl'] == r.at[i-1, 'lbl']) & (r.at[i, 'lbl'] == 'f'):
r.at[i, 'date'] = r.at[i, 'date'] - r.at[i-1, 'date']
elif r.at[i, 'lbl'] == 'f':
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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```python
# Create a DataFrame with index and one Series
df = pd.DataFrame({"id":[1,2,3,3],"val":["abcde","bbcde","cbcde","dbcde"]})
df.set_index("id",inplace=True)
```
Calling `.loc` when the result length is 2 returns a Series (as expected):
```
type(df['val'].loc[3])
```
Output:
```
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Using Python 3.6.
My problem seems to be close to issue [#14734](https://github.com/pandas-dev/pandas/issues/14734) but with a different error type though. However, please forgive my lack of competence, but I am not able to understand 1. if my issue is really similar and 2. if the issue that seemed ... | {
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- [x] closes #1135
- [x] tests added / passed
- [x] passes `black pandas`
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... | 3 | 2020-01-28T12:40:10Z | 2020-05-13T02:53:32Z | null | CONTRIBUTOR | null | Followup to https://github.com/pandas-dev/pandas/pull/31290. Currently `pd.cut` doesn't play nicely with all extension arrays. To support them, I think we'll need one addition to the interface.
We need an array of integers to pass to searchsorted in https://github.com/pandas-dev/pandas/blob/4edcc5541ff3f6470f5e3c083... | {
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> class SAS:
>
> params = ["sas7bdat", "xport"]
> param_names = ["format"]
>
> def setup(self, format):
> # Read files that are located in 'pandas/io/tests/sas/data'
However, the files are in 'pandas/tests/io/sas/data'.
EDIT:
unrelated typ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31395 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31395/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31395/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31395/events | https://github.com/pandas-dev/pandas/pull/31395 | 556,351,903 | MDExOlB1bGxSZXF1ZXN0MzY4MTMyMzQ0 | 31,395 | GH31391 - Fixed typos and fixed inexistant path in a SAS class comment | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31396 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31396/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31396/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31396/events | https://github.com/pandas-dev/pandas/issues/31396 | 556,353,957 | MDU6SXNzdWU1NTYzNTM5NTc= | 31,396 | TypeError when using 'comment=...' in read_csv from a file | {
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Given a data file `data.csv` with a line that is commented out:
```csv
+1.280000e+002,-4.078996e+001
+2.560000e+002,-5.155923e+001
# +3.840000e+002,-7.221378e+001
+5.120000e+002,-7.918677e+001
+6.400000e+002,-7.919656e+001
```
```python
import pandas as pd
pd.read_csv('data.csv', sep=None,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31397 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31397/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31397/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31397/events | https://github.com/pandas-dev/pandas/pull/31397 | 556,371,984 | MDExOlB1bGxSZXF1ZXN0MzY4MTQ5MDI3 | 31,397 | TYP: Annotate | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31398 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31398/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31398/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31398/events | https://github.com/pandas-dev/pandas/issues/31398 | 556,385,260 | MDU6SXNzdWU1NTYzODUyNjA= | 31,398 | NTile function | {
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#### Problem description
I've investigated on pandas a `ntile` operation alternative. I just found `qcut` but it seems there is a difference between them (at least I could have the same results I expected).
for more details about `NTile`[3] :
> NTILE() function allows you to divide ordered rows in the partit... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31399 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31399/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31399/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31399/events | https://github.com/pandas-dev/pandas/pull/31399 | 556,418,133 | MDExOlB1bGxSZXF1ZXN0MzY4MTg3MDky | 31,399 | PERF: avoid is_bool_indexer check where possible | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31400 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31400/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31400/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31400/events | https://github.com/pandas-dev/pandas/issues/31400 | 556,419,536 | MDU6SXNzdWU1NTY0MTk1MzY= | 31,400 | read_csv error for a long entry | {
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```python
df = pd.read_csv(fileName, delimiter='\t', comment='#', skip_blank_lines=True)
```
#### Problem description
After reading a csv file, all the entries after a particular column in only one row shows as 'na', not the real value. This is due to the ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31403 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31403/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31403/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31403/events | https://github.com/pandas-dev/pandas/pull/31403 | 556,463,434 | MDExOlB1bGxSZXF1ZXN0MzY4MjI1MDkz | 31,403 | Backport PR #31361 on branch 1.0.x (Avoid Index DeprecationWarning in Series getitem) | {
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] | closed | false | null | [] | null | 5 | 2020-01-28T21:10:39Z | 2020-01-29T17:34:38Z | 2020-01-29T17:34:35Z | CONTRIBUTOR | null | I don't think this needs to be backported. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31405 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31405/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31405/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31405/events | https://github.com/pandas-dev/pandas/pull/31405 | 556,472,400 | MDExOlB1bGxSZXF1ZXN0MzY4MjMyNjE5 | 31,405 | Backport PR #31136 on branch 1.0.x (COMPAT: Return NotImplemented for subclassing) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31406 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31406/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31406/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31406/events | https://github.com/pandas-dev/pandas/pull/31406 | 556,491,471 | MDExOlB1bGxSZXF1ZXN0MzY4MjQ4NjYw | 31,406 | REF: consolidate DTI/TDI/PI get_value in ExtensionIndex, associated cleanups | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2020-01-28T21:50:47Z | 2020-02-02T23:12:40Z | 2020-02-02T22:52:06Z | MEMBER | null | @jschendel does the holds_integer change for IntervalIndex make sense?
@jreback is this a correct usage of self.holds_integer() as meaning "we only fall back to positional indexing if not self.holds_integer()" | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31407 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31407/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31407/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31407/events | https://github.com/pandas-dev/pandas/issues/31407 | 556,528,317 | MDU6SXNzdWU1NTY1MjgzMTc= | 31,407 | CI: revert the warning change once IPython updates | {
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"description": ... | open | false | null | [] | null | 3 | 2020-01-28T22:49:21Z | 2021-02-02T17:55:58Z | null | MEMBER | null | A couple days ago, there was a CI broken caused by the latest jedi release, and back then, made a patch to catch the warning. Ideally, after ipython updates and fixes the deprecated code, then the warning should be removed, and we should be able to revert the change in #31323
FYI, I created an issue on IPython: http... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31408 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31408/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31408/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31408/events | https://github.com/pandas-dev/pandas/pull/31408 | 556,558,702 | MDExOlB1bGxSZXF1ZXN0MzY4MzA3NTQy | 31,408 | REF: docstrings that dont need to go into shared_docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31409 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31409/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31409/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31409/events | https://github.com/pandas-dev/pandas/pull/31409 | 556,596,673 | MDExOlB1bGxSZXF1ZXN0MzY4MzM4MDMy | 31,409 | PERF/CLN: float-to-int casting | {
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```
cast1 = com.cast_scalar_indexer_master
cast2 = com.cast_scalar_indexer_PR
def cast3(key):
# Effectively what we have in _maybe_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31410 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31410/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31410/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31410/events | https://github.com/pandas-dev/pandas/issues/31410 | 556,612,443 | MDU6SXNzdWU1NTY2MTI0NDM= | 31,410 | Cross tabulations for categorical data doesn't work as the way expected in the guide | {
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```python
In [73]: foo = pd.Categorical(['a', 'b'], categories=['a', 'b', 'c'])
In [74]: bar = pd.Categorical(['d', 'e'], categories=['d', 'e', 'f'])
In [75]: pd.crosstab(foo, bar)
Out[75]:
col_0 d e
row_0
a 1 0
b 0 1
```
#### Probl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31411 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31411/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31411/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31411/events | https://github.com/pandas-dev/pandas/pull/31411 | 556,615,739 | MDExOlB1bGxSZXF1ZXN0MzY4MzUzMTcw | 31,411 | COMPAT: dont pass dtype to datetime64 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31412 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31412/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31412/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31412/events | https://github.com/pandas-dev/pandas/pull/31412 | 556,639,292 | MDExOlB1bGxSZXF1ZXN0MzY4MzcyNTc3 | 31,412 | CLN: Replace '.format' with f-strings in some test files #29547 | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2020-01-29T05:07:38Z | 2020-02-02T03:06:03Z | 2020-01-31T04:02:40Z | CONTRIBUTOR | null | Updates the below 2 test files to use f-strings (fast and preferred) instead of '.format' (old and slow)
1) pandas/tests/reshape/test_reshape.py
2) pandas/tests/scalar/period/test_period.py
For more details on the issue, refer: https://github.com/pandas-dev/pandas/issues/29547
- [x] tests passed
- [x] passe... | {
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"description": "Concat, Merge/Join, Stack/Unstack, Explode",
"id": 13098779,
"name": "Reshaping",
"node_id": "MDU6TGFiZWwxMzA5ODc3OQ==",
"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Reshaping"
},
{
"color": "AD7FA8",
"de... | closed | false | null | [] | {
"closed_at": "2020-07-28T18:13:47Z",
"closed_issues": 2378,
"created_at": "2019-12-02T12:52:48Z",
"creator": {
"avatar_url": "https://avatars.githubusercontent.com/u/953992?v=4",
"events_url": "https://api.github.com/users/jreback/events{/privacy}",
"followers_url": "https://api.github.com/users/j... | 2 | 2020-01-29T06:06:21Z | 2020-03-04T14:17:16Z | 2020-03-04T14:17:16Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> import pandas as pd
>>> pd.__version__
'1.0.0rc0+233.gec0996c67'
>>> df = pd.DataFrame({'A':[1,2]})
>>> df.A.append(df)
0 A
0 1.0 NaN
1 2.0 NaN
0 NaN 1.0
1 NaN 2.0
```
#### Problem description
The behavior of append ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31414 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31414/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31414/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31414/events | https://github.com/pandas-dev/pandas/issues/31414 | 556,738,512 | MDU6SXNzdWU1NTY3Mzg1MTI= | 31,414 | Cannot replace all occurences of infs and nans to None with a single df.replace | {
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"description": "np.nan, pd.NaT, pd.NA, d... | open | false | null | [] | null | 1 | 2020-01-29T09:29:26Z | 2020-04-25T12:41:44Z | null | NONE | null | #### Example code
```python
>>> df = pd.DataFrame(
... {'foo':[
... np.nan,
... np.inf,
... 1.1,
... 2.2
... ],
... 'bar':[
... 1,
... -np.inf,
... 2.1,
... 3.2
... ]
... | {
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